The 48-Hour Funnel Filter

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🧠 The 48-Hour Funnel Filter: Diagnose Funnel Logic Before It Burns Budget

Most funnel testing starts with this question: “What if we changed the headline?”

But great marketers know conversion lives one layer deeper: in funnel logic, the core sequencing of product, offer, and psychology. Because if the structure is wrong, no amount of A/B tests can save you.

Enter the 48-Hour Funnel Filter, a framework that doesn’t just look at CTR or CVR, but pressure-tests whether the funnel type matches product complexity, buyer state, and intent friction.

Use it to eliminate dead-end funnels within 48 hours, without wasting $5K on false green arrows.

Step 1: Run a Structural Fit Scan (Before Testing Anything)

Ask: Does this funnel even belong in this context?

If your product needs trust-building but you’re leading with a Buy Box… stop right there.

Step 2: The Funnel Vital Signs Test

Here’s the real test: are people behaving like the funnel works?

Don’t wait for 100 purchases. In the first 500 sessions, look for:

→ If 2+ of these fail, stop creative testing immediately.

Your structure is broken. Fix the logic before testing the layers.

Step 3: Funnel Logic Triage, What to Fix First

If scroll + time is low, the funnel is entering too cold. Test a warm-up page (listicle, quiz).

If flow is low but scroll is high, Mid-funnel confusion. Fix CTA framing and clarity.

If flow is high but ATC is low, PDP misfires. Rebuild offer logic, pricing, and bundling.

If everything’s green but CVR is flat, you’re likely harvesting traffic, not creating demand. Consider upstream creative or awareness-stage swaps.

The Shift: From Funnel Tweaks to Funnel Fit

Testing is no longer about color, layout, or copy. The real unlock is testing the right funnel type for the right moment, and measuring structural viability in hours, not weeks.

Most teams waste 80% their spend scaling dead funnels.

You? You’ll kill them before Day 3 and reallocate to the right game.

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📊 Web Visibility Drives AI Mentions Most on Google, Less on ChatGPT

Does being seen more online lead to more AI assistant visibility? A Brand Radar analysis explored the link between organic web traffic and how often brands show up across Google AI Overviews, ChatGPT, and Perplexity. 

The Breakdown:

1. Google Shows Moderate Correlation - With a Spearman ρ of 0.55, Google AI Overviews exhibited the strongest link between web presence and AI mentions, suggesting visibility on high-traffic sites could translate to more mentions in Google's summaries.  

2. Perplexity Ranks Balanced but Weaker -  Perplexity’s score of 0.35 showed a weak but closer-to-moderate correlation. It continues to spread visibility more evenly across brands and citations, regardless of page popularity. 

3. ChatGPT Lags Behind -  ChatGPT had the weakest correlation at 0.20, indicating less dependence on high-traffic domains. Its AI mentions seem more influenced by internal tuning or partnerships than search traffic signals. 

If you're betting on brand visibility to drive AI mentions, Google’s AI Overviews respond best. But each system weighs authority differently, meaning SEO visibility isn’t a universal key to AI presence. Marketers must track these systems individually to understand how their brands surface across the LLM layer.

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🛒 Google Merchant Center now auto-calculates U.S. sales tax based on shopper location,  eliminating manual setup and reducing feed disapprovals for merchants using dynamic shipping or varied tax zones.

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