When this brand came to us they were doing 180 orders a month. Premium functional mushroom supplements, strong product, genuine repeat purchase behaviour from the customers they did have. The problem wasn't the product. The problem was that almost nothing around the product was set up to convert.
The site was converting at 1.1% on desktop and 0.7% on mobile. Email was six percent of revenue and consisted almost entirely of a weekly newsletter to 4,200 subscribers with no flows. Average order value was £34, which made the economics of any paid channel nearly impossible. There was no bundle architecture, no subscription entry point on the product page, and the abandoned cart rate was 78% with zero recovery.
Six months later: 1,408 orders a month. Same ad budget. Six specific changes.
Why the number is 682% and not a round figure
I'm leading with the actual number rather than rounding it up because specific results are more useful than clean ones. 682% is what happened. It didn't happen because we invented some proprietary framework. It happened because we found the six things that were losing the most revenue and fixed them in the right order.
That order matters more than most founders realise. There is no point driving more traffic into a site converting at 1.1%. There is no point building a post-purchase upsell sequence when 78% of customers who add to cart never complete the purchase. The fixes have to stack in the right sequence, because each one improves the leverage of the next.
"We did not increase the ad budget at any point during the six months. Every order came from better economics on the same traffic, plus the compounding effect of email recovery and retention on customers we were already acquiring."
The audit: what we found before we changed anything
Before touching anything, we spent three days mapping the full revenue picture. Where was traffic coming from, where was it going, where was it dropping off, and what were existing customers actually doing after their first purchase. Here is what the data showed.
1.1% desktop conversion, 0.7% mobile
The product page had one image, a short description, and a buy button. No reviews visible above the fold, no social proof, no ingredient breakdown, no comparison to alternatives, no FAQ. On mobile the add-to-cart button was below two paragraphs of copy that most users never reached. The pages were not bad because they were poorly designed. They were bad because they had never been built to convert.
78% cart abandonment, zero recovery
78% of customers who added to cart never completed the purchase. There was no abandoned cart email. No SMS. No retargeting sequence beyond standard Meta pixel activity. That represents, at the volume they were doing, approximately 630 abandoned carts a month with no attempt to recover any of them.
Email at 6% of revenue with no automation
The list had 4,200 subscribers. A weekly newsletter was going out every Thursday covering new products and occasional promotions. Open rate was 28%, click rate was 1.4%. There were no triggered flows of any kind: no welcome series, no abandoned cart, no post-purchase, no browse abandonment, no win-back. All 4,200 subscribers were in one segment.
AOV of £34 with single-unit purchase architecture
The product structure had no bundles, no starter kits, no quantity discounts, and no subscription pathway visible on the product page. The only way to increase spend was to add multiple individual products to cart manually. Most customers bought one unit. The highest possible single transaction without custom basket manipulation was £34.
No subscription infrastructure
The brand had a subscription app installed but not live. The configuration had been started and abandoned. There was no subscribe-and-save option visible anywhere on the site. Customers who wanted to reorder had to come back through the full purchase flow each time, which meant significant drop-off on repurchases.
Mobile experience broken at the checkout
On mobile specifically, the checkout flow had a bug introduced during a theme update that was causing the address autocomplete to fail intermittently. Approximately one in six mobile checkouts was showing an error that required the user to type the full address manually. Given that mobile was 68% of total traffic, this was suppressing conversions across more than two thirds of the site's audience.
What we changed, in the order we changed it
The audit took three days. The fixes took six months to fully optimise, though several of them showed measurable impact within the first two weeks. Here is the sequence.
Fixed the mobile checkout bug (Week 1)
This was the first thing we did because it was the highest-leverage fix available. A checkout that fails one in six times is not a conversion rate problem, it's a technical problem, and technical problems can be fixed without creative input, testing cycles, or iterative optimisation. We identified the conflicting theme component, isolated it, and replaced it. Mobile checkout completion rate went from 62% to 91% in the first week. That single fix added approximately 40 orders a month at no cost.
Rebuilt the product pages for conversion (Weeks 1-3)
We rebuilt both primary product pages from scratch. Above the fold: product name, a single credibility line (third-party tested, UK-made), five-star aggregate from 340 reviews, primary CTA, and subscribe vs. one-time pricing side by side. Below the fold: ingredient breakdown with sourcing information, three customer reviews with specific outcomes called out, a before/after section covering the experience curve, and an FAQ covering the nine most common objections from customer support tickets. Desktop conversion moved from 1.1% to 3.3% over four weeks. Mobile moved from 0.7% to 2.6%.
Built the full email flow stack (Weeks 2-5)
We built five flows simultaneously across a three-week period. Welcome series (four emails over eight days), abandoned cart (three emails over 72 hours), post-purchase sequence (five emails over 30 days), browse abandonment (one email, two hours after view), and win-back (four emails targeting 90-day lapsed customers). The abandoned cart flow went live in week two and recovered 11.2% of abandoned carts within the first month. Email contribution to revenue moved from 6% to 22% in month one and to 38% by month four as the post-purchase and win-back flows built volume.
Launched bundle architecture (Week 3)
We introduced three bundles: a starter kit at £59 (two core products), a 30-day protocol bundle at £89 (four products with a defined usage plan), and a family bundle at £109. The starter kit was positioned as the default recommendation on the product pages with a "most popular" badge. Average order value moved from £34 to £52 in the first month as bundle penetration reached 34% of orders. By month three it had reached £71 as subscription conversion increased the proportion of higher-value orders.
