Factors

Understanding AI-Powered Sales Intelligence

Sales intelligence platforms use data analytics, machine learning, and automation to change how B2B sales teams find and close deals with customers. These systems analyze large amounts of data from company websites, social media, industry databases, and customer interactions to give useful insights to sales teams.

Modern sales intelligence tools do more than provide basic contact information. They track buying signals, watch digital behavior, and find patterns that show when someone might be ready to buy. For example, if a potential customer visits a website more often, downloads certain content, or shows interest in competitors, the system marks these as buying signals.

Sales teams using these platforms get real-time updates about prospects, such as leadership changes, funding news, technology updates, and expansion plans. This helps salespeople reach out at the right time and adjust their approach based on the prospect's situation.

The technology also removes the need for manual research. Instead of spending hours gathering information, sales representatives can quickly access detailed profiles with firmographic data, technographic details, and engagement history. This efficiency lets them focus on building relationships and closing deals, not on collecting data.

TL;DR

• AI-powered sales intelligence improves B2B sales by analyzing customer data and predicting buying signals.
• Key features include predictive lead scoring, customer behavior tracking, and real-time market insights.
• AI automates lead generation, sales forecasting, and pipeline management to optimize efficiency.
• Successful implementation requires data quality, seamless integration, user training, and ROI tracking.

Key Components of Modern Sales Intelligence

Modern sales intelligence relies on four key components that create a complete sales system:

1. Data Analytics and Processing is the core. It turns raw data into useful insights. The system gathers information from CRM data, social media, website visits, and industry databases to form a full view of potential customers.
2. Predictive Lead Scoring uses AI to rank prospects by their chance to convert. By looking at past data patterns, it finds which traits and actions lead to successful sales and highlights the best leads.
3. Customer Behavior Analysis monitors how prospects interact with your company. It tracks email engagement, content downloads, website navigation, and social media to understand buying intent and preferences.
4. Real-time Market Insights update the sales team on changes in target accounts and the industry. This includes alerts about company growth, new funding, leadership changes, or new technology. These insights help sales teams time their outreach well and tailor their approach to the prospect's current situation.

Transforming Sales Operations with AI

AI is changing how sales teams work every day in four main ways. 

First, automated lead generation finds and qualifies prospects without manual effort. AI scans various data sources, identifies companies that fit the ideal customer profile, and ranks them by purchase likelihood. This saves hours once spent on research and list building.

Intelligent customer profiling automatically creates detailed buyer personas. The system analyzes past successful deals, current customer behaviors, and market signals to build accurate profiles. These profiles help sales teams understand prospects better and tailor their approach.

Sales forecasting is more accurate with AI analyzing historical performance data, current pipeline status, and market conditions. This helps teams predict quarterly results and adjust strategies early if needed. AI spots patterns humans might miss, like seasonal changes or industry trends that affect buying decisions.

Pipeline management is smoother with AI tracking deal progress and flagging risks. The system monitors prospect engagement, identifies stalled deals, and suggests next steps. It also predicts which deals are likely to close, helping sales managers focus their coaching efforts where they are needed most.

Advanced Features of Sales Intelligence Platforms

Modern sales intelligence platforms have four key features that make them valuable for sales teams. Natural Language Processing (NLP) helps these platforms understand customer conversations, emails, and support tickets. This gives sales reps insights from every customer interaction, not just the ones they record.

Machine Learning lets platforms improve over time. They learn from successful deals, failed attempts, and market changes to give better recommendations. The system gets smarter with each interaction, helping sales teams make better decisions based on past success.

CRM integration ensures that sales intelligence works smoothly with existing tools. Data moves automatically between systems, keeping customer records updated without extra work. Sales reps can access insights directly in their CRM, making it easy to use.

Customizable analytics dashboards let teams track what matters most to them. Whether it's lead conversion rates, deal speed, or customer engagement, teams can create views showing their key metrics. These dashboards update in real time, giving sales leaders the information they need to make quick decisions and adjust strategies as needed.

Implementing Sales Intelligence Solutions

Start with a strong data setup. Your system needs clean, organized data from CRM, email, call records, and social media sources. This ensures your AI tools have quality information.

Team training is key but often missed. Sales reps need to see how these tools help them sell better. Show them examples of how sales intelligence saves time and closes more deals. Begin with a small group of early adopters who can help convince others of the benefits.

When adding new tools, keep the workflow simple. Your sales intelligence solution should fit naturally with current processes. Choose platforms that connect easily with your tech stack and don't make reps switch between systems.

Measure ROI to justify the investment and find areas for improvement. Track metrics like:

• Time saved on research and data entry
  
  
• Increase in qualified leads
  
  
• Higher conversion rates
  
  
• Shorter sales cycles
  
  
• Growth in deal size
  
  

Start small, measure results, and expand based on what works. This approach helps manage costs while proving the value of sales intelligence to stakeholders.

Best Practices for Sales Intelligence

Focus on data quality first. Bad data quality leads to wrong decisions. Schedule regular data cleaning, remove duplicates, and update old information. Train your team to enter data correctly and consistently.

When handling customer data, follow privacy rules like GDPR and CCPA. Get proper consent, store data securely, and be transparent about how you use the information. Document your compliance processes and update them as laws change.

Make your AI systems learn from wins and losses. Feedback is real, so your tools get smarter. Tag successful deals and note what worked to help the system spot similar chances.

Monitor your sales intelligence tools daily. Set up alerts for unusual patterns or drops in accuracy. Track key metrics like:

• Prediction accuracy
  
  
• Data freshness
  
  
• System usage rates
  
  
• Time savings
  
  
• Lead quality scores
  
  

Keep your team informed about system performance. Share wins and address concerns quickly. When people see real benefits, they are more likely to use the tools properly and help improve them.

Future Trends in Sales Intelligence

Sales intelligence will move from looking at past data to more accurately predicting future outcomes. Systems will detect market changes and buying signals before humans can, giving sales teams an edge.

AI will start making basic decisions on its own. It will qualify leads, schedule follow-ups, and adjust prices based on current market conditions. Sales reps will focus on complex negotiations and building relationships while AI handles routine tasks.

Personalization will become very precise. Instead of grouping customers broadly, AI will create unique plans for each prospect. This includes:

• Custom pricing
  
  
• Tailored product suggestions
  
  
• Personalized timing for communication
  
  
• Individual content creation
  
  

Systems will work smoothly across all platforms and tools. Data will automatically move between CRM, email, social media, and analytics tools. This integration will provide a complete view of customer interactions and remove the need for manual data entry.

The future also includes voice-enabled sales intelligence tools. Sales reps will receive real-time coaching during calls and meetings through earpieces. AI will analyze customer tone and sentiment, offering responses and strategies instantly.

Teams that embrace these trends early will gain strong advantages in their markets.

Overcoming Implementation Challenges

Sales teams face four main challenges when using sales intelligence tools:

Data security is the biggest concern. Companies need to protect customer and sales data. To do this, they should:

• Use strong encryption.
• Conduct regular security audits.
• Set clear data policies.
• Follow industry standards.
• Train employees on security.
  
  

User adoption can slow things down. Sales reps may resist tools that change their work habits. To succeed, companies need:

• Step-by-step training
• Clear benefits shown.
• Early wins to build trust.
• Support from leaders.
• Regular feedback.
  
  

System integration can be tricky. New tools must work with current CRM systems, email, and analytics. Solutions include:

• API-first design.
• Professional integration help.
• Regular testing.
• Backup systems.
• Clear documentation.

Cost management needs careful planning. AI tools can bring returns, but the initial cost is high. Companies should:

• Start with small projects.
• Track clear results.
• Scale slowly.
• Budget for training.
• Plan for upkeep costs.

By tackling these challenges early, companies see quicker returns on their sales intelligence tools.

Measuring Success with Sales Intelligence

Companies need clear metrics to track how well their sales intelligence tools work. Here are the key areas to measure:

Key Performance Indicators (KPIs):

• Lead conversion rates.
• Sales cycle length.
• Deal win rates.
• Revenue per sales rep.
• Customer acquisition costs

ROI Tracking:

• Initial investment vs returns.
• Time saved per task.
• Cost savings from automation.
• Revenue increase.
• Customer lifetime value.

Team Performance Metrics:

• Number of qualified leads.
• Meetings scheduled.
• Response times.
• Follow-up effectiveness.
• Sales activity levels.

Customer Success Metrics:

• Customer satisfaction scores.
• Retention rates.
• Upsell/cross-sell success.
• Engagement levels.
• Net Promoter Score.

For best results, companies should:

1. Set baseline measurements before implementation.
2. Track metrics monthly.
3. Compare results across teams.
4. Adjust strategies based on data.
5. Share success stories.

Regular measurement helps teams see what's working and fix what isn't. This data-driven approach ensures continuous improvement and supports further investment in sales intelligence tools.

Check out our Intent Capture and Workflow Automations pages for more insights on enhancing your sales strategies. Additionally, learn how to improve your Account Intelligence and explore our Integrations for seamless data management. If you're interested in boosting your Marketing ROI, our resources can guide you through effective strategies. 

Don't forget to explore our LinkedIn AdPilot to optimize your advertising efforts!

