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Lindle for Conversion optimisation

AI for conversion rate optimisation: find the next hypothesis worth testing.

Turn page and journey evidence into focused hypotheses and test briefs.

Discuss your optimisation priorities

Conversion optimisation

Find the next buying-friction hypothesis worth testing.

Lindle helps organise available analytics and page evidence into a practical investigation for your CRO team.

  • Identify questions worth deeper examination.
  • Look for recurring template issues.
  • Prepare work with clear success criteria.

Practical use cases

  • Compare selected product or landing pages.
  • Review desktop and mobile experiences.
  • Investigate information gaps and unclear next steps.
  • Prepare experiment and remediation briefs.
  • Track implementation separately from measured impact.

Questions you could investigate

  • “What should we investigate on these product pages?”
  • “Turn these findings into a prioritised test brief.”
  • “What evidence would support or weaken this hypothesis?”
Work to take into a meeting
A CRO brief with observations, hypothesis, affected pages, test requirements and evaluation criteria.
Why it helps with leadership
Explain why a proposed test deserves time and attention.
Measures worth agreeing
Add-to-basket rate, checkout completion, conversion rate and revenue per session where available.
Capabilities and connections
Page review, analytics investigation, prioritisation and prepared experiment briefs. Analytics, ecommerce and marketing systems, subject to specific integration support and permissions.

Scope: Lindle does not run experiments automatically or scan an entire site without limits. Selected pages are reviewed for an agreed scope.

Something useful to take into your next meeting.

An example of the Conversion optimisation work you could prepare.

CRO brief

Illustrative output

Business question
What should we investigate on these product pages?
Evidence needed
Selected product pages on desktop and mobile, with available analytics for the journey.
Priority
Frame one hypothesis, the affected pages and the test requirements.

Illustrative output. Actual work depends on your question, available evidence and agreed scope.

Explore the work behind the answer.

Capabilities most relevant to Conversion optimisation.

  • Traffic and acquisition

    Channel and landing-page investigations, including observed AI referrals where they can be identified.

  • Website and product pages

    Reviews of selected pages and journeys, agreed for scope.

  • Prepared work

    Briefs, plans, drafts and measurement specifications.

  • Outcome measurement

    Compare relevant evidence after delivery. Commercial outcomes need suitable outcome and cost data.

Work with the systems your team already uses.

Start with the question you want to answer. Agree which sources, connections and permissions are needed to investigate it.

For this role: Analytics, ecommerce and marketing systems, subject to specific integration support and permissions.

Specific connections, supported actions and access are agreed first. See available connections

New in the role? Start with a useful decision.

  1. 1

    Establish the starting point

    Choose a business question, available evidence and agreed definitions.

  2. 2

    Identify a priority

    Investigate the findings and decide what deserves attention.

  3. 3

    Prepare the work

    Create a brief with an owner, review requirements and success measure.

  4. 4

    Review what changed

    Check delivery, examine the results and decide what to do next.

A suggested working approach, not a guaranteed delivery timetable or a description of the trial scope.

See how teams have put Lindle to work.

We don’t yet have a published customer story for this role. Our case studies show how ecommerce and retail teams have put Lindle to work.

Observed customer outcomes are not guaranteed results. Each story uses the measure appropriate to its question. All case studies

Frequently asked questions

What is outside Lindle’s scope for Conversion optimisation?
Lindle does not run experiments automatically or scan an entire site without limits. Selected pages are reviewed for an agreed scope.
What is Lindle in simple terms?
Lindle helps teams investigate business questions using relevant evidence, prepare practical work and review what changes.
How does Lindle fit alongside our CRM and analytics?
Your existing systems hold important information. Lindle can use supported, permissioned connections to help investigate questions across relevant sources and prepare next steps.
Do I need to understand AEO or GEO?
No. Start with a question about customer discovery or business performance. The terminology can be explained as it becomes relevant.
Can Lindle help prepare work?
Yes. Depending on the agreed task, work can include research, briefs, draft content, action plans and measurement specifications.
Can our agency use it with us?
Lindle is designed to support shared evidence and clear ownership alongside your internal team and specialist partners.
What happens before an external change?
The work requires the appropriate permissions and approval.
What is included in the free trial?
Your 14-day trial starts when you sign up. Daily AI visibility reports begin after you finish setup and review your questions. Connect Google Analytics 4 and complete the first analytics report within those 14 days to extend your trial to 30 days in total from signup. No credit card. No automatic billing. Any paid continuation is agreed with you. The trial includes your visibility baseline, daily observations and evidence to explore. An introductory conversation helps you consider the next step. Specialist implementation and wider programmes are scoped separately.
How do we measure value?
Agree the decision, starting point, work delivered and relevant outcomes. Commercial return needs suitable outcome and cost data.

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