Ecommerce growth for founder-run Shopify brands.Forecasting, paid media and fractional growth, all run to a number for every month.

One expert and an AI system, working one method from your margins up. You know by the fifth of each month whether the plan is on track, and if not, why and what changes next.

Join the waiting listClient results from their own Shopify, not an ad platform
A socks brand, one of four clientsStore-wide Shopify revenue, January 2023 to September 2026
+179%last twelve months against the twelve before Kova
trailing 12 moKova starts2023202420252026
Before KovaWith KovaTrailing twelve monthsWorking together since January 2024, still a client
An annual planA number for every month, built from your margins.
Live trackingAI reads every order and ad. You get a daily and weekly email.
Meta and GoogleRun end to end in your own accounts.
Content consultingA content diversity brief, plus AI-generated ad ideas from your data and customer personas.

Three ways to work: forecast and tracking from £495 a month, paid media and consulting, or a fractional growth lead. Compare them

All four brands have more than doubled against the year before Kova. All four are still clients.

The socks brand is at the top of the page. Each figure is the last twelve months against the twelve before Kova. Grey bars are the months before, blue bars after. Names withheld because each brand's revenue is its own business. The trailing twelve month line is the one to read.

Home decor+138%
trailing 12 moKova starts2023202420252026
Working together since February 2025
Candles+119%
trailing 12 moKova starts2023202420252026
Working together since mid 2025
Kids’ bikes+129%
trailing 12 moKova startsAd investment scaled2023202420252026
Working together since March 2024
Grey dashed line: ad investment scaled
Still a client todayEvery brand above is a current client as of October 2026.
Each store's own ShopifyStore-wide revenue, not platform-attributed. Any of them will confirm it.
Data through September 2026Charts rebuilt October 2026 from the same monthly pull each time.

More revenue is easy to buy. More profit is the job.

Scaling with paid ads is hard, and not every brand is ready on day one. If a new customer costs more than they are worth, more spend only buys a bigger loss. The job is getting the business ready to scale, and paid media is how we learn what does it.

The dashboard says green. The bank account disagrees.

What the ad platform reportsEvery sale it touched
4.2x
Your breakeven 2.3x
What new customers returnThe ones you paid to find
1.6x
Each new customer bought at a loss. The platform says scale it.Illustrative figures. The pattern is not.

Returning buyers make the blended number look healthy. Nobody notices until the cash does. It is the first thing I check on any account.

The MARGIN method.

Six steps, with AI in every one, and a person making every call. It rarely works first time. It gets better every round.

  1. Margins

    Every decision starts from your margins and breakeven, not platform numbers.

    AI: Syncs orders, ad spend and product costs into your dashboard, and keeps breakeven current as costs change.

  2. Acquisition

    Every channel that finds new customers, from Meta and Google to affiliates and creators, is judged on one thing: does a new customer make you money?

    AI: Splits new from returning customers every day and flags when new customer return slips below breakeven.

  3. Retention

    Email, subscriptions and second purchases, and how much of today's profit already depends on them.

    AI: Reads your order history to see who comes back and when, and audits email flows against real performance.

  4. Get the offer right

    The right offer, products and message for each type of customer, consistent across ads, site and emails.

    AI: Builds customer personas from your reviews and orders, studies what is working for competitors, and turns it into content ideas.

  5. Iterate

    Test one thing at a time, keep what wins, and write down why. The first months can be bumpy. That is the testing doing its job.

    AI: Watches every live test, records the winners, and feeds them into the ads and ideas it drafts next. Your edits teach it your voice.

    1. Test
    2. Watch
    3. Find what won
    4. Write it down
    5. Feed it forward
    6. Round again
  6. A number for every month

    A forecast you are held to, built from all of the above and updated with real results.

    AI: Tracks the month against the plan every day and flags what is drifting before it shows in the month.

It is not only ads. What the tests teach shapes your offers, your emails and which products to lead with. For some brands that means a second purchase worth chasing. For others it means profit on the first order, and new hero products to grow into.

The number in your inbox every day. The person who set it on the other end of the line.

  1. Every day

    A daily email

    Straight from your live dashboard. Where you stand, without logging in.

  2. Every week

    A weekly read

    The week against the plan, and what is changing.

  3. Every month

    A forecast update and a call

    Your actuals go in and the year-end forecast updates. The target holds still, and you hear why the forecast moved.

  4. Any time

    A direct line

    No account manager. You message the person who built the plan.

Right for some brands. Deliberately wrong for others.

A good fit

  • Founder-run product brands on Shopify, roughly £500k to £10M a year
  • Bootstrapped or close to it, so profit is a constraint rather than a preference
  • Willing to share cost of goods and margins, because the plan is built from them
  • A real seasonal peak, and a brand voice you care about protecting

Not a fit

  • Marketplaces, dropshipping, or anything without its own store data
  • Brands that want the ads run cheaper without ever looking at profit
  • Anyone who will not share costs. Without them there is no breakeven, and without breakeven there is no plan
  • Teams that need someone in the room every day. This is a monthly cadence with a direct line, not an embedded hire

Every option includes an annual plan built from your margins, the AI-checked dashboard with a daily and weekly email, a monthly forecast update and call, and a direct line between calls.