Looking to choose between Factors and ZoomInfo? While these tools seem similar at first glance, they are quite different tools that are designed to solve different problems. Let’s break down what each tool does best so you can figure out which one aligns more effectively with your team’s goals and priorities.
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TL;DR

• Factors tracks marketing and sales performance, connects multi-channel attribution, and provides actionable ROI insights to optimize strategies.
• ZoomInfo offers a vast contact database, enriched company insights, and tools for high-volume sales outreach, ideal for enterprise scalability.
• ZoomInfo excels in reliable contact discovery, detailed company data, and supporting large-scale sales development efforts.
• Factors stands out with advanced campaign analysis, seamless CRM integration, and superior LinkedIn ad performance tracking.

The Big Picture: What Sets Factors and ZoomInfo Apart

ZoomInfo is a massive contact database, making it an essential tool for finding people's contact information and gathering company-specific information. Do you have a target account? ZoomInfo will tell you who works there, their role, contact details, and key company information, like the company’s tech stack and growth signals.

Factors, on the other hand, focuses on understanding how your marketing and sales efforts are performing. It's not just another analytics tool - it connects all your marketing channels like LinkedIn, email, ads, and website interactions into one platform. Unlike traditional analytics tool, this lets you see which combination of touchpoints drives revenue, helping you refine your sales and marketing strategies.

Also read: A guide to marketing attribution.

Who Uses Each Tool? Target Users and Teams That Benefit Most

Factors is ideal for mid-sized and enterprise companies with 51 to 1,000+ employees. These teams focus on making data-driven decisions and gaining deep insights into their marketing and sales performance. General use cases include:

1. SaaS companies analyzing which marketing channels drive enterprise deals.
2. Technology companies optimizing for LinkedIn ads and email campaigns to see how they work together to convert high-value accounts.
3. Enterprise marketing teams tracking and improving multi-channel attribution and aligning sales and marketing efforts.

ZoomInfo is most effective for large enterprise companies and sales teams that need access to reliable contact data at scale. It is especially valuable for:

1. Sales development teams (SDRs) with 100+ members managing high-volume outreach to thousands of prospects.
2. Businesses expanding into new markets where extensive contact data and company insights are critical.

The Technical Details That Matter: Key Features You Need to Know

API Access: Seamless Integration or Limited Flexibility?

API access is a critical feature that often gets overlooked. With Factors, you get API access is provided by default. This means you can:

1. Automatically sync account engagement data with your CRM.
2. Build custom dashboards that combine data from multiple sources.
3. Create automated workflows based on account behavior.
4. Pull data into your own data warehouse for custom analysis.

ZoomInfo only gives API access to their enterprise customers. So if you're not on their top tier plan, you’ll likely manually export data or copy-paste contact information. It's time-consuming and not fun if you're trying to build automated workflows.

Working with LinkedIn

If LinkedIn is a big part of your marketing strategy, here's something interesting: Factors has much deeper LinkedIn integration than ZoomInfo. This is because ZoomInfo competes with some of LinkedIn's products (like Sales Navigator), while Factors functions more like a partner to LinkedIn.

Now, what does this mean in practice? With Factors, you can:

1. Track which target accounts are engaging with your LinkedIn ads. Read more about this on Factors and LinkedIn integration.
2. See how LinkedIn campaigns influence deals alongside other channels.
3. Get better matching between LinkedIn data and your CRM data.
4. Control the frequency of ads shown to each target account. 
5. Understand which LinkedIn ad formats work best for different account segments.
6. Measure the true ROI of your LinkedIn spend, and not just platform metrics.

Playing Nice with Other Tools

ZoomInfo operates like a ‘walled garden.’ It has got features like call recording and sales engagement within its ecosystem. It's great if you want everything from one tool, but it can have limited flexibility.

Factors takes the opposite approach. Need to use different contact databases for different regions? No problem. Want to keep using your current sales engagement platform? Go for it. Here's what that flexibility looks like in practice:

1. Use ZoomInfo for North American contacts but another provider for the European region.
2. Keep using your preferred sales engagement tool while tracking all activities with Factors
3. Mix and match tools for different teams or regions without breaking your analytics.
4. Add or remove tools seamlessly, keeping your marketing and sales data intact.

The Data Story: When to Choose Factors vs ZoomInfo

ZoomInfo's Strength

1. It offers a huge database with over 200+ million business contacts.
2. Boasts a 90% accuracy rate, especially strong in North America.
3. A dedicated research team constantly updates data.
4. Ideal for finding decision-makers in target accounts.
5. Provides technographic and firmographic data.
6. Displays org charts and reporting relationships.
7. Tracks company news and updates.

Factors' Approach

1. It focuses less on contact data and more on understanding behavior.
2. Really good at identifying who's visiting your website and their engagement. 
3. Particularly strong in tech and SaaS industries.
4. Shows you the full journey of accounts that convert.
5. Tracks engagement across multiple channels, including:some text
   • Website visits and specific page views
   • Email opens and clicks
   • LinkedIn Ad impressions and clicks
   • Form submissions and downloads
   • Sales touches and meetings
   • Product usage signals
6. Connects this engagement data directly to revenue outcomes. 

Real-World Use Cases: When to Choose Factors vs ZoomInfo

When to Choose Factors

Factors is ideal for businesses facing complex attribution, marketing optimization challenges, or the need for tighter sales and marketing alignment.

1. Attribution Gets Complexsome text
   • You're running multi-channel ABM campaigns.
   • Multiple teams are involved in engaging each account.
   • Sales cycles are long and include many touchpoints.
   • You need to demonstrate how marketing contributes to revenue.
2. Marketing Spend Needs Justificationsome text
   • You're investing heavily in LinkedIn or other platforms.
   • Budget decisions need solid ROI data.
   • Marketing channels are competing for resources.
   • You need to optimize spend across regions or account segments.
3. Sales and Marketing Alignment is Crucialsome text
   • Teams require shared visibility into engagement data.
   • Marketing needs to prove its influence on deals.
   • Sales teams need insights into marketing interactions.
   • You want to coordinate outreach effectively across multiple channels.

When to Choose ZoomInfo

ZoomInfo is best for businesses focused on scaling sales outreach, enriching CRM data, or conducting high-volume contact discovery.

1. Contact Discovery is a Prioritysome text
   • Sales teams need to find the right people quickly.
   • You’re expanding into new markets and need reliable contact data.
   • Account research is a regular part of your workflow.
   • You require org charts and reporting relationships for decision-makers.
2. Data Enrichment is Essentialsome text
   • Your CRM data needs cleaning and updating.
   • You want to segment accounts by technographics or firmographics.
   • Keeping company information current is critical.
   • You need to track job changes and organizational shifts.
3. Sales Development at Scalesome text
   • Large SDR teams require dependable, accurate data.
   • You’re conducting high-volume outreach to thousands of prospects.
   • Territory planning depends on precise and up-to-date data.
   • Growth signals like funding rounds or hiring trends need tracking.

Pricing Comparison

Factors’ Pricing Approach

Factors offers a free plan to help businesses get started, which includes:

• Identification of up to 200 accounts monthly.
• 5,000 monthly visitor tracking.
• Basic attribution features.

For paid plans, pricing scales are based on:

• The number of accounts tracked.
• Traffic volume.
• Feature requirements.

Key advantages of Factors’ pricing:

• Monthly billing is available for flexibility.
• No hidden fees or surprise costs.
• Designed to work well for smaller budgets.

ZoomInfo's Pricing Model

ZoomInfo operates on a custom quote system. Pricing depends on several factors, including:

• Number of user licenses.
• Amount of contact credits needed.
• Access to specific features.
• Contract length (annual contracts required).
• Credit-based system for data exports.

Key points about ZoomInfo’s pricing:

• Typically more expensive, reflecting its focus on enterprise clients.
• Designed for larger budgets and high-scale sales operations.

Also, check ZoomInfo pricing and alternatives for more information. 

The Support Experience

Factors’ Support

Factors offers personalized and customer-focused support:

• Highly rated on G2 for customer satisfaction.
• Provides 24/7 chat support with quick response times.
• Dedicated Customer Success Manager (CSM) to build custom workflows.
• Ongoing training and regular check-ins.
• Assistance with setup, integration, and custom reports.

ZoomInfo’s Support

ZoomInfo provides a more formal, structured support process:

• Extensive training resources and larger support teams.
• Includes documentation, guides, video tutorials, and regular webinars.
• Primarily tailored for enterprise clients.

Integration Capabilities: How Factors and ZoomInfo Work with Your Stack

Factors Integrations

Factors seamlessly integrates with a wide range of platforms:

• CRM systems (e.g., Salesforce, HubSpot).
• Marketing automation platforms.
• Ad platforms (Google, LinkedIn, Facebook).
• Sales engagement tools.
• Custom applications via API access.
• Data warehouses and BI tools.
• Web analytics platforms.

ZoomInfo Integrations

ZoomInfo offers integrations but is more limited in scope:

• Native CRM integrations.
• Its own sales engagement platform.
• Chrome extension and email integration.
• Built-in dialer and mobile app.
• Marketing automation sync.
• API access is restricted to enterprise customers.

