A/B test hypotheses

What it is

The last section of every AdRevila report is a second pass at higher creative temperature: concrete A/B hypotheses derived directly from the framework gaps the report found. Not "test a different hook" — that's advice you already knew. Each hypothesis names the current element, the proposed change, and the metric it's designed to move.

The hypotheses are falsifiable by design. You can run them, read the results, and know whether the theory was right. That's the difference between a creative opinion and a test.

How AdRevila scores it

After the main framework scoring pass, AdRevila runs a second Gemini pass focused on creative variation. This pass takes the framework gap signals — a weak Time Delay lever, a missing Cialdini social-proof element, a hook that's solving for the wrong Schwartz stage — and generates variants that specifically address those gaps.

Each hypothesis follows the same structure:

Current state — the exact element being changed, with a timestamp or quote from the ad. "The hook opens with a product shot and price (0–3 seconds). No problem frame, no social signal."

Proposed variant — the specific change. "Replace the product-shot open with a 3-second creator testimonial clip using the line 'I switched to this from [competitor]' before the product appears."

Lever targeted — which framework the change is designed to move. In this case: Cialdini social proof, moved to the hook; Schwartz stage confirmed as Solution-Aware.

Metric to watch — hook rate (3-second view rate) for hook changes; CVR for body and CTA changes; both for full-ad restructures.

The hypotheses are ranked by expected lift. AdRevila prioritizes the lever that, if moved one notch, produces the highest value-equation score change given the ad's stage. A weak Perceived Likelihood signal on a Product-Aware ad outranks a weak Life Force 8 anchor on the same ad — because the buyer at that stage needs proof more than desire.

How to read it

Read the hypotheses in order. The first one is the highest-expected-lift test. Run it as a true A/B before running the rest.

Common hypothesis types and what drives them:

Hook swap — triggered when the hook is hitting the wrong Schwartz stage or when hook rate is implied to be low (a long, slow open with no pattern interrupt). The variant is almost always a different first three seconds: problem-first line, creator testimonial, or bold claim depending on stage.

Proof injection — triggered when Cialdini authority or social proof is absent and the ad's stage is Solution-Aware or Product-Aware. The variant adds a specific proof element — a named customer, a credential, a number — in the first eight seconds. Expected lift: hook-to-body completion rate.

Time Delay compression — triggered when the Hormozi Time Delay lever scores medium-high and the product has a perceived wait between purchase and benefit. The variant doesn't remove the wait — it reframes the first felt benefit. AG1's approach ("starts working with your first scoop") is the model. Expected lift: CVR from landing page.

Unique mechanism introduction — triggered when Schwartz sophistication is high (saturated category, jaded buyer) and the ad is making a category-level claim the viewer has already discounted. The variant introduces a specific mechanism — the named ingredient, the proprietary process, the sourcing detail — that makes the claim feel new. Expected lift: time-on-page and add-to-cart rate.

CTA friction reduction — triggered when the Effort lever scores medium-high and the CTA implies a multi-step commitment (quiz, consultation, intake form) that cold traffic isn't ready for. The variant softens the ask to match the stage: "see the products" instead of "start your intake." Expected lift: CTR from ad.

Why it matters

Most creative teams run A/B tests that are underpowered and underspecified. "Test a different hook" produces 40 variations with no shared hypothesis and no way to learn from the results. Framework-grounded hypotheses are the opposite: each test answers a specific question about a specific lever.

Cody Plofker at Jones Road Beauty ran this discipline publicly: every creative decision traces back to a theory about which buying barrier it's removing. That's not a personality trait — it's a process. The hypothesis comes first, the variant follows, the result either confirms or kills the theory.

AdRevila's hypotheses give you that process for any ad you analyze. Paste the URL, run the report, hand the top hypothesis to your editor. Brief the variant, flip the test, read the hook rate in three days. If the theory was right, you have a new control. If it wasn't, you know which lever didn't move — which is itself a finding that sharpens the next test.

The alternative is optimizing by taste. Taste compounds slowly. Falsifiable tests compound fast.