B2C Foundations Playbook
Get your audience, offer and growth basics right in 60 to 90 days
Eight steps to pick a winnable customer, position and price one clear offer, run two channels, fix the store and the first emails, and read one weekly number, with one fictional consumer brand worked through every step.
By Saroj Jha, founder of AAJ. 10 min read, 8 steps, 8 figures, 6 references.
A consumer brand’s foundation is four written decisions: who you sell to first, what you promise them, the one offer they buy and the two channels that reach them, plus one weekly number that says whether it works. Get them right in 60 to 90 days and you stop guessing. The eight steps below show how, with one example brand.
What you will build
- Steps 1 and 2 A customer brief and a positioning Best-fit buyers, the desire you serve and one brand promise
- Step 3 One offer, priced on purpose A hero product, one way back and a shipping rule
- Steps 4 to 6 A 90-day growth plan Two channels, a store that matches and three email flows
- Steps 7 and 8 A weekly scorecard and a retrospective Five funnel events, a normal range and the next 90 days
Worked example: Example Co. (fictional), in every step. Pairs with the Startup Marketing Plan (template) and the Positioning Statement Generator (free tool).
It is for DTC brands, ecommerce stores, consumer apps and subscriptions, from pre-launch to about $3 to 5 million in annual revenue, whose sales are inconsistent. Steps 1 to 3 take weeks 1 to 3, Steps 4 to 6 weeks 4 to 6, and Steps 7 and 8 weeks 7 to 12.
Step 1 of 8
Pick a winnable customer and the problem you solve
Stop trying to speak to everyone. Sort the people in your own orders: best fit (who buys with the least friction, and who comes back or spends more) and misfit (who browses but rarely buys, or creates support headaches). Then write down the problem or desire you serve (“healthy food is too inconvenient”, “I want to feel more confident”) and the triggers that make people buy: events, seasons, life moments. Before launch, customer interviews give you the words.
Reordered within 120 days
Share of first orders
- 1 Plastic-cutters 34% of first orders, 41% reorder. Focus.
- 2 Sensitive skin 26% of first orders, 38% reorder. Focus.
- 3 Discount-code buyers 22% of first orders, 12% reorder. Not now.
- 4 Gift buyers 18% of first orders, 9% reorder. Not now.
Show the numbers as a table
| Group | Share of first orders | Reordered within 120 days | Decision |
|---|---|---|---|
| Plastic-cutters | 34% | 41% | Focus |
| Sensitive skin | 26% | 38% | Focus |
| Discount-code buyers | 22% | 12% | Not now |
| Gift buyers | 18% | 9% | Not now |
Example Co.’s first-time buyers in its first 1,200 orders, by group. Both axes are drawn to scale. Example Co. and its numbers are fictional.
Step 2 of 8
Write the positioning and the brand story
Say what you are, who you are for and why you are different, in plain language. Draft a statement: For [who], who want [outcome], [brand] is a [category] that [key benefit]. Then write one brand promise, the big “why us”, three to five supporting points (quality, style, convenience, social proof or values) and the homepage hero. The Positioning Statement Generator gives you a first draft.
1 Positioning statement Internal; never published
For people cutting plastic from the bathroom who still want to feel fresh all day, Example Co. is a refillable deodorant that lasts from morning to night, with no aluminum and no plastic.2 Brand promise The big “why us”
Fresh all day, nothing to throw away.3 Supporting points Each one provable
- A case that lasts for years; refills in compostable paper
- A baking-soda-free formula for sensitive skin
- A refill subscription that arrives before you run out
- 640 reviews, 4.6 stars on average
4 Homepage hero What a visitor reads first
The refillable deodorant that lasts all day. No plastic, no aluminum. Refills from $10 a month.
Example Co.’s positioning, promise, points and hero, in the order they are written. Example Co. and its numbers are fictional.
Step 3 of 8
Build one simple offer and price it on purpose
Choose the core offer (a hero product, collection, starter kit or subscription), price it against the alternatives your customer actually compares, and decide when, if ever, to use launch discounts, free-shipping thresholds or bundles.
