A B2B landing page test needs a brief that explains the buyer’s decision, the evidence behind the proposed change and how the team will judge it. A request to improve conversions leaves too much open. Design, sales and marketing can each read a different objective into it.
Start with a specific question. For example, a procurement platform wants to know whether explaining its supplier onboarding process helps suitable buyers request a demonstration. That question gives the team a page, an audience and an outcome to investigate.
The brief below connects those choices. It can support an A/B test when traffic allows, or a research-led page revision when it does not. The B2B Website Performance Scorecard helps identify which page deserves the work first.
What should a B2B landing page test answer?
Choose a decision the intended visitor needs to make. A finance director comparing payment platforms may need to understand integration effort. An operations manager may need to see how an approval process works. A technical reviewer may need a security document before recommending a supplier.
Write down the visitor’s starting point. Include the search, campaign or referring page that brought them in, what that source promised, and what they can reasonably know already.
Then name the next useful action. That might be a demo request, a suitability enquiry or reading a technical evaluation page. Keep a supporting action separate from the commercial outcome. A click to an integration guide can show exploration; an accepted enquiry provides stronger evidence of a buying requirement.
Make the test question narrow enough to resolve. “Will this redesign increase growth?” leaves the audience, mechanism and measurement unclear. “Does an onboarding explanation improve completed demo requests from this campaign’s eligible visitors?” identifies what the team can examine.
Gather the evidence behind the brief
A useful brief distinguishes what has been observed from what the team thinks it means.
Suppose recordings show several visitors opening an integration menu before returning to a demo page. Sales also hears questions about onboarding. These observations support investigating missing information. They do not establish that an onboarding section will improve conversion.
Attach the sources, their dates and their limits. Useful inputs include conversion events, recent customer questions, search terms, support tickets and research with the intended audience. Record how many observations support each finding. Two comments should remain two comments.
An automated recommendation can propose a question for review. Read the actual page and compare it with the buyer evidence before giving the recommendation a place in the brief.
When the barrier is unclear, run a usability study first. Give suitable participants a realistic evaluation task and observe how they attempt it. NN/g’s usability testing guidance explains the importance of realistic tasks and representative participants. Avoid instructions that reveal where the answer is located.
Define the change precisely
Describe the current page and the proposed variation in enough detail that a reviewer can see the difference.
For the onboarding example, the variation could add a short section before the demo form. It would state the information needed from the customer, identify the responsible roles and link to the supported integrations. The form, offer and campaign would remain stable for this experiment.
The proposed mechanism is that suitable buyers can assess the work involved before making contact. Record the opposite possibility too: more detail may reveal a poor fit, reducing submissions while improving the quality of those received.
A coherent package of changes can be tested together. If the variation changes the headline, proof and form, the conclusion concerns that package. The experiment cannot identify which individual element caused the difference.
Give every claim a source and an approver. For a regulated business, include the person who reviews product or compliance wording. Design should start once those requirements are clear enough to avoid rebuilding the page during the test.
Which conversion should the test measure?
Select one primary outcome before launch. Define both the action being counted and the eligible audience used as its denominator.
A practical example is the share of assigned visitors who submit a valid demo request. Specify how the system handles repeat submissions, internal users, spam and visitors who return later. Keep the rules consistent across the control and variation.
Add measures that protect commercial quality. These might include accepted enquiries per assigned visitor, meeting attendance or the share of submissions rejected as irrelevant. Agree the sales review window before comparing cohorts. Recent enquiries need time to receive the same assessment as older ones.
Keep diagnostic events alongside the outcome. Form starts, field errors and CTA clicks help explain the path to a submission. A change that produces more clicks may still produce fewer valid enquiries. Our demo-form audit guide covers this event sequence in more detail.
In a hypothetical example, a page receives 2,400 eligible assigned visitors and 48 submit a request within the measurement window. Its submission rate is 2%. Sales accepts eight of those submissions. Both the raw counts and the acceptance criteria belong in the brief. The eight accepted enquiries do not justify calling every submission a qualified lead.
Check whether an A/B test is feasible
The traffic needed depends on the baseline, the effect worth detecting and the statistical method. A site-wide session total cannot answer this question for a campaign page.
Use eligible traffic for the exact page and audience. Estimate the time required for each variation, allowing for weekends, campaign changes and the time needed to assess lead quality. Optimizely’s sample-size calculator illustrates how baseline conversion and minimum detectable effect affect the estimate. Its calculation is designed for its own statistics engine; use a method suitable for the tool running the test.
