Case Study and Testimonial Request Automation
Case study requests often go out on a health-score trigger alone, without checking what actually happened at the account recently — a request can land right after a rough support escalation or a tense renewal negotiation and read as completely out of touch. Once a customer agrees, the draft process stalls just as often: quotes wait on approval from whoever the request happened to reach, which isn't always the person with actual sign-off authority, and there's no timeout or escalation, so a case study can sit half-finished for months with nobody chasing it.
STARTING PRICE
From €99
Starter tier · Single-workflow automation, one core integration, fast turnaround.
Get a quote →Saves roughly 3-4 hrs/week for customer marketing running an active case study pipeline.
How the automation works
We build a request workflow that checks recent account context — no open escalations, no rough renewal in progress — before triggering a case study or testimonial ask, so the timing actually fits the relationship. Approval requests route to the contact with actual sign-off authority rather than whichever user happened to respond, and every draft gets a tracked timeout: if approval stalls past a set number of days, it escalates instead of silently sitting. Completed assets are checked against existing marketing materials so the same two or three logos don't end up in every new case study. Legal review is triggered automatically for any quote referencing pricing, competitors, or performance metrics before publication, and expiring approvals are re-confirmed annually so a testimonial doesn't stay live after a customer churns. Draft assets are routed through brand and design review for formatting consistency before final legal sign-off, ensuring published material matches house style guidelines.
Process flow
- 01
Positive-moment trigger fires trigger
A candidate moment — strong health score, positive NPS, successful expansion — surfaces the account as a case study candidate.
- 02
Check recent account context ai
The account is checked for open escalations or an active renewal negotiation before the request goes out, so the ask isn't sent right after a rough interaction.
- 03
Send request with right contact output
The request goes to the contact best positioned to say yes and coordinate PR/legal sign-off, not just whichever user was easiest to reach.
- 04
Track draft and approval status ai
Draft progress and approval status are tracked with a timeout; if approval stalls past the set window, it escalates instead of sitting indefinitely.
- 05
Check against existing assets ai
Completed case studies are checked against current marketing material to avoid overusing the same handful of reference logos.
- 06
Hand off completed asset output
The approved case study or testimonial is routed to marketing for publication, with usage rights and approval trail attached.
Inputs
- Account health/sentiment signals for candidate identification
- Recent support and renewal activity per account
- Contact role/authority data for approval routing
- Existing case study/testimonial asset library
Outputs
- Timed case study or testimonial request
- Draft approval status with escalation on stall
- Completed asset with usage rights and approval trail
- Reference-logo overuse check
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Requests get sent right after a support escalation or a rough renewal negotiation because the trigger only checks health score, not recent sentiment context, producing an awkward and poorly-timed ask.
- Draft case studies sit waiting on legal or PR approval from the customer's side indefinitely, and without a timeout or escalation path, the workflow just stalls silently for months.
- Quote approval requests get sent to the day-to-day product user instead of whoever actually has PR sign-off authority, delaying publication while the request gets forwarded internally.
- Testimonial collection doesn't check against assets already in use, so the same two or three logos end up in every new case study while a broader willing pool goes untapped.
Frequently asked questions
How does this avoid asking a customer right after a bad experience?
The trigger checks recent account context — open escalations, active renewal tension — before sending a request, so a candidate identified purely by health score doesn't get an ask right after a rough interaction.
What happens if the customer's approval process stalls?
Draft and approval status are tracked with a set timeout; if approval doesn't move within that window, it escalates to a follow-up instead of sitting untouched indefinitely.
Is this the same as the reference call program?
No, this handles written and recorded content assets — case studies and testimonials. Live reference calls and prospect intros are tracked in a separate, related workflow.
Does it help avoid overusing the same few reference customers?
Yes, completed and in-progress assets are checked against the existing library so requests spread across a wider set of willing customers instead of concentrating on the same two or three logos.