Prooflytics
Marketing Analytics Blog
Benchmarks, attribution frameworks, and platform guides for performance marketers. How to diagnose, decide, and act — without the dashboard fatigue.
- 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 - Platform
MailerLite Marketing Analytics: Email Performance and Campaign Data in Your Daily Briefing
Connect MailerLite to Prooflytics and see campaign performance, subscriber growth by acquisition channel, and e-commerce email revenue in your daily briefing - beyond MailerLite's own reports.
7 min read - Platform
ConvertKit (Kit) Marketing Analytics: Subscriber and Revenue Data in Your Daily Briefing
Connect ConvertKit (Kit) to Prooflytics and see subscriber growth by acquisition channel, sequence completion rates, and commerce revenue alongside your paid media spend - not just opens and clicks.
7 min read - Platform
Drip Marketing Analytics: Email Revenue and Workflow Data in Your Daily Briefing
Connect Drip to Prooflytics and see revenue per workflow, cart abandonment recovery rates, and subscriber acquisition by marketing channel - not just open rates.
7 min read - Platform
ChatGPT Ads for Performance Marketers: Channel Reality Check (2026)
ChatGPT Ads launched self-serve in May 2026 with $3-5 CPC and no minimum spend. Here is what the attribution data actually shows and how to evaluate the channel before committing budget.
8 min read - Strategy
The 'We Need More Data' Delusion in Marketing Analytics
Teams that say 'we need more data' before deciding are usually deferring a decision they already have enough data to make. Analysis paralysis costs 34% slipped deals and 20% longer sales cycles. The framework for deciding when more data actually helps and when it is procrastination.
10 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 - Operations
The Marketing-Sales Handoff Failure Pattern in B2B SaaS
53% of B2B companies have broken marketing-sales handoffs. 44% of leads are never contacted. Average MQL-to-first-touch time is 39 hours, 78x slower than the 5-minute optimal. Why the handoff fails structurally and the 90-day fix that recovers 67% pipeline lift.
10 min read - Operations
Why Retargeting Eats Your Acquisition Budget (and Hides It in ROAS)
Retargeting reports the highest ROAS of any paid channel because it captures users who already wanted to convert. The actual incremental revenue is often 30-60% lower than reported. Why retargeting cannibalizes acquisition budget and the incrementality test that surfaces the gap.
10 min read - Operations
The 'Add Tracking Later' Trap (Why Marketing Instrumentation Is Never Optional)
Every team that says 'we'll add tracking later' produces 6-12 months of marketing decisions made on incomplete data. Tracking debt compounds: undocumented events, missing identifiers, broken attribution windows. Why launching without instrumentation creates permanent damage and the pre-launch checklist that prevents it.
11 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 - Platform
Why Smart Bidding Does Not Save Bad Google Ads Campaigns
Smart Bidding optimizes against the conversion signal you give it. Bad conversion tracking, weak creative, and misconfigured audiences produce a bidding algorithm that efficiently spends budget on the wrong outcomes. Why teams blame the algorithm instead of the inputs, and the audit that fixes the root cause.
10 min read - Strategy
The More-Channels-More-Pipeline Fallacy in B2B SaaS
B2B SaaS teams add channels to scale pipeline. Each new channel produces lower marginal returns than the last. 6-month median outcome: 3x channels, 1.2x pipeline, 2.5x operational overhead. Why channel proliferation fails and the concentration alternative.
9 min read - Operations
Why Optimizing CTR Kills Your CPA (the Clickbait Trap)
CTRs are up 7.5% year-over-year in 2026 while conversion rates are down 9.3%. Teams that optimize for CTR alone produce clickbait creative that generates traffic and zero buyers. Why the metric misleads paid media operators and what to optimize for instead.
10 min read - Strategy
The Discount Dependency Death Spiral in DTC (and How to Exit)
Every promotional discount comes directly off gross margin. A 20% sitewide sale on 50% margin product halves order profitability. Why DTC brands get trapped, the math behind margin erosion, and the 90-day exit playbook.
10 min read - Attribution
Why First-Touch Attribution Misleads B2B SaaS (the Mirror Problem to Last-Click)
First-touch attribution gives 100% credit to the awareness channel and zero to the channels that close deals. A team that triples content budget based on first-touch typically sees pipeline drop 30-40% because nurture and conversion channels get starved. Why the model fails in B2B and what works instead.
9 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
