Customer Support

How to watch for churn risk accounts as DTC Brand Founders

Customer SupportFor DTC Brand Founders2 apps10 steps~20 min to set up

You find out a customer is about to churn the same way you find out about everything else — too late, from a support ticket or a failed payment notification. Your Shopify orders, Klaviyo email engagement, and Stripe subscription data all live in separate tabs. Nobody's watching for the pattern that actually predicts a lost customer: three unopened emails in a row, a refund request two weeks ago, no repeat order in 90 days. You're running a 5,000-customer store and doing churn detection manually, which means you're not doing it at all. By the time you notice, they've already bought from a competitor.

Build this on Starch → See the apps used

Customer SupportFor DTC Brand Founders2 apps10 steps~20 min to set up

Outcome

What you'll set up

A live churn-risk dashboard pulling from Shopify order history, Klaviyo engagement, and Stripe payment data — so you can see at-risk customers before they disappear

Automated alerts that flag accounts crossing your churn-risk threshold and drop them into a prioritized outreach list, ready for your team to act on

A follow-up workflow that drafts personalized win-back emails for flagged customers and tracks whether they come back — closed loop, no spreadsheet required

The Starch recipe

Apps, data, and prompts

The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.

Apps used

CRM

Data sources & config

Starch syncs your Stripe data on a schedule (charges, subscriptions, failed payments). Connect Shopify from Starch's integration catalog — the agent queries order history, refund records, and customer lifetime value live when your dashboard or automation runs. Connect Klaviyo from Starch's integration catalog for email engagement metrics. Gmail is a scheduled-sync provider — Starch connects directly to your Gmail so support threads from at-risk customers surface automatically. Slack is available to connect so weekly churn summaries land where your team already works.

Prompts to copy

Build me a churn-risk tracker for my DTC store. Pull in Shopify orders (connect from Starch's integration catalog) and Stripe subscription data (Starch syncs Stripe on a schedule). Flag any customer who hasn't ordered in 60+ days, had a refund or failed payment in the last 30 days, or whose Klaviyo open rate has dropped below 10% over the last 3 sends. Show me a risk score for each account, their last order date, order count, and lifetime value. Sort by highest risk first.

Every Monday morning, look at my churn-risk list and draft a personalized win-back email for the top 10 riskiest customers. Pull their order history and last product purchased from Shopify. Reference what they bought last. Send me a Slack summary of who's on the list and attach the draft emails for my review before anything goes out.

Triage my support inbox and tag any email from a customer who also appears on my churn-risk list as urgent. Summarize the thread in one sentence and draft a reply that acknowledges their issue and includes a 10% discount code.

Run these in Starch → or paste them into your favorite agent

Walkthrough

Step-by-step

1 Connect Stripe as a scheduled-sync provider — Starch syncs charges, subscriptions, failed payments, and payout history automatically. This is the backbone of your payment-failure churn signal.

2 Connect Shopify from Starch's integration catalog. Tell Starch to query order history, refund records, customer LTV, and days-since-last-order live whenever your churn app runs.

3 Connect Klaviyo from Starch's integration catalog so the agent can pull per-customer open rates and click-through rates for the last N campaigns — the engagement drop signal most DTC brands ignore until it's too late.

4 Open the CRM starter app from the Starch App Store. Tell Starch to adapt its schema for churn tracking: 'Add fields for last order date, LTV, refund history, Klaviyo open rate trend, and a computed churn risk score. Stage pipeline by risk tier: Watch, At Risk, Critical.'

5 Describe your churn-risk logic in plain language — for example: 'Flag a customer as At Risk if they haven't ordered in 60 days, Critical if they haven't ordered in 90 days AND had a refund or failed payment in the last 30 days.' Starch builds the scoring rule into the app.

6 Set up the Email Triage app (Founder Inbox in the App Store) against your Gmail account. Tell it: 'Any support email from a sender who appears in my churn-risk CRM at At Risk or Critical tier should be flagged urgent, summarized, and moved to the top of my queue.'

7 Build a Monday morning automation: 'Every Monday at 8am, pull the top 10 Critical-tier accounts from my churn-risk CRM, check their last Shopify order and product purchased, draft a personalized win-back email for each referencing what they bought, and Slack me the list with the drafts attached for review.'

8 For customers with no email address on file or who have unsubscribed from Klaviyo, tell Starch to automate outreach through your browser — for example, flagging them for a direct DM via your brand's social account or checking their order status on your Shopify admin page. No API needed for any site you can navigate manually.

9 Add a win-back tracking step: 'When a customer on my churn-risk list places a new order, mark them as Recovered in the CRM and log the win-back email that preceded the order.' This closes the loop and tells you which messages actually work.

10 Schedule a Friday afternoon summary automation: 'Pull this week's churn-risk movement — how many accounts moved from Watch to At Risk, At Risk to Critical, and how many were Recovered. Show me the net change and the revenue at risk by tier. Send it to my email by 4pm.'