Bottom Line

Here's what it comes down to: if you're trying to understand your marketing performance, track revenue, and keep flexibility in your tech stack, Factors is probably your best bet. You'll get better insights into what's actually driving deals, especially if you're running complex, multi-channel campaigns.

If your focus is scaling sales outreach, finding decision-makers, and enriching contact data for large teams, ZoomInfo is the better choice. It delivers reliable, up-to-date contact information to support enterprise-level sales efforts.

Both tools solve different problems. Focus on your team’s priorities—marketing performance or sales enablement, and pick the one that fits your strategy.

Understanding Sales Intelligence Tools

Sales intelligence tools are now essential for sales teams. They change how businesses learn and connect with potential customers. These tools gather and analyze data to help salespeople make smart choices.

The sales intelligence market is booming, with predictions pointing to a whopping $9 billion by 2034. But it's not just about big numbers. This surge highlights a significant shift in how companies tackle sales. 

Sales intelligence tools collect data about prospects, companies, and market trends. They offer real-time insights into buyer behavior, company news, and industry changes. This helps sales teams find and focus on the best leads. For instance, Factors.ai's Account Intelligence provides insights into conversion rates and user journeys, enabling better decision-making.

By the end of 2025, sales intelligence will have grown with the help of artificial intelligence and machine learning. These tools now offer predictive analytics and smart lead scoring. They can study communication patterns, predict buying intentions, and suggest next steps for sales reps.

The true benefit is in removing guesswork from sales. Sales teams can base their decisions on solid data, leading to better conversion rates and quicker sales. This proactive approach is key to staying ahead in today's fast-paced market.

TL;DR

• Sales intelligence tools improve lead targeting, engagement, and decision-making.
• Different types serve various needs, from data enrichment to predictive analytics.
• Key selection factors include data accuracy, integrations, analytics, and usability.
• Implementation requires team training, data migration, and clear success metrics.
• Measuring ROI involves tracking lead quality, conversion rates, and sales cycle efficiency.
• Future-proofing ensures adaptability to emerging AI and compliance trends.
• Choosing the right tool means balancing features, costs, and vendor support.

Types of Sales Intelligence Solutions

At their heart, Sales Intelligence tools perform three key tasks: gathering crucial customer data, analyzing buying patterns, and dishing out actionable insights. Picture this: It's like having a crystal ball that tells you exactly when a prospect is ready to make a purchase. That's the magic of top-notch sales intelligence.

Modern sales tools come in different types, each meeting specific sales needs. Data enrichment tools fill in missing details about prospects and companies, saving time on research. They gather data from many sources to create complete customer profiles, similar to what Factors.ai's Workflow Automation offers.

Predictive analytics platforms use AI to predict future buying habits and find patterns in past data. These tools help sales teams focus on leads likely to convert, making resource use better.

Lead scoring tools rank prospects based on their chance to buy, considering factors like company size and recent actions. This helps sales teams target the best opportunities first, as seen in Factors.ai's Intent Capture.

Competitive intelligence tools track competitor moves, price changes, and market positions. This helps sales teams position their offers better and handle objections well.

Customer engagement tools track how prospects interact with your content, emails, and website. They give insights into buyer behavior and help tailor sales approaches for better outcomes.

Each type meets different needs, and many companies use a mix of these tools for a complete sales intelligence setup. And the perks? Sales teams using these tools report up to a 35% increase in close rates and much shorter sales cycles.

Key Features to Consider While Buying Sales Intelligence Tools in 2025

Choosing the right sales intelligence tool in 2025 is like picking out your dream car—there are some features you can't compromise on. First and foremost, start with data quality and coverage. Ensure the tool gives accurate, current information for your target markets and industries.

Next on the list is how well the tool integrates with what you're already using. Your sales intelligence tool should get along with your current tech setup, especially your CRM. Whether you're using Salesforce, HubSpot, or another system, smooth integration is a time-saver and helps avoid those pesky data silos. For example, our Integrations page outlines how Factors.ai connects seamlessly with popular CRM systems.

Next, look for strong analytics and reporting features. They should offer customizable dashboards and real-time insights to track sales performance, pipeline health, and team productivity.

The user interface is important. A simple, straightforward design helps your sales team use the tool quickly and often. Mobile access is essential—sales reps need data on the go.

AI and machine learning features make modern tools stand out. Seek out predictive lead scoring, automated data enrichment, and smart recommendations to improve decision-making.

Don't forget about compliance and security. With data privacy laws tightening up, it's crucial your tool comes equipped with built-in compliance features to keep everything above board.

The best features match your specific needs. Avoid being distracted by flashy features that don't support your main business goals.

Top Sales Intelligence Tools in 2025

A few standout tools are really making waves. Thanks to its massive B2B database and smart AI insights, ZoomInfo is still a big player. And if you're all about building professional connections, LinkedIn Sales Navigator is still your go-to.

Here are a few other stars worth mentioning:

• Factors.ai: The only Sales Intelligence platform that deeply connects LinkedIn advertising with Web Analytics, CRM, Marketing Automation, and other tools in the GTM stack. It’s the one sales intelligence tool you need to run connected campaigns across your entire GTM stack.
• 6sense: It's all about predictive analytics and nailing account-based marketing.
• Cognism: Gets a thumbs up for its GDPR-compliant data and the ability to verify mobile numbers.
• Apollo.io: It is loved for its all-in-one platform that mixes prospecting with engagement tools.

Prices can vary quite a bit:

• For basic tools, you’re looking at around $50-100 per user each month.
  
  
• Mid-range options bump up to $150-300 per user monthly.
  
  
• If you’re going for enterprise-level, expect custom pricing, often starting at $500 per user.
  
  

When it comes to user feedback, ZoomInfo (4.4/5), Apollo.io (4.8/5), and Cognism (4.6/5) consistently get high ratings. But remember, the best tool for you really depends on what your team needs, how big it is, and what your budget is.

Selection Framework For Choosing The Best Sales Intelligence Platform

Start by assessing your business needs—document specific problems, workflow issues, and growth goals that the tool should address. Consider team size, sales processes, and current technology.

Think about the budget beyond the initial cost. Include implementation, training, and customization expenses. Some vendors charge per user, while others base pricing on database size or features.

Scalability is essential for growing businesses. Ensure the tool can handle more data, users, and complex workflows without issues. Check if you can easily upgrade plans or add features.

Security and compliance are key. Verify the vendor's data protection measures, especially if you work in regulated industries. Look for SOC 2 compliance, GDPR adherence, and regular security checks.

For vendor evaluation, consider their reputation, financial stability, and customer support. Ask for references from similar companies in your industry. Review their product roadmap to ensure it aligns with your long-term needs.

Best Practices To Implement Sales Intelligence Tool

To successfully implement a sales intelligence tool, follow a strategic approach. Begin with thorough team training. Create training modules for each role and offer hands-on practice. Appoint power users to help their colleagues during the transition.

For data migration, plan how to move customer information without disrupting daily work. Clean and standardize data before migration to ensure accuracy in the new system.

Integrate the tool with your current tech setup. Work closely with your IT team and the vendor's support to connect it with your CRM, marketing tools, and other key platforms.

Set clear performance metrics from the start. Define success, whether it's less research time, higher conversion rates, or better lead quality. These benchmarks will help you measure the tool's impact.

Implement a change management plan to address resistance and ensure adoption. Regular check-ins, progress tracking, and celebrating early wins can help maintain momentum. Create feedback channels for team members to report issues or suggest improvements.

Measuring ROI For Your Sales Intelligence Tool

To measure the return on investment for your sales intelligence tool, use a clear approach focused on specific metrics. Track key performance indicators like reduced research time per lead, increased contact accuracy, and improved conversion rates.

Regularly compare the tool's total cost (including subscription, training, and maintenance) against revenue gains. Consider both direct benefits (increased sales) and indirect benefits (time saved, improved team efficiency).

Define success metrics that match your business goals:

• Improvement in lead quality
  
  
• Shorter sales cycle
  
  
• Growth in average deal size
  
  
• Number of new opportunities
  
  
• Response rates to outreach
  
  

For long-term value, watch trends over quarters and years. Consider:

• Changes in customer lifetime value
  
  
• Sales team retention
  
  
• Market penetration
  
  
• Database growth and quality
  
  
• Pipeline speed
  
  

Some benefits may take time to appear. Set realistic timeframes for different metrics and adjust expectations based on your industry's typical sales cycles.

The Checklist For Choosing The Best Sales Intelligence Tool

Staying ahead means choosing a sales intelligence tool that can adapt to future challenges. Consider these key aspects for long-term success:

Emerging Trends

• AI-driven predictive analytics become standard
  
  
• Integration of voice and natural language processing
  
  
• Real-time intent data capture
  
  
• Stronger privacy compliance features
  
  

Scalability Considerations

• Flexible user limits
  
  
• Expandable data storage
  
  
• API call capacity
  
  
• Potential for use across departments
  
  

Innovation Roadmap

• Vendor's product development schedule
  
  
• Upcoming feature releases
  
  
• Integration with new technologies
  
  
• Investment in research and development
  
  

Vendor Partnership Evaluation

• Financial health
  
  
• Position in the market
  
  
• A track record of customer success
  
  
• Adaptation to market changes
  
  
• Growth in support infrastructure
  
  

Choose vendors who commit to innovation while staying stable. Look for those with clear upgrade plans and a history of adapting to market changes. The right partner should be transparent about their development plans and willing to include customer feedback in their evolution.

