Vrushti Oza

Content Marketer

Factors.AI

Hey there, I’m Vrushti Oza.

Over seven years ago, I stumbled into writing when I took some time off to figure out whether industrial or clinical psychology was my calling. Spoiler: I didn’t choose either. A simple freelance writing gig helped me realize that writing was my true calling. I found myself falling in love with the written word and its power to connect, inform, and inspire.

Since then, I’ve dedicated my career to writing, working across various industries and platforms. I’ve had the opportunity to tell brand stories in the form of blogs, social media content, brand films, and much more.

When I'm not working, you'll find me at the gym, or exploring restaurants in Mumbai (because that's where I live!) or cracking jokes with Bollywood references.

Writing wasn’t the path I planned, but it’s one I’m grateful to have found—and I can’t wait to see where it leads!

Feel free to connect with me on LinkedIn if you want to chat about writing, marketing, or anything in between.

Understanding an ABM Funnel

December 18, 2025

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0 min read

Marketing Performance Measurement - Challenges & Solutions

December 18, 2025

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0 min read

Increasingly, marketing performance measurement has become the heartbeat of every SaaS go-to-market function. Marketing performance measurement serves a dual purpose: first, it determines if marketing is indeed working towards business objectives, and two, it supports efficient resource allocation to ensure every marketing dollar counts towards revenue

Marketing Performance Marketing - A Tale of Two Meetings

Let’s begin our journey by exploring the duality of marketing performance measurement:

Meeting 1: In the C-Suite

Imagine a high-stakes C-level executive meeting in a sleek boardroom, where the CMO stands front and center, under the spotlight.

Their mission? To prove that Marketing isn't just a department spending dollars; it's the strategic lever pushing the business towards its objectives. The CMO seeks to demonstrate marketing's contribution to the bottom line. This is where the first challenge unfolds.

The CMO's Dilemma

The CMO shoulders the responsibility of showcasing how marketing aligns with the overarching business goals. Their primary goal is to guarantee that every marketing initiative enhances the efforts of other departments, including Sales, Customer Success, and Product. The ultimate aim is evident:

Achieve Alignment - The CMO must navigate the labyrinth of business objectives and show how marketing's compass is set in the same direction.
Get Budgets Approved - To secure the necessary resources, the CMO must articulate how marketing initiatives are essential to drive the business forward.
Show the Impact of Marketing -In the eyes of the C-suite, the CMO must demonstrate that Marketing is more than a cost center — it's a revenue generator and a strategic asset.

This objective revolves around three key goals:

Achieving alignment
Securing budgets
Demonstrating the impact of marketing

The CMO's journey is riddled with challenges. They must define and measure marketing success in a way that resonates with the broader business goals. It's a complex task that goes beyond mere clicks, traffic, or conversions.

Meeting 2: Within the Marketing Team

Shift gears to an intense Marketing Team meeting. Here, the scene is all about competing priorities. Each marketing leader is striving to secure their share of the budget pie, aiming to maximize their team's performance. It's a complex puzzle, one that requires a judicious allocation of resources to different marketing functions.

In both meetings, one factor is evident: Marketing's performance holds the key to success, but measuring that performance is easier said than done. Let's delve into the intricacies of these measurement challenges.

Challenge With Marketing Performance Measurement

The challenges with defining and measuring marketing performance is a tale of two perspectives:

1. High-level business objectives in the C-suite
2. Granular resource allocation within the marketing team

Challenges for C-level Executives in Assessing Marketing Performance

C-level executives are tasked with the critical role of assessing marketing performance. From the perspective of a CMO in the CXO meeting, the objective remains clear: to establish how marketing significantly impacts business goals and aligns with other teams, amplifying their work.

1. Proving Marketing ROI and Influence on the Pipeline

One of the critical challenges that C-level executives face is proving marketing return on investment (ROI) and measuring marketing's influence on the pipeline. The pressure to demonstrate that every dollar allocated to marketing translates into tangible results weighs heavily on the CMO's shoulders. Here, it's no longer enough to highlight vanity metrics; the focus is on metrics that directly tie marketing initiatives to revenue. It's about showcasing the journey from a marketing touchpoint to a closed deal.

2. Justifying Marketing Investments

Another challenge they often grapple with is the need to justify marketing investments. In an environment where every expenditure needs to be justified, marketing budgets come under tight scrutiny. The CMO must make a compelling case for why marketing deserves a significant share of the financial pie. This involves presenting not just the historical performance data but a strategic roadmap that lays out how marketing investments will contribute to the company's growth trajectory.

3. Improving Budgeting and Resource Allocation

Striking the right balance in budgeting and resource allocation is an intricate puzzle. C-level executives understand that underinvesting in marketing could stifle business growth while overinvesting could lead to budgetary constraints. The task is to allocate resources effectively, ensuring that marketing has the necessary tools to propel the business forward. The balance between short-term gains and long-term brand building must be maintained, a challenge that requires a strategic perspective.

4. Aligning Marketing Efforts with Overall Business Goals

To meet the objective of achieving alignment, executives must ensure that marketing efforts are in complete harmony with the broader business goals. The days of isolated marketing campaigns, driven solely by creative innovation, are long gone. The CMO's mission is to bridge the gap between marketing and other teams like Sales, Customer Success, and Product, ensuring that each department's work complements and amplifies the other.

5. Interpreting Marketing Data and Its Impact on Customer Experience

As you may agree, the world of marketing data is a labyrinth of numbers, charts, and graphs. The challenge lies in interpreting this data and understanding its real impact on customer experience. C-level executives can find themselves lost in this sea of information, struggling to discern actionable insights from vanity metrics. The CMO's role is to present data that tells a story, a narrative that highlights how marketing initiatives shape the customer experience and ultimately drive business growth.

These challenges aren't isolated; they are interconnected facets of the CMO's quest to prove marketing's worth in the CXO meeting. The following sections will delve into the specific strategies and solutions that can help C-level executives overcome these challenges and showcase the true impact of marketing on the bottom line. Through real-world examples, case studies, and analogies, we'll shed light on how business alignment is not just an aspiration but a tangible achievement in the realm of modern marketing.

Challenges for C-level Executives in Assessing Marketing Performance

Example: Adidas' Data-Driven Attribution Success Story

To illustrate how organizations have effectively addressed the challenge of substantiating marketing ROI and measuring marketing's influence on their business outcomes, we can examine the data-driven attribution success achieved by the global footwear giant, Adidas.

Adidas, a prominent player in the athletic and sportswear industry, identified a significant gap in its ability to measure the return on investment effectively. In a fiercely competitive market, understanding the impact of marketing became pivotal, and Adidas recognized that its existing strategies fell short of delivering precise results.

