Marketing for E-Commerce

The DTC skincare brand that discovered retention was its growth engine

In 2020, a DTC skincare brand was spending £35,000/month on paid ads and growing. Revenue was £180,000/month. ROAS: 5.1×. Everything looked healthy.

Then their CFO built a cohort model.

Of the 1,200 customers acquired in January, only 340 (28%) had made a second purchase by June. The average third-year revenue per customer was £320 — but they were spending £68 to acquire each. At 28% repeat rate, the effective LTV was £89 per customer (£68 acquisition + £21 margin from second purchases), barely above CAC.

The CFO's conclusion: "We're not an e-commerce business — we're an expensive customer acquisition machine that doesn't retain."

They paused half their paid ad spend and redirected it into:

• A post-purchase email sequence (5 emails over 30 days, educational content about skin health)
• A loyalty programme with points for reviews and referrals
• A subscription bundle at 20% discount

Six months later: repeat purchase rate from 28% to 47%. LTV improved from £89 to £168. And because LTV nearly doubled, they could afford to increase their CAC — and scale acquisition while remaining profitable.

Retention was the multiplier that made acquisition viable.

(Illustrative scenario based on patterns common in DTC e-commerce. The specific figures — ad spend, repeat purchase rates, and LTV improvement — are representative of real-world outcomes from post-purchase email and loyalty investment.)

The e-commerce marketing system

Profitable e-commerce marketing operates as three interlocked systems:

The flywheel: More repeat customers reduce the required acquisition volume (same revenue with less new traffic). Lower required acquisition volume means you can be more selective — targeting only the highest-quality traffic. Higher-quality traffic converts better, improving unit economics further.

Breaking the flywheel at any point breaks the system. Most e-commerce brands invest heavily in acquisition and light in retention — missing the highest-ROI part of the system.

The acquisition channel mix for e-commerce

The maturity-based channel sequence:

The e-commerce channel economics:

Google Shopping: captures high-intent existing demand
→ Ideal for: branded searches, category searches ("women's running shoes size 7")
→ Typical ROAS: 3–8× (illustrative ranges — varies significantly by category, margin, and competition)

Meta product catalogue ads: visual demand creation
→ Ideal for: discovery products, lifestyle brands, visual categories
→ Typical ROAS: 2.5–5× for cold audiences; 5–12× for retargeting (illustrative ranges — varies significantly by category, margin, and competition)

Email marketing: highest ROAS, lowest cost
→ Ideal for: all e-commerce businesses with 1,000+ subscribers
→ Typical contribution: 20–40% of total revenue at minimal marginal cost
→ Target: email revenue = 2–3× total email platform cost

Product page conversion: the overlooked lever

The biggest opportunity in most e-commerce stores isn't better ads — it's better product pages. The average e-commerce conversion rate is commonly cited at 1–3%, though this varies significantly by vertical (fashion: 1–2%; beauty: 2–4%; electronics: 0.5–1.5%) — treat as directional. A 1% improvement in conversion rate at £100K/month revenue is £1,000 more revenue per day.

The elements that drive product page conversion:

Photography: Multiple angles, lifestyle shots (product in context), scale reference. For fashion/beauty: model photos dramatically outperform product-only shots.

Product description structure:

1. Benefits headline (what does this do for the customer?)
2. Key features (2–3 bullet points)
3. Full description with keywords (SEO and information)
4. Size guide, materials, care instructions

Social proof: Star rating, review count, and a selection of genuine reviews (including some 3–4 star ones — only 5-star reviews look curated and reduce trust).

Trust signals: Return policy, delivery timeframe, payment method icons, customer count or "sold X units."

CTA urgency (when genuine): Stock levels, sale countdown, bundle offer.

There Are No Dumb Questions

"Should I sell on Amazon as well as my own website?"

Amazon and DTC serve different purposes. Amazon provides marketplace reach and existing buyer intent — customers are already there, credit card in hand. DTC provides margin (no marketplace fees), data ownership (you know your customers), and brand control. A common approach: use Amazon to acquire new customers who might not discover you otherwise, then migrate repeat buyers to DTC through packaging inserts with DTC-only offers. The risk of Amazon-first: dependency on a platform that controls pricing, algorithm, and customer relationships. Many brands run both, but the strategic priority should be building DTC relationships, not Amazon dependency.

"How often should I email my e-commerce list?"

Segment by behaviour: recent purchasers (30 days) can receive 4–6 emails/month without high unsubscribe rates. Non-purchasers who subscribed for a discount and never bought should receive 1–2/month maximum. Winback sequences for lapsed customers: a 3-email sequence at specific intervals. The most successful e-commerce email programmes are heavily automated — triggered by behaviour (purchase, abandonment, browse history) rather than just broadcast schedules.

The retention stack for e-commerce

Post-purchase email sequence (the highest-impact retention lever):

Subscription / auto-replenishment: For consumable products (skincare, supplements, food, coffee), subscription is the most powerful retention mechanism. A subscriber customer is worth 4–5× a one-time buyer in LTV. Offer 10–20% discount, free delivery, and skip/cancel convenience to improve subscribe-to-retain rate.

Loyalty programmes: Points for purchases, reviews, referrals, and social shares. Redeem for discounts or exclusive products. Most effective when: redemption is easy, points are achievable (not just for £500+ spenders), and communication about points balance is regular.

Referral: A referred customer typically converts at significantly higher rates than cold visitors — commonly cited estimates range from 3–5× — and tends to retain better, though exact multiples vary substantially by product type and referral programme design. Referral programmes (offer £X to referrer and referred) typically produce 10–30% of new customers at mature DTC brands.

Back to the DTC skincare brand

Shifting 20% of acquisition budget into retention didn't reduce growth — it doubled LTV without adding a single new customer to the base. The post-purchase email sequence, the loyalty programme, the subscription bundle: none of these were complicated. They were simply the infrastructure that should have been built before scaling paid acquisition. The growth engine was already running; the brand just wasn't fuelling the right part of it. At 47% repeat purchase rate versus 28%, the economics of acquisition changed entirely — the same ad spend could now produce a profitable customer, not just a one-time buyer.

Key takeaways

• E-commerce marketing is a system. Acquisition brings traffic; conversion turns it into buyers; retention turns buyers into repeat buyers. Optimising only acquisition while ignoring retention is like filling a leaky bucket.
• Repeat purchase rate is the health metric most DTC brands don't track. A 28% 90-day repeat rate vs 47% is the difference between a business with marginal economics and one that can scale profitably.
• Email should represent 20–40% of revenue. It's the highest-ROI channel in e-commerce — owned, low marginal cost, and the primary retention mechanism. If email contributes less, the programme is underinvested.
• Product page conversion is often the highest-leverage improvement. Better photography, social proof, and trust signals compound across all traffic — paid, organic, and email.
• LTV:CAC is the e-commerce health metric. A brand with £3:1 LTV:CAC is healthy; below 2:1 is fragile; below 1:1 is loss-making regardless of revenue growth.