I've watched indie developers blow their entire marketing budget on influencer deals, then have no clue which one actually moved the needle. They'll run three campaigns at once, see a bump in downloads, and assume it was the big-name creator. Sometimes it was. Sometimes it was the person with 800 followers who happened to reach the right audience.
The fix is dead simple: one unique link per influencer. Not one link for the whole campaign. Not one link for the platform. One link per person.
Why a single shared link ruins everything
Say you're running a campaign with four creators. You give them all the same App Store link. Downloads go up that week. Great. But which creator do you re-book next month? Which one do you drop?
You don't know. You're guessing based on follower counts and vibes.
I've seen developers rationalize this away. "Well, Creator A has the most followers, so it was probably them." That logic falls apart constantly. A food blogger with 2,000 engaged followers who happen to be parents will outsell a tech reviewer with 50,000 followers when you're promoting a kids' app. Every time.
The setup (it takes about five minutes per influencer)
The concept is straightforward:
- Create a tracked link for each influencer — something like
linkowl.app/go/creator-name - When someone taps that link, a cookie or identifier gets attached to them
- If they install your app and make a purchase, that purchase gets attributed back to the link
- You see a dashboard showing purchases per link, per influencer, per day
That's it. No SDK integration on the influencer's end, no pixel they need to install on their page. They just use the link you give them.
With LinkOwl, creating a tracked link takes about 30 seconds. You name it, point it at your App Store listing, and hand the URL to the creator. When their audience clicks through and eventually buys, that purchase shows up against their specific link.
What data you actually get
Per-influencer links give you three things spreadsheets can't:
Click-to-purchase timing. You can see that Creator A's audience clicks and buys within 20 minutes, while Creator B's audience clicks, browses, and buys three days later. Both are valuable, but they tell you different things about how those audiences behave.
Conversion rates that matter. Not clicks, not impressions — actual purchases. Creator A might send 500 clicks and 2 purchases. Creator B sends 80 clicks and 12 purchases. The numbers look completely different when you stop optimizing for traffic and start optimizing for revenue.
Time-of-day patterns. You might discover that purchases from a particular influencer's link spike at 9pm on weekdays. That tells you something about who's in their audience and when they're in buying mode.
Handling the "but I can't track App Store installs" objection
This is the first thing developers bring up, and it's a fair concern. Apple doesn't pass referral data through the App Store in a way that's useful for attribution. So how does per-influencer tracking actually work?
The approach that works: the tracked link opens a web page first (even briefly), drops a fingerprint, then redirects to the App Store. When the user opens your app after installing, the SDK matches that fingerprint to the click. It's not perfect — nothing is post-iOS 14 — but it catches the majority of installs, which is plenty for figuring out which influencer to re-book.
LinkOwl does this automatically. The redirect happens fast enough that users barely notice. They tap the link, land in the App Store, install, open, and the attribution chain is already connected.
What to do with the data once you have it
Having per-influencer data changes how you spend money. Here's what I'd look at first:
Revenue per pound spent. If you paid Creator A £100 and they drove £180 in purchases, that's a 1.8x return. If Creator B cost £50 and drove £200, they're at 4x. Simple maths, but you literally cannot do it without per-influencer tracking.
Audience overlap. If two creators in the same niche are driving roughly the same customers (you'll see this when both links get clicks but only one gets purchases), you're paying twice for the same eyeballs. Pick the one that converts better.
Repeat performance. Track the same influencer across multiple campaigns. Some creators are one-hit wonders — their first post does well because their audience hasn't seen your product before. The second post drops off a cliff. Others maintain steady conversion rates because their audience trusts their recommendations.
A quick note on giving influencers their own data
Some creators will want to see their own performance. This is reasonable — and it's actually a good sign. Creators who care about their conversion data tend to be better partners because they'll adjust their content to drive actual results, not just impressions.
You can share a screenshot from your dashboard, or set up a simple report. Either way, transparency here builds trust and usually leads to better content from the creator's side.
The cost question
Enterprise attribution tools charge hundreds a month for this. That pricing makes sense if you're running 50 influencer campaigns simultaneously across six countries. It doesn't make sense if you're an indie developer testing three creators to see if influencer marketing works for your app at all.
LinkOwl charges 5p per attributed purchase. No monthly fee, no minimum spend. If an influencer drives zero purchases, you pay nothing. If they drive 100, you pay £5. That's the kind of pricing that makes it reasonable to track every single influencer, even the ones you're not sure about.
Getting started
Create a LinkOwl account, register your app, and generate a tracked link for each influencer. Hand them the links, let them do their thing, and check your dashboard in a few days.
The whole point of per-influencer links is that you stop wondering and start knowing. The creator who's driving purchases gets more of your budget. The one who isn't gets a polite thank you and you move on. No drama, no guessing, just data.