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▶ Watch the 30-second explainer  ·  All videos
FOR E-COMMERCE OWNERS

E-commerce owners stop customers from disappearing

Inactive customers leak revenue while you focus on new ones. Our system wakes them up with personalized messages that turn silent accounts back into repeat buyers.

Unlock the dossier · $5 See the build below
Engagement AI.
How it works Use cases Features Start free week
For e-commerce founders and SaaS ops leads running 1k to 50k contacts

Stop losing customers you never knew were leaving

Your customers stop coming back and you have no idea when it happened. Engagement AI keeps them connected through email, SMS, and in-app messages that work from one playbook. The honest design intent: flag at-risk customers from behavioral signals (drop in opens, no recent purchase, declining session frequency) before they disappear, instead of running a post-mortem after the cancel email. Try it free for a week, no contract, see which campaigns actually drive repeat revenue.

yourcompany.com/winback-sequence-builder
Try it

Build a churn-rescue sequence

Win-back Post-purchase Cart recovery
Generate sequence
Live result
Segment size1,284 contacts (12.3% of list)
Channel mixEmail day 1, SMS day 4, in-app day 7
Predicted reply lift+18% over single-channel baseline
Revenue at risk$42,800 over next 60 days
$125
Starting price per month
72
Adoptability score
$120k
Year-1 ARR target (mid)

Before and after the switch

What changes when one system owns the conversation instead of four disconnected tools.

Before

Before Engagement AI

  • Customers stop coming back and nobody knows when it happened
  • Email tool, SMS tool, in-app tool, none of them talk to each other
  • Klaviyo flows fire on stale segments because data lives in five places
  • Churn dashboards show the bleed only after the customer is gone
  • Growth lead writes campaigns by hand at 11pm on Sunday
With Engagement AI

After Engagement AI

  • One inbox routes email, SMS, and in-app from a single playbook
  • At-risk customers flagged before they ghost, not after churn
  • Reply rates climb because messages match where buyers actually are
  • Campaign attribution shows which sequences drive repeat revenue
  • Setup runs in an afternoon, no contract, kill it inside a week

From signup to first rescued customer

Four steps, thirty days, no contract.

1

Connect your stack (15 min)

Plug in Shopify, Stripe, or your SaaS database. We import 90 days of order and event history while you make coffee.

2

Pick a playbook (day 1)

Choose win-back, post-purchase, or cart recovery. The system pre-fills segments and copy from your own brand voice, not a template library.

3

Watch the at-risk list fill (week 1)

By day 5 you have a named list of customers the model thinks will churn in the next three weeks. You decide which ones get a sequence.

4

Measure repeat revenue (day 30)

Dashboard shows dollars recovered per sequence and per channel. Kill what does not work, scale what does, or walk away with the playbooks.

Who runs this

Four buyer profiles where the math works on day one.

Shopify operator

DTC brand losing repeat buyers

You have 5k to 30k past customers and no idea which ones are about to ghost. Engagement AI flags them by week one and runs the rescue sequence while you focus on acquisition.

SaaS ops lead

B2B tool with usage-based churn

Trial-to-paid is fine, month 3 retention is not. The model watches login frequency and feature depth, pings the at-risk accounts before the cancel email lands.

Agency growth lead

Running lifecycle for 10+ clients

Stop hand-building Klaviyo flows at midnight. One workspace, multiple client accounts, shared playbooks that adapt to each brand voice automatically.

Course or community owner

Cohort drop-off after week 2

Members go quiet and never come back. Engagement AI nudges by email and in-app based on activity signals, not calendar dates, so the right message lands at the right moment.

What it actually does

Three jobs, done well. Not a vanity dashboard pretending to be insight.

One playbook, three channels

Email, SMS, and in-app messages run from a single sequence so a reply on one channel pauses the others. No more customers getting the same nudge four times in a day.

Churn signals before the churn

The model flags accounts whose behavior matches your last 90 days of cancellations, usually 14 to 21 days before they go dark. You get a list of names, not a dashboard.

Attribution that ties back to revenue

Every sequence reports the repeat orders and dollars it produced, not opens and clicks. If a campaign is not paying for itself, the system tells you to kill it.

Catch the churn before it leaves

Run it on your store for 30 days. If repeat purchase rate does not move, you keep the playbooks and we refund the month.

Start free week
Turn passive audiences into active conversations.
Built by Wishdeal Studio · About
Who this is for
  • B2B operators looking for productized point-solutions, agency owners reselling to clients
Who this is NOT for
  • Pure consumer apps, anyone needing custom enterprise contracts, hardware-first products
What you'd actually adopt

shippable in 4 to 6 weeks. Year-1 ARR mid-case around $120K (estimate). Investment to production around $28K. probability of meaningful success around 14%, by Fermi heuristics.

Adoptability 74/100 Estimates only What you should expect →
Resources for this product
  • FAQ
  • Email drip
  • Outreach pack
  • Skeptic memos (1)

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Want Engagement AI built out, or handed over?

This is not a purchase and there is no card field. It puts your address, this product, and whatever you write below in front of a person, and you get a written answer about what finishing it, or handing it over for you to run yourself, would actually take.

  • A person reads these. Expect a reply in days, not minutes.
  • Your address is used to answer you. No sequence, no list, no sharing.
  • Ask to be removed and you are removed.

Prefer the team to build it and run it for you? That is the operator partnership.

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