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Mind the Gap: How to Fix Discrepancies in Your Marketing Reports
Marketing data often contains gaps that can make it difficult to fully understand performance. For example, Google Analytics numbers may not align with revenue in the CRM.
One platform may report more revenue than another, while actual sales are lower. In other cases, analytics may underreport performance, even when customers consistently indicate exposure to multiple marketing touchpoints before converting.
These gaps are not minor. Industry data indicates that cookie-based tracking can miss 15–20% of conversions due to privacy changes and the decline of third-party cookies. Ad platforms may over-attribute conversions because each platform tracks independently.
Traditional analytics often focus on last-click attribution, overlooking upper-funnel activities that contribute to conversions.
Incomplete measurement can make it challenging to allocate budgets with confidence. Without clear visibility into what drives revenue, organisations may:
Accurate measurement is essential for connecting marketing activities to revenue, optimising investments, and supporting strategic growth. Organisations that address these gaps are better positioned to make informed decisions and scale effectively.
Reporting gaps often arise from structural limitations in the modern measurement ecosystem.
Many analytics and ad platforms, including Google Analytics, default to last-click attribution. This method assigns 100% of credit for a conversion to the final touchpoint before a sale, while prior interactions are not accounted for.
For example, a customer might engage with LinkedIn ads, read multiple blog posts, attend a webinar, and interact with an email campaign before converting through a Google Search ad. Last-click attribution assigns all credit to the final Google Search interaction, which can underrepresent the impact of upper-funnel awareness activities.
The phase-out of third-party cookies has created significant gaps in tracking. Safari and Firefox already block third-party cookies, and Chrome is in the process of phasing them out. iOS privacy updates also reduce the trackable portion of mobile traffic.
As a result, cross-device and multi-session conversions are often missed. Estimates suggest that 15–20% of conversions may be lost due to cookie limitations. In long sales cycles, initial engagement may occur weeks or months before conversion, by which time tracking cookies may no longer be active.
Ad platforms report conversions independently. For example, one platform may attribute £50,000 in revenue, another £40,000, and a third £20,000, while actual revenue is £60,000. This occurs because each platform measures conversions within its own ecosystem, sometimes including view-through conversions, where a user sees an ad but does not engage directly. This can result in overlapping attribution.
Analytics primarily track clicks, which indicate deliberate engagement, while impressions, exposure to ads or content, are often unmeasured.
Related: Understanding the difference between click and impression measurement and what to trust
Impressions can influence customer behavior even without direct engagement, but they require different measurement approaches than clicks. Accurate assessment of marketing impact depends on considering both types of interactions.
GA4 addresses some gaps from Universal Analytics but still has limitations:
Related: 8 limitations of Google Analytics 4 and how to overcome them
As a result, even modern analytics platforms provide only a partial view of performance, particularly for upper-funnel awareness activities and cross-device journeys.
Measurement gaps have tangible effects on decision-making, resource allocation, and growth planning.
When reports show a high ROAS but do not account for duplicated conversions or conversions that would have occurred through other channels, it becomes difficult to make confident investment decisions. Without clarity, scaling channels that appear to perform well can be uncertain.
Related: ROAS and marginal ROAS benchmarks by ad platform
This uncertainty can slow decision-making, while competitors with more complete measurement may be able to respond faster and capture additional market share.
Measurement gaps can also result in over-investment. For example, a platform may report consistently high ROAS, leading to increased spend. However, actual incremental revenue may fall short if multiple platforms are claiming credit for the same conversions.
In this scenario, cost-per-acquisition can be significantly higher than reported, and budgets may be consumed without generating proportional revenue. When replicated across multiple channels, over-attribution can lead to substantial inefficiencies.
Last-click attribution tends to undervalue awareness and upper-funnel channels. As a result, investment is often concentrated on bottom-funnel activities targeting in-market audiences.
Industry patterns suggest that many B2B organisations allocate the majority of their budgets to lower-funnel channels. This approach limits exposure to potential customers earlier in the buying journey, which can constrain long-term growth and reduce the overall addressable audience.
Measurement gaps can also affect broader organisational confidence in marketing performance. Without a clear understanding of which activities are driving revenue, executives may hesitate to approve aggressive growth initiatives. This can limit overall investment in marketing and reduce opportunities to scale effectively.
Accurate, unified measurement enables more informed investment decisions, supports strategic growth, and improves alignment between marketing performance and organisational objectives.
Addressing reporting gaps requires improvements in both measurement systems and decision-making processes. The objective is not perfect accuracy, but rather sufficient clarity to make confident investment decisions.
A key approach is to move from fragmented, platform-specific reporting to a unified measurement framework that:
This approach provides a more accurate and comprehensive understanding of marketing performance, enabling informed decisions and more effective allocation of resources.
Different types of marketing activities require tailored measurement approaches to accurately assess their impact.
For channels where users actively engage, such as paid search, email clicks, organic search, and direct traffic, multi-touch attribution can track clicks across the customer journey and allocate credit based on actual engagement. This provides a clearer understanding of which interactions contributed to conversions.
For channels focused on exposure, such as display advertising, social media awareness campaigns, and upper-funnel content, modeling approaches can estimate the lift or impact of impressions without attributing conversions to any single interaction.
Related: How to measure top of the funnel marketing and brand awareness
This avoids creating false precision while still capturing the influence of awareness activities.
Clicks indicate user intent, whereas impressions represent exposure. A click demonstrates deliberate engagement, while an impression may contribute to overall influence. Measurement approaches should reflect this difference to accurately evaluate the contribution of each channel.
The CRM or e-commerce system provides the definitive record of revenue and should serve as the foundation for all measurement.
Steps to establish a baseline:
Interpreting the results:
These comparisons provide a clear baseline of current measurement accuracy. Significant discrepancies indicate the need for a more comprehensive and unified measurement approach to ensure reliable insights and informed investment decisions.
Even with better measurement, you need to change how you use data to make decisions:
Consider the case of an e-commerce company that discovered massive reporting gaps and changed their entire approach:
The company was scaling Facebook advertising based on strong in-platform ROAS numbers showing 7-8x returns. But when the finance team looked at actual bottom-line profitability, the math didn’t add up. They were spending more on Facebook but profit margins were actually shrinking.
When they started digging into the data, they found:
The tipping point was when they tried to aggressively scale based on the strong Facebook ROAS numbers. As spend increased, the gap between claimed performance and actual results became impossible to ignore. They were hemorrhaging money.
This led them to:
With this, they discovered:
This led to a complete reallocation of budget. They reduced Facebook spend to profitable levels, increased investment in channels that were truly driving incremental value, and started investing more aggressively in upper-funnel activities now that they could properly measure their contribution.
Most importantly, they regained confidence in their ability to make decisions. The CMO could walk into budget meetings with the CFO and justify investments with data everyone trusted.
Marketing went from being seen as a cost center with questionable returns to a growth driver with predictable, measurable impact.
Gaps in marketing reports aren’t a minor technical problem, they’re a strategic crisis that undermines your ability to grow confidently.
When you can’t trust your data, you can’t scale what works, you waste budget on duplicated conversions, and you lose the confidence of your executive team.
The solution isn’t to throw up your hands and declare measurement impossible. It’s to:
Companies that solve their measurement problem don’t just get better reports, they get the confidence to make bigger, faster investment decisions that drive real growth. They stop second-guessing every budget decision and start scaling aggressively based on data they trust.
The question isn’t whether your reports have gaps, they almost certainly do. The question is whether you’re going to fix them before those gaps cost you another quarter of missed growth opportunities.
