Direct-to-consumer brands have one advantage over retail: you own the transaction. Every sale happens on your site, through your checkout, with your data. And yet most DTC brands running influencer campaigns have no idea which creator actually drove which purchase.
They know someone bought a hoodie on Tuesday. They don't know if it was because of the TikTok post, the Instagram reel, or the email they sent last week. That's a problem when you're deciding who to rebook and where to spend next month's budget.
Why DTC brands need tighter tracking than everyone else
If you sell through retailers, attribution is always going to be fuzzy. You can't track what happens inside someone else's shop. But DTC brands control the entire funnel, from ad to checkout. There's no excuse for not knowing where each sale came from.
The brands that grow fastest aren't the ones spending the most on influencers. They're the ones who know exactly which creators convert, which platforms perform, and which campaigns to kill. That information only comes from proper attribution.
The basic setup every DTC brand should have
Before you send a single product to a creator, have this in place:
One unique link per creator. Not one link per campaign. One per person. If you're working with 15 influencers this month, you need 15 tracked links. Each one ties clicks and purchases back to that specific creator.
A central place to see the data. TikTok has its own analytics. Instagram has its own. Your Shopify dashboard has its own. None of them talk to each other. You need an attribution tool that shows all your tracked links in one place, regardless of which platform the traffic came from. LinkOwl does this and only charges per attributed sale, which keeps costs proportional to revenue.
Clear instructions for creators. Tell them exactly where to put the link. Bio, story, video description, pinned comment. Be specific. "Use this link" is vague. "Put this link in your Instagram bio before posting, and keep it there for 7 days" is clear.
Commission structures that actually work
There are three common ways to pay influencers in DTC:
Flat fee. You pay £200 for a post regardless of performance. Simple, but you're gambling. Works for brand awareness campaigns where you're not expecting direct sales.
Commission only. The creator earns a percentage of every sale they drive. Low risk for you, but harder to attract good creators. Most experienced influencers won't work on pure commission unless they already know and love your product.
Hybrid. A smaller flat fee plus commission on sales. This is where most smart DTC brands land. The flat fee gets the creator committed. The commission aligns their incentive with yours. Everyone wants the post to convert.
Whatever structure you pick, tracked links make the commission calculation automatic. No spreadsheets, no manual counting, no arguments about what counts as "their" sale.
Tracking across multiple platforms
Most DTC influencer campaigns run across at least two platforms. A creator might post a TikTok video and an Instagram story about the same product. You want to know which platform drove the sale.
Two approaches:
One link, track the platform separately. Give the creator a single tracked link. You'll see total clicks and purchases, but you won't know if the sale came from their TikTok or their Instagram audience.
Separate links per platform. Give the creator two links — one for TikTok, one for Instagram. More setup, but you get cleaner data. If their TikTok drives 20 sales and their Instagram drives 2, that tells you something useful about where to invest.
For most DTC brands starting out, separate links per platform are worth the extra minute of setup. The data pays for itself the first time you reallocate budget from a dead channel to a live one.
The 7-day attribution window
Someone sees a creator's post on Monday. They click the link, browse your site, and leave without buying. On Thursday, they come back directly and purchase. Does the creator get credit?
This depends on your attribution window. Most tools use a 7-day window — if the click happened within 7 days of the purchase, the creator gets the attribution. Some use 30 days.
For DTC, 7 days is usually right. Fashion, beauty, and lifestyle purchases rarely take longer than a week from first click to checkout. If you're selling higher-ticket items (furniture, electronics), a longer window might make more sense.
Pick a window and stick with it. Changing it mid-campaign makes your data meaningless.
What to do with the data
Tracking isn't useful until you act on it. Here's what the best DTC brands do with their attribution data:
Rank creators by revenue, not reach. A creator with 500,000 followers who drives 3 sales is worth less than a creator with 8,000 followers who drives 30. The data makes this obvious. Your instincts might not.
Kill underperforming campaigns fast. If a creator's link has 200 clicks and zero purchases after a week, something is wrong. Either the audience doesn't match, the content didn't land, or the product page isn't converting. Don't wait a month to find out.
Double down on what works. When you find a creator who converts, book them again. Offer a longer-term deal. Ask them to create more content. A proven converter is worth ten times an unproven one with bigger numbers.
Compare platforms honestly. If Instagram consistently drives more revenue per click than TikTok for your brand, that's useful. It doesn't mean abandon TikTok — but it means your Instagram creators might deserve higher commissions.
Common mistakes DTC brands make
Using discount codes instead of tracked links. Discount codes are fine for giving customers a deal. They're terrible for attribution. Codes get shared, leaked, posted on coupon sites. Within a week, you can't tell if "SARAH20" was used by Sarah's audience or by a random person who found it on Honey. Tracked links give you cleaner data because they tie the click to the purchase, not just the code to the checkout.
Giving all creators the same link. If five influencers share the same URL, you know five creators drove X sales. You don't know which one drove which. That's useless for deciding who to rebook.
Not tracking at all and relying on "did we see a spike?" The spike method works if you're running one campaign at a time. If you're running three campaigns across two platforms with seven creators, spikes overlap and you can't untangle anything.
Getting started without a big budget
You don't need an enterprise attribution platform. You don't need a data team. You need:
- An attribution tool that creates tracked links (LinkOwl charges 5p per attributed sale — nothing until you're making money)
- A spreadsheet tracking which creator got which link and what you're paying them
- A weekly habit of checking which links converted and which didn't
That's it. As you scale to 20, 50, 100 creators, the spreadsheet might not cut it anymore. But by then you'll have enough data to know exactly what's working, and that data will fund whatever tool you graduate to.
The point
DTC brands that track attribution properly spend less and earn more than ones that don't. It's not about being data-obsessed. It's about not wasting money on creators who don't convert while underpaying the ones who do. Build tracking into every deal from day one, and the data will tell you where to go next.