Prooflytics
Marketing Analytics Blog
Benchmarks, attribution frameworks, and platform guides for performance marketers. How to diagnose, decide, and act — without the dashboard fatigue.
- strategy
Server-Side Tagging for Marketers: What It Is and When You Actually Need It
Server-side tagging moves tracking from the browser to your own server, bypassing ad blockers, improving data quality, and reducing privacy risk. Here is when it is worth the implementation complexity -- and when client-side tracking is still fine.
9 min read - strategy
Dark Social Measurement Guide: What B2B Marketers Are Missing
Dark social is the traffic that comes from links shared in private channels -- Slack, email, WhatsApp, Teams. It shows up as direct in GA4. For B2B brands, it is often the largest untracked source of high-intent traffic.
10 min read - strategy
Social Media Analytics for In-House Marketing Teams: Which Metrics Actually Matter
Platform-native social dashboards show you engagement. They do not show you pipeline. Here is how in-house marketing teams should set up social media analytics to track what actually matters -- from brand awareness to revenue attribution.
8 min read - strategy
Salesforce Marketing Cloud Alternatives 2026: What B2B Teams Actually Switch To
SFMC starts at $3,000-5,000 per month for mid-market. Most B2B SaaS teams switching from it land on HubSpot Marketing Hub or Iterable. Here is how to choose -- and what the right infrastructure investment looks like at your stage.
9 min read - Strategy
First-Party Data Strategy for B2B Marketing in 2026
70% of B2B marketers plan to increase first-party data use in 2026, driven by platform tracking restrictions and the deprecation of reliable third-party signals. For B2B SaaS teams, first-party data strategy differs significantly from B2C and ecommerce: your data points are account-level, your sales cycle is measured in weeks, and your conversion events are rarely single-session. This guide covers what to collect, how to activate it, and how to close the measurement loop.
12 min read - Tools
Multi-Touch Attribution Software in 2026: A Guide for In-House Teams
Multi-touch attribution software adoption climbed from 31% in 2023 to 47% in 2026. But most MTA platforms were built for enterprise teams with dedicated data analysts. This guide compares the leading options specifically for in-house marketing teams of 1-3 people who need channel attribution without a BI team to implement or interpret it.
11 min read - Analytics
Attribution Models Compared: Which One Fits Your Business in 2026
First-touch, last-touch, linear, time decay, position-based, and data-driven attribution models each answer a different question about your marketing. The right model depends on your sales cycle length, your channel mix, and what decision you're trying to make. This guide compares each model with concrete examples, shows when each misleads, and explains why GA4 shows different attribution numbers in different reports.
11 min read - Analytics
How to Track AI Citation Traffic in GA4 (2026)
GA4 added a native 'AI Assistant' channel in May 2026 that captures clicks from ChatGPT, Gemini, and Claude when the referrer is intact. But 35–70% of AI citation traffic still lands in Direct because most AI apps strip referrer headers. This guide covers both the native channel setup and the custom channel group you need to stop underestimating AI-driven visits.
9 min read - Tools
Databox Alternatives for In-House Marketing Teams in 2026
Databox's free plan is limited to 3 data sources and 1 user. In 2026 they added an Analyst plan at $79/mo (5 sources, 1 user); the Pro tier for unlimited users is $199/mo. This guide compares five alternatives - Prooflytics, Looker Studio, DashThis, Geckoboard, and Porter Metrics - with accurate 2026 pricing.
12 min read - Analytics
Best TapClicks Alternatives for Agencies and Performance Teams in 2026
TapClicks is a marketing technology platform built for large agencies managing campaign reporting, order management, and analytics for dozens of clients simultaneously. Its enterprise feature set and pricing reflect that scale. For mid-market agencies, smaller teams, and in-house marketing departments that want reporting automation or marketing intelligence without the overhead, these six alternatives offer a better fit in 2026.
9 min read - Analytics
Best Klipfolio Alternatives in 2026: After the Pivot to PowerMetrics
Klipfolio launched PowerMetrics as its next-generation analytics product, shifting focus from the original Klips dashboard builder that many teams built their reporting workflows around. Teams evaluating what to do with their Klipfolio-based stack have six strong alternatives in 2026, covering everything from simple dashboard setup to agency client reporting and AI-powered marketing intelligence.
9 min read - Analytics
Best Looker Studio Alternatives for Marketing Teams in 2026
Looker Studio is free, connects to hundreds of sources, and produces professional-looking dashboards. It also requires connector management, offers no AI layer, and delivers reports that show what happened with no guidance on what to do next. For in-house marketing teams and agencies that need more than a free BI viewer, these six alternatives cover every use case from simple client dashboards to AI-powered daily intelligence.
10 min read - Analytics
Best Whatagraph Alternatives in 2026: Agency Reporting vs. Marketing Intelligence
Whatagraph is built for agencies that produce polished client reports at scale -- pre-built templates, 40+ native connectors, and automated PDF delivery. The platform makes sense for external reporting workflows. Teams looking for lower cost, more connectors, or actual marketing intelligence rather than report automation have better options. Here are the six most relevant Whatagraph alternatives in 2026, with pricing and the use case each serves best.
9 min read - Analytics
Geo Holdout Testing: How to Measure True Marketing Incrementality
Attribution models tell you where credit went. Geo holdout tests tell you whether the spend actually caused the outcome. How they work, how to design one, and what the results typically show - including the branded search finding that surprises most teams.
8 min read - Analytics
Demand Generation Metrics: The 6 Numbers That Tell You If the Machine Is Working
Most demand gen teams report on 20+ metrics and know whether the machine is healthy. These six numbers — pipeline coverage, cost per pipeline dollar, time-to-pipeline by channel, marketing-influenced revenue, new contact rate, and funnel velocity — give you that answer in one view.
10 min read - 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 - Platform
Google AI Max for Shopping Campaigns: Text Customization, URL Expansion, and Format Selection
Google rolled out AI Max to Shopping campaigns on April 30, 2026, introducing three new capabilities: dynamic text customization (ads adapt copy to conversational queries), final URL expansion (the system suggests additional landing pages), and format selection (advertiser control over ad layout variants). For Shopping advertisers, this requires reviewing feed data quality and URL structure before activation, as AI Max uses the product feed as the primary creative input for generated ad variants.
9 min read