Choosing the right sales intelligence tool needs a clear plan. Here's how to decide:

Comparison Checklist

• Check if the features meet your must-have needs.
  
  
• Compare pricing and total costs.
  
  
• Look at how well it works with your current tools.
  
  
• Check security and compliance.
  
  
• Evaluate vendor support quality.
  
  

Pilot Program Guidelines

• Try it for 30 days with a small team.
  
  
• Test key features in real situations.
  
  
• See if it meets your expectations.
  
  
• Get feedback from users.
  
  
• Note any technical issues and how long they take to fix.
  
  

Contract Negotiation Tips

• Lock in pricing for several years.
  
  
• Ensure free training and onboarding.
  
  
• Include performance guarantees.
  
  
• Set clear exit terms.
  
  
• Negotiate flexible user licenses.
  
  

Implementation Timeline

• Plan a phased rollout.
  
  
• Set achievable milestones.
  
  
• Allow extra time for surprises.
  
  
• Plan for data transfer.
  
  
• Schedule team training.
  
  

Remember, the best tool isn't always the priciest or most feature-packed – it's the one that fits your organization's needs and growth plans best. 

Conclusion and Next Steps

Choosing the right sales intelligence tool isn’t just about ticking off features or comparing price tags—it’s about giving your sales process a real boost. By 2025, with AI and machine learning getting even smarter, these tools aren’t just nice-to-haves—they’re must-haves if you want to stay ahead of the game.

So, how do you pick the perfect one? It’s all about finding a tool that fits your unique needs, meshes well with what you already use, and shows a clear return on investment. Whether you’re a startup just dipping your toes into lead generation or a big company needing deep market insights, there’s a tool out there just for you.

Here’s your action plan:

• Jot down the features you can’t live without.
  
  
• Set a budget that makes sense.
  
  
• Book demos with your top three picks.
  
  
• Gather feedback from your team.
  
  
• Kick things off with a pilot program.
  
  

The world of sales intelligence is always changing, but making a smart choice now sets your team up for success down the road. Take your time—find the tool that’s just right for your organization’s needs. For more insights on enhancing your sales strategies, explore Factors for B2B Sales and Intent-Based Outreach.

The key to attracting new customers and retaining existing ones is by providing a personalized experience. That is true in the case of B2C, as proven by many studies and surveys.

But what about B2B? Does offering personalized emails, sales calls, or website content make a positive impact?

Well, it seems it does! As Abe Aswathi, Principal – Customer & Marketing at Deloitte, points out in an article.

"Business customers are heavily influenced by their experiences as consumers. These consumers, many of whom are younger professionals, now seek the same experiences in their business interactions."

Now that we've established that personalization drives results for B2B buyers, let's explore how we can go about personalizing B2B marketing efforts with account identification.

In this article, we will be looking at

• What are visitor identification tools?
• Are visitor identification tools the same as visitor tracking software?
• 11 visitor identification tools that can help you understand your users better.

What Are Visitor Identification Tools?

Visitor identification tools help businesses identify anonymous companies visiting a website — without the need for form submissions. These tools use advanced IP-tracking technology to associate IPs with their respective companies. Additionally, the tools can track website behavior and journey through the sales cycle and provide insight into how they engage with web content.

Sales and marketing teams can leverage this information to create personalized emails, web content, and more to engage with key decision-makers in the identified companies. Doing so results in higher engagement rates, conversions, and customer satisfaction.

11 Visitor Identification Tools to Understand Your Visitors Better

Our list is based on extensive market research. We shed some light on what the tools do, their key features and the integrations they offer. In addition, we also show some critical user reviews and pricing of these tools.

1. Factors

Factors is an AI-powered account identification and analytics software that helps teams discover, qualify, and convert anonymous companies visiting their website.

The tool’s marketing analytics and attribution platform enables sales and marketing teams, irrespective of size, to analyze, attribute and optimize their efforts and drive revenue to new heights.

Factors also tracks account-level website behavior and progress through the buyer’s journey. Right from the initial visit, helping inbound marketing teams get a clear picture of the campaigns that are driving engagement and bringing in qualified leads. 

Content teams also benefit from this tool as they can easily measure prospects' engagement with website content and discover what is bringing in MQLs.

Product marketing teams are able to narrow down and plan their marketing strategy based on the vast information Factors provided.

Features

1. ACCOUNT IDENTIFICATION: Factors account identification capability powered by 6Sense enables businesses to identify anonymous website traffic, analyze website engagement, and target high-intent accounts with ease. Factors delivers the highest match rates in the industry, revealing up to 64% of companies visiting your website.

2. MULTI-TOUCH ATTRIBUTION: Factors’ account identification technology, combined with integrations with CRM and MAP, allows marketers to map the complete customer journey at an account level. It allows users to draw data-driven conclusions by comparing various attribution models, win rates, and deal sizes side by side. 

3. UNIFIED ACCOUNT ANALYTICS: Factors offers a wide range of complementary features such as end-to-end marketing analytics, user and account journey mapping, path analysis, and more. All these features help sales and marketing teams measure and analyze their efforts while gaining insights into website traffic. Based on this information, they can optimize their effort to improve conversion rates.

4. AI-POWERED FEATURE “EXPLAIN”: 'Explain' empowers marketers with automated insights and root cause analysis on any conversion goal so they can understand what's working and not working. 

Integrations

Factors seamlessly integrates with the following list of tools and softwares.

• Hubspot
• Facebook Ads
• LinkedIn
• Google Ads
• Salesforce
• Segment
• Bing Ads
• Rudderstack
• Marketo
• 6Sense
• Clearbit
• Leadsquared

Reviews

Pricing

Factors offers three services, each with its own pricing:

Deanonymization: Where you can identify anonymous companies that are visiting your website, analyze user behavior, and generate high-intent leads. Pricing starts at

• Starter – $99/Month.
• Professional – $149/Month.
• Growth – $499/Month.
• Enterprise – Contact for quote.

Analytics & Attribution: This offers website analytics, events and form tracking, multi-touch attribution, and more. The pricing for this is as follows:

• Starter – $399/Month.
• Growth – $799/Month.
• Custom and Agency – Contact for quote.

Professional Services: Get expert analytics, consulting, and technical support that is tailor-made for your B2B marketing team. 

• Tier 1 – $500 for 10 hrs/Month.
• Tier 2 – $900 for 20 hrs/Month.
• Tier 3 – $1200 for 30hrs/Month.

2. Clearbit

Clearbit is a B2B data activation platform that provides data enrichment and market intelligence. It helps B2B teams enrich their existing CRM data and helps them understand their customers better, identify prospects, & personalize interactions with real-time intelligence.

Features

1. ENRICHMENT: Clearbit has a database with over 250 data sources having millions of data points. Users can use the data to update their existing CRM records and also identify new leads.

2. REVEAL: Reveal is the de-anonymization platform of Clearbit. It helps businesses identify companies visiting their website. Sales and marketing teams can then target high-intent accounts with personalized emails, ad campaigns, and sales calls to increase conversion rates.

3. CAPTURE: Clearbit automatically adds the contact information of key decision-makers from best-fit accounts directly into the integrated CRM. 

Integrations

Some of Clearbit’s popular integrations are:

• Salesforce
• Segment
• Marketo
• Slack

Reviews

Pricing

Clearbit does not provide any information about their pricing.

3. Leadfeeder

Leadfeeder is a well-known website visitor tracking software that helps B2B businesses find companies visiting their website. Additionally, Leadfeeder also helps sales teams qualify and connect with key decision-makers in the companies.  

Features

1. QUALIFY HIGH POTENTIAL LEADS: Based on web activity, Leadfeeder allots a score for each visitor account. Sales and marketing teams can use this to identify best-fit companies to align their efforts.

2. LEADFEEDER CONTACTS: With this feature, sales teams are able to determine the best person to connect with in a qualified company. After identifying leads, teams can focus their efforts on converting them into paying customers.

3. AUTOMATIC CRM SYNC: Leadfeeder integrates with many popular CRM and MAP tools available in the market. The tool syncs visitor data with your CRM to keep your MarTech stack up-to-date.

Integrations

Some of Leadfeeder’s popular integrations are:

• Salesforce
• Pipedrive
• Zapier
• Slack

Reviews

Pricing

Leadfeeder has two plans.

• Lite – Free.
• Premium – Starting at €139/Month.

4. Lead Forensics

Lead Forensics is another well-known website visitor identification software. The tool can help B2B businesses uncover information about anonymous website visitors. Additionally, Lead Forensics also helps sales and marketing teams discover high-intent leads and get detailed insights into the prospects’ web behavior.

Features

1. VISITOR IDENTIFICATION: Lead Forensics claims to have the world’s largest, wholly-owned B2B-matched IP address database with over 1.4 bn records. The tool uses this information to process and discover website visitor accounts in real-time.