Selling a subscription in the US? The Restore Online Shoppers’ Confidence Act requires you to disclose all material terms clearly before taking billing details, get express informed consent and give a simple way to stop the charges[1]. The FTC’s 2024 click-to-cancel rule was vacated in court in July 2025; in March 2026 the FTC restarted rulemaking[2], so check current federal and state rules before launch.
What a month of deodorant costs the customer
- Hero offer $38 starter kit A case and three refills
- One way back 3 refills for $30 Every three months, so $10 a month
- Shipping rule Free over $45 And on every subscription; shipping costs about $6 an order
- Retired 30%-off codes They brought buyers who did not come back
Show the numbers as a table
| Option | Cost per month |
|---|---|
| Drugstore stick | $4 |
| Natural-brand stick | $8 |
| Example Co. subscription | $10 |
| Example Co. single refills | $11 |
Cost per month assumes one refill or stick lasts about a month. The alternatives are Example Co.’s own shelf estimates. Positions on the line are to scale. Example Co. and its numbers are fictional.
Step 4 of 8
Choose one or two channels you can run every week
Audit what you have tried: organic social (Instagram, TikTok, Pinterest), paid ads (Meta, Google, TikTok, influencers), email and SMS, and marketplaces, affiliates or PR. Then choose one or two primary channels you can run consistently, for example creator seeding with retargeting. Everything else goes on a “not now” list for 90 days.
A Buyers are there B Cheap to test C Two people can run it weekly D Has sold so far
None Some Strong
Show the numbers as a table
| Channel | Buyers are there | Cheap to test | Two people can run it weekly | Has sold so far | Total | Decision |
|---|---|---|---|---|---|---|
| Creator seeding, best posts run as Meta ads | 4 | 3 | 3 | 4 | 14 | Primary |
| Email capture with a scent quiz | 3 | 4 | 4 | 3 | 14 | Primary |
| Instagram posts | 3 | 4 | 2 | 1 | 10 | Not now |
| TikTok Shop | 3 | 2 | 1 | 0 | 6 | Not now |
| Amazon | 2 | 2 | 1 | 0 | 5 | Not now |
| 2 | 3 | 2 | 0 | 7 | Not now | |
| Press coverage | 2 | 3 | 1 | 1 | 7 | Not now |
Example Co.’s channel audit. Each ball fills by quarters, from none to strong; the total is out of 16. Example Co. and its numbers are fictional.
Step 5 of 8
Make the site and the store match the story
A new visitor should see at once what you sell, who it is for and why it is different: a clear homepage hero, product pages with benefits, ingredients or sizing and reviews, and a cart with no surprises on price, shipping or returns.
Surprises cost the most: in Baymard Institute’s latest checkout survey, 40% of US shoppers who had abandoned a checkout, leaving aside those just browsing, said extra costs such as shipping, tax and fees were too high[3]. Reviews help: at one high-end gift retailer, across 1,800 products and 15.5 million page views in a year, a product with five reviews was 270% more likely to be bought than one with none[4].
- 1 Product, outcome and who it is for In the photo and the first line: what it is, what it does and for whom.
- 2 Reviews near the top Social proof before the buyer scrolls, not at the bottom of the page.
- 3 Three benefits Taken from the supporting points in Step 2.
- 4 Ingredients and usage One tap away, for the sensitive-skin buyer who checks.
- 5 Price, shipping and returns at the button No surprises later in the cart or at checkout.
Example Co.’s redesigned product page, drawn as a wireframe. The checklist follows Step 5; the copy and numbers are fictional.
Step 6 of 8
Set up three simple email and SMS flows
Three flows bring people back without complex automation: a welcome series of two to four emails (story, hero products, social proof, common questions) that stops when the person buys; light cart and browse reminders that reassure on fit, quality and returns; and post-purchase emails with a thank-you, how to get the most from the product and a simple cross-sell. Text only people who opted in to texts, and keep a record of each opt-in. The SMS and WhatsApp Marketing for Startups post covers consent, sender registration and what to send.
