# Adam Kitchen

Adam Kitchen audits direct-to-consumer ecommerce brands and shares advice on improving customer retention and lifetime value, including how to use customer research and email marketing.

- Profile: https://b2binfluencer.marketing/creators/adam-kitchen/
- LinkedIn: https://www.linkedin.com/in/adamkitchen1
- LinkedIn followers: 23,701
- YouTube: https://www.youtube.com/channel/UCWNu6IHKnkmoekNFQ32eztw
- Topics: ecommerce, email-marketing, ecommerce-retention, customer-research
- Based on 9 dated posts, latest 2026-10-08

## Summary

Adam Kitchen is most useful for auditing DTC ecommerce retention and testing lifetime value assumptions before email work.

- Best for: A DTC ecommerce brand with a repeat-purchase problem, open to a retention audit first.
- Not for: A B2B SaaS sponsored thought-leadership campaign seeking enterprise IT demo requests from their audience.
- Check first: Confirm their sponsorship terms, audience composition, and whether a paid placement package exists before contacting them.

### Takeaways

- Rising customer value can hide falling repeat purchases and lower post-first-month spending.
- First-purchase bundles hurt 180- and 365-day lifetime value at two large brands.
- A customer research questionnaire should inform content, timing, positioning, and cross-sells before lifecycle email.

## Main ideas

- **Rising customer value can hide falling retention**: Adam Kitchen argues that 12-month customer value or revenue can rise even as repurchase behavior worsens, because average order value optimization can offset fewer repeat orders. In an audit of a US outdoor brand, 12-month customer value rose from $112 to $114 to $116, while first-month spend rose from $82.60 to $91.80, meaning the growth came from order value work. Spend after the first month fell from $29.50 to $27. The same Shopify data showed month-one repeat purchase rate down from 10.2% to 8.9%, returning customers per new customer down from 0.85 to 0.71, and returning order AOV up from $71 to $82. Kitchen's point: each number tells a different story alone; together, they tell the right one.
- **Lifetime value has four levers, and average order value has a ceiling**: Adam Kitchen frames lifetime value as the product of four levers: how many customers a brand acquires, how much they spend the first time, how often they return, and how much they spend when they do. In the audited outdoor brand, the second and fourth levers were being pulled hard while the third declined. Repeat rates fell in every month after the first order, with the steepest drop in months four to six. Kitchen argues that average order value optimization is worthwhile but finite, and eventually cannot offset a shrinking repeat base.
- **Research why customers buy and return before sending lifecycle email**: Before sending email for a brand, Adam Kitchen runs a structured question set called the LTV Cheat Code to understand what makes customers purchase and return. The research is meant to improve ad creatives, positioning, email content, email timing, cross-sell opportunities, and more. Kitchen argues that without this data, a brand is flying blind and making assumptions about why retention is bottlenecked. Simple data collection can lead to incremental revenue while reducing ad waste by acquiring better customers.
- **Broaden distribution and give customers product reasons to return**: Adam Kitchen reports that over half the brands audited rely exclusively on email, whose performance is declining, and argues for a proactive text and direct mail strategy to maximize distribution. They also recommend releasing complementary products, arguing that novelty drives repurchase rates up, and using subscription or membership models to drive predictable revenue for some consumer-packaged-goods businesses. Kitchen says plainly that subscription is not a golden bullet and works only for some businesses.
- **Treat best practices as hypotheses, especially first-purchase bundles**: Adam Kitchen argues that what works for one business does not necessarily work for another, and that brands should test best practices over time and pivot using data. In two brands with revenue north of $80 million, bundling on the first purchase hurt 180-day and 365-day lifetime value compared with lower-order-value customers who bought items individually. Kitchen says this was surprising because in roughly 95% of instances observed across direct-to-consumer brands, stacking more products into the first purchase correlates with higher lifetime value over time.

## Work to read

- [Lifetime value can rise while retention falls](https://www.linkedin.com/posts/adamkitchen1_your-lifetime-value-or-revenue-can-be-going-activity-7512860369787281408-fGdk)
- [A pre-email customer research questionnaire](https://www.linkedin.com/posts/adamkitchen1_before-i-send-a-single-email-out-for-a-brand-activity-7511047606886875137-XcS1)
- [First-purchase bundles can hurt long-term value](https://www.linkedin.com/posts/adamkitchen1_in-the-last-3-months-ive-audited-two-brands-activity-7508126721766875137-2t1s)

## Brand relationships

- **Klaviyo** (mention)

## Partnerships

Adam Kitchen's posts document no brand partnership or sponsorship format. The three LinkedIn posts present audit findings and retention advice for direct-to-consumer brands, not sponsored placements, and none includes a sponsorship disclosure, rate card, media kit, or partnership inquiry route. The only commercial link is a free Klaviyo retention audit offered in one post as a lead-in to their own retention work; it is a service offer, not a documented sponsorship product or inquiry URL. Brands considering paid placement should ask directly about terms, deliverables, disclosure practice, and pricing.

## Alternatives

- Marko Mandic: Choose Marko Mandic when the retention problem sits upstream of email. The posts frame retention as a set of conditions, not a channel, and list eight prerequisites for a campaign to work: a reason to repurchase, a memorable purchase experience, product education, repurchase timing based on when the product actually runs out, a usage habit, a cross-sell built from what customers buy together, a discount strategy backed by margin math, and a loyalty program with real stakes. They also centre zero-party data: a 400-question bank across ten DTC verticals, assembled after auditing more than 150 Klaviyo accounts, with guidance on collecting answers and mapping them to Klaviyo profile properties. For a brand whose repeat rate is weak because its product line gives customers nothing to come back for, or whose email segmentation lacks first-party data, that framing reaches the root faster than a lifecycle calendar.
- Gary Feuerstein: Choose Gary Feuerstein when the retention leak is technical identity, not messaging. The posts describe SessionFlow, which keeps a shopper connected to their identity and cart so a store can recognise them on return, including on another device. It also reconnects orders placed through AI assistants with existing purchase history and marketing consent. The failure is specific: a shopper builds a cart on Tuesday, returns ten days later, and the store no longer links the visit to the cart or the person. Nothing fails loudly in Klaviyo, so the brand keeps optimising flows against an incomplete picture while returning shoppers rebuild carts, activity splits across profiles, attribution drifts and money goes to reacquiring people the store should already recognise. If cohort work shows a large share of returning traffic behaving like strangers, fix the identity layer before writing more emails.
- Ibraheem Hamzat: Choose Ibraheem Hamzat when the brand assumes retention is the constraint but has not tested that assumption. The posts argue that symptoms rarely appear where the problem lives: weak traffic quality can look like a conversion problem, a weak offer like a CRO problem, poor customer experience eventually like a retention problem, and weak retention can make acquisition look more expensive than it is. The stated starting point is unit economics (average order value, acquisition cost, conversion rate, repeat purchase behaviour, lifetime value), followed by mapping the journey from traffic through retention, separating symptoms from constraints, examining trust and clarity, and prioritising the few interventions with the greatest impact by impact multiplied by confidence and effort. For a brand about to buy lifecycle email work without knowing why repeat rates are falling, that diagnosis-first sequence is the better first step.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/