2. DEEP VISITOR INSIGHT: The tool tracks web activity at an account level as well as user-level, showing how many times they visited the website, which pages they viewed, how much time they spent, and more. Sales and marketing teams can use this information to further personalize and optimize their efforts.

3. MOBILE APP: Lead Forensics has a mobile app that keeps users updated on the website activity of high-intent visitors on the go.

Integrations

Some of the popular integrations are:

• Salesforce
• Mailchimp
• Square
• Zoho

Reviews

Pricing

Lead Forensics offers two plans, get in touch with them to get a price quote.

5. VisitorQueue

Visitor Queue is another popular tool that helps identify website visitors in real-time. Additionally, the tool also helps businesses customize their website to personalize the experience for their website visitors.

Features

1. USER-FIRST DESIGN: The platform is designed with the user in mind, it features a simple and intuitive design making it easy for sales and marketing teams to use Visitor Queue.

2. WEBSITE PERSONALIZATION: This is currently an invite-only feature, but Visitor Queue allows businesses to tailor their website to provide a personalized experience for their visitors.

3. LEAD INTELLIGENCE: The tool provides a wide range of data and insights on leads, such as web activity and contact information. With this information, marketing and sales teams can streamline their efforts.

Integrations

Some of the available integrations are:

• Salesforce
• Slack
• Zapier
• HubSpot

Reviews

Pricing

VisitorQueue has five paid plans based on the number of unique monthly companies visiting your website.

• For 100 Unique companies/Month – $49/Month.
• For 300 Unique companies/Month – $99/Month.
• For 500 Unique companies/Month – $199/Month.
• For 1000 Unique companies/Month – $209/Month.
• For 2000 Unique companies/Month – $309/Month.

6. Albacross

Albacross is a visitor identification tool that deanonymizes B2B website visitors. The tool uses first-party intent data to provide insights on high-quality leads. Sales and marketing teams can tailor and optimize their efforts based on the information to get better results.

Features

1. ANALYTICS ENRICHMENT: Albacross’s analytics platform helps marketing teams track and measure KPI metrics. The platform also enables teams to prove their efforts with accurate revenue attribution.

2. PERSONALIZATION ENRICHMENT: Albacross helps businesses tailor web content, email, ad campaigns, and more to provide a personalized experience to visitor accounts. 

3. DEEP INSIGHTS: By tracking account and user engagement, Albacross can provide insights such as the pages they frequent, the amount of time they spend on each page and website, the channels and campaigns driving engagement, etc. With these insights, marketing teams can optimize their strategy to increase conversion rates and drive the acquisition of qualified leads.

Integrations

Some of the available integrations are:

• Slack
• Pipedrive
• Google Analytics
• HubSpot

Reviews

Pricing

Contact Albacross to know more about the pricing of their product.

7. Leadinfo

Leadinfo helps businesses by transforming anonymous website visitors into leads. The tool helps business teams to observe and respond to leads in real-time, this means businesses are able to capitalize as soon as an opportunity presents itself.

Features

1. LEAD CAPTURE FORMS: Sales and marketing teams can use visitor information to create personalized lead gen forms in Leadinfo. By creating data-backed personalization, website visitors are more likely to respond positively and turn into leads.  

2. TRACK BROWSING ACTIVITY: Leadinfo also tracks visitors' journeys through the website. Sales and marketing teams can use this information and determine visitors' intent and qualify them.

3. INTUITIVE LAYOUT: Leadinfo’s inbox-type layout provides an intuitive view of every website visitor in the same way you view your email. It makes it easier for teams to get accustomed to the tool.

Integrations

Some of Leadinfo’s available integrations are:

• Asana
• HubSpot
• Zoho
• Slack

Reviews

Pricing

Leadinfo’s pricing model is based on the number of monthly unique visitors to your website. You can input this data into their pricing page and see what it would cost you.

8. Happierleads

Happierleads helps identify B2B website visitors and helps businesses generate leads. This tool empowers sales and marketing teams to identify anonymous visitors, segment leads, and retarget high-intent visitors with effective marketing campaigns.

Features

1. PROSPECTOR: This feature helps businesses identify prospects in the company that matches their ICP criteria. Its database holds details such as direct-dial phone numbers, up-to-date business emails, job titles, and more for over 60M businesses.

2. SEGMENT & QUALIFY: Sales and marketing teams can segment accounts and leads according to their ICP with the various behavioral and demographic filters. Once segmented, Happierleads allots a score to each account based on website activity, making it easier for teams to identify the best fit, high-intent accounts.

3. EMAIL OUTREACH: Happierleads has an internal email campaigning and outreach tool. Sales and marketing teams can work on prospecting and outreach without having to export their data elsewhere.

Integrations

Happierleads integrates with

• Zapier
• HubSpot
• Fullstory

Reviews

Pricing

Happierleads have a unique pricing page. Input your requirements to get a custom quote.

9. Leadlander

LeadLander is a website visitor identification software that enables sales and marketing teams to generate leads and monitor web analytics. This tool has a  vast database of contacts of key decision-makers from over 60 million companies worldwide that businesses can use to prospect and outreach to their visitors.

Features

1. INTUITIVE DASHBOARD: LeadLander provides an overview of all the accounts and users visiting the website in a single dashboard. With information readily available, sales and marketing teams can make better decisions.
2. VISITOR IDENTIFICATION: LeadLander is able to deanonymize website visitors in real-time. The tool uncovers visitors' journey through the website and reveals the visitors' company details like the website, physical address, and phone number.
3. EMAIL NOTIFICATIONS: LeadLander notifies its users via email when high-intent companies visit their websites. LeadLander also sends daily and weekly summaries of website visitors and their activity.

Integrations

LeadLander uses Zapier to integrate with other software.

Reviews

Pricing

You have to get in touch with the company to know more about its pricing.

10. KickFire (a Foundry company)

KickFire is a B2B sales and marketing intelligence platform acquired by Foundry in 2021. The platform also identifies and tracks user and account behavior. Sales and marketing teams can use this information to understand their audience better and improve their efforts.

Features

1. INTENT DATA: Foundry Intent combines the intent of website visitors and accounts from multiple sources to showcase meaningful buyer behavior. Business teams can use this data to create prospecting and outreach campaigns with confidence.  

2. LEAD NURTURING: Selling Simplified is Foundry’s product suite designed to identify, nurture and qualify sales reading leads. Sales teams are able to identify the purchase intent of target users and accounts at an early stage, allowing them to focus their efforts.

3. ACCOUNT-BASED MARKETING: Triblio is Foundry’s ABM platform designed to help businesses scale their ABM capabilities. This proprietary platform identifies accounts showing high-intent accounts based on their monthly interactions.

Integrations

Some of the available integrations are: 

• HubSpot
• Salesforce
• ConnectWise
• MS Dynamics

Reviews

Pricing

Kickfire, now a part of Foundry, does not have an open pricing policy. So you'll have to get in touch with them over a demo to receive a quote.

11. LeadMagic

LeadMagic is a lead generation and visitor identification platform that helps businesses deanonymize visitors to their websites. It uses AI algorithms to analyze visitor behavior and provide insights on how to best engage with your visitors.

Features

1. VISITOR IDENTIFICATION: LeadMagic can identify high-value accounts visiting a website. The tool sends messages on slack to keep sales and marketing teams updated.

2. LEAD SCORING AND PRIORITIZATION: Based on the engagement level, LeadMagic can score and prioritize leads. This ensures that your sales and marketing focus their efforts on the most valuable leads.

3. LEAD NURTURING AND AUTOMATED WORKFLOWS: With LeadMagic, you can create and automate lead nurturing campaigns to build meaningful and engaging relationships with your prospects and easily move them through the sales funnel.

Integrations

Leadmagic integrates with:

• Slack
• Zapier
• Segment
• Google Analytics

Reviews

Pricing

LeadMagic has three premium plans for its visitor identification tool.

• LeadMagic Solopreneur – $79/Month.
• LeadMagic Basic Plan – $249/Month.
• LeadMagic Pro Plan – $499/Month.

Which Visitor Tracking Software Should You Choose?

The right tool for you depends on your use case and the scenario. Each tool in this list has its own unique features, capabilities, and limitations.

But if you are looking to uncover account-level information about your website visitors, then a tool with deanonymization capabilities is a must. That said, you should also look for easy setup, user-friendliness, and integration with the existing MarTech stack.

In addition to the above, customizability is a huge necessity. Being able to customize your reports and dashboards ensures that you get to track metrics that matter. It goes without saying, but a great tool with a poor support team is just money down the drain.

Know Your Visitors Better With Factors

Now that you know what to look out for in a visitor identification tool. Let us show you how Factors.ai can help elevate your marketing efforts with AI-powered analytics & attribution. 

Factors ensure that you can easily decode visitor journeys at the user and account levels. This, coupled with the powerful attribution and marketing analytics features, helps you make decisions faster.

Throw intuition out the window and optimize marketing efforts with data-driven insights, and drive revenue to new heights. With the complete flexibility of customizing your reports and dashboards, you can track and monitor KPI metrics that are important to your business.

