Explain the customer situation, intervention, measured outcome and limits. Obtain the required approvals, distinguish illustrative examples from real cases and give buyers a meaningful way to verify the claim.
Start with the decision the case supports.
Choose a result relevant to the buyer’s actual problem. Describe the starting situation and the role your product or team performed. A general success story may be attractive while providing little evidence about the service the next buyer needs.
State whether the material is a real approved case, anonymized evidence or a fictional illustration. Anonymization should preserve useful context without exposing confidential details. Do not create a client relationship or measured result to make a page look complete.
Turn a result claim into an inspectable record.
- 01ContextWhat was the starting problem?
- 02WorkWhat actually changed?
- 03MeasureWhat did the metric record?
- 04QualifyWhat are the limits?
Give the number a definition.
Name the metric, baseline, reporting window, data source and inclusion rules. If you show a rate, identify its numerator and denominator. If a measure changed definition during the period, explain the discontinuity instead of presenting an uninterrupted improvement.
Keep activity, delivery and outcomes separate. Publishing pages is an activity; correcting an approved source is a deliverable; a qualified enquiry is a business event. They should not be relabelled as equivalent results.
A percentage needs these supporting facts.
Baseline
What it is compared with.
Window
When and how it was measured.
Scope
What the evidence supports.
Show what the evidence can and cannot support.
A before-and-after pattern can be useful without isolating the effect of one change. Identify other campaigns, tracking changes or relevant operating differences. Do not call an observational comparison a controlled experiment when it was not designed as one.
The fictional example below compares an unsupported percentage with an inspectable evidence record. It intentionally avoids inventing a client or outcome. Replace the structure only with material that is actually documented and approved.
Could a buyer assess the claim?
A large improvement percentage.
No baseline, period, source or definition.
Define the metric and observation window.
Explain the intervention, evidence, approvals and limitations.
Keep testimonials and supporting proof aligned.
The FTC’s endorsement guidance addresses advertising claims and endorsements. A disclaimer does not automatically make an unsupported or misleading result acceptable. Have the responsible reviewer assess the actual claim and applicable obligations.
Obtain appropriate customer permission and publish only material the business is entitled to disclose. Keep raw personal or commercially sensitive data out of public downloads. A reviewed summary can explain the method without exposing a customer’s confidential records.
Make the case useful before asking for contact.
Place the key evidence and limitations near the claim, link to a legitimate supporting resource where available and explain what a buyer should confirm for their own situation. A good case supports a fit discussion rather than promising the same result to everyone.
Review Arrow’s published case studies and the dated readiness example with their stated scope. For reporting structure, use the attribution method.
Sources and editorial scope
This is Arrow AI editorial guidance. Diagrams and examples illustrate a method, not client results or platform ranking factors. Clear information and source access do not guarantee a recommendation. Platform-specific facts are attributed to the sources below.
The Arrow read
Make the next decision clearer.
See what your customers can understand today, then improve the source or workflow that answers their next question. Start with a free GEO audit.
