How to get a customer to approve a case study

Customers approve case studies quickly when you ask them to confirm a short list of specific quotes, figures, and naming choices instead of reviewing a whole document, and an AI marketer can write that request, send it, read the reply, and update the draft for you.

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Key Takeaways

  1. The fastest way to get a customer to approve a case study is to ask them to confirm a short list of specific things, such as each quote, each figure, and whether they can be named, rather than sending the whole draft with "please review."
  2. Approval usually stalls because the customer has to forward the draft to their manager, legal, or comms team, so a good request makes it easy to forward and says exactly what each person needs to check.
  3. Kite reads the draft, separates what the customer actually said from what was inferred, and writes the approval email around those specific points, with a named version and an anonymous version the customer can choose between.
  4. Once you approve the email, Kite sends it from your team's Kite address under your company's name, and the customer's reply comes back to the same conversation.
  5. Kite reads the reply, applies the customer's corrections to the draft, follows up if the request goes quiet, and asks you before the approved case study goes on your website.
On this page

How do I get a customer to approve a case study quickly?

You get a customer to approve a case study quickly by making the approval a small, specific decision. Most requests ask the customer to read a 1,200-word draft and "let us know if this looks okay." That sounds polite, but it hands the customer an open-ended editing job, and open-ended jobs sit at the bottom of the inbox. A request that says "Can we quote you saying this, can we use this figure, and are you comfortable being named?" can be answered in a few minutes.

It also helps to know who really approves a case study. The person who loves your product is rarely the only one who decides. Their manager may want to check how the team is portrayed, and at larger companies a legal or communications team signs off on anything that names the company publicly. When your champion has to forward the draft, the request should travel well: it should say what's being published, where it will appear, and which statements need checking, so the next reader doesn't have to start from scratch.

A good result is a written yes from someone with the authority to give it, covering the exact quotes, figures, and name that will appear on your site. An email reply works well as that record, because it sits next to the draft it approved.

Your email client and a shared document can carry all of this, but they don't write the request or decide what needs confirming. That judgment is the real work. Kite does it for you: it reads the draft, works out what the customer has to sign off on, writes and sends the request, and follows the reply through to a finished draft.

How to get started

Start by giving Kite the draft and the customer contact. If Kite wrote the case study, the draft is already in your conversation. Otherwise, paste it or upload it, and tell Kite who should receive it:

"Send this case study draft to our contact at the customer for approval. Ask about the quote and the onboarding figure especially."

Kite is an AI marketer. It researches your business, builds a growth strategy, and ships the work that brings you new customers. It already knows your brand voice and positioning from that research, so the request it writes sounds like your company rather than a form letter. If the draft came from a call transcript or a Slack thread, Kite also knows where each quote and figure came from.

Kite shows you the approval email before it goes out. Read it, ask for changes in the conversation, and approve it when it's ready. You don't need to connect anything to do this, because every Kite team has its own email address for sending and receiving email.

How Kite gets a case study approved

What does the customer actually need to confirm?

Kite starts by reading the draft line by line and sorting every claim into one of a few kinds. Some statements came straight from the customer, such as a quote from a call or a number they shared in a message. Others are interpretations, where the draft connects two things the customer said or describes a result in stronger terms than they used. Kite treats the interpretations as the highest priority, because a customer who sees words they never said is the most likely to stall or say no.

From that sorting, Kite builds a short list of decisions for the customer:

  • Quotes. Each sentence the draft attributes to the customer, written out in full so they can approve it or adjust the wording.
  • Figures. Every number in the story, with the time period it covers, plus any number Kite would like to add if the customer can share it.
  • Interpretations. Each statement Kite inferred rather than heard directly, so the customer can confirm it's accurate.
  • Names and titles. Whether the company can be named, which people can appear, and the exact titles to use.
  • Logo and placement. Whether you can show their logo and where the story will appear, such as a case study page, your homepage, or a sales deck.

Kite leaves off anything the customer doesn't need to weigh in on, such as how your product works or how you describe your own company. A shorter list gets a faster answer.

Writing the approval email

Kite writes an email that the customer can answer without opening anything else. It opens by thanking them for the result and saying in one sentence what you'd like to publish and where. Then it lists the specific points to confirm, each one quoted exactly, so the customer can reply "Yes to all three, and change the second figure to 35 percent."

The full draft goes in the body of the email below the list, so it's there for anyone who wants to read the story in context. Kite also writes the request so it can be forwarded as is. It names what the case study is, where it will be published, and which lines matter, so a manager or a legal reviewer who receives the forward knows what they're being asked to approve.