Factors acts as an extension of your marketing team, so you get unmatched support. A dedicated team of customer success managers is ready to support your team at any time.

With Factors, the entire onboarding lasts no longer than 30-mins. Lastly, our transparent pricing policy ensures that you pay for what you need and you get what you pay for.

FAQs

1. How can I track anonymous website visitors?

To track anonymous website visitors, you can use visitor identification software. Tools such as Factors.ai, Albacross, and Visitor Queue work by collecting data on your website visitors in compliance with Data Protection Laws. You can get information about their location, browsing behavior, the company they are from, and much more.

2. Can a website owner see my IP address?

Yes, the owner of a website or server administrator can see the IP address of every visitor. However, it is worth noting that IP addresses are not always directly linked to you. Your ISP may use a dynamic IP address, an address that keeps changing periodically.

3. Which two technologies do websites use to track visitors?

Websites commonly use Cookies and Web Beacons or Tracking Pixels.

Cookies are text files that are stored locally on a website visitor's device. The server receives cookies when visitors revisit the website. This allows the website to recognize them and track their behavior.

A web beacon is a small, transparent image (one square pixel in size) that is embedded in a website's code. When a user visits a website, the beacon tracks the user’s IP address, time spent on the site, pages they visit, browser information, and more.

Why did Linkedin acquire Oribi?

On March 31st 2022, Linkedin announced its acquisition of Oribi — an Israel-based marketing analytics company, for over $80 million. Oribi was a marketing analytics platform that offers seamless integration and automated event tracking for your website without the need for coding. They provide a user-friendly platform that combines several conversion rate optimization (CRO) features, including customer journey funnels and event correlations, making it easy for users to access and utilize these tools. 

 An agreement was reached with Oribi CEO, Iris Shoor, after several conversations about product and value alignment. Linkedin’s purchase of Oribi is part of a larger strategy to expand features across Linkedin Marketing Services (LMS). LMS includes a range of strategies, techniques and tools used to promote advertisements, profiles and other businesses on LinkedIn. This helps advertising firms and recruiters to get actionable insights into their posts and advertisements. 

With this acquisition LinkedIn aims to position itself strongly in the advertising and marketing analytics domain. With a 43% growth in the marketing service revenue on yearly basis, LinkedIn wants to grab on to the momentum of the growth trajectory of the marketing revenue. It aims to provide its users with keen insights with more data analytics and attribution in order to stronghold itself as a competitor to Google Ads services. 

But what are the implications of this acquisition? and how does this affect former-Oribi customers? Let’s find out.

“Understanding which channels and messages have the greatest impact on the decision to take a desired step, such as a buyer requesting a product demo or a job seeker applying to a job posting, is critical to the effectiveness of any marketing campaign. Through the integration of Oribi’s technology into our marketing solutions platform, our customers will benefit from enhanced campaign attribution to optimize the ROI of their advertising strategies” - Tomer Cohen, CPO, LinkedIn

How will Linkedin use Oribi’s technology? 

As previously mentioned, Linkedin acquired Oribi with the intention of expanding its LMS portfolio with industry-leading marketing and web analytics software. In particular, Linkedin was expected to employ Oribi to improve LMS insights tag implementation, drive audience insights for retargeting and CRO, and create customer journey funnels for Linkedin campaigns. Campaign attribution and ROI reporting are other Oribi use-cases Linkedin seeks to leverage for LMS.

As part of the agreement, Linkedin  opened its very first office in Tel Aviv. The majority of the Oribi team has already joined Linkedin’s LMS division as well.  LinkedIn’s action also came with a series of layoffs. According to some reports, 17 Oribi employees working in customer facing verticals(sales, marketing etc) were fired post acquisition.

“Oribi’s team brings deep analytics expertise that will help us accelerate the capabilities of our attribution technology across our lines of business – from helping a marketer find better leads to a recruiter identifying the right candidates. The acquisition will expand our international presence so we can continue delivering products that meet the evolving needs of our global customers and members.” - Tomer Cohen, CPO, LinkedIn

What does Linkedin’s acquisition of Oribi mean for customer data?

A couple of things. First, any data captured following Oribi’s integration remains in the control of customers and adheres to all commitments set by Linkedin’s standard ads agreement. This means that LinkedIn will not use, edit or tarnish the data already captured by Oribi for its existing users. Second, Linkedin will not be combining legacy personal data between Oribi and Linkedin. This means that the data captured by Oribi prior to the acquisition will not be used by LinkedIn in any way, therefore, the existing customers data will not be scrutinized by LinkedIn post integration.

Finally, there are no plans for Linkedin to alter the data it currently collects from users — simply to enhance existing data using Oribi’s technology. This implies that LinkedIn will not change or update its data collection policy from its users post integration with Oribi. Therefore, LinkedIn users should not be worried about collection of additional data points to enhance Oribi’s functionality. 

What does Linkedin’s acquisition of Oribi mean for former Oribi users?

According to several reports, Oribi shut down services and canceled customer contracts just weeks after the agreement was reached. Based on conversations with former Oribi-users, its revealed that Oribi has offered its customers a couple of options: 

1. Try out Oribi/LMS’s early-stage pilot program 
2. Switch to an alternate marketing/web analytics solution

The problem with the first option is that as a result of Linkedin’s acquisition, the pilot program is heavily limited. Integrations with third-party ad platforms like Google and Facebook look likely to be restricted as well. Therefore, the customers will not be able to get the ultimate benefit of marketing analytics, and integration features post acquisition. Accordingly, option 2 is the popular choice. Especially since historical data will not be preserved, now seems to be the best time to switch to an alternative solution for Oribi.

‍Best Oribi Alternatives in 2023

Since the acquisition of Oribi by LinkedIn, significant changes have taken place. Although it was anticipated that LinkedIn would leverage Oribi's capabilities to improve its marketing analytics, many users believe that the acquisition did not turn out to be favorable for Oribi.

Many users were not happy with acquisition, as they anticipated a large number of Oribi features to be eliminated post acquisition. Therefore, many Oribi customers are out scouting for viable alternatives for their needs.

There are a host of platforms to consider for replacing Oribi including Factors, Heap (which is a powerful solution, but suited more for product analytics), Wicked Reports, and Plausible. 

Let's compare some of the top alternatives to Oribi and see how they fare in terms of their features (pros and cons), pricing, integrations and user reviews.

1. Factors.ai

Fcators.ai is a marketing analytics tool which specializes in multi touch attribution with a focus on account based analytics and visitor identification.

Oribi does not offer the concept of dashboarding, making it difficult to group and visualize reports efficiently. Factors provides customizable dashboards where all reports are conveniently organized and displayed, simplifying the process of data grouping and visualization. It allows users to consolidate essential data in a single location, enabling easy tracking, analysis, and generation of insights to optimize marketing campaigns effectively.

Factors offers account-based analytics which includes campaign analytics, website analytics, and funnel analytics.  With Factors, marketers can enhance their understanding and optimization of website conversions with automated tracking of buttons, detailed page analytics, access to unsampled data, and the ability to track custom domains. Factors provides end-to-end journey analysis with Funnels, letting the user add as many filters as they like to easily customize their data and dashboards.

What’s more is that Factors consolidates various metrics such as CPC, CTR, ROI, impressions, and more at different levels like channels, campaigns, ad groups, and keywords, enabling more detailed data-driven marketing strategies, this was not possible in Oribi.

Moreover, Oribi has limited integration with HubSpot, only allowing the push of web data into the CRM. In contrast, Factors integrates with both HubSpot and SalesForce, enabling the connection of campaign and web data with contact data, offline events, and revenue metrics from the CRM. This integration empowers comprehensive analysis and attribution throughout the customer journey.

Factors can be set up within 30 minutes and offers no-code integrations with ad platforms, CRMs, MAPs, and CDPs.

Both Oribi and Factors deliver intuitive web analytics, CRO, attribution, and funnels. On top of this, Factors also provides end-to-end customer journey mapping across campaigns, web, & CRMs. You can learn more about how Factors compares against Oribi here. 

PROS:

• Unlike Oribi which only provided website attribution, Factors provide attribution at every relevant touchpoint from ads and website interaction to offline interaction using CRM integration. With customizable reports across channels, campaigns, and keywords, Factors can be moulded to any need which the user might have.
• Factors has an impeccable 64% visitor identification rate which is the highest in this category.. Along With its robust visitor identification feature complemented by multi-touch attribution, you can perform various attributions including offline touchpoints to identify the various sources from where visitors come to your website.
• Factors is now the official Marketing Partner of LinkedIn. With this collaboration, the users can get complete information about who is viewing Linkedin ads, clicking on them, and how this leads to conversions. With this partnership, users can optimize their campaigns with AI driven insights for all of their marketing efforts..

CONS:

• Factors cannot automatically send data back into Hubspot or Google Analytics like Oribi. Therefore, it may not be a good fit for you if you are looking for data orchestration rather than analytics.
• Factors does not support integration with ActiveCampaign, Mailchimp, and Klaviyo. Therefore, the user may miss out on the use cases relevant to these integrations

Integrations:

• Google Search Console
• Google Ads
• Facebook Ads
• LinkedIn Ads
• Hubspot 
• Salesforce
• Clearbit
• Segment

Pricing:

Factors offers a free 14 day trial with no credit card requirement. Visitor Identification and Website Analytics plans start at 99/month, while it has a separate pricing plan for Multi-Touch Attribution starting at $399/month.

