Prooflytics
Marketing Analytics Blog
Benchmarks, attribution frameworks, and platform guides for performance marketers. How to diagnose, decide, and act — without the dashboard fatigue.
- Strategy
MOFU Metrics: What to Measure in the Middle of the Funnel
MOFU is where most B2B funnels lose control - leads enter but progress visibility disappears. The five middle-of-funnel metrics that tell you whether your consideration stage is working or leaking, and how to act on each one.
8 min read - Strategy
Why Branded Search Volume Is Your Best Leading Indicator for Pipeline
Branded search volume predicts pipeline 1-3 quarters before it shows up in CRM data. How to track it in Google Search Console, what triggers a decline, and how to act before revenue numbers confirm what the trend already showed.
8 min read - Strategy
Share of Voice in Marketing: How to Measure It Across Every Channel
Share of voice measures what percentage of total market attention your brand captures versus competitors, tracked per channel. How to calculate it, where to find the data, and when to act.
8 min read - Strategy
Five Types of Marketing Activity: A Classification Framework for Budget and Measurement
Every marketing budget line can be classified into one of five categories: Sales Stimulation (short-term revenue), Branding and Awareness (long-term perception), Customer Relationship (retention and loyalty), Market Development (shaping demand before customers recognize it), and Infrastructure and Capabilities (the analytics and technology base). The classification matters because each category has a different measurement approach, time horizon, and risk profile -- and confusing them leads to measuring the wrong things and cutting the wrong budgets.
11 min read - Strategy
AI Marketing Tools: Why Performance Gains Are Concentrated in Google and Meta, Not Open Web
A Taboola survey of 200 senior marketers in May 2026 found that 76% report meaningful performance gains from agentic AI tools -- but those gains are concentrated in walled-garden platforms like Google Ads and Meta. Open web programmatic channels show minimal AI-driven improvement. The reason: AI optimization models train on first-party signal-rich environments where platforms control data and feedback loops.
10 min read - Strategy
Google Says Users Prefer AI Search. The Survey Evidence Is Less Clear.
Google regularly cites a Google/Ipsos survey as evidence that users prefer AI-powered search. SEO analysts have challenged the methodology, pointing to data gaps that inflate AI search preference claims. Before making channel strategy decisions based on this data, performance marketers should understand what the survey actually measures.
9 min read - Strategy
Google AI Search Is Building a Two-Tier Internet: Where B2B Marketers Stand
A study of 44 major US publishers found aggregate organic search traffic rose 5% after AI Overviews, but nearly all gains went to institutional brands. B2B content marketing teams in the middle tier are experiencing the opposite - structural traffic erosion with no algorithmic remedy.
8 min read - Strategy
AI Search Sends Clicks to Local Domains, Not Global Brands: What 87 Million Visits Show
An analysis of 87 million AI search visits across 10 markets found that clicks from AI-generated answers go to local domain variants, not global brand defaults. For performance marketers, this changes the geo-targeting and domain strategy calculus.
7 min read - Strategy
Website Traffic Is Down 46%: What the Zero-Click Era Means for Marketers
Web traffic to brand and publisher websites has declined 46% over three years. AI search results, social feeds, and answer engines now satisfy user intent without a click. Performance marketers who keep optimizing for traffic volume are measuring the wrong thing. The shift is structural, and the channel mix that worked in 2022 no longer works today.
9 min read - Strategy
Google Traffic Dependency: The Hidden Revenue Risk in Single-Channel Marketing
Future PLC reported a 67% profit decline in H1 2026 while remaining 60%+ dependent on Google search traffic. The company is not unique. When a single platform controls the majority of your acquisition, one algorithm update rewrites your cost structure. Here is how to measure channel concentration risk and what diversification actually requires.
9 min read - Strategy
Hard vs Soft Audience Segmentation: The Framework Paid Media Teams Actually Need
Hard segmentation tells you who your customers are based on economic data. Soft segmentation tells you why they buy. Using only one produces expensive campaigns with mediocre results. Here is how to apply both layers in Meta Ads and Google Ads.
