80+ DTC Brands

SUBSCRIPTION SYSTEM ALREADY LIVE

Turn your subscription cohort data into tests that ship every month.

Someone who does this daily reads your subscription data, picks the test that matters, and builds it. Every month, against a baseline.

WORKS WITH

Does this sound like you?

Your flows went live and nobody has opened them since. Whoever wrote them moved on to the next thing.

Your cohort data takes 90 days to mature, so nobody reads it monthly. By the time someone does, a quarter of your decisions were guesses.

Your tests run without a baseline. The result is real. Nobody can say what moved it.

Holiday and promotional cohorts sit inside the same averages as everyone else, so every test is measured against polluted data.

The person who owns retention is too close to it. After a year inside the same account, the gaps stop being visible.

CASE STUDY

$148 More Lifetime LTV, From One Cohort Read

SunMed is a fast-scaling CBD subscription brand with 300+ stores. Frequency segment analysis showed a subscriber moving from 3-month to monthly billing was worth $148 in additional lifetime LTV.

That became a cancel flow rule: offer the frequency switch before any discount.

$148

additional LTV

37.2%

cancel save rate

25%

subscriber growth

Most retention work stops at the recommendation.

A built subscription system decays quietly.

Flows go live and nobody opens them again.
Cohorts take 90 days to mature, so nobody reads them monthly.
Tests run without a baseline, so nobody can say what moved.

Most brands respond by testing more.
More tests against an unread baseline produce more noise.

We do the opposite. One read. One test. One result you can act on.

One supplement brand came to us with a lifecycle already live.
The first cohort read showed 32% of subscribers lost between order 1 and 2, 44% between order 2 and 3, and only 37 of every 100 reaching a third order.
Pause and skip usage was close to zero.
That set the next three tests.

We work inside your subscription platform, not just your email tool.
Cancel logic, dunning rules, pause and skip behaviour and the customer portal all sit in Recharge or Skio.

Most retention consultants stop at the recommendation.
We take it to shipped, whether we build it or your team does.

CASE STUDY

41% → 63% 90-Day Repeat Purchase Rate

Boka is a fast-scaling oral healthcare subscription brand.
Month 3 subscription retention sat below 50%.

We rebuilt the lifecycle as a connected habit-formation system. Same brand, same products, better retention.

63%

90-Day RPR

42%

higher 6-month LTV

10.4%

higher AOV

Introducing The
SUBSCRIPTION LTV OPTIMIZER™

A monthly system that reads your subscription cohorts, picks the largest measurable gap, and ships one optimization against a baseline.

Phase 1: Analysis

We pull and read your subscription data every month. You get a written read, not a dashboard screenshot. What changed, what caused it, what to do about it.

1. Cohort Analysis

Order-to-order retention and where the cohort drops. Lapse point and whether it is moving. Active versus passive churn, split. Take rate against your category benchmark. LTV by frequency segment.

2. Cancel Flow Analysis

Cancel reasons, save rate against a 25-33% benchmark, dunning and payment recovery rates. Every gap sized in dollars at risk.

3. Automations Analysis

Your existing lifecycle coverage against the nine flows a full subscription program needs, then a prioritized list ordered by the size of the measurable gap.

Phase 2: Optimization And A/B Test Plan

One improvement per month. Built, live, and run as an A/B test where volume supports it. It rotates across three levers, so the same area is not optimized twice while another goes untouched.

4. Increase Take Rate

One-time to subscriber conversion, PDP and cart placement, and reactivation of lapsed subscribers.

5. Increase Retention Rate

Cancel treatments, dunning, pause and skip, and lapse point intervention.

6. Increase LTV

Frequency structure, add-ons, bundles and milestone offers.

Phase 3: Post Test Analysis

The result and the reason, both ways. A test that fails against a clean baseline is worth more than a test that wins against a dirty one, because you can act on it.

7. Post Optimization Analysis

What moved, what caused it, what it is worth, and the next test set against the same baseline.

8. Two Calls A Month

One to review the read and agree the test. One to review the result and set the next.

9. Slack Availability

Real time communication for any quick clarity, with replies under 24 hours to sync between calls.

Worked For 30+ Subscription Brands Like You

CASE STUDY

69% → 79%

Returning Customer Rate

CASE STUDY

31% → 47%

Repeat Purchase Rate in the Middle East

CASE STUDY

44% → 58%

90-day Repeat Purchase Rate

What You Get With
SUBSCRIPTION LTV OPTIMIZER™

Monthly cohort read, written. What changed, what caused it, what to do about it.

KPI dashboard built and maintained against your baseline. The same numbers every month, shared with whoever needs them. No new tools, no new subscriptions.

One optimization built, shipped and measured each month, with A/B test setup and result analysis where volume supports it.

Platform monitoring. Dunning performance, failed payments, and the policy and compliance changes that affect your program.

Slack availability with replies under 24 hours, plus two calls a month.

Done with you. Your team keeps running the program. We read the data and hand them a test to approve.

Three month minimum, then monthly. No notice period, no exit fee.

Works With Your Tech Stack

Before Vs After
SUBSCRIPTION LTV OPTIMIZER™

❌ Without A Monthly Read

Cohorts mature unread

Tests run without a baseline

Promotional cohorts pollute averages

Recommendations sit in a deck

Nobody can say what moved

✅ With The Optimizer

Cohorts read every month, in writing

Every test measured against a baseline

Promotional cohorts split out

One optimization shipped every month

You know what moved and why

Words From Subscription Founders

Our biggest focus was consistency, and I love that RetainUP built on that. Their work is so much better than what we did, I mean, I can’t even compare.

Unlike other email agencies we have worked with, they have a deep understanding of the subscription journey.