Adidas confronted the challenge of precisely measuring the return on its marketing investments. Despite its stature, the company found itself falling short in accurately gauging the impact of marketing endeavors, especially in the highly competitive landscape of sports and lifestyle apparel.

So, how did Adidas address this challenge?

1. Data-Driven Marketing Strategy

Adidas embarked on a comprehensive data-driven marketing strategy, leveraging state-of-the-art data analytics tools, machine learning, and artificial intelligence. Through these technologies, they meticulously traced every dollar invested in marketing, discerning its direct influence on their sales pipeline.

Attribution Modeling:

Adidas implemented advanced attribution modeling, transcending the limitations of the last-click attribution model. This allowed them to attribute due credit to all marketing touch points, even those that contributed earlier in the customer journey. The shift in perspective unveiled the holistic impact of marketing interactions.

Customer Journey Mapping:

Adidas undertook a detailed mapping of the customer journey, encompassing the various marketing touchpoints across different stages. This comprehensive view empowered Adidas to understand precisely how each marketing interaction influenced prospective customers at different points in their journey, transcending mere lead generation.

Holistic Performance Reporting:

The company amalgamated data from diverse marketing channels and tools into a unified performance report. This consolidated view provided C-level executives with a crystal-clear, end-to-end depiction of how marketing endeavours directly contributed to the sales pipeline and, ultimately, revenue.

The Results:

Adidas's strategic adoption of data-driven attribution bore remarkable fruit. They achieved a substantial 15% increase in marketing-sourced leads and a remarkable 30% improvement in return on ad spends, as evidenced by Forbes.

In a nutshell, the Adidas case serves as a compelling example of how a data-driven approach can effectively address the challenge of proving marketing ROI and showcasing marketing's direct impact on the sales pipeline. By investing in advanced analytics, advanced attribution modeling, and a customer-centric methodology, Adidas not only demonstrated the ROI of its marketing initiatives but also uncovered opportunities for further optimization. It stands as a testament to how the alignment between marketing and overarching business objectives can be not only a goal but an attainable reality, delivering tangible results and substantiated ROI.

Challenges for Marketing Teams in Evaluating Performance

Marketing teams, from the perspective of a CMO in a marketing team meeting, face a different set of challenges in evaluating performance. They have the overall budget approved by the C-levels, and the pressure is on them to allocate it wisely across various initiatives. Here, the challenge is not just proving the value of marketing but also ensuring that every marketing dollar is spent with precision and purpose.

1. Measuring and Analyzing Efforts

One of the foremost challenges marketing teams face is measuring and analyzing their efforts effectively. This involves collecting data from various channels and campaigns, a process that can quickly become convoluted. Ensuring that the data collected is accurate, relevant, and up-to-date can be a Herculean task. Marketing teams must grapple with tools and technologies that promise comprehensive data but often fall short in delivering insights that really matter and help them build a case.

2. Attribution Modeling and Performance Reporting

Attribution modeling is often perceived as a daunting task. Determining which marketing touchpoints contributed to conversions and how much credit each should receive is a complex web to untangle. Marketing teams can feel overwhelmed as they attempt to assign values to different marketing channels and efforts accurately. The challenge is to construct an attribution model that aligns with business objectives, a puzzle that often remains unsolved.

3. Demonstrating ROI and Proving Campaign Effectiveness

Marketing teams also face the pressure of demonstrating return on investment (ROI) and proving the effectiveness of campaigns. This involves looking beyond the surface-level metrics such as clicks and impressions and diving into metrics that directly correlate with business outcomes. It's not merely about reporting numbers but about telling a compelling story of how each campaign contributes to the bigger picture.

4. Allocating the Approved Budget Across Initiatives

From the standpoint of marketing teams, the CMO must wrestle with the challenge of allocating the overall budget approved by the CXOs across various initiatives. This isn't just about dividing the pie; it's about distributing it in a way that maximizes the ROI for each initiative. The task is to determine which channels, campaigns, and strategies deserve the lion's share of the budget and which should make do with less.

5. Picking the Right Channels

Choosing the right channels to invest in is often another challenge for marketing teams. The digital world is rife with options, and not all are equally effective for every business. Making the right channel choices can mean the difference between a successful campaign and a wasted budget. That said, marketing teams need to carefully consider their target audience, message, and objectives when deciding where to allocate resources.

6. Unifying Reporting

Another challenge lies in unifying reporting across various channels and campaigns. Often, marketing teams are inundated with isolated reports from different tools and platforms, making it difficult to see the big picture. The objective is to streamline reporting, making it comprehensive and coherent, so that insights can be drawn from a holistic view of marketing performance.

Measuring the Influence of Touchpoints in Unison

Long gone are the days of attributing success to individual touchpoints. Marketing teams must now focus on measuring the influence of touchpoints in unison with each other. Understanding how different channels work together to lead a prospect down the conversion path is a multifaceted challenge. The CMO must guide the team in constructing a performance measurement framework that considers the synergy between touchpoints.

This section will explore solutions to these challenges, drawing from real-world B2B examples, case studies, and analogies that help demystify the intricacies of marketing performance measurement at the ground level. The aim is not just to uncover the problems but to provide actionable insights for CMOs and marketing teams to overcome these hurdles effectively.

Challenges for Marketing Teams in Evaluating Performance

Example: OneSpot's Attribution Modeling Revolution

We’ve already seen how C-levels can resolve marketing measurement-related concerns. Now, to exemplify how marketing teams can address the challenge of attribution modeling and performance reporting, let's take a peek into OneSpot's transformative journey.

OneSpot, a renowned inbound marketing and sales software company, realized the need for a more sophisticated approach to attribution. Like many other marketing teams, they were grappling with assigning proper credit to various touchpoints in the buyer's journey.

So, what did they do?

Holistic Attribution Model

OneSpot transitioned from a simplistic first-touch or last-touch attribution model to a holistic attribution approach. They introduced a custom attribution model that factored in multiple touchpoints throughout the customer's journey. This shift allowed them to accurately assess the role each touchpoint played in conversions.

Unified Reporting

OneSpot integrated various marketing channels and tools into a unified reporting dashboard. This dashboard provided marketing teams with a comprehensive view of their efforts' performance. It allowed them to see how different channels and campaigns interacted and influenced one another in the conversion process.

Machine-Learning for Attribution

OneSpot leveraged machine learning algorithms to automatically assign credit to different touchpoints. This data-driven approach ensured that attribution was based on actual data patterns rather than subjective judgments. It eliminated the bias that often crept into manual attribution methods.

Data-Backed Decisions

By implementing these changes, OneSpot not only enhanced its attribution modeling but also made data-backed decisions regarding budget allocation. The marketing team could clearly see which channels and campaigns were most effective at different stages of the customer journey. This allowed them to optimize resource allocation for maximum impact.