7 min read - Strategy
Building a Growth Marketing Team on a Startup Budget: The 3-Phase Hiring Framework
AI has made marketing execution roughly 70% cheaper. A four-person team with the right direction now outperforms a ten-person team with the wrong direction. Here is a three-phase hiring framework with specific budget ranges (Phase 1: $15-25K/month, Phase 2: $35-60K/month) and a tool stack that delivers $8-12K of monthly capacity for $1.5-3K in costs.
11 min read - Strategy
Reuters and Time Block AI Crawlers by Default: What the Allowlist Shift Means
Reuters and Time adopted allowlist-by-default AI crawler policies in May 2026, blocking all bots except a pre-approved set. People Inc. expanded its blocked user agents from approximately 2,100 to over 30,000 after the switch. A Tollbit report found 30% of total AI bot scrapes did not comply with explicit robots.txt permissions. Here is how the publisher AI blocking trend affects content strategy and AI visibility.
9 min read - Strategy
CMO vs CIO: The $40B AI Agent Accountability Gap in Enterprise Marketing
AI agent activity increased 150% month-over-month from November 2025 to March 2026. 88% of search visits are now AI agents. A survey of 1,000 enterprise leaders found 75% lack a documented plan and 72% report marketing owns AI agent responsibility without ever being formally handed it. The $40B opportunity at stake requires resolving who owns what between the CMO and CIO.
10 min read - Strategy
The AI Convergence Problem: Why Marketing Is Starting to Sound the Same
A Columbia and MIT study named it the Basic Effect: LLM agents shift people's choices toward more popular options, reducing behavioral distinctiveness. A Science Advances study found generative AI enhances individual creativity but reduces collective diversity. When every team uses the same tools on the same inputs, outputs converge. Here is what that means for brand strategy and where the asymmetric inputs come from.
9 min read - Strategy
How to Measure AI Search Impact on Marketing KPIs
AI search disrupts click-based traffic measurement but does not make marketing performance unmeasurable. Three approaches work in 2026: AI Visibility Tracking (citations and brand mentions in AI outputs), KPI replacement for click-based metrics, and revenue connection via incrementality testing. Here is how to implement each.
9 min read - Strategy
How AI Forms Brand Opinions: The UCD Framework Explained
AI systems form brand opinions from five distinct data streams. One of them (OPID: reviews, support transcripts, case studies, methodologies) carries disproportionate weight. Here is the UCD framework for Understandability, Credibility, and Deliverability, and what it means for how your brand appears in ChatGPT, Perplexity, and Google AI Overviews.
9 min read - Strategy
LinkedIn Content and AI Search Citations: What 325,000 Prompts Show
LinkedIn is the second-most cited domain in AI search results, just behind Reddit. Semrush studied 325,000 prompts and 89,000 LinkedIn URLs. Company pages drive 59% of citations in Perplexity. Individual creators drive 59% of citations in ChatGPT and Google AI Mode. Structure and posting frequency matter more than likes.
8 min read - Strategy
GDPR and Customer Match: What the €1.85M Elkjop Fine Means for Google Ads
Norway's DPA fined Elkjop €1.85M in June 2026 for four violations: bundled consent for loyalty data, Customer Match upload without a compatibility assessment, insufficient legitimate interest documentation for offline conversions, and systematic data subject rights delays. Here is what each violation means for Google Ads teams using Customer Match and offline conversion imports.
9 min read - Strategy
2026 ABM Benchmark: What 84% of B2B Revenue Teams Are Actually Doing
The 2026 ABM Benchmark Survey finds that 84% of B2B organizations use account-based marketing to drive revenue, with 56% focused on new account acquisition and 47% integrating ABM directly with demand generation. Here is what the data reveals about how B2B growth teams are structuring their programs.
9 min read