If the required duration exceeds the period in which the offer and audience will stay stable, revise the research plan. The low-traffic CRO guide covers alternatives. Buyer interviews and task-based research can identify missing information or usability failures, with different limits from a controlled conversion experiment.
Copyable landing page test brief
Copy these fields into the document your team uses to approve website work. Keep links to evidence and approved page versions beside the brief.
1. Decision and audience
- Business decision: what will the result help the team decide?
- Page and owner: exact URL and accountable marketing lead.
- Eligible audience: source, offer, geography and any justified exclusions.
- Buyer task: what is the visitor trying to assess or complete?
- Current promise: what does the referring campaign or page tell them?
2. Evidence and hypothesis
- Observed issue: the behaviour or question, with counts where available.
- Evidence: source links, dates and limitations.
- Hypothesis: why the proposed change might affect the chosen outcome.
- Alternative explanation: another plausible reason for the observation.
- Proposed variation: the exact content or experience being changed.
- Control: a dated copy of the current experience.
3. Measurement and method
- Primary outcome: event, denominator and counting rules.
- Quality checks: qualification criteria and review period.
- Other safeguards: errors, delivery failures or other unacceptable effects.
- Assignment unit: how visitors receive a consistent variation.
- Feasibility: baseline, meaningful effect, required sample and expected duration.
- Decision rule: chosen statistical method and permitted stopping conditions.
- Known limits: consent gaps, repeat visitors, device changes or delayed outcomes.
4. Delivery and review
- Responsibilities: content, design, development, analytics and sales reviewers.
- Acceptance checks: functional, accessibility, content and tracking requirements.
- Release record: approved versions, launch time and rollback owner.
- Change restrictions: other work that could affect this audience during the test.
- Review date: who reads the result and who decides the next action.
A worked brief for an integration concern
This fictional example shows the level of detail needed before design begins.
Decision: whether to retain a new integration section on a paid-campaign demo page. The audience is UK operations leaders evaluating procurement software. The campaign already promises compatibility with their purchasing process.
Evidence: recent sales notes record repeated questions about onboarding responsibilities. A small usability study finds that participants can locate the demo form but cannot explain what their team would need to provide. The study identifies a comprehension issue; its findings do not estimate the number of lost enquiries.
Change: add a short onboarding explanation and a link to the supported systems immediately before the form. Product approves the wording. Design preserves a clear primary action and makes the supporting link visually distinct.
Measurement: valid demo requests per assigned visitor, with accepted enquiries tracked after the agreed review period. The team also checks form errors and whether the extra content makes the primary action harder to find on mobile.
Research route: the analyst calculates that a suitable online test would extend beyond the current campaign. The team checks the revised page with new target participants, resolves remaining comprehension problems and releases it with tracking. The monthly report labels subsequent conversion changes as observational.
This brief remains useful even though the online experiment did not proceed. It records the reason for the change and the evidence needed to assess it later.
Check the complete path before launch
Both experiences need functional checks through to the destination system. Confirm that a submission reaches the correct inbox or customer relationship management system, with the expected source and variation information.
Check mobile layouts, keyboard use, visible labels, validation messages and the confirmation state. W3C’s forms tutorial provides guidance on labels, instructions and error feedback. Give these checks an owner and record their result.
The analyst should also check assignment and event collection. A statistically unexpected imbalance in assigned groups can indicate a data problem. Microsoft’s research on sample ratio mismatch explains why unexplained assignment problems can invalidate an apparent result.
For a Webflow site, record which components and shared elements the variation touches. A site-wide navigation edit during the experiment could change the experience for both groups. Keep a dated release record so the team can investigate unexpected movement.
Frequently asked questions
Should a landing page test change one element at a time?
Choose the scope that answers the research question. Testing one element can isolate its effect. A connected set of changes can test a broader proposition, but the result applies to the complete variation. Record that limit before launching.
What should we do with an inconclusive result?
Check data quality and whether the planned sample and review period were reached. An inconclusive result may leave useful effects unresolved. Apply the decision rule in the brief, document what remains uncertain and choose the next research question. Avoid repeatedly extending the test until a favourable result appears.
Who should approve the brief?
The marketing owner approves the business question. The analyst confirms measurement and feasibility. Sales agrees qualification criteria, while product or compliance reviewers approve claims where required. The people building and checking the page confirm that the proposed experience can be delivered and measured.
Legency’s conversion rate optimisation work includes reviewing these choices before a page change is released. Bring the current URL, the intended audience and the decision the page needs to support.