OneSpot's journey is a prime example of how marketing teams can navigate the challenges of attribution modeling and performance reporting. By embracing advanced attribution models, unifying reporting, and leveraging technology like machine learning, they transformed the way they assessed marketing performance. The above example we just saw, illustrates the practical steps that CMOs and marketing teams can take to address these challenges effectively and ensure that every marketing dollar is spent with purpose and precision.

Bridging the Gap: Strategies for Improved Measurement

Understanding the challenges faced by both C-level executives and marketing teams, it's clear that a bridge must be constructed to close the gap between expectations and operational realities. Here, we offer actionable strategies to enhance marketing performance measurement and foster collaboration between CXOs and marketing teams.

For C-Level Executives

1. Educate and Equip

C-level executives need to invest in understanding the complexities of modern marketing. This means not only asking for data but also having the knowledge to interpret it. Education in digital marketing trends, analytics, and performance measurement can be invaluable.

2. Set Clear Objectives

Establish unambiguous objectives for marketing efforts that align with broader business goals. Make it a collaborative exercise, involving marketing teams in the goal-setting process to ensure realistic and feasible targets.

3. Regular Reviews and Alignment

Implement regular review sessions where marketing teams present their findings, challenges, and plans to the C-suite. This keeps everyone on the same page and helps to identify and address bottlenecks promptly.

4. Innovation Budget

Allocate a portion of the marketing budget to innovation and experimentation. Encourage marketing teams to explore new tactics and technologies that might yield long-term benefits, even if they are harder to measure in the short run.

For Marketing Teams

5. Enhance Data Collection

Invest in data collection tools and methodologies that provide a holistic view of marketing performance. This includes incorporating cross-channel tracking and ensuring data accuracy.

6. Focus on Customer Journey Mapping

Instead of isolated touchpoint measurements, concentrate on mapping the customer journey. Understand how different channels influence prospects at various stages, allowing for a more comprehensive performance evaluation.

7. Collaborative Reporting

Develop a standardized reporting format that incorporates both high-level metrics for the C-suite and detailed analytics for internal use. This ensures that every team member, from CMOs to data analysts, can interpret and act on the data effectively.

8. Continual Learning

The marketing landscape evolves rapidly. Encourage and enable your team members to upskill by staying updated with the latest developments within the industry, emerging trends and technologies. Investing in employee training and development can significantly impact performance.

Joining Hands: Collaboration and Alignment

A significant component of bridging the gap between C-level executives and marketing teams is fostering collaboration and alignment. At the cost of sounding cliche, this means both parties need to work together, understanding each other's challenges and priorities. Establish cross-functional teams where marketing, sales, product, and customer success work together on joint initiatives. This approach helps break down silos, promotes data sharing, and accelerates the achievement of common goals.

The benefits of this collaboration are substantial. C-levels gain a deeper understanding of the intricacies of marketing performance, while marketing teams feel more empowered and supported in their endeavors. The two groups can collectively evaluate the effectiveness of different marketing strategies and tactics, making informed decisions on how to allocate budgets more effectively.

Bridging the Gap for Optimal Performance

In B2B marketing, addressing the challenges surrounding performance measurement is essential. Understanding the nuances of these challenges from both the C-level executive perspective and the marketing team's viewpoint is the first step towards bridging the gap. By implementing actionable strategies and fostering collaboration, businesses can achieve optimal marketing performance measurement, align marketing efforts with broader business goals, and showcase marketing's true impact. In this quest for better measurement, both C-level executives and marketing teams must work hand in hand, guided by a shared commitment to success.

Measuring marketing performance is critical for aligning strategy with business goals and maximizing ROI. However, several challenges often hinder accurate and actionable measurement:

Key Challenges
1. Data Fragmentation
Customer data is scattered across various platforms and touchpoints, creating silos and missed opportunities for insight and targeting.
2. Attribution Complexity
With lengthy buyer journeys and multi-channel interactions, attributing conversions accurately to specific efforts is often difficult.
3. Data Quality & Accessibility
Inconsistent metrics, outdated inputs, and complex data ecosystems make it tough to maintain reliable, accessible insights.
4. Measurement Frequency & Timeliness
Measuring too frequently encourages short-term thinking, while measuring too infrequently can lead to missed opportunities.
5. Lack of Trust in Measurement
Stakeholders often distrust marketing metrics, undermining the value of performance insights and data-led decision-making.

Solutions to Overcome These Challenges
1. Unified Measurement Frameworks
Adopt integrated methodologies—like Unified Measurement or triangulation—to create a common language and eliminate data silos.
2. Advanced Analytics Tools
Leverage platforms like Factors.ai to consolidate multi-channel data into one dashboard, enabling clearer performance insights.
3. Better Data Integration
Connect CRM, ad platforms, website analytics, and other tools for a 360° customer view and improved targeting.
4. Define Clear Metrics & KPIs
Align performance metrics with specific business goals to provide clarity and consistency across teams.
5. Promote a Data-Driven Culture
Encourage all departments to make decisions based on data insights to build trust and accountability in measurement.

By tackling these issues head-on with modern tools and strategic practices, businesses can significantly improve the credibility, accuracy, and impact of their marketing performance measurement.

Accurately Measure LinkedIn Ad Conversions: Conversion API

December 18, 2025

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0 min read

Who stole the cookie from the cookie jar? Who, me? No, Google!

If you’re a B2B marketer, we’re almost 99.99% sure you’ve heard that third-party cookies will soon be a thing of the past.

The deprecation of third-party cookies has impacted conversion tracking. This increased the need for accurate feedback data to optimize campaigns, drive conversions, and prove ROI to leadership.

While LinkedIn reports that audiences who see brand and acquisition messages on the platform are 6X more likely to convert than those exposed to just one type of message - what happens when conversion tracking becomes tougher? You fall back on Factors’s LinkedIn AdPilot.
Factors' CAPI integration with "set & forget campaign" optimization solves the cookie deprecation challenge. CAPI ensures your LinkedIn ad campaigns have the necessary data, even without third-party cookies. This feature simplifies campaign optimization. It helps marketers achieve their goals despite the loss of third-party cookies.

TL;DR

Factors’ CAPI integration is a powerful feature for B2B marketers looking to enhance the performance of their LinkedIn campaigns. CAPI helps businesses overcome the challenges posed by third-party cookie deprecation by leveraging first-party data and enabling automated optimization. With CAPI, marketers can achieve more accurate tracking, seamless integration, and improved ROI, making it an essential component of any modern digital marketing strategy.

What is CAPI?

