I’ve been running UGC campaigns for my brand for a few months now, and I realize I’m flying kind of blind. I know which creators are sending videos, I know how much I’m spending, but I don’t have a clear picture of which campaigns are actually driving revenue versus just creating content that sits in our library.
A few issues:
- We’re using multiple ads