Prooflytics
Marketing Analytics Blog
Benchmarks, attribution frameworks, and platform guides for performance marketers. How to diagnose, decide, and act — without the dashboard fatigue.
- Analytics
Why ROI Is the Wrong Metric for Brand Campaigns (And What to Measure Instead)
When the CFO asks for ROI on brand campaigns, the correct answer is not "we can't measure it" -- it is "ROI is the wrong metric for this type of spend." Return on Investment is methodologically valid only for direct-response marketing where the lag between action and purchase is days, not months. Applying it to brand campaigns produces misleading conclusions and causes marketers to cut the spending that protects future acquisition costs.
10 min read - Analytics
Content Performance Measurement: The Right KPIs Beyond Pageviews
Pageviews measure traffic volume, not content performance. A blog post can accumulate 50,000 views while contributing zero pipeline, because it ranks for informational queries that never convert. Measuring content performance requires tracking engagement depth, SEO momentum, assisted conversions, and content ROI -- not just raw traffic numbers.
10 min read - Analytics
GA4 User Metrics Explained: New vs. Returning Users, Sessions, and Active Users
GA4 counts users differently from Universal Analytics. New users, returning users, active users, sessions, and engaged sessions all measure something distinct -- and tracking the wrong one leads to wrong acquisition vs retention decisions. Here is what each metric counts and when to use it.
9 min read - Analytics
Marketing Analytics Maturity: 5 Levels and How to Move Between Them
Most marketing teams sit at Level 1 or 2 of analytics maturity -- reacting to dashboards rather than driving decisions. Understanding where your team is and what the next level requires is the fastest way to improve how marketing intelligence gets used. Here is the full five-level framework with practical diagnostic tests.
9 min read - Analytics
AI Chatbot Traffic in GA4 2026: How to Track What Direct Is Hiding
Traffic from ChatGPT, Perplexity, Claude, Gemini, and Copilot is landing in your GA4 as Direct or Referral with no channel label. It is a real and growing acquisition channel, and GA4 has no built-in definition for it. Here is how to set up the filter and the custom channel group to surface it.
8 min read - Analytics
Cohort Analysis for Marketers: Connecting Acquisition Channels to Customer LTV
Cohort analysis reveals which acquisition channels produce customers who stay longest and spend the most. Reichheld's rule: a 5% reduction in churn lifts profit 25-100%. The channel with the highest CPL may still be your most profitable if its cohorts churn less.
9 min read - Analytics
Data-Driven Attribution in GA4: The Three Channel Reports Explained
GA4 has three separate channel group parameters that each return different conversion numbers for the same channel. Most teams are making budget decisions from the wrong one. Here is what each parameter means and when to use it.
8 min read - Analytics
How to Calculate Marketing ROI: Formula, Benchmarks, and Common Mistakes
Marketing ROI measures the revenue return on every dollar of marketing spend. The formula is straightforward; the mistakes in applying it are not. Most teams calculate the wrong denominator, use the wrong revenue figure, or confuse ROAS with ROI.
8 min read - Analytics
Why Meta Ads and GA4 Show Different Conversion Numbers
Meta Ads reports 120 purchases. GA4 reports 74. Both are correct — they are measuring different things. Understanding the gap is not optional when you are making budget decisions from either number.
8 min read - Analytics
Descriptive, Predictive, and Prescriptive Analytics in Marketing
Most marketing teams live in Layer 1 — they know what happened yesterday. The competitive advantage lives in Layers 2 and 3: knowing what will happen next and what to do about it.
8 min read - Analytics
GA4 Session Conversion Rate vs User Conversion Rate: Which One to Use
GA4 reports two different conversion rates for the same data. Session CR and User CR have different denominators and different answers. Using the wrong one produces the wrong diagnosis.
7 min read - Analytics
Data-Driven Attribution Model Explained: How It Works in GA4 and Google Ads
Data-driven attribution uses machine learning to distribute conversion credit across touchpoints based on their actual contribution — not their position in the path. Here's how it works, where GA4 hides it, and when it gets attribution wrong.
12 min read - Analytics
Cohort Analysis for Marketers: GA4 Setup, LTV Calculation, and Retention Patterns
Cohort analysis groups users by when they first converted and tracks how their behavior changes over time. It answers the question no attribution report can: are customers acquired this month worth more or less than customers from last month — and why?
11 min read - Analytics
TikTok Attribution 2026: Fix GA4 Mismatch and Set Up Attribution Portfolio
TikTok and GA4 show different conversion numbers because they use different attribution models. TikTok's Attribution Portfolio (May 2026) introduces native GA4 integration and assisted conversion tracking — here's why the gap exists and exactly how to close it.
11 min read - Analytics
Why Your Funnel Report Hides the Real Bottleneck
Blended funnel metrics are averages that describe no actual segment. SEO leads convert to SQL at 51%; PPC at 26%. Aggregated together they produce a number that defends every bad budget decision. Why segmentation reveals what aggregates hide.
9 min read - Analytics
Why Your A/B Tests Produce Noise, Not Signal
41.4% of A/B tests claim significance with insufficient statistical power. Of those, only 28.4% replicate at full traffic. Most marketing A/B tests do not measure what teams believe they measure. Why underpowered tests produce inflated effects and what to do instead.
10 min read - Analytics
The Looker Studio Dashboard Trap (and When to Outgrow It)
Looker Studio is free and accessible, which is why most marketing teams default to it. The trap is structural: 100K row caps, unreliable blending past 3-4 sources, no native alerting, no row-level security, and performance degradation that hits at 6-12 months for any growing team. When to use Looker Studio and when to outgrow it.
10 min read - Analytics
The MQL Trap: Why MQLs Make You Optimize the Wrong Things
The MQL is the most widely tracked B2B SaaS metric and the most weakly correlated with revenue. Marketing optimizes for MQL volume, sales drowns in low-intent contacts, pipeline stays flat. Why the 2026 leading teams have replaced MQLs with SQLs, pipeline velocity, and PQL signals.
9 min read - Analytics
Why Blended ROAS Is Lying to You (and What to Track Instead)
Blended ROAS combines new and returning customer revenue into one number, inflating ad efficiency by 30-40%. A 4x blended ROAS often hides a sub-1.5x new-customer ROAS. Why the metric fails DTC operators and what the 2026 stack tracks instead.
9 min read - Analytics
The Vanity Metrics Trap in Marketing Dashboards (and How to Escape)
Vanity metrics (impressions, likes, page views, email opens) feel productive but produce zero budget decisions. 87% of marketers say data is critical but only 32% trust their own. The three-question test that separates actionable KPIs from vanity, and the migration to a metrics-that-matter dashboard.
10 min read
