Landing-page and user-flow testing agents
User Yield takes testing beyond the landing page.
Testing agents turn a journey hypothesis into a bounded experiment across pages and flow steps, checking brand rules and experiment quality before any visitor sees it.
The impact
3×
more experiments prepared per month
Landing-page and user-flow testing agents
Case study facts
- Industry
- SaaS
- Team
- Marketing
- Systems connected
- 4
- Time to live
- 3 weeks
- Engagement
- AI implementation
The impact
Results for the team
- more experiments prepared per month
- 3×
- more experiments prepared per month
- Agents prepare more experiments each month across landing pages and downstream flow steps.
- less time building a test variant
- 74%
- less time building a test variant
- Generating and validating variants reduces the time the team spends building each test.
- of key journey steps covered
- 92%
- of key journey steps covered
- Testing covers key steps from the landing page through the downstream flow, extending review beyond the first page.
Situation
Testing attention stopped at the first page.
Testing attention tends to concentrate on the page easiest to edit. A better headline can send more users into the same unresolved friction further along the journey.
Challenge
Later friction survived the next variant.
The team needed to connect each proposed change with the journey step it could improve. Brand boundaries, functional checks and reliable measurement had to hold across the entire test, not just the landing page.
What we built
Testing agents across the user flow.
The testing agents inspect the journey against a defined hypothesis and propose variants for the relevant page or interaction. Each proposal includes its rationale, measurement event and limits.
Approved tests run with stable assignment and instrumentation checks, and their outcomes feed the next proposal across the full flow rather than restarting at the landing page.
- 01
Map the journey
Identify the landing page and downstream steps involved in the hypothesis.
- 02
Define the test
Specify the expected change and the metric that would confirm it.
- 03
Generate variants
- Generative AI
Agents produce changes within approved brand and offer boundaries.
- 04
Validate the flow
Accessibility, functionality and event instrumentation are checked automatically.
- 05
Run the experiment
Approved variants go live against a control with stable assignment.
- 06
Compound the learning
Each result informs the next test across the journey.
Evals and guardrails
Test generated flows. Control what goes live.
Page-generation evals
Check generated changes against the test hypothesis and brand rules. Repeat browser tests for broken links, forms and inaccessible controls.
Experiment evals
Test visitor assignment and event recording. Check unexpected group sizes and missing records of which version visitors saw or what they did.
Guardrails
Block launch if page or tracking checks fail. Enforce approved claims and require owner approval for traffic allocation and when tests stop.
Results
Learning extends across the journey.
Agents prepare more experiments each month across landing pages and downstream flow steps. Generating and validating variants reduces the time the team spends building each test.
Testing covers key steps from the landing page through the downstream flow, extending review beyond the first page.
- more experiments prepared per month
- 3×more experiments prepared per month
- less time building a test variant
- 74%less time building a test variant
- of key journey steps covered
- 92%of key journey steps covered
From User Yield
“We needed our optimization tooling in-house rather than rented. Now we build and test client funnels on our own system, and the testing keeps running between projects.”
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