Activated subscription with a visible entry point (Week 4)
We went live with the subscribe-and-save configuration, structured as a 15% saving on the one-time price on all individual products and a 10% saving on bundles. The product page redesign from step two had already incorporated the subscribe vs. one-time side-by-side comparison, so the subscription option was visible from day one of the new pages. Subscription penetration reached 18% of orders in month two and 28% by month five. Monthly recurring revenue from subscriptions reached £19,400 by month six.
Restructured paid media to match the new economics (Month 2)
With conversion rate at 3.3%, AOV at £71, and email recovering abandoned carts at 11%, the economics of paid acquisition had changed materially. We restructured the Meta campaigns to account for the new customer value: increased bids on the highest-intent audience segments, introduced Advantage+ shopping campaigns alongside the existing manual campaigns for top-of-funnel, and shifted budget toward the keywords generating the highest LTV customers rather than the lowest CPA. Within the same budget, paid-attributed revenue increased by 84% between month two and month six.
Month by month: how the numbers moved
This is the actual order data month by month. Ad spend held constant throughout at the starting figure. The only variables were the fixes described above.
| Month | Orders | AOV | Email % Rev | Subscription % |
|---|---|---|---|---|
| Start | 180 | £34 | 6% | 0% |
| Month 1 | 340 | £52 | 22% | 4% |
| Month 2 | 510 | £61 | 29% | 11% |
| Month 3 | 720 | £65 | 33% | 18% |
| Month 4 | 890 | £68 | 38% | 22% |
| Month 5 | 1,140 | £70 | 38% | 26% |
| Month 6 | 1,408 | £71 | 38% | 28% |
What this means for your brand
This is not an unusual result for a brand that has decent traffic, a product that customers genuinely like, and a setup that has never been optimised. The ceiling on any brand's order growth is not usually the product or the market. It's the infrastructure around it.
The mobile checkout bug was invisible to the founders. They were reviewing analytics weekly but had no visibility on checkout step abandonment by device, so the intermittent error was showing up as a lower mobile conversion rate that they attributed to mobile user behaviour rather than a broken form field. That kind of invisible leak is the most common thing we find in audits. Something technically wrong that the founders can't see because they don't have the right layer of visibility.
The email situation is equally common. A list of 4,200 subscribers is not a small list. 4,200 people who have actively opted in to hear from a brand, sitting dormant in a single segment with a weekly newsletter as the only contact. The flows we built took three weeks to construct and generate revenue every day without any ongoing effort.
The pattern I see most often in brands that plateau under £50K a month: they have all the raw materials for a significantly higher revenue rate, and almost none of the infrastructure needed to extract it. The audit exists to map that gap.
Brand Growth Audit
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The Brand Growth Audit covers your full conversion setup, email infrastructure, offer architecture, and paid media economics. Three days, Loom walkthrough, prioritised action plan. No obligation to continue.
Book your audit →Frequently asked questions
What is a realistic order growth target for a DTC brand in 6 months?
Most DTC brands that fix their core conversion, email, and offer infrastructure can realistically target 200-400% order growth within 6 months without increasing ad spend. The ceiling depends on the starting point and how broken the existing setup is. Brands with no email flows, a sub-2% conversion rate, and a single-product offer structure have the most room to move quickly because each fix compounds on the others.
What are the highest-leverage changes for DTC order growth?
Based on the brands we have worked with, the four highest-leverage changes in order are: (1) building an abandoned cart flow, which recovers carts that would otherwise be lost at no additional acquisition cost; (2) fixing product page conversion rate, which makes every existing traffic source more profitable; (3) increasing average order value through bundles or subscription architecture, which improves the economics of every customer acquired; and (4) building the welcome series and post-purchase flow stack, which retains more customers and drives repeat purchases.
How long does it take to see results from a DTC growth audit?
The fastest wins show up within the first 30 days when email flows and product page fixes are prioritised. Abandoned cart recovery starts generating revenue the same day the flow goes live. Conversion rate improvements take two to four weeks to register clearly in the data, since you need sufficient traffic through the new setup to reach statistical confidence. By month three, all six levers should be showing measurable impact simultaneously.
Can you grow a DTC brand without increasing ad spend?
Yes, and often the first 90 days should focus almost entirely on improving the economics of existing traffic before adding spend. If your conversion rate is 1.1% and your abandoned cart recovery is zero, doubling your ad budget will double your waste as much as it doubles your revenue. Fixing conversion rate to 3% and recovering 10% of abandoned carts from existing traffic will often deliver more revenue than a 50-100% increase in paid media budget at the same conversion rate.
What is the right average order value for a DTC supplement brand?
For premium functional supplement brands, an AOV of £60-90 is typically achievable and necessary to make paid acquisition work at scale. Below £40, the economics of Meta and Google ads are very difficult to sustain unless subscription revenue is high enough to justify the loss on the first purchase. The fastest routes to AOV improvement are bundle architecture, subscription discounts that trade margin for commitment, and gift-with-purchase thresholds that reward higher spend.
How do you increase subscription conversion for a DTC brand?
The highest-converting subscription entry points are: the product page with a clear side-by-side comparison of subscribe vs. one-time pricing; the post-purchase email flow, which introduces subscription around day 14 when the customer has experienced the product; and the abandoned cart flow, where subscription can be introduced as an alternative to a discount on the one-time price. Subscription penetration of 25-35% of total orders is achievable for consumable supplement brands within 90 days when these three entry points are optimised.
About the author
Caner Veli founded and exited Liquiproof, scaling from zero to 3,000+ retailers globally in under 6 years. He now runs Purposeful Profits, a focused growth consultancy for founder-led DTC and CPG brands. 12 named sprint clients. 518% average growth. 27x highest ROAS. Read more about Caner →