For Growth Teams

Every landing page experiment starts with a hypothesis. Except the one about whether the page itself is any good.

Growth teams test everything except the content quality of the page they're testing.

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The confounded experiment

You run 20 experiments a month. Half fail. That is expected. What is not expected is that you cannot tell whether a failed experiment had a bad hypothesis or a bad page. The pricing page test failed. Was the new pricing structure wrong, or did the landing page explain it poorly? You do not know because you never scored the page.

Your experiment velocity is high but your learning rate is low. Every failed test has two possible explanations and you can only rule out one of them if you measured both. You measured the conversion rate. You did not measure the content quality. So every experiment is confounded by the variable you never controlled.

The growth team that runs 20 experiments and learns from 10 will outperform the team that runs 20 and learns from 5. The difference is not experiment volume. It is the ability to isolate variables. Scoring the page before sending traffic separates "bad idea" from "bad execution" and doubles your effective learning rate.

What changes with Lytms

01

Score conversion signals before traffic.

Before you send 10,000 visitors to a test variant, score the page. If it scores 5.1 on CTA strength, the experiment is already compromised. Fix the CTA, rescore to 7.8, then run the test. Now you are testing the hypothesis, not the copy.

02

Separate bad hypothesis from bad page.

An experiment fails. You check the page score: 8.1 across all dimensions. The page was not the problem. The hypothesis was wrong. You learn something real and move on. Without the score, you would have spent a week rewriting a page that was already good.

03

Compare variant quality before testing.

You have two variant pages. Score both. Variant A scores 7.4. Variant B scores 6.1. You already know Variant B is starting at a disadvantage. Either fix it to match or acknowledge the confound. The score gives you information you did not have before.

What Lytms evaluates

All 16 dimensions for landing pages: Clarity, Value Prop, CTA Strength, Social Proof, Above Fold, Specificity, Brand Fit, Objection Handling, plus 8 visual dimensions. Use the dimension-level breakdown to identify exactly which conversion signals are weak.

How it works

1

Score every test variant before launch

Paste both variant URLs. Lytms scores each across 16 dimensions. You see exactly where each variant is strong or weak before a single visitor arrives.

2

Fix the content, not the hypothesis

If a variant scores below 6.5 on any critical dimension, fix it first. Then run the test. You are now testing your hypothesis in isolation, not confounded by content quality.

3

Read the post-mortem with score data

When a test fails, check the scores. If the page scored 8.0+ and the test still failed, the hypothesis was wrong. If the page scored 5.5, the page was the problem. You learn faster because you can isolate the variable.

16
conversion signals scored
2x
effective learning rate
90s
score before every test

Frequently asked questions

Marketing That Converts.

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