Creator marketing looks easy to measure. A creator posts a link, clicks come in and a dashboard shows sales. The hard part is knowing whether those clicks were people, whether the sales were credited to the right creator and what the numbers can honestly say. A growth marketer who cannot answer those questions can spend a budget on traffic that was never real or give the wrong creator credit for a sale.
This guide explains how to hire growth marketers who actually understand creator marketing. It covers what the role asks for, what creator traffic really looks like, where real clicks go missing, how to test candidates, where to source them and how to score them fairly. It ends with a table of warning signs. We found no study showing which growth marketers perform best in creator work, so the advice is practical reasoning built on related evidence. It is general information, and the right profile depends on your product and budget.
What the Role Asks For
Postings show how companies write the role down. Pack.com’s posting for a Growth Marketer (Creator & Performance Specialist) asks for creator-led campaigns judged on “performance metrics like ROAS, CAC, conversion rates, and retention”. It asks the person to work out which creators, platforms and formats bring the highest lifetime value using “attribution data”, to structure performance-based pay and affiliate deals and to bring “a deep understanding of modern creator dynamics”. It names tools such as Google Analytics, Mixpanel and Amplitude.
The posting says nothing about fraud, traffic quality or bot checks. It is one posting, not a survey, and we could not confirm it is still open. It does show what the role is usually measured on: results and attribution. When you write your own posting, add a line on traffic quality, such as how the person checks that clicks are valid, so that candidates who have never thought about it can see the question coming and those who have can say so. A candidate can be strong on return on ad spend and still not know whether the clicks behind it were real. For a wider view of the profile, see the guide to hiring an internet marketer and our piece on marketing analytics.
What Creator Traffic Really Looks Like
Not every click on a creator’s link is a person. Imperva’s 2025 Bad Bot Report, as summarised by Malwarebytes, says bad bots made up 37% of internet traffic in 2024, up from 32% in 2023. That figure covers the whole internet, not creator links, and the summary gives no sample or method. It shows the scale of the problem, not the share of any one campaign.
Fake audiences are a related issue. HypeAuditor, a social analytics firm, reported that 33% of influencers in the UK were affected by fraud, against a world average of 55%, according to a NetImperative summary with no date, sample or method. That concerns followers and comments, not link clicks, and it comes from a vendor, so read it as a warning and not a measurement.
The Media Rating Council, in a 2020 draft press release, defines invalid traffic as traffic “that does not meet certain quality or completeness criteria”, and lists non-human traffic such as bots among the reasons. The useful idea for hiring is the split between a click and a valid click. A candidate who treats every click as a visit has not yet met the problem.
Where Real Clicks Go Missing
Even real clicks can fail to reach a sale you can trace. Security researcher Felix Krause reported in 2022 that Instagram and Facebook on iOS open links in their own built-in browser and inject JavaScript into the pages shown, as Engadget described it. Meta said the code respects users’ tracking choices. The research covered iOS only and documented what the apps could do, not confirmed collection.
For marketers the practical issue is attribution. Make Influence, which sells influencer software, says the in-app browser usually does not keep cookies between visits, so a later purchase can look untracked. Its worked example, which it labels illustrative, has cookies matching 80% of purchases and an IP fallback lifting that to 90%. It also says no reliable aggregate figure exists for how often this happens.
So a candidate should expect some sales to appear with no creator attached, and should say so. Our guide to marketing attribution models explains the main methods. Make Influence also describes discount codes as a complementary method for delayed and cross-device purchases, and server-to-server tracking as a cookieless alternative. A good candidate should be able to say why a team might use more than one method. Treat any exact return on investment for a single creator link with suspicion.
Test Whether Candidates Know What Creator Traffic Really Looks Like
OpeninApp’s business page is one example of how vendors describe the problem. It lists bot traffic detection that “aims to verify true audience reach, safeguard influencer metrics, and validate real user clicks”, alongside source-specific click data, tracking per influencer and per creator link, and a claim to eliminate in-app browser drop-offs. Its headline figures, including 95% fraud filtration, have no stated method. The page does not explain how detection works or what counts as a bot, so we treat all of it as vendor claims, and it says nothing about hiring. What it does offer is a list of features a candidate should be able to discuss, including what each can show and what it cannot.
Turn that into an exercise. Give the candidate a fictional creator campaign report, for example 10,000 clicks, 200 sales and a return figure, with a short note on where the clicks came from. Then ask four things. How many of those clicks were real people? Where did they come from, and does the source look right? How many sales can be tied to the creator, and what would you expect to be missing? What would you tell the finance team, and what would you not claim? Listen for specific checks, awareness of in-app browsers and a refusal to give a false exact number. Use the same report for every candidate, and keep the figures fictional so nobody can rehearse with real data.
Where to Source Candidates
Start with people who have already run creator campaigns for brands or agencies and can describe the numbers they reported. Marketers from performance, affiliate and ecommerce teams may have the tracking habits you want, and creator partnership staff can tell you who knows the field. A specialist marketing recruitment agency can shortlist for you, and the guide to talent sourcing tools covers ways to organise the search. Our guide to partnership managers who close creator deals covers the role that sits next to this one.
No channel has been shown to produce better creator growth marketers. We looked for evidence and found none, so judge each channel by what it gives you: candidates who can describe a campaign’s numbers and say what they did not trust. Screen for that early.
Score Fairly
A 2022 study by Paul Sackett and colleagues in the Journal of Applied Psychology, summarised in SIOP’s TIP by HumRRO researchers, estimated that structured interviews had a mean validity of .42 and work sample tests .33 for predicting job performance. These are averages across many jobs, not figures for marketers. The practical reading is to combine them. Ask every candidate the same questions about past campaigns, then add the click audit.
Write the criteria on an HR scorecard so every interviewer rates the same things, and use a consistent interview guide. Score independently before comparing notes, because interviewer bias can make a confident talker sound more rigorous than they are. Interview feedback examples help interviewers record evidence rather than impressions.
Warning Signs You Are Hiring the Wrong Creator Growth Marketer, and What to Do About Each
Check this table before you post the role and again before you make an offer. One sign means fix one thing. Three or more mean pause and rework your process before you interview anyone else.
Hire for Honest Numbers
The growth marketer worth hiring knows that a click is not always a person, that a sale is not always traced and that a clean ROI figure can hide both. Define what valid traffic means for your campaigns, source people who can describe real numbers, test them with the click audit and check what they say against references. If the scorecard, the exercise and the references agree, you are probably hiring someone who understands creator marketing and will tell you what the data cannot show.