CAPI sends conversion data from websites, campaigns, CRM, and other sources directly to LinkedIn's ad platform. This data is crucial for self-optimizing campaigns, providing LinkedIn's algorithms with accurate and complete information. It works like Google's Conversion API, which effectively optimizes campaigns.

The Problem: Third-Party Cookie Deprecation

Issues with Data Loss and Campaign Optimization

The deprecation of third-party cookies has disrupted conversion tracking. These cookies have allowed marketers to track user behavior and measure conversions accurately. However, with new privacy changes in browser policies, third-party cookies are becoming less viable. This shift has caused substantial data loss. This makes it hard for marketers to gather the insights needed for effective campaign optimization.

Without accurate conversion data, LinkedIn’s self-optimizing algorithms are hampered. Campaigns that rely on third-party cookies may see a significant drop in performance due to incomplete data, resulting in underreported conversions and inefficient ad spending.

Consequences for Marketers

The broader implications of data loss resulting from the deprecation of third-party cookies can be understood in these two ways:

Reporting limitations hinder marketers from accurately measuring campaign conversions, leading to inefficient budget allocation.
Auto campaign optimization and bidding strategies suffer due to the lack of conversion data.

How CAPI Solves the Problem

Factors’ CAPI integration addresses this issue by bypassing the need for third-party cookies. Instead, it relies on first-party data from a company’s digital properties and CRM. This data is then passed back to LinkedIn, allowing for continuous and accurate tracking of conversion events.

Our CAPI integration sends conversion event data to LinkedIn. This data includes online events like website visits, clicks, and form fills, as well as offline events like MQLs, SQLs, or deal creations. CAPI removes the guesswork in optimizing ad campaigns, ensuring data-driven decisions and better performance.

Besides CAPI, we seamlessly integrate LinkedIn Ads data into your Factors dashboards through our AdPilot suite. This integration merges comprehensive LinkedIn analytics, giving insights into pipeline and revenue attribution.

Key Benefits of CAPI

Enhanced Accuracy:

Using first-party data, CAPI ensures accurate tracking and reporting of all conversion events. This results in more reliable data for optimizing campaigns.

Send Conversion Data to LinkedIn:

Factors’ CAPI integration allows you to send conversion data from any source to LinkedIn. We also enable you to send offline and online conversion data to LinkedIn via Factors.

Automated Optimization:

Once set up, Factor’s CAPI integration lets you optimize campaigns with a "set & forget" approach. Conversion data automatically feeds back to LinkedIn so the platform can self-optimize your campaigns without constant manual intervention.

Improved ROI: ‍

With precise conversion tracking, your LinkedIn campaigns become more efficient. Automated optimization further enhances their effectiveness, leading to a higher return on investment.

Use Case: B2B Marketing Campaign

Here’s how CAPI can change up your marketing campaign:

Use Cases

Accurate Conversion Event Tracking

One of CAPI's primary benefits is its ability to ensure accurate conversion event tracking. By utilizing first-party data, CAPI allows for precise and reliable conversion tracking. This improved data accuracy leads to better campaign performance and more informed decision-making.

Self-Optimizing Campaigns

CAPI enables LinkedIn’s algorithms to receive comprehensive data, enhancing self-optimization. With precise and timely conversion data, LinkedIn can automatically adjust targeting, bidding, and creative elements to maximize campaign performance.

Improved Ad Targeting and Personalization

CAPI's granular data enhances targeting strategies, creating more personalized ad experiences. Marketers can effectively tailor their targeting efforts with detailed insights into which ads drive conversions and how users interact with them.

Seamless Integration with Marketing Ecosystem

CAPI integrates with your current marketing infrastructure. This integration ensures a cohesive data strategy. It streamlines workflows and improves data accuracy across platforms.

Integrating LinkedIn's Conversions API (CAPI) with Factors.ai enhances B2B marketers' ability to track and optimize LinkedIn ad campaigns, especially in the evolving landscape of data privacy and third-party cookie deprecation.

Key Benefits of LinkedIn CAPI Integration with Factors.ai:
1. Enhanced Conversion Tracking
CAPI enables the direct transmission of conversion data from websites, CRMs, and other sources to LinkedIn, ensuring accurate and comprehensive tracking of both online and offline conversions.
2. Privacy Compliance
By utilizing server-to-server data sharing, CAPI reduces reliance on browser-based tracking, aligning with stringent data privacy regulations and mitigating the impact of third-party cookie loss.
3. Improved Campaign Optimization
With more precise conversion data, LinkedIn's algorithms can better optimize ad delivery, potentially lowering costs and enhancing performance.
4. Seamless Integration
Factors.ai's partnership with LinkedIn ensures a streamlined setup process, allowing marketers to efficiently connect their data sources and begin leveraging CAPI benefits without extensive technical resources.

By adopting LinkedIn's CAPI through Factors.ai, B2B marketers can achieve more reliable attribution, optimize ad spend, and maintain compliance with evolving data privacy standards.

In a nutshell

Most platforms only track basic CRM events like Marketing Qualified and Sales Qualified Leads. However, Factors identifies top-tier users early by using various upstream events, lowering LinkedIn's Customer Acquisition Cost. It supports multiple online, offline, custom, and unique product events. These events create a feedback loop, integrating data for better campaign optimization and more leads.

Ready to take your LinkedIn campaigns to the next level? Start using Factors’ CAPI feature today and experience the benefits of set-and-forget campaign optimization. Get in touch to learn more and get started.

Read more about LinkedIn Impressions here.

Top 10 Dealfront Competitors & Alternatives

December 18, 2025

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0 min read

Zapier vs. Make: Which Is The Better Business Automation Platform?

December 18, 2025

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0 min read

Automation tools have become indispensable for businesses today, streamlining repetitive tasks and creating more efficient workflows. Among the popular platforms are Zapier and Make (formerly known as Integromat). Both platforms offer significant automation capabilities, allowing businesses to integrate various applications and systems, but they serve different purposes and come with different strengths.

Let us show you a detailed comparison that will help businesses choose the right tool depending on their needs, budget, and workflow complexity.

TL;DR

Zapier and Make are powerful automation platforms that help you eliminate manual work by connecting apps and automating workflows.
Zapier is known for its user-friendly interface and is best suited for straightforward, linear workflows, while Make shines when dealing with more complex, branched, or conditional workflows.
However, businesses using Factors can skip the need for either tool, as Factors provides built-in integrations and workflow automation, consolidating everything in one platform.
This eliminates dependencies on third-party services, giving businesses more control and efficiency in managing data and automation.

Automation in Business

The growth of digital tools for businesses has led to a higher demand for automation. Automation platforms such as Zapier and Make allow businesses to connect apps without the need for programming knowledge, enabling them to:

Reduce repetitive tasks.
Improve operational efficiency.
Enhance collaboration across teams.
Save time by automating routine processes.