Kite offers the customer a fallback too. If being named is the sticking point, the email offers an anonymous version that describes the customer by industry, size, or role and keeps the result intact. Giving them a second option turns a possible no into a choice between two yeses.

Finally, Kite suggests a reply-by date that fits your plans, such as the launch you want the case study for, and says why the date matters. A reason gets a faster answer than a deadline on its own.

Sending the request

Once you approve the email, Kite sends it from your team's Kite address. Because the email goes to someone outside your team, it arrives under your company's name rather than Kite's, and it reads like ordinary correspondence from your company. You can add more recipients, such as the customer's manager, when you want them in the conversation from the start.

If you'd rather send it from your own inbox, Kite gives you the finished subject line and body to copy. That works well when the customer relationship sits with one person and the request should come from them.

Reading the customer's reply

When the customer replies, the email comes back to the same Kite conversation where the request was written. Kite reads it against the list of points it asked about and works out where each one stands: approved, approved with a change, declined, or not yet answered.

Kite then updates the draft. A corrected figure replaces the old one everywhere it appears, a reworded quote replaces the original, and a declined interpretation comes out of the story entirely. If the customer chose the anonymous version, Kite rewrites the draft to remove their name, people, and logo. Kite shows you the revised draft with each change marked, so you can see exactly what the customer asked for.

Kite treats the customer's reply as information, not as instructions. A customer saying "looks great, publish it" tells Kite the story is approved, but publishing still waits for your approval in the conversation.

Following up when the reply doesn't come

When the request goes quiet, Kite can send a short follow-up in the same email thread, so the customer sees it attached to the original request. A good follow-up is shorter than the first email. It repeats only the open points and offers to take the smallest version, such as approving just the quote, if the full story needs more time on their side. You can ask Kite to check for a reply on a schedule, such as every few days, and draft the follow-up when one hasn't arrived.

If some points are approved and others are still open, Kite can ask only about the open ones. That keeps the conversation moving without sending the customer back through decisions they've already made.

Publishing the approved case study

Once every point is settled, Kite prepares the final version and tells you what was approved and by whom. On a website Kite hosts, it publishes the case study when you approve it and returns the live URL. If your site runs on a supported CMS, such as Webflow or WordPress, Kite publishes through your connected account. Kite can also send the customer a short thank-you with the live link, which is a natural moment to ask whether they'd share it.

What the finished work contains

When the approval is done, you have a case study you can publish with confidence and a written record of what the customer agreed to.

The approval email

A request in your brand voice that lists each quote, figure, interpretation, and naming choice for the customer to confirm, with the full draft below it.

The customer's written approval

The reply in your Kite conversation, next to the request it answers, showing who approved which points.

The revised draft

The case study with every customer correction applied and each change marked, in the named or anonymous version the customer chose.

Any follow-ups

Shorter emails in the same thread that ask only about the points still open.

The published page

When you approve it, the case study goes live on your website and Kite shares the link.

Common questions

How long does it take to get a case study approved?

Approval usually takes anywhere from a few days to several weeks, and most of that time is spent waiting on the customer's internal review rather than on the writing. A specific request with a clear reply-by date and an anonymous fallback shortens it, because the customer's team has less to read and fewer reasons to hold the draft.

Should I send the customer the case study before or after the interview?

Send the draft after you've written it from the customer's own words, whether those come from an interview, a call recording, or messages they've sent you. Asking a customer to approve a finished draft is much faster than asking them to help write one. If the source material has gaps, Kite can include two or three short questions in the approval email so the customer fills them in when they reply.

How do I structure a case study so it's easy to approve?

Structure the case study around the customer's own story: who they are, what they were trying to do, what stood in their way, why they chose your product, and what changed. Keep the quotes in the customer's exact words and tie every figure to something they told you. A draft built that way leaves the customer very little to correct, so approval becomes a quick check instead of a rewrite.

Can ChatGPT write a case study approval email?

Yes, ChatGPT can write an approval email if you paste in the draft and explain what you need. Kite goes further: it knows where each claim in the draft came from, sends the email from your team's address, reads the customer's reply, applies the corrections, and follows up when the reply doesn't come.

Questions this page answers

  • How do I get a customer to approve a case study quickly?
  • How can I use an AI marketing agent to get a customer to approve a case study?

About the author

Devon Wells leads product marketing at Kite, the AI marketer. He spent a decade marketing industrial AI, from self-driving trucks to computer vision, but now Kite handles most of the work itself.

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