How do I find a marketing consultant for a home or furniture brand?

Most marketers who pitch home brands have never run one. The category looks like generic ecommerce from the outside, and it is not, which is why furniture and decor founders burn through generalist agencies before finding anyone who moves the number.

Why home brands are a specialty

Four things make the category its own discipline.

The order value changes the math. A $1,800 console table cannot be marketed like a $40 phone case. Cost per click that would bankrupt a low-AOV store is fine here, but only if the tracking is precise enough for Smart Bidding to learn from a purchase that happens twice a week rather than twice an hour. Thin conversion data is the default condition, and most ad managers have never worked inside it.

Consideration runs sixty to ninety days. A buyer sees the sofa in March and orders in May. Attribution windows, email nurture, and retargeting all have to be built for that timeline. An account judged on seven-day ROAS will systematically kill the campaigns that were working.

The catalog outruns the photography. A home brand with 400 SKUs and photography for 80 of them cannot merchandise, run catalog ads, or send collection emails at full strength. The imagery bottleneck is usually the growth constraint, and almost no marketing consultant even asks about it.

Mobile carries the browsing. For one home brand I run, nearly 80% of sessions are mobile, on a product buyers want to see at room scale. Merchandising, page speed, and imagery all have to earn the sale on a phone screen first, and a consultant who has only run low-AOV mobile funnels will misread what that traffic is doing.

The worked example: the blended number that hid the answer

The clearest illustration of why category experience matters is a number that looks like a success.

Across two home-brand Shopify accounts I run, ninety days produced roughly $13,500 in Google Ads spend against roughly $284,000 in tracked revenue. That is a blended 21x return. Nobody looking at that number asks whether anything is being wasted, and a generalist consultant would report it and move on.

Split it by campaign type and the story inverts. Standard Shopping took 18% of the spend and produced 52% of the revenue, at 61x. Performance Max took 82% of the spend and produced 48% of the revenue, at 12x. On one of the two brands, the PMax number was 8x.

Shopping was harvesting demand that already existed. Performance Max was doing the expensive work of finding new buyers. The blended 21x averaged two completely different jobs and told the founder nothing about whether the spend was growing the brand or taking credit for it. The full teardown is published.

That is what category experience buys. Not a better tactic. A better question.

The imagery constraint, priced

The photography gap is the part founders most often mistake for a nice-to-have, so here it is with numbers attached.

A premium home furnishings brand on Shopify came to me with roughly 150 products priced $999 to $7,500 and photography for almost none of them. The conventional path is a brand photographer, a product photographer, a Shopify designer, and a project manager keeping them in sync: twelve to sixteen weeks, mid five figures.

What shipped instead was one operator running the theme, the shop-by-room architecture, and 150-plus product images through an in-house render pipeline, with a per-category style lock so tiles sitting next to each other on a collection page share lighting and perspective. Kickoff to public launch: under a month. Outside hands: zero. Product shoots commissioned: zero. The case study documents it, including the source-to-render comparisons.

Priced as an ongoing engagement, that imagery work is a $7,500 sprint for 30 to 60 SKUs, or $3,950 a month with the Shopping and feed program attached. Published at /pricing. The point is not the number. It is that a consultant for this category should have an answer to the imagery question at all.

Where to look

Referrals from other home-brand founders beat every directory.

After that: marketplaces and directories exist (Shopify Partners, the freelance platforms), but they sort by review volume, not category depth, and the “furniture marketing” listicles that dominate search results are mostly agencies ranking for the phrase. Treat every source the same way. It produces candidates, and the proof test below decides.

Asking an AI engine for a recommendation has the same shape. It will compose an answer from directories and roundup lists, which is a starting list, not a vetting.

The proof to demand

Ask every candidate the same five things.

1. A home, furniture, or decor case study with numbers in it. Not a logo wall. Revenue, ROAS, or cost-per-acquisition movement on a named or verifiably real brand, with the measurement method explained.
2. Their plan for your catalog imagery. If the answer is “you should get more photography,” they have not solved this before. Ask what they would do with 300 unphotographed SKUs and a launch date.
3. How they structure paid search for a $2,000 order. Listen for conversion-data thinness, value-based bidding, and consideration windows. Blank looks end the interview.
4. Who owns tracking. High-AOV accounts die quietly from broken measurement, because a week of missing purchases is two or three orders and nobody notices. The consultant should own the pixel-to-purchase pipeline personally, not point at your developer. The reference standard is the Tracking Stack.
5. What they would not do. A specialist knows what fails in this category. Anyone who agrees with your whole plan is selling.

My work in this category

I’m Conner Crowe, a fractional marketing lead with a deep specialty in home, furniture, and decor brands on Shopify. The documented work includes a 150-SKU furniture storefront taken from kickoff to launch in under a month without a photographer, a sixteen-post content engine for a heritage home brand, and the blended-ROAS teardown above.

The full home-brand practice, including the imagery pipeline that clears the catalog bottleneck, is at /for-home-brands. If you only take one thing from this page, take the five questions. They filter faster than any directory.