I had them do our subscription lifecycle. In a month, they generated higher subscription revenue than our past performance.

They take subscriber retention seriously. The repeat purchase journeys are exactly what we needed.

40% of store revenue comes from RetainUP’s automations. Best investment we’ve made.

They understood our customers and built the right lifecycle automations. $40-60K extra every month.

Is This System Right
for Your Brand?

This is for you if...

You have 5,000+ active subscribers, or $500K+ in monthly subscription revenue

Your lifecycle system is already live, whether we built it or someone else did

You're on Recharge, Skio, StayAI or Loop, with Klaviyo or equivalent

You have someone internally who can approve a test

You want one test shipped a month, not five recommendations

This is not for you if...

You don't have a subscription system built yet. Start with the Subscription LTV Maximizer™.

Your subscriber base is too small for a monthly cohort read to mean anything

You're looking for campaign management or general email marketing

You want a strategy deck instead of a shipped test

You need a new result every week

Hi, I'm Rahi Jain.

Subscription LTV Specialist

I help DTC brands maximize their LTV from subscriptions. I’ve been in ecommerce since 2009, and from 2012 to 2019 I scaled my own fashion brand past $20M. I know how much growth depends on customers coming back.

When I started my agency, we built email for DTC brands. The flows looked great. Subscribers still left. The problem was never the email. It was the offer they subscribed to, how often the box arrived, and what happened when they clicked cancel.

So I stopped selling email and started fixing subscription programs. The offer first, then the subscription platform, then the messaging. That is how the Subscription LTV Maximizer™ and Optimizer™ came together.

I’ve worked with 80+ DTC brands, including Bioderma, Boka and SunMed. I work directly with every brand and take only 4-6 new brands a quarter.

2009

In ecommerce since

80+

DTC brands

30+

Subscription programs

Subscription breakdowns on YouTube

Every week I pull apart how a big subscription brand runs its program, and what a $1-10M brand can copy.

Dr. Squatch subscription breakdown

How a $1.5B brand sells $6 soap on subscription.

Grüns subscription breakdown

Inside a $1.2B program, and what a smaller brand can copy.

IM8 subscription breakdown

Beckham's $188M brand, scored 64 out of 80.

Mars Men subscription breakdown

A $100M program scored 62 out of 100.

Subscription offer structure

The five-step framework behind every offer we build.

Cancel flow

How to build one that saves one subscriber in three.

Cohort analysis

The reports that show why subscribers stop reordering.

Frequently Asked Questions

How is this different from the Subscription LTV Maximizer™?

The Maximizer builds the system in 30 days. The Optimizer reads the data it produces and improves one thing at a time. Different jobs. You shouldn’t pay retainer prices for a build, and you can’t run the second job without a system already live.

Do we need to have done the Maximizer first?

No. If your lifecycle is already built, by your team or another agency, we start with a baseline read of what exists.

We already have someone on retention. Where do they fit?

They keep running the program. Most in-house retention people are absorbed by campaigns, promotions and BFCM. The subscription cohort rarely gets read monthly because it takes a quarter to mature. We do that piece and hand them a test to approve.

How do you decide what to optimize?

The cohort read decides. We work the largest measurable gap first, then rotate across the three levers so the same area doesn’t get optimized twice while another goes untouched.

What access do you need?

Read access to your subscription platform and your email platform. Build access when a test is ready to ship. No customer data leaves your systems.

How quickly will we see results?

The first read lands inside two weeks and usually contains something nobody has looked at. Test results follow the length of your billing cycle, so a monthly subscription program reads faster than a quarterly one. Compounding shows across the second and third months.

Can we pause or cancel?

Monthly after the first three months. No notice period, no exit fee.

Ready To Read Your Subscription Cohorts?

One read, one test, one result you can act on. Every month.

WHAT HAPPENS NEXT

Book a 30-minute slot on the calendar.
Share your store URL and answer a few quick questions about your subscription program.
We score 8 subscription dimensions live on the call. You walk away with the audit and your top 3 fixes.

Turn your subscription cohort data into tests that ship every month.

Does this sound like you?

Most retention work stops at the recommendation.

Introducing The SUBSCRIPTION LTV OPTIMIZER™

Phase 1: Analysis

1. Cohort Analysis

2. Cancel Flow Analysis

3. Automations Analysis

Phase 2: Optimization And A/B Test Plan

4. Increase Take Rate

5. Increase Retention Rate

6. Increase LTV

Phase 3: Post Test Analysis

7. Post Optimization Analysis

8. Two Calls A Month

9. Slack Availability

Worked For 30+ Subscription Brands Like You

69% → 79%

31% → 47%

44% → 58%

What You Get With SUBSCRIPTION LTV OPTIMIZER™

Before Vs AfterSUBSCRIPTION LTV OPTIMIZER™

❌ Without A Monthly Read

✅ With The Optimizer

Words From Subscription Founders

Kristen Osborn

Juan Palacio

John Lawlor

Hitesh Dhingra

Matthew Redmond

Brian Godwin

Is This System Rightfor Your Brand?

This is for you if...

This is not for you if...

Hi, I'm Rahi Jain.

Subscription breakdowns on YouTube

Dr. Squatch subscription breakdown

Grüns subscription breakdown

IM8 subscription breakdown

Mars Men subscription breakdown

Subscription offer structure

Cancel flow

Cohort analysis

Frequently Asked Questions

Ready To Read Your Subscription Cohorts?

Introducing The
SUBSCRIPTION LTV OPTIMIZER™

What You Get With
SUBSCRIPTION LTV OPTIMIZER™

Before Vs After
SUBSCRIPTION LTV OPTIMIZER™

Is This System Right
for Your Brand?