Choose your B2C planning path.
One decision, then the right model.
Consumer businesses make money in very different ways. Tell us how yours works and we'll point you to the specialist model, DTC and retail, a consumer app, or a subscription, each with the acquisition, retention, and payback math that fits.
Startup Suite is an AI planning workspace that helps consumer founders choose the right planning path and model acquisition, retention, and payback.
This page is forconsumer founders deciding how to plan, DTC/retail, a consumer app, or a subscription.
- Acquisition by channel
- Repeat purchase & retention
- Pricing & LTV
- CAC by channel
- Cost of goods & fulfilment
- Retention & loyalty spend
- Cohort LTV & payback model
- Channel-mix plan
- Consumer growth model
- Forecast Engine
- Scenario Workbench
- AI mentors
You shouldn't need a finance team to answer this
The everyday questions this module makes simple.
CAC keeps creeping up
Acquisition gets more expensive and you can't see when it stops paying back.
Retention is a black box
You know people buy once, you don't know how many come back, or what that's worth.
Channel ROI is a guess
Spend is spread across channels with no clear read on which actually works.

See what changes when your consumer assumptions move
Edit CAC and retention and watch LTV, payback, and channel ROI recompute, then test a CAC increase against a retention improvement.
Model acquisition by channel, repeat purchase, and retention into cohort LTV and payback so you can defend the money you spend to grow.
- Assumptions
- Model
- Scenarios
- Mentor Review
- Outputs
AI mentorCurrent acquisition and retention, LTV clears CAC with a payback under five months.
Not a dashboard, a model that connects end to end.
Editable assumptions change the model, scenarios expose the trade-offs, an AI mentor explains the risk, and the result is an output you can defend. Example view · illustrative.
Edit CAC by channel and repeat rate
Editable assumption
LTV, payback, and contribution recompute
KPI impact
Compare base, CAC-up, and retention-up
Base / upside / downside
Flags the channel that stops paying back
AI risk insight
Consumer growth model
What you can defend
Illustrative, capabilities and typical targets, not guaranteed outcomes.

Why founders reach for this
One decision, then the right model.
True unit margin, inventory, and returns, see the e-commerce model below in 'Founders also explored'.
- DTC & retail
- Consumer app
- Subscription & membership
Decisions you can make this week
Practical calls this module helps you get right, no finance background needed.
The capabilities that earn the work.
DTC & retail
True unit margin, inventory, and returns, see the e-commerce model below in 'Founders also explored'.
Consumer app
Installs, retention, and LTV/CAC, see the mobile-app model.
Subscription & membership
Recurring revenue and churn, see the SaaS model for subscription math.
Still deciding
Whatever the model, plan CAC, repeat purchase, LTV, and channel payback here first.
From signal to decision.
- 1
Connect ads & sales
Pull spend and orders by channel.
- 2
Set CAC & repeat
Acquisition cost and repeat behaviour per cohort.
- 3
Model LTV
Retention and pricing roll up into lifetime value.
- 4
Optimise the mix
Put budget where payback is strongest.
More than a spreadsheet, more than a consultant
| Feature | Spreadsheetthe old way | Consultant$10k+ / model | Startup Suiteconnected workspace |
|---|---|---|---|
| CAC and LTV per channel (not blended) | Manual | ||
| Cohort retention drives lifetime value | Hard | ||
| Scenario compare (CAC / channel / retention) | Tabs | On request | |
| AI mentor explains the payback risk | Hourly | ||
| Consumer growth model output |
- CAC and LTV per channel (not blended)
- Manual
- Cohort retention drives lifetime value
- Hard
- Scenario compare (CAC / channel / retention)
- Tabs
- AI mentor explains the payback risk
- Consumer growth model output
- CAC and LTV per channel (not blended)
- Cohort retention drives lifetime value
- Scenario compare (CAC / channel / retention)
- On request
- AI mentor explains the payback risk
- Hourly
- Consumer growth model output
- CAC and LTV per channel (not blended)
- Cohort retention drives lifetime value
- Scenario compare (CAC / channel / retention)
- AI mentor explains the payback risk
- Consumer growth model output
Built for your specific model.
E-commerce / DTC
Physical product sold online, model true margin, inventory, and acquisition payback.
Output · Margin & cash model
See the E-commerce / DTC modelConsumer apps
Mobile or web apps, model installs, retention, and LTV/CAC across monetization.
Output · App-economics model
See the Consumer apps modelSubscriptions
Recurring consumer revenue, model churn, repeat, and lifetime value like a SaaS.
Output · Recurring LTV model
See the Subscriptions modelRetail
Physical stores and stockists, model traffic, basket, and per-location economics.
Output · Per-location model
See the Retail modelCreator-led
Audience-driven products and memberships, model conversion from reach to recurring revenue.
Output · Creator revenue model
See the Creator-led modelLocal consumer services
Bookings and capacity-based consumer services, model utilization and repeat custom.
Output · Utilization model
See the Local consumer services modelQuestions founders ask
Do you model CAC and LTV by channel?+
Yes, acquisition cost, repeat purchase, and retention are modelled per channel and cohort, so payback is clear.
Can I see which channels pay back?+
Yes. Channel mix and payback are modelled, so you can shift budget to what works.
What is a B2C financial model?+
It models customer acquisition by channel, repeat purchase, and retention into cohort LTV and payback, so the money you spend to grow is tied to what it returns.
Is this just a spreadsheet template?+
No. Edit CAC or retention and LTV and payback update live, scenarios compare side by side, and an AI mentor flags the channel that stops paying back.
Which B2C model should I use?+
DTC/retail → the e-commerce model; a consumer app → the mobile-app model; a subscription → the SaaS model. This page routes you to the right one.
Adjacent capabilities.
Make this the last spreadsheet you build
Build your plan, connect your data, and see this working on your own numbers, no finance team required.
From idea to investor-ready · built for founders, not finance teams