With thousands of available app integrations, both tools can help businesses of all sizes manage operations by connecting apps like Google Sheets, Gmail, Slack, Trello, and hundreds more. However, several key considerations must be made when choosing between Zapier and Make.

Platform Overview

Zapier

Zapier, founded in 2011, is one of the pioneers in business automation. It connects over 6,000 apps to create automated workflows called "Zaps." The platform excels in creating simple, linear workflows where one action in an app (the "trigger") causes another action in a different app (the "action"). For example, you can set up a Zap that triggers when a new email arrives in Gmail and automatically adds a task to Trello or sends a message on Slack.

Make

Make (formerly known as Integromat), launched in 2012, is another well-known automation platform. Make's workflows, known as "Scenarios," allow for more complex automation, including conditional logic, branching paths, and multi-step processes. The platform provides a visual workflow editor that offers a comprehensive overview of how data moves between apps. While Make supports 1,000+ apps, it enables more flexibility and control over workflows than Zapier.

Core Features

User Interface and Ease of Use

Zapier

Zapier’s strength lies in its simplicity. The platform features a clean, straightforward interface that makes it easy for non-technical users to create automated workflows. Even if you’ve never set up automation, you can create Zaps in a few minutes. You simply choose a trigger, specify the action and your Zap is ready. For businesses that need to automate basic tasks, Zapier’s simplicity is one of its primary selling points.

Make

Make, on the other hand, uses a more visual interface. It allows users to build complex workflows through a flowchart-style editor. While the interface may seem intimidating for beginners, it offers far more control over workflows, especially for advanced users. Make’s visual editor lets you create non-linear workflows, use filters, handle data manipulation, and add multiple actions within a single scenario. Make's interface is more suitable for users who require conditional logic and branching paths.

Automation Flexibility

Zapier

Zapier is excellent for simple automation. It works well when you need a trigger to lead to one or more actions in a straightforward, linear fashion. For example, a Zap can take information from a Google Form submission and add it to Google Sheets while sending a Slack message. However, it has limitations in building advanced workflows requiring complex conditions and multiple branches.

Make

Make allows for far more flexibility in automating workflows. Its flowchart-based interface lets you connect multiple apps, add conditional logic, and build multi-step scenarios with advanced filters. For example, you can set up a workflow where a specific condition in one app leads to different actions depending on the data. Make's ability to process data, handle loops, and branch into multiple workflows makes it suitable for advanced automation.

Pricing and Plans

Zapier Pricing

Zapier offers a free plan for users needing basic automation, which includes 100 monthly tasks and the ability to create five single-step Zaps. If you need more, the paid plans start at $19.99 per month (billed annually) for 750 tasks and multi-step Zaps. The cost increases significantly as you require more advanced features, such as conditional logic. High-volume users and businesses with complex workflows may need to move up to the Professional or Team plans, which can range from $49 to $299 per month, depending on task volume and team size.

Make Pricing

Make also offers a free plan, which includes 1,000 operations (tasks) per month with the ability to create unlimited scenarios. The Core plan, which starts at $9 per month, provides 10,000 operations and access to more advanced features, including multi-step scenarios and complex workflows. Higher-tier plans are available for businesses with more significant automation needs, offering up to 800,000 monthly operations at a starting price of $299.

Which is More Cost-Effective?

Make’s pricing is generally more competitive, especially for businesses needing complex workflows or a higher volume of operations. For businesses requiring advanced automation with conditional logic and more integrations, Make offers better value at a lower price point. Zapier, on the other hand, becomes more expensive when you need multi-step Zaps and higher task volumes.

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Integrations and App Support

Zapier Integrations

Zapier boasts over 6,000 supported apps, covering everything from CRMs to communication tools, eCommerce platforms, and project management systems. This makes it one of the most versatile automation tools on the market. With integrations for popular tools like Slack, Salesforce, and Google Workspace, businesses can connect almost any application they use to automate their processes.

Make Integrations

Make supports 1,000+ apps, which is fewer than Zapier, but it makes up for this with more complex and advanced integrations. While the number of integrations is lower, Make’s flexibility in building custom workflows often results in deeper integrations with these apps. For instance, Make’s integration with Google Sheets allows for data transformations and complex formulas, which may require custom coding in Zapier.

Advanced Features

Both platforms offer advanced features like multi-step automation, data filtering, and error handling. However, Make is better suited for businesses requiring more sophisticated automation.

Zapier vs. Make: Which to Choose?

When to Choose Zapier

Ease of Use

Zapier is perfect for users who need quick, simple automation without delving into complex workflows. Its interface is easy for small businesses and teams needing basic app-to-app integrations.

App Integrations

If you require a tool with many integrations, especially for mainstream apps, Zapier’s 6,000+ app library is ideal.

Minimal Setup Time

Zapier’s pre-built templates and user-friendly interface make it the right choice for businesses that need to set up automation quickly and with minimal learning time.

When to Choose Make

Complex Workflows

If your business needs automation workflows with multiple conditions, branching logic, or data transformations, Make’s flexibility makes it the better choice.

Cost Efficiency

For businesses with high automation needs (i.e., over 10,000 operations a month), Make offers more cost-effective plans than Zapier.

Visual Workflow Building

Make’s flowchart-style interface is ideal for users who prefer to visualize their workflows and see how data moves through different steps.

Limitations of Zapier and Make

Zapier’s Limitations

Limited Workflow Customization

While Zapier excels at simple automation, it cannot handle complex, multi-step workflows with conditional logic, making it less ideal for advanced users.

Cost

For businesses needing multi-step automation or high volumes of tasks, Zapier’s costs can add up quickly.

Make’s Limitations

Steep Learning Curve

While Make offers more flexibility, beginners may find it difficult to grasp the platform’s more advanced features, particularly when dealing with complex workflows.

Smaller App Ecosystem

While Make supports various apps, it doesn’t offer the same breadth of integrations as Zapier, especially for niche tools.

Factors.ai: A Better Alternative to Zapier and Make

While both Zapier and Make offer powerful automation features, businesses can avoid the complexity of relying on external tools by opting for an all-in-one solution like Factors.ai. With Factors.ai, you get:

Built-in Integrations

There is no need to connect external apps via third-party services. Factors integrates seamlessly with popular B2B marketing and business tools, enabling you to access all your data in one place.

Custom Workflows

Factors allows you to build and execute custom workflows directly within the platform. You won’t need Zapier’s linear workflows or Make’s complex scenarios because Factors empowers you to automate your processes internally, based on your business logic, and without coding expertise.