Reviews:

2.  Plausible Analytics

Plausible Analytics is a  cookieless web analytics tool designed specifically for a wide range of businesses including small and medium-sized enterprises (SMEs), startups, content creators, bloggers, and e-commerce websites.. As an open-source tool, Plausible offers a transparent and customizable solution that empowers businesses to track website performance without compromising user privacy. It offers intuitive data analytics with traffic segmentation, shareable dashboard and real time notifications. Plausible aims to provide simple web analytics at a glance without any complex layering of data with menus, and complex reports. Instead of tracking every imaginable metric, Plausible focuses only on relevant and most important data points.  Like Oribi, Plausible provides intuitive data analytics features which are compressed in a 1KB script.

Plausible’s script size is smaller than 1KB, ensuring that website loading time is reduced. With a script size which is 45 times smaller than Google analytics, plausible occupies less space and gets easily installed.

PROS:

• One of the standout features of Plausible Analytics is its incredibly lightweight script, clocking in at less than 1KB. This means that implementing the tool won't slow down your website's loading time, ensuring a seamless user experience for your visitors. 
•  Plausible complies with GDPR, CCPA, and PECR.. It offers real time slack and email updates which are customizable based on the user’s needs.

CONS:

• Plausible does not provide multi touch attribution but only last click attribution. This leaves you unsure of where the leads actually come from. 
• Since Plausible Analytics does not collect or store personally identifiable information (PII) and avoids the use of cookies, it means they do not retain historical data beyond a 30-day period. This could pose a challenge if your tasks involve long-term data analysis or trend tracking, as the limited data retention may affect your ability to derive insights and perform comprehensive analysis

Integrations

• Bubble.io
• Carrd
• Hubspot
• Google Data Studio
• Google Search Console
• Notion
• Wordpress

Pricing

The tool provides a free trial, and the paid plans start from just $9 per month for 10K visitors. Furthermore, users can get a 2-month free subscription if they pay annually.

Reviews

3. Heap

Heap is an analytics tool that automatically captures, tracks, and visualizes visitor engagement with the website to provide actionable insights. Heap collects data and collates it into easy to read graphs and funnels.Heap focuses on enhancing customer engagement and tracking their activity throughout their journey with a brand. Heap offers a diverse array of capabilities, like automatic event tracking, retroactive data capture, and real-time reporting. It empowers businesses to segment their data based on users, sessions, and events, simplifying the process of identifying trends and patterns within the data.  For Oribi users, Heap could be a good fit since it provides customers with funnels, real time reporting, and a host of data visualization features. 

PROS:

• Heap offrs intuitive and customizable  dashboards to coordinate important metrics for the business and help drive insight driven actions. It allows businesses to segment their data by users, sessions, and events, making it easier to identify trends and patterns.  
• Heap provides user segmentation, which helps categorize users based on their characteristics and behavior. This feature allows businesses to track users retroactively, gaining insights into their past interactions and activities. With user segmentation, companies can better understand their audience and tailor their strategies to meet specific user needs.
• With the user timeline feature, Heap enables marketers to see detailed user level data as to how each user interacts with the website/app. The timeline of this activity can be adjusted from the last 7 days to the date the user first interacted with the website/app. 

CONS:

• Heap occupies a large amount of space due to its many features and comprehensive data storage features.. When you have a lot of data stored, it becomes more challenging to calculate the costs associated with data privacy and protection, storage and archiving, and regularly backing up the data. The complexity increases as the amount of data grows, making it important to carefully manage and allocate resources to ensure data security and accessibility.
• Heap only focuses on the website traffic, user activity on the particular site and conversions. It does not factor in the role of paid ads, organic reach on search engines and other touchpoints. Here is where a tool like Factors comes into play as it gives you a complete and in depth overview of the data attribution and visitor identification across multiple touchpoints.

Integrations:

• Shopify
• FullStory
• Clearbit
• RedShift
• Eloqua
• Hubspot
• Salesforce

Pricing 

The tool provides a free trial and a free package for up to 10K monthly sessions. The growth package is priced at $3600/YEAR for 3OOk sessions per year.

Reviews

4. Wicked Reports

Wicked Reports is a marketing attribution platform with a wide assortment of campaign analytics features. Some of its unique features include the ability to include/exclude subscription revenue, distinguish new sales from recurring sales revenue, and new leads from re opt-ins. 

Attribution in Wicked Reports is its standout feature, primarily used for generating ROI reports. Users can pick from various attribution models provided by this platform like, linear attribution, last click, first click attribution, full impact attribution etc. Wicked Reports also generates insights into customer lifetime value and cohort analysis.

Pro:

• Wicked Reports offers cohort analysis capabilities, allowing you to analyze the behavior and performance of specific groups of customers over time. The platform helps in the visual representation of the monetary value and ROI of the customer, illustrating their profitability and financial performance over time..

CONS:

• Wicked Reports cannot be used to visualize customer funnel journeys. This means that marketers will not be able to locate where leads are lost.   Customizing and visualizing of funnels is possible with tools like Factors.ai.
• Wicked Reports primarily focuses on marketing attribution rather than web-level attribution. It specializes in attributing marketing efforts to revenue and ROI, helping marketers understand the impact of their various marketing channels and campaigns. However, when it comes to granular web-level attribution, such as tracking specific user actions on a website, Wicked Reports may not provide extensive capabilities in that area

Integration

• Hubspot
• Mail Chimps
• Shopify
• Google Ads
• Facebook Ads
• Snapchat
• Paypal

Pricing

Reviews

In conclusion…

LinkedIn’s acquisition of Oribi came at a crucial time for the marketing analytics and attribution space. With a keen focus on positioning itself as a strong rival to Google Ads services, LinkedIn aims to utilize the marketing analytics and attribution features offered by Oribi. LinkedIn wants to focus on  its campaign manager which has now become more and more relevant to analyze marketing campaigns.

That said, Oribi can definitely improve its interface and analytics capabilities especially with the continued support of Microsoft. With the acquisition now completed, LinkedIn now has in its coffers a host of features to drive its marketing analysis and attribution arm. As a result, LinkedIn will now be able to offer recruiters and advertisers complete analytics of their ads and posts fueled by AI-driven insights.

Now, more than ever, marketers feel the need and importance of monitoring their efforts and making data-driven decisions to ensure they’re getting the most bang for their buck. The role of marketing analytics will only become increasingly important as even conventionally offline events like seminars and conferences turn digital.

Although the acquisition proved fruitful for LinkedIn and its marketing analytics tool, existing customers did not like it as much. Post acquisition, Oribi shut down its customer-facing vertical, culling out numerous features and also fired customer-facing employees.The existing employees of Oribi especially the sales and marketing vertical had to bear the brunt. Additionally, the existing customers had to venture out in search of alternatives to replace Oribi, which resulted in additional costs, and wastage of time.

The search for an Oribi alternative ends here with Factors. Factors has proven to be a highly effective marketing analytics and attribution platform for B2B marketers. Try it for free or schedule a personalized demo to witness its impact on your campaigns and website conversions today! 

FAQ:

• Why did LinkedIn acquire Oribi?

With Oribi’s acquisition, LinkedIn was looking forward to optimizing its marketing and advertising service. LinkedIn aimed to solidify its global presence by providing marketers and recruiters a keen insight into their campaigns. According to Tim Cohen (Chief Product Officer at LinkedIn), marketing services grew about 43% on a yearly basis, with Oribi in its coffers, LinkedIn aims to drive this growth potential and position itself as a reliable source of advertising and marketing services.

Furthermore, LinkedIn aims to position itself as a firm competitor against Google's ads and marketing service. 

• What are the best Oribi alternatives?

Some of the best Oribi alternatives for 2023 are Factors.ai, Heap, Plausible Analytics,and Wicked Reports. Some other platforms to look out for are Mixpanel, Amplitude and Fullstory. Oribi carved out a strong position in this market due to its no code and easy to use market attribution feature which housed loads of CRO features. One should look out for relevant attribution services with an easy to use interface in order to match the experience of Oribi.

In the B2B industry, measuring and optimizing the impact of marketing efforts on revenue is quite challenging. This is because of lengthy, non-linear sales cycles involving several stakeholders and touchpoints.

Many multi-touch attribution tools are available in the market that help marketers and sales teams alike to solve this challenging task. Each of these tools have their own unique features and approach to attribution.

In this blog, we compare two such attribution tools - Bizible and Dreamdata and evaluate the features and pricing of both tools and help you select the right one for your business. 

