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Why keep Google Analytics with Incomplete Data?
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Why keep Google Analytics with Incomplete Data?

Google Analytics remains the default analytics platform for most websites. It is familiar, widely used, easy to work on collaboratively and generally accepted as a legitimate source of performance data across the M&A space. But it has a rather large problem: Google Analytics data is almost always incomplete. For some businesses, the missing data is small enough to ignore. For others, it can significantly distort how the business understands its audience, traffic, conversions and growth. Once you’re made aware of this gap the problem begs the question:

Why Google Analytics Misses Conversions
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Why Google Analytics Misses Conversions

Google Analytics is widely used as the default reporting layer for websites, lead generation funnels and ecommerce journeys. That makes it useful, but it also means many teams assume that recorded conversions represent the full picture. We’ve never seen a standard Google Analytics installation which had a perfect 100% account record of conversions and attribution. This article explains how Google Analytics can miss conversions, where the gaps usually come from and how to separate setup issues from platform limitations. It also gives you the practical advice from our years of consulting: if conversion events are correctly implemented, a meaningful share of missing conversions are lost due to blocked analytics, session handling limitations and attribution loss.

An Alternative to Lead Forensics: Different Approaches to B2B Traffic Visibility
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An Alternative to Lead Forensics: Different Approaches to B2B Traffic Visibility

Many B2B teams want to know who is engaging with their website, which content is being viewed and how that activity should feed into sales and reporting. The difficulty is that most website analytics setups miss part of that picture, particularly when audiences use ad blockers, privacy tools, VPNs or restricted corporate networks. There’s a better way. This article compares Truly Analytics and it’s major features Network Intelligence, Event Hooks and Traffic Recovery with Lead Forensics. It will explain what each approach is designed to do, where they differ in implementation and reporting and why Truly Analytics is often the more practical option for teams that want to keep Google Analytics as their main analytics reporting layer while adding organisation-level visibility and CRM-ready event flows.

Enhanced Publisher Analytics: Privacy-Respecting Audience Targeting Without Personal Tracking
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Enhanced Publisher Analytics: Privacy-Respecting Audience Targeting Without Personal Tracking

The future of publisher advertising is not bigger audiences - it’s better audience proof, engagement and visibility. Advertisers still want targeting. They still want to reach decision-makers, specialist buyers, policy audiences, industry professionals, wealthy consumers, technical teams, regional markets and niche communities. But the way publishers prove that audience has changed. The market is moving away from easy yet creepy and questionable third-party tracking1 and toward privacy-by-design measurement. IAB’s 2024 State of Data report found that 95% of advertising and data decision-makers at brands, agencies and publishers expected continued signal loss and privacy legislation. About 90% of ad buyers were also changing personalisation tactics because of privacy constraints and signal loss.

Measuring, Managing, Improving and Recovering Analytics for Publishers
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Measuring, Managing, Improving and Recovering Analytics for Publishers

For publishers, analytics is not a reporting layer, it’s the commercial reporting layer. Publishers use it to prove readership, demonstrate audience growth, sell advertising, price direct campaigns, support sponsorships, justify partnerships, understand editorial performance and show the public and the market that their publication has influence. It’s also how publishers measure up against each other. Analytics is a core part of how a publisher proves value. If the audience is undercounted, the publisher is not just missing a metric, they’ll be underselling their reach, weakening their media kit, misjudging editorial performance and leaving revenue on the table.

Truly Analytics vs Google Analytics
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Truly Analytics vs Google Analytics

In this article we compare Truly Analytics vs Google Analytics as a comparison between the two products. As supporting software to Google Analytics, Truly Analytics actually supports Google Analytics and fixes a lot of the shortcomings of the product without replacing Google Analytics entirely. This article will help clarify how Truly Analytics works and how it restores your actual traffic into Google Analytics whilst providing you with enhanced privacy controls and funnel integration.

How to Turn Your Analytics System Into a Lead Generation Engine
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How to Turn Your Analytics System Into a Lead Generation Engine

Analytics tools have traditionally been used as measurement systems. They tell you how many people visited your website, which pages they viewed, which channels sent traffic and how your digital assets are performing at a broad level. Mostly they link back to advertising confirming how you spent money. They rarely ever show you how you can make money. For many businesses, analytics sits in one system, while lead generation, CRM, sales follow-up, account management and revenue tracking sit elsewhere. One platform tells you that activity happened whilst another separate set of systems handle the commercial process. The gap between the two loses untold amounts of business.