See this running on Starch

Connect your tools, describe what you want, and the agent builds it. Closed beta is free.

Try it on Starch →

Worked example

Spotted and recovered: April 2026 churn sweep

Sample numbers from a real run

Customers flagged At Risk (60+ days no order)	47
Customers flagged Critical (90+ days + refund or failed payment)	12
Revenue at risk from Critical tier (avg LTV $340)	4,080
Win-back emails sent after Monday automation ran	12
Customers recovered (placed order within 14 days)	5
Revenue recovered from win-back	1,620

On Monday April 7th, Starch's scheduled automation ran at 8am. It queried Shopify order history and Stripe payment data, cross-referenced 5,400 customers, and surfaced 12 Critical-tier accounts — customers who hadn't ordered in over 90 days and had at least one failed Stripe charge or refund request in the past month. Their average LTV was $340, putting $4,080 of revenue at risk. For each of the 12, Starch drafted a personalized email: 'Hey Sarah — we noticed you haven't restocked your Vitamin C SPF since January. Your last order was our 1oz travel size — we just launched a 3oz version that a lot of repeat customers have switched to. Here's 10% off if you want to try it.' The drafts landed in Slack for review. The founder approved 11, edited 1, and sent them within 20 minutes of waking up. By April 21st, 5 of the 12 had placed new orders — $1,620 recovered. Without the automation, all 12 would have quietly churned.

Measurement

How you'll know it's working

Customer churn rate by cohort (monthly and 90-day rolling)

Revenue at risk by tier (At Risk vs. Critical, in dollars, not just account count)

Win-back conversion rate (% of flagged accounts who order within 30 days of outreach)

Average days between last order and churn flag (how early you're catching the signal)

Support ticket volume from at-risk customers as a % of total ticket volume

Comparison

What this replaces

The other ways teams handle this today, and how the Starch version compares.

Klaviyo win-back flows alone

Klaviyo can trigger emails based on last purchase date, but it has no visibility into failed Stripe payments or refund history — so it catches email-disengagement churn but misses payment-failure churn entirely.

Gorgias + manual tagging

Gorgias is strong for support ticket management but it doesn't pull Shopify LTV or Stripe payment data automatically — you're still manually identifying which support customers are also high-risk for churn.

Spreadsheet + Shopify exports

Most DTC founders start here: export orders weekly, sort by last order date, paste into a sheet. Works for 200 customers; breaks at 2,000; impossible at 5,000 — and it still misses the payment and engagement signals.

Retention-focused analytics tools (e.g. Lifetimely, Triple Whale)

These give you cohort retention dashboards but are read-only — they surface the insight but don't send the win-back email, triage the support ticket, or let you customize the churn logic without a developer.

On Starch RECOMMENDED

One platform — crm, founder inbox all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.

Try it on Starch →

FAQ

Frequently asked questions

Does Starch actually connect to Shopify, or do I need a developer to set up a custom integration?

You connect Shopify from Starch's integration catalog directly — no developer required. The agent queries your order history, customer records, and refund data live when your churn app runs. There's no code and no webhook configuration on your end.

What if a customer's churn signal comes from Klaviyo engagement dropping, not from a missed order? Can Starch detect that?

Yes. Connect Klaviyo from Starch's integration catalog and tell Starch what engagement-drop threshold matters to you — for example, 'flag any customer whose open rate across the last 4 campaigns fell below 8%.' The agent includes that signal in the risk score alongside order history and payment data.

I'm not SOC 2 certified — is Starch?

Starch is not SOC 2 Type II certified today. That's worth knowing before you connect systems that hold customer PII. If compliance certification is a hard requirement for your store, that's an honest reason to wait. It's on Starch's roadmap.

Will Starch automatically send win-back emails, or do I have to approve them?

Your call. You can build the automation either way — draft and hold for your approval before sending, or auto-send to customers below a certain risk score where you're confident in the message. Most founders start with draft-and-review until they've tuned the email copy, then automate the low-risk sends.

What if I want to flag churn risk based on custom logic specific to my product — like subscription cadence or bundle type?

Just describe it. Tell Starch: 'For customers on the monthly bundle, flag as At Risk after 45 days with no renewal. For one-time purchasers, use 90 days.' Starch builds the logic into the app. You're not choosing from preset rules — you're describing your business and the app reflects it.

Can Starch reach a platform I use that isn't Shopify or Stripe — like a 3PL portal or a niche loyalty app?

Starch connects to 3,000+ apps through its integration catalog, plus any website through browser automation. If your 3PL or loyalty platform has a web interface you can log into, Starch can automate it through your browser — no API needed. Describe the workflow and Starch figures out how to reach the data.

The Customer Support Agent app sounds like exactly what I need for handling at-risk customer tickets automatically. Is it available now?

Customer Support Agent is coming soon — it's currently in development. You can request beta access to get notified when it launches. In the meantime, the Email Triage app (live today) handles inbox prioritization and reply drafting for your Gmail, and you can wire it to your churn-risk CRM to surface at-risk customer emails automatically.