Forecast and tracking£495per month, cancel monthlyPaid media and consultingBy conversationa small number of brandsFractional growthBy conversationyour growth lead, part time
Meta and Google run end to endNot includedIncludedIncluded
Ad copy, in your voiceNot includedIncludedIncluded
Content diversity audit: what to make more of, and what is missingNot includedIncludedIncluded
AI content idea machine, built from your customer personas and dataNot includedIncludedIncluded
Klaviyo flows and campaignsNot includedNot includedIncluded
Offer, bundle and Q4 planningNot includedNot includedIncluded
Site conversion reviewsNot includedNot includedIncluded
Who runs the adsYou or your teamMe, in your accountsMe, in your accounts
Join the waiting listJoin the waiting listJoin the waiting list
Forecast and tracking£495per month, cancel monthly
  • Everything above, and you or your team run the ads
Join the waiting list
Paid media and consultingBy conversationa small number of brands
  • Meta and Google run end to end
  • Ad copy, in your voice
  • Content diversity audit: what to make more of, and what is missing
  • AI content idea machine, built from your customer personas and data
  • I run the ads, in your accounts
Join the waiting list
Fractional growthBy conversationyour growth lead, part time
  • Meta and Google run end to end
  • Ad copy, in your voice
  • Content diversity audit: what to make more of, and what is missing
  • AI content idea machine, built from your customer personas and data
  • Klaviyo flows and campaigns
  • Offer, bundle and Q4 planning
  • Site conversion reviews
  • I run the ads, in your accounts
Join the waiting list

What founders worry about but rarely ask on the first call.

Will my brand end up sounding like a discount shop?

No. Your voice is the constraint, not the variable. Every line of ad copy goes to you before it runs, and your edits become the standard for the next round. Premium brands here never argue their price. The material, the making and the years of use do that.

Will AI end up writing my ads?

It helps, it does not sign off. AI turns your data and customer personas into ideas and first drafts, which is why there are more ideas worth testing than a person alone would find. Nothing runs until you have approved it, and your edits teach the next round your voice.

How much content am I going to have to make?

Some, and you will always know exactly what. You or your creators shoot it; I brief each piece shot by shot with the argument it has to make, and review it before it runs. A round is a handful of pieces that each test one thing, not a calendar to fill. The winners get more variations, the rest stop.

What if it is not working?

You hear it first, in numbers, with the cause and the change. The forecast gets updated rather than defended. Sometimes the answer is that the ads are fine and the season is not, and I will show you last year to prove it.

Am I locked in?

Month to month. The ad accounts, the pixel and the data all live in your own accounts, in your name. If you leave, you keep every bit of it and a written handover of what was working and why.

Do you run the ads as well as the plan?

On full service, yes: Meta and Google end to end, in your accounts, plus the copy and creative briefs, and email too when it is in scope. On forecast and tracking, you or your team run the ads and I own the number and the monthly read.

Which channels?

Meta and Google Shopping and Search. On full service, Klaviyo as well when email is in scope. Ecommerce only, because every model and instinct here is built around order data and margin, and that depth does not transfer to lead generation or software.

What do the first ninety days look like?

Business metrics and breakeven first, before any ad is touched. Then the annual plan, then the accounts rebuilt around it, then the monthly cadence. The detail is on the how I work page.

How do you use AI?

For the heavy reading. AI pulls and checks your orders, ads and margins every day, drafts the reports, and generates ad ideas from your data and customer personas. The decisions do not get handed over: every plan and spend change is made by me, and every line of ad copy is approved by you.

Why are the prices on the page?

So you can rule this in or out before you write to me. The price is part of the fit. Below about £500k there is not enough history to forecast from and the fee is too big a share of the budget. Above £20M you usually need an in-house team, and I will say so.

Kova is one person and an AI system, by design.

The system is mine, built for ecommerce. Every day it reads your orders, ads and margins and tells me what it found. That is how one person covers the analysis of a team, with no account manager in the middle.

The decisions stay human. The plan, the calls and every spend change are mine, and every line of ad copy is yours to approve. I only work with ecommerce, because order data, margin, retention curves and seasonality are the whole craft.

Start with your real number.

What a new customer costs you today, what you can afford to pay, and the gap. One page, no pitch attached.

10 min

Share read-only access

Shopify, Meta, Google and your cost of goods. Nothing changes.

5 days

I run the numbers

New customer return against breakeven, from your margins.

1 page

Back to you

Act on it with or without me. Including a straight no.

I take on a small number of brands at a time. Join the list and you hear as soon as a place opens, including a straight no if the fit is wrong.

Mockup v6: MARGIN method + new statement