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Saniya Sood
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Published October 8, 2026 · Updated October 8, 2026
The answer in 60 words: the people who engage your case-study post have read the headline and want the rest. This play collects the reactors and commenters, qualifies them for lookalike fit by prioritising people who resemble the customer in the story, and offers the full narrative one to one: happy to share how they actually did it. One run per post, LinkedIn only.
This article describes the play exactly as published on joinvalley.co/playbooks on October 8, 2026. Valley makes the product, so read it as the maker's own guide, not a review.
Valley is an AI outbound platform that finds the people most likely to buy from you - from live buying signals, natural-language search, or your own lists - qualifies them against your ICP, researches each one, and sends personalized messages across email and LinkedIn that get 15-45% reply rates, against a category average of about 2%.
► Run this play on your own ICP: 7 days free, every feature on
Give your sales team
an unfair advantage.
Who this play finds, and why they reply
A case study post is the most self-selecting content you publish: the only people who stop on it are people with the problem the customer solved. The play's second step uses that: it prioritises engagers who look like the customer in the story, because the reader most likely to book is the one who can picture themselves in it.
The sequence is post first, then point Valley at it. Reactors and commenters are collected, and the offer goes out while the post is still in their memory.
How the play runs
The flow, as the product shows it: Case-study post › Qualify fit › LinkedIn.
Post the case study, then point Valley at it. Reactors and commenters collected.
Qualifies for lookalike fit (AI step). Prioritizes people who look like the customer in the story.
Offers the full narrative. "Happy to share how they actually did it" converts readers into calls.
Before you launch
Bring your source links, or ask Scout to find a starting audience.
Setting | Value |
|---|---|
Audience | High + medium fit |
Cadence | One-time |
Cadence tag | One-time |
Sending channel | LinkedIn only |
Review the audience, message and sending settings before starting. The channel shown is the sending channel for this play, not the source of its prospects.
Give your sales team
an unfair advantage.
What the message says
"Happy to share how they actually did it" converts readers into calls, in the play's words. The message offers the longer story, not a demo: the detail the post left out, which the reader has already shown they want.
Lookalike fit shapes the note. A reader at a company like the customer's gets a message that draws the parallel; the research step supplies the specifics.
When this is the wrong play
The post was the customer's, not yours. Harvest a testimonial post's engagers is the play for a post the customer wrote.
You want companies that look like the customer, whether or not they engaged. Clone your best customers finds them on the open web.
The post has not been published yet. Post it first; the play needs the engagers.
The post itself decides the yield. A case study post that names the customer, the number and the method draws engagers who want the method; a vague proud-to-share post draws applause. Write the post as the first half of the story the message will finish, and the offer to share the rest reads as the natural next step rather than a pivot.
Related plays
Harvest a testimonial post's engagers: When a customer posts about you, everyone who liked it just raised a hand.
Clone your best customers: Companies that look exactly like your top ten accounts, found on the open web.
Message your post engagers: People reacting to and commenting on your posts, qualified and messaged.
Open the play itself: Follow through on your case study on the Valley playbook library, or browse all 58 plays.
► Want to see this play run on your accounts? Book a demo
FAQ
How do I get leads from a case study post on LinkedIn? Point Valley at the post after it runs. It qualifies the engagers for resemblance to the customer in the story and offers each the full narrative one to one.
Who is prioritised? People who look like the customer in the case study.
What does the message offer? The longer story: how the customer actually did it. Not a demo.
Is it one-time? Yes, one run per case-study post.
Can I run it on an older case study post? Yes. Valley collects reactors and commenters from the post you point it at.
How this page was made: the facts were read from the sources named in the text on October 8, 2026; drafted with AI assistance; fact-checked, reviewed and edited by Saniya Sood.