- Joins W1
- 1
- 2 W2 C1
- Buys C2 P1
- 4 T1
- 5 W3
- 6 P2
- 7
- 8
- 9 W4
- 10
- 11
- 12
- 13
- 14
- 15
- 16
- 17
- 18
- 19
- 20
- 21
- 22
- 23
- 24 P3
- 25
- 26
- 27
- 28 P4
- 29
- 30
- 31 T2
- 32
- 33
- 34
W Welcome email C Cart reminder P Post-purchase email T Text, opted in only W Skipped
- W1 Welcome: the founders’ story
- W2 Welcome: hero products and reviews
- C1 Cart reminder, 1 hour after she leaves
- C2 Cart reminder, next day; she buys
- P1 Thank you and order details
- T1 Text: shipped
- W3 Welcome email 3: skipped, she bought
- P2 How to get the most from it
- W4 Welcome email 4: skipped
- P3 Day 21 after purchase: how is it going?
- P4 Day 25: subscribe before the refill runs out
- T2 Text: refill reminder
Day 0 is the day she joins the list through the scent quiz. Three flows, ten messages, two skipped. Example Co. and its numbers are fictional.
Step 7 of 8
Measure a simple funnel and review it every week
Measure just enough to decide well: sessions, product views, add to cart, checkout start, order. In Google Analytics 4 the last four are the recommended events view_item, add_to_cart, begin_checkout and purchase [5]. Tag links with UTMs (see the tracking setup post) and track three to seven weekly metrics, such as checkout completion, orders and average order value.
Review them weekly, deciding in advance when a bad week is noise. My rule of thumb, not a published standard: weekly orders swing by about the square root of the average, so at 30 orders a week most weeks fall between about 19 and 41. Look into a week outside that range, not one inside it.
One week of Example Co.’s funnel, as GA4 events
- Sessions 3,000
automatica typical week - Product views 1,350
view_item45% of the step before - Add to cart 150
add_to_cart11% of the step before - Checkout start 75
begin_checkout50% of the step before - Order 30
purchase40% of the step before
Orders per week, against the normal range
1 2 3 4 5 6 7 8 9 10 11 12
Week
Reading it: weeks 3 and 7 look bad but sit inside the range, so they are noise. Weeks 10 to 12 sit above it, so the change is real.
Show the numbers as a table
| Week | Orders | Inside the range? |
|---|---|---|
| 1 | 27 | Yes |
| 2 | 33 | Yes |
| 3 | 24 | Yes |
| 4 | 31 | Yes |
| 5 | 36 | Yes |
| 6 | 28 | Yes |
| 7 | 22 | Yes |
| 8 | 32 | Yes |
| 9 | 38 | Yes |
| 10 | 44 | Above |
| 11 | 42 | Above |
| 12 | 45 | Above |
The range is the average plus or minus two times its square root, a rule of thumb for counts that vary by chance. Event names are GA4’s recommended events[5]. Example Co. and its numbers are fictional.
Step 8 of 8
Run the retrospective and plan the next 90 days
Review which segments came back, which messages pulled best and which channels drove revenue, not clicks. Then write one page: two or three plays to do more of, one or two to stop, and the gaps.
Judge repeat rates against your size. In any period a small brand typically has far fewer buyers than a larger one, and its buyers tend to buy it less often, a pattern called double jeopardy[6]. So, in my view, retention alone will not carry a young brand; reaching more of the right new buyers matters at least as much.
Under 15% 15 to 21% 22 to 29% 30% or more
Show the numbers as a table
| First bought in | Within 1 month | Within 2 months | Within 3 months |
|---|---|---|---|
| Month 1 | 10% | 16% | 22% |
| Month 2 | 11% | 17% | 24% |
| Month 3 | 9% | 15% | 23% |
| Month 4 | 12% | 18% | 26% |
| Month 5 | 15% | 26% | 36% |
| Month 6 | 17% | 28% | 39% |
Share of each month’s new buyers who ordered again, cumulative. Months 5 and 6 had the subscription and the day-21 email. Example Co. and its numbers are fictional.
What changes by stage?
Pre-seed
With no orders to sort, run Step 1 from interviews and price against the products interviewees name. Start with one channel and the welcome flow, and count orders by hand.
Seed
Enough orders to tag groups and read cohorts, so run all eight steps as written.
Series A–B
Repeat the foundation for each segment or product line, read cohorts by acquisition channel, and test incrementality before you scale paid spend.
What mistakes should I avoid?