TL;DR:

• Adobe Marketo Measure, formerly known as Bizible, is an enterprise-grade platform, while Dreamdata is more suited for small to mid-sized companies.
• Dreamdata and Bizible are both B2B attribution and analytics platforms that empower their users with multi-touch attribution, predictive analytics, and content analytics.
• Dreamdata integrates with more softwares and tools compared to Bizible.
• According to user reviews from G2 and Capterra, Dreamdata ranks higher than Bizible when it comes to

• Ease of use
• Customer support

• Bizible is better than Dreamdata in terms of 

• Custom attribution model
• Compliance

• When it comes to pricing Bizible is priced higher and requires additional spending for implementation and configuration.
• In the case of Dreamdata, small to mid-sized B2B companies can use the free version, while companies that require advanced revenue attribution can settle for a paid version that costs $999/month.

About Dreamdata

Dreamdata is a B2B revenue attribution platform that helps businesses connect data across their GTM martech stack and gain insights into their customers’ journey.

Additionally, the tool enables businesses to run custom account-based attribution models to track, measure, benchmark, and predict revenue of various channels in the buyer’s journey.

Dreamdata also maps every touchpoint in the customer journey. As a result, it helps users visualize customer journeys at an account level. According to G2, Dreamdata is the best fit for small to mid-market-sized businesses.

About Bizible [Now Marketo Measure]

Adobe Marketo Measure, formerly known as Bizible, is an enterprise-grade B2B attribution platform. The platform helps visualize the complete customer journey from the first touchpoint to the last.

This helps sales and marketing teams drive ROI and improve campaign influence on the pipeline.

Since Bizible was primarily built for Salesforce and Microsoft Dynamics, it offers a relatively seamless integration experience with the two platforms.

Dreamdata vs. Bizible: Common Features

Here, we identify and discuss the common features between Dreamdata and Bizible and explore how businesses can benefit from them. 

Attribution models

Attribution is one of the core features both tools provide. 

Both tools can track and identify touchpoints across different channels (online and offline). In addition, they both support a range of attribution models to attribute revenue to influential channels. When compared with each other

Bizible offers 6 attribution models.

• First Touch
• Lead Creation (Last Touch)
• U-Shaped
• W-Shaped
• Full Path (Linear)
• Custom Attribution Model
  

Dreamdata offers 8 attribution models

• First Touch
• First Touch Non-Direct
• Last Touch
• Linear
• Linear Non Direct
• U-Shaped
• W-Shaped
• Custom Attribution Model
  

Content analytics

Content marketing is a great way of engaging with B2B audiences. With content analytics businesses are able to tie content efforts to revenue and pipeline.

Bizible and Dreamdata provide valuable insights into content strategies. Content teams can use these insights to understand the performance of their efforts and optimize them to drive more MQLs. 

When compared with each other, we find that Dreamdata’s content analytics feature helps users 

• Measure the success of their content based on revenue and pipeline.
• Understand the topics and types of content that influence accounts the most at various stages of the pipeline.
• Identify the source driving the traffic to the content, whether it’s social, organic or paid.

With Bizible, marketers can

• Combine various reports to  better understand what's driving engagement and conversions. Eg. A content based report can be combined with a MQL report to find what content is influencing MQL.
• Apply various attribution models to content pieces to identify how various sources have contributed to its performance.
• Use various filters to get specific insights. Eg. Identify what content brought traffic to a specific landing page or the type of content that leads download the most.

What Dreamdata Does Better

Here we identify the areas where Dreamdata has a clear upper hand when compared to Bizible

Integrations

When it comes to integrations, Dreamdata has a clear upper hand compared to Bizible.*

*Based on information available on the website and documentation.

Ease of use and setup

User ratings on G2 reveal that Dreamdata is much easier to use than Bizible. When it comes to ease of setup, Dreamdata is a clear winner.

Bizible, being an enterprise-level platform, requires a lot of time and effort to implement. Also, businesses may require a solutions provider to implement and configure Bizible.

Customer support

Providing excellent customer support is crucial in B2B SaaS. It helps businesses build long-term relationships with their customers. Customer support and customer success also help

• Retain customers:  Customers who are satisfied with the product and have their voice heard tend to stay. Retaining customers is much more cost effective than acquiring new ones.
• Increase customer loyalty: Loyal customers become product advocates and help spread information about the product through word of mouth.
• Gather feedback from customers: Suggestions, feedback, etc from customers can help improve the product and make it more valuable to the customers. 

Both platforms have great customer support based on the user reviews from G2. But Dreamdata slightly outshines Bizible on this front.

What Bizible Does Better

In this section we go over the areas where Bizible is better than Dreamdata. 

Custom Attribution 

One of Bizible’s advanced features is the custom attribution. This feature allows users to identify and choose touchpoints from the buyer journey that they want to include in the model.

The tool also empowers users to control the percentage of revenue attributed to the selected touchpoints. Alternatively, users can choose to use the suggested revenue attribution percentages suggested by Marketo Measure’s (Bizible) machine learning model.

‍

Compliance

Dreamdata and Bizible comply with common data security and privacy standards such as GDPR and SOC 2.

But Bizible being an enterprise tool complies with additional international standards compared to Dreamdata. You can take a look at the complete list of certification each tool has below.

Dreamdata vs. Bizible: Pricing

A product’s pricing is a critical component for companies as it impacts revenue, profitability, competitiveness in the market among other factors. In this section we compare the pricing of the two tools.

Bizible Pricing

Bizible (Marketo Measure) does not have a transparent pricing policy. Therefore, interested visitors will have to get in touch with their team to get a custom quote for their business.

Pricing insights from G2 reveal that Bizible is 13% more expensive than the average attribution tool.

Also to note, is the cost incurred when hiring a separate IT solutions partner to implement and configure the tool. This makes Bizible an expensive tool and suited for larger organizations. 

Dreamdata Pricing

Dreamdata offers both free version and paid plans.

• Team - $999 per month 
• Business - A custom plan. Details are available upon request.

Though Dreamdata is on the expensive side, the free version suits small to mid sized B2B organizations while the paid version is more suited for B2B go-to-market teams that need advanced analytics and attribution.

Still Unsure Which B2B Attribution Tool To Go With?

The right attribution tools depend on your business’s requirements and goals.

If you are an enterprise grade organization that believes in the saying “If it’s not in Salesforce, then it doesn’t exist” or MS Dynamics for that matter, then Bizible is the best fit for you.

On the other hand if you're a new age small to medium sized organization using various platforms in your martech stack then Dreamdata is the one for you.

When compared to Bizible,  Dreamdata

• Is relatively cheaper.
• Has more integrations.
• Is easy to use and  implement.
• Is Less clunky as it uses a modern techstack and better UI/UX elements.

.But if you are still not convinced and would like to bargain for more, then we suggest you take a look at Factors.ai.

Factors has all the features that your business needs to

• Attribute revenue to your sales and marketing efforts.
• Analyze the performance of your website, paid and organic efforts
• And also, identify anonymous website visitors.

When compared to Bizible, Factors is much easier to implement. In fact our no-code integrations and onboarding support ensure that you can get started in 30 minutes.

The tool also integrates with more modern softwares used by B2B businesses. Factors integrates with

• Hubspot
• Facebook Ads
• LinkedIn Ads
• Google Ads
• Salesforce
• Segment
• Bing Ads
• Rudderstack
• Marketo
• 6Sense
• Clearbit
• Leadsquared
• Drift
• GSC
• Slack
• Google Spreadsheet
  

Factors when compared with Dreamdata complies with additional data and privacy standards. Factors is GDPR, SOC2 Type I and Type II compliant whereas the latter does not comply with SOC2 Type II. 

Factors also provides businesses with more attributional models to work with compared to Dreamdata and Bizible. The 9 attribution models available in the platform are

• First Touch
• First Touch Non Direct
• Last Touch
• Last Touch Non Direct
• Linear
• W Shaped
• U Shaped
• Time Delay
• Influence
  

Below are some of the features that our users love and that are not available in Bizible and Dreamdata.  

1. Advanced web analytics: - Factors automatically tracks all user interactions in the website. There is no need for the users to set up custom tracking or spend time on other tools for visitor behavior analysis. Some of the interactions that Factors track are
   

• Page Time Spent
• Scroll Depth
• Page Count
• All Button Clicks
• Product Milestones
• Form Fill Attempt
• Custom UTMs (apart from the regular UTMs)

2. Account identification: - Factors website account identification capabilities are extremely useful for businesses looking to know who's visiting their website. By identifying anonymous account-level traffic and what they engage with the most businesses can create personalized marketing and sales efforts to succeed in Account Based Marketing.  
3. Path analysis: - This feature provides insight into the user interactions at each stage of the customer journey. It also reveals the most influential path that converts visitors into leads.

4. Custom funnel analysis: - Generate focused funnel reports by adding necessary KPIs and events from both website and CRM.
5. Slack alert: - Users get notified in real-time whenever there is any anomaly in KPIs or when an event occurs. Eg When MQL has filled a demo form the sales team can immediately reach out to them or when the CPC of a campaign has shot up by 25% in the last week compared to the previous week.

Read more about Factors’ features. 

Factors Pricing

Factors apart from offering more features compared to Bizible and Dreamdata, it is priced relatively lower than both. There is also a 14-day free trial 

The paid plans for Factors attribution solutions are as follows:

• Starter - $399 per month (0 - 10K monthly visits)
• Growth - $799 per month (10 - 100K monthly visits)

The details on the Custom and Agency plan is available upon request. Visit the pricing page to know more.