Centralized Data Management

Factors brings all your data into one platform, which can be analyzed, reported, and acted upon without setting up multiple external automation systems. This ensures better data governance, quicker insights, and a unified approach to managing data across teams.

Additionally, Factors.ai provides advanced features to enhance your workflow automation:

AdPilot: Automates ABM advertising and optimizes ad delivery by using real-time engagement data, ensuring the right content reaches high-value accounts at the right time.
Segments: Offers powerful segmentation and insights, enabling businesses to define and target specific customer segments based on real-time behavior and engagement patterns.
Workflows: This lets you design complex workflows that automate critical tasks, ensuring streamlined operations and reducing manual intervention across your ABM strategy.

By incorporating these automation features natively, Factors enables users to simplify their operations without needing third-party platforms like Zapier or Make. It removes dependencies and ensures smoother data flow and control, which is crucial for growing businesses that don’t want to juggle multiple tools.

The Future of Automation

Automation has evolved from a niche capability to a cornerstone of modern business operations. Tools like Zapier and Make have empowered millions of users worldwide, showcasing the immense value of streamlined workflows. However, as businesses grow and their needs become more complex, solutions like Factors.ai offer an alternative by providing more integrated and tailored automation capabilities.

Why might businesses complement or transition from third-party automation tools like Zapier and Make?

Growing Shift Toward Native Integrations
Platforms like Factors are now designed with built-in automation capabilities, enabling businesses to achieve more seamless connections without always needing external tools.
Enhanced Data Security and Governance
With data housed on a unified platform, businesses can maintain tighter control over workflows and ensure compliance without the additional layers of complexity.
A Unified, Simplified User Experience
By reducing reliance on multiple tools, businesses can streamline their operations and focus on what matters—leveraging a single platform for data management, automation, and analytics.

This approach doesn’t replace tools like Zapier and Make; it complements their vision by addressing the growing demand for holistic and scalable solutions in today’s evolving landscape.

Zapier and Make are leading business automation platforms, each catering to different workflow complexities.

1. Zapier: Known for its user-friendly interface, Zapier is ideal for straightforward, linear automations. With over 6,000 app integrations, it allows businesses to quickly set up simple workflows and automate repetitive tasks with minimal effort.
2. Make (formerly Integromat): Make stands out with its visual, flowchart-style builder, which is perfect for more complex, branched workflows. It offers greater flexibility and is best suited for businesses with intricate processes requiring multiple steps or conditional logic.
While Zapier excels in quick, simple automations, Make is preferred for detailed, multi-step workflows.
For businesses using Factors.ai, the platform’s built-in integrations and workflow automation capabilities eliminate the need for third-party tools like Zapier or Make. This streamlines operations within a single platform, providing a more seamless and efficient solution.

In a Nutshell

When choosing between Zapier and Make, the decision ultimately comes down to business needs, workflow complexity, and budget. Zapier is ideal for businesses needing simple, linear automation with many app integrations. It is user-friendly, quick to set up, and perfect for teams looking for hassle-free automation without needing complex workflows. On the other hand, Make is the go-to solution for businesses requiring flexibility, complex logic, and the ability to handle more advanced scenarios. Its flowchart-based interface allows users to visualize every step of the automation process, making it an excellent choice for those needing more granular control over their workflows.

However, businesses using Factors can bypass the need for either Zapier or Make altogether. With Factors.ai, you can access native integrations, custom workflows, and data management tools all in one platform. This makes automation more seamless, efficient, and less dependent on external tools. Factors provides businesses with greater control, security, and operational efficiency by keeping everything under one roof, making it an attractive alternative to third-party automation platforms like Zapier and Make.

FAQs

What are the key differences between Zapier and Make?

Zapier is ideal for creating simple, linear workflows that connect apps based on triggers and actions. It’s easy to use and great for users who need quick automation setups. On the other hand, Make is designed for more complex workflows, offering features like conditional logic, data manipulation, and branching. It’s better suited for advanced users who need control over multi-step automation and intricate processes.

Can Factors.ai replace both Zapier and Make?

Yes, Factors.ai can replace both Zapier and Make for businesses looking for built-in integrations and automation. Factors offer native workflow automation, allowing companies to automate tasks without relying on third-party platforms. It consolidates data management and automates processes directly within the platform, offering more control, efficiency, and simplicity.

Which platform is more cost-effective, Zapier or Make?

Make is generally more cost-effective, especially for businesses with high-volume automation needs. It offers more competitive pricing for users who need complex workflows and a larger number of operations. While Zapier is user-friendly, it can become expensive as businesses scale, especially if they require multi-step workflows or higher task volumes.

Zapier and Make are leading business automation platforms, each catering to different workflow complexities.

2. Make (formerly Integromat): Make stands out with its visual, flowchart-style builder, which is perfect for more complex, branched workflows. It offers greater flexibility and is best suited for businesses with intricate processes requiring multiple steps or conditional logic.

While Zapier excels in quick, simple automations, Make is preferred for detailed, multi-step workflows. For businesses using Factors.ai, the platform’s built-in integrations and workflow automation capabilities eliminate the need for third-party tools like Zapier or Make. This streamlines operations within a single platform, providing a more seamless and efficient solution.

Google Ads 101: Types & Benefits

December 18, 2025

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0 min read

Whether you're a small startup or a large enterprise, tools like digital ads have changed the way businesses reach and connect with their target audiences, all while boosting sales. And what’s the best way to advertise? Well, it’s by using Google Ads. A simple Google search pointed us to a study that said 63% of people have clicked on a Google Ad at some point.

In this blog, we’ll explore the types of Google Ads, their standout benefits, and how integrating them with tools like Factors can supercharge your campaigns with deeper insights.

TL;DR

Google Ads offers businesses fast, scalable, and data-driven advertising. Integrating it with tools like Factors enhances targeting, maximizing ROI, and delivering high-impact results for B2B marketers.
Google Ads Types: Search Ads, Display Ads: Shopping Ads. Video Ads: App Ads, Local Service Ads, Smart Ads & Discovery Ads.
Key Benefits: Immediate Visibility, Precise Targeting, Flexible Budgeting, Retargeting, Performance Tracking, Competitive Edge, Maximize ROI.
Factors Integration Benefits: Precision Retargeting, Account-Based Segmentation, Granular Targeting, Data-Driven Insights.

Types of Google Ads

There are over 20 types of Google Ads, but these are the most widely used ones:

1. Search Ads

Search ads are the most popular and widely used format for Google Ads. These text-based ads appear at the top of Google's search results when users search for specific keywords relevant to your product or service.

Benefits:

High Intent Targeting: Search Ads are shown to users actively searching for your products or services, increasing conversion potential.
Instant Visibility: These ads appear at the top of search engine result pages (SERPs), ensuring prime visibility for your business.
Cost-Efficient: Google Ads uses a pay-per-click (PPC) model, so you only pay when someone clicks on your ad.

2. Display Ads

Display Ads are visual banners shown across websites that are part of the Google Display Network. These ads use imagery and multimedia to engage users who might not be actively searching for your product but are likely to be interested.

Benefits:

Extensive Reach: Google’s Display Network covers millions of websites, giving businesses access to a vast audience.
Visual Appeal: Display Ads support a variety of creative formats, including images, videos, and rich media, which help attract attention.
Retargeting Options: You can use Display Ads for remarketing, showing ads to users who have already interacted with your website.

3. Shopping Ads

Did you know?

85% of clicks on all Google Ads campaigns come from Google Shopping Ads.

Google Shopping Ads are highly visual ads that display your product images, prices, and seller information directly on the Google search results page. They are ideal for e-commerce businesses looking to showcase their products.

Benefits:

High Conversion Rates: Shopping Ads feature detailed product information, making them particularly effective at converting users.
Greater Product Visibility: With product images and prices shown directly on the SERP, Shopping Ads attract more clicks from potential buyers.
Detailed Reporting: Google Shopping Ads offer in-depth analytics, helping you measure performance and optimize accordingly.

4. Video Ads (YouTube Ads)

YouTube, owned by Google, is one of the largest video platforms in the world. Video Ads on YouTube appear before, during, or after video content and can be skippable or non-skippable.

Benefits:

High Engagement: Video content is inherently engaging, allowing you to tell your brand’s story dynamically.
Massive Audience Reach: YouTube boasts billions of monthly active users, making it one of the most effective platforms for brand visibility.
Targeted Advertising: You can target users based on their viewing habits, demographics, or interests.

5. App Ads

If your business has a mobile app, Google App Ads can help promote it across Google Search, YouTube, Google Play, and other apps. These ads aim to drive app downloads and in-app engagement.

Benefits:

Cross-Platform Promotion: Google App Ads allow you to reach users across multiple Google-owned properties.
Automation: Google optimizes these campaigns by using machine learning to determine the best-performing ads.
Boosts App Installs: App Ads are designed to drive user installs, making them highly effective for mobile-first businesses.

6. Local Service Ads

Local Service Ads are designed for businesses that provide local services, such as plumbing, cleaning, legal help, and more. They are displayed at the very top of search results for users in your service area.

Benefits:

Direct Lead Generation: Local Service Ads charge you per lead rather than per click, which helps ensure you’re only paying for genuine interest.
Builds Trust: Many Local Service Ads come with a "Google Guaranteed" badge, which adds credibility to your business.
Perfect for Local Businesses: These ads are ideal for companies that serve specific geographic areas, increasing the likelihood of attracting local customers.

7. Smart Ads

Smart Ads are Google’s AI-driven, automated ad campaigns. You provide basic information, such as your budget and goals, and Google optimizes the rest.

Benefits:

Automation: Google handles the heavy lifting by optimizing ads for you, saving time and resources.
Broader Reach: Smart Ads can appear across Search, Display, and YouTube networks, ensuring maximum visibility.
Data-Driven Optimization: Google’s machine learning optimizes bidding, targeting, and ad placement in real-time to improve performance.

8. Discovery Ads

Discovery Ads allow businesses to engage users by browsing content across Google’s feed-driven platforms, such as YouTube Home, Discover, and Gmail. These visually engaging ads spark curiosity and encourage users to learn more about your brand.

Benefits:

High Visual Appeal: Discovery Ads are visually rich, allowing businesses to create visually compelling stories that capture attention.
User Intent: Discovery Ads appear when users browse content, making them perfect for inspiring discovery and engagement.
Broad Audience Reach: Discovery Ads can help you reach over 3 billion potential customers across Google’s most popular platforms.

Key Benefits of Google Ads

1. Get Faster Results than SEO

While SEO is an essential long-term strategy for improving organic search rankings, it can take time to yield results. Google Ads, on the other hand, provides immediate visibility at the top of search results. Once you launch a campaign, your ads are instantly placed in front of your target audience, driving more immediate traffic to your site.

2. Reach the Right Audience

Google Ad campaigns allow you to define your target audience based on location, demographics, interests, and search behaviors. With advanced targeting options, you can ensure your ads are shown to users who are most likely to engage with your business. You can even retarget users who have visited your site but didn't convert, bringing them back for another chance to close the deal.

3. Increase Brand Recognition

Visibility on Google SERPs significantly boosts brand recognition. By displaying ads on the world's largest search engine, you ensure that your brand remains top-of-mind for consumers as they browse online. Even if users don’t click on your ads right away, repeated exposure increases the likelihood of future engagement.

4. Control Over Your Budget

Google Ads offers flexible budgeting options, allowing you to control how much you spend per click, day, or campaign. You can pause campaigns, increase spending on high-performing ads, or reduce spending as needed. This ensures that you stay within budget while maximizing your ROI.

5. Monitor and Measure Performance

With Google Ads, you can track and measure every aspect of your campaigns. Detailed performance metrics like clicks, conversions, impressions, and ad spending provide valuable insights that allow you to fine-tune your ads for better results. You can see which ads perform well and which keywords drive traffic and make adjustments to improve future campaigns.

6. Outperform Competitors

Google Ads is transparent, allowing you to monitor your competitors' actions. You can analyze their strategies, see which keywords they target, and adjust your approach to outperform them. You can gain an edge and capture more market share by identifying gaps or weaknesses in your competitor’s ads.

7. Retarget Customers

Google Ads makes it easy to retarget users who have interacted with your brand but didn’t convert. You can display banner ads to these users on other websites they visit, gently nudging them to return and complete their purchase. Retargeting ads are a great way to stay connected with potential customers even after they’ve left your site.

8. Maximize ROI

Google Ad campaigns effectively drive conversions and maximize your return on investment (ROI). You can create highly targeted campaigns to reach users most likely to convert, ensuring that every dollar spent is directed toward valuable leads. Plus, with the detailed analytics provided, you can continuously improve your ad campaigns to boost your ROI over time.

Also read Google Ads Quality Score analysis.

Factors Integration with Google Ads

Google’s Audience Segments offer a powerful yet limited native targeting mechanism. While it enables targeting based on basic demographics and browsing behavior, it often falls short for B2B marketers aiming for precision. By integrating and unlocking the many benefits of Google Ads with an account intelligence tool like Factors, businesses can unlock a more strategic and data-driven approach to their ad campaigns.

Here’s how Factors enhances your Google Ads experience:

1. Retarget with Precision:

Factors allows you to retarget specific audience segments based on their stage in the buyer journey or ICP (Ideal Customer Profile) fitment. For example, you could run personalized ads targeting customers who have previously engaged with your product but did not convert. Whether upselling or re-engaging with long-lost leads, Factors offers the flexibility to target with precision, boosting your overall ad ROI.

2. Account-Based Segmentation

Factors identifies and enriches anonymous companies engaging with your website, social media, or product pages like G2. Using firmographic and engagement data, you can create highly specific audience segments. For instance, you could segment “US-based software companies with 100-999 employees who viewed your pricing page” and then push these segments into Google Ads. This level of granularity ensures you’re only serving ads to high-intent accounts, saving ad spending on irrelevant audiences.

3. Data Flow to Google Analytics and Ads

Once you’ve created your custom audience segments, Factors enables you to push this data into Google Analytics. Since Google Ads retargets based on website visitor data captured in GA, this integration acts as a proxy to help you target the right accounts across various ad types (search, video, display).

4. Intent-focused Keyword Research:

You may need to balance your bidding strategy when working with a marketing budget. Factors helps you run variable responsive search ads, where you can bid higher on broader, competitive keywords only for accounts that match your desired Audience Segment. For example, you could bid $6 for the keyword “CRM software” but only display ads to “US-based SMEs” identified through Factors. This ensures that even if you’re competing for high-volume keywords, only relevant accounts see the ads, maximizing your spend.

5. Granular Targeting:

Instead of running broad campaigns, Factors lets you laser-focus on companies that show strong engagement signals, like viewing key product pages or engaging with LinkedIn ads. This way, you can optimize your ad spend, knowing that your ads are reaching only the most qualified leads. It allows for strategic bidding and a more efficient allocation of your budget.

Google Ads provides a versatile platform for businesses to boost online visibility and drive targeted traffic.

1. Key Ad Formats: Includes Search Ads, Display Ads, Shopping Ads, Video Ads, App Ads, Local Service Ads, Smart Ads, and Discovery Ads.
2. Benefits: Immediate visibility, precise targeting, flexible budgeting, retargeting capabilities, performance tracking, and a competitive edge.
3. Enhancement with Factors.ai: Integrating with tools like Factors.ai enables precision retargeting, account-based segmentation, granular targeting, and data-driven insights.
Maximizing ROI through these capabilities helps B2B marketers optimize their campaigns for higher efficiency and effectiveness.

In a nutshell

Google Ads is essential for businesses looking to increase their online presence, drive targeted traffic, and generate quality leads. You can reach your target audience across multiple platforms and formats with different types of ads—from Search to Shopping, Display, Video, and beyond. The benefits of Google Ads are vast, including precise targeting, measurable ROI, flexibility in budgeting, and immediate visibility. Whether you're a small business trying to boost local visibility or a large enterprise looking for comprehensive brand awareness and conversions, the benefits of Google Ads offer a scalable and versatile platform for you. All you’ve got to do is log in to your Google Ads account and get started!

Moreover, incorporating Factors into your Google Ads strategy goes beyond the typical audience segmentation options provided by Google Ads, bringing account-level intelligence into the mix. It’s particularly beneficial for B2B marketers who need more granular control over targeting and messaging, ensuring that every dollar spent on Google Ads delivers maximum impact.

If you’re ready to reap the benefits of Google Ads and take their performance to the next level, contact us and explore Factors' powerful capabilities.

Understanding an ABM Funnel

TL;DR

What is an ABM Funnel?

Traditional Funnel vs. ABM Funnel

ABM Funnel Stages

Stage 1: Account Selection and Identification

How to Identify Target Accounts

Ideal Customer Profiles (ICPs)

Stage 2: Engagement and Outreach

Personalized Content for Decision-Makers

Multi-Channel Engagement

Stage 3: Nurturing and Relationship Building

Nurturing Accounts with Customized Content

Some nurturing tactics include:

Stage 4: Conversion

Closing the Deal

Conversion strategies may include:

Measuring Conversion Success

Stage 5: Retention and Expansion

Retention Strategies

Expansion and Advocacy

Why Factors is Essential for ABM Success

1. AdPilot by Factors.ai: Optimizing LinkedIn Ads for ABM

2. Segments: Data-Driven Insights for Precise Targeting

Key Features of Segments include:

3. Workflows: Automating Your ABM Process

In a Nutshell

Marketing Performance Measurement - Challenges & Solutions

Marketing Performance Marketing - A Tale of Two Meetings

Meeting 1: In the C-Suite

Challenge With Marketing Performance Measurement

Challenges for C-level Executives in Assessing Marketing Performance

1. Proving Marketing ROI and Influence on the Pipeline

2. Justifying Marketing Investments

3. Improving Budgeting and Resource Allocation

4. Aligning Marketing Efforts with Overall Business Goals

5. Interpreting Marketing Data and Its Impact on Customer Experience

Example: Adidas' Data-Driven Attribution Success Story

So, how did Adidas address this challenge?

The Results:

Challenges for Marketing Teams in Evaluating Performance

1. Measuring and Analyzing Efforts

2. Attribution Modeling and Performance Reporting

3. Demonstrating ROI and Proving Campaign Effectiveness

4. Allocating the Approved Budget Across Initiatives

5. Picking the Right Channels

6. Unifying Reporting

Measuring the Influence of Touchpoints in Unison

Example: OneSpot's Attribution Modeling Revolution

Bridging the Gap: Strategies for Improved Measurement

1. Educate and Equip

2. Set Clear Objectives

3. Regular Reviews and Alignment

4. Innovation Budget

5. Enhance Data Collection

6. Focus on Customer Journey Mapping

7. Collaborative Reporting

8. Continual Learning

Bridging the Gap for Optimal Performance

Measuring marketing performance is critical for aligning strategy with business goals and maximizing ROI. However, several challenges often hinder accurate and actionable measurement:

Accurately Measure LinkedIn Ad Conversions: Conversion API

TL;DR

The Problem: Third-Party Cookie Deprecation

Issues with Data Loss and Campaign Optimization

Consequences for Marketers

How CAPI Solves the Problem

Key Benefits of CAPI

Use Case: B2B Marketing Campaign

Use Cases

Accurate Conversion Event Tracking

Self-Optimizing Campaigns

Improved Ad Targeting and Personalization

Seamless Integration with Marketing Ecosystem

In a nutshell

Top 10 Dealfront Competitors & Alternatives

TL;DR

Let’s Learn A Little About Dealfront (Leadfeeder)

Overview:

Key Features:

Pros:

Pricing:
Dealfront’s pricing starts at around $55/month for small teams, but larger teams or businesses with more visitors may face higher fees based on their lead volume.