- Letting discount buyers define your customer. Code-driven orders inflate sales and hide who comes back; read reorder rates by group first.
- Stacking discount codes. Codes on top of codes cut margin and blur the offer; one offer and one way back is easier to buy.
- Publishing the positioning statement. It is a filter for your decisions; customers should read the promise and the points.
- Scaling ads before the flows are on. A paid visitor who leaves without a welcome email or a cart reminder is usually gone.
- Reading the funnel without UTM tags. Untagged links tend to show up as direct or referral traffic and hide which channel sold.
Common questions
How long does the B2C foundations work take?
About 60 to 90 days. Steps 1 to 3 (customer, positioning and offer) take weeks 1 to 3, Steps 4 to 6 (channels, store and email flows) weeks 4 to 6, and Steps 7 and 8 (weekly measurement and the retrospective) weeks 7 to 12. You can compress or extend it.
How is this different from the B2B version?
The B2C edition follows a consumer’s short path to purchase: one offer and its price, the online store and checkout, email and SMS flows, and channels like creators and social. The B2B edition is built around buying groups and longer sales cycles.
Can I use this playbook before launch?
Yes. Run Step 1 from customer interviews instead of order data, price against the products your interviewees name, start with one channel and a welcome flow, and count orders by hand from the first week.
How many marketing channels should a new consumer brand run?
One or two you can run every week, with everything else on a written “not now” list for 90 days. Score each channel on whether your buyers are there, what a test costs, whether your team can run it weekly and whether it has sold anything yet.
How do I tell a bad week from a real problem?
Set a normal range first. Weekly orders swing by chance by about the square root of the average, so at 30 orders a week most weeks fall between about 19 and 41. A week outside the range is worth investigating; a low week inside it is noise. This is a rule of thumb, not a published standard.
Use with this playbook
Playbooks
- Brand Foundations Playbook: Go deeper on the promise and identity behind Step 2.
- Product Launch Playbook (B2C edition): Launch the offer from Step 3 with a waitlist and a launch week.
- Website & Conversion Optimization Playbook (B2C edition): Test the store changes from Step 5.
- Analytics & Attribution Playbook (B2C edition): Grow Step 7’s scorecard into channel attribution.
Articles
- Which marketing channels should a startup start with?: How to choose the first one or two channels.
- Meta Ads for Startups: Facebook and Instagram after the privacy changes.
- The Authenticity Audit for Creator Marketing: Tell a real creator recommendation from an expensive imitation.
- Tracking Setup for Startups: GA4 events and UTMs for the funnel in Step 7.
Templates and tools
- Startup Marketing Plan: The 90-day plan from all eight steps on one sheet.
- Positioning Statement Generator: A first draft of the statement in Step 2.
- Lifecycle Email Audit: Check the three flows in Step 6 and their send load.
- Unit Economics Calculator: CAC, LTV and payback for a DTC brand.
- Cohort Retention Curve Builder: The reorder table in Step 8.
References
- Restore Online Shoppers’ Confidence Act, 15 U.S.C. § 8403, “Negative option marketing on the Internet.” Legal Information Institute, Cornell Law School. law.cornell.edu
- Federal Trade Commission (2026). “Rule Concerning the Use of Prenotification Negative Option Plans.” Advance notice of proposed rulemaking, Federal Register, March 13, 2026. federalregister.gov
- Baymard Institute. “Cart Abandonment Rate Statistics.” Reasons for abandonment during checkout, US online shoppers, excluding “just browsing”; page updated September 2025. baymard.com
- Spiegel Research Center (2017). “How Online Reviews Influence Sales.” Northwestern University, Medill. Data from one high-end gift retailer: about 1,800 products and 15.5 million page views over one year. spiegel.medill.northwestern.edu
- Google Analytics Help. “[GA4] Recommended events.” Official documentation. support.google.com
- Ehrenberg, A. S. C., Goodhardt, G. J. and Barwise, T. P. (1990). “Double jeopardy revisited.” Journal of Marketing, 54(3), 82–91. search.worldcat.org
Make the four decisions once, then grow on purpose
Want a second pair of eyes on your customer brief, offer and 90-day plan before you spend more on ads? AAJ can review them against your own orders.
Or start on your own with the free Startup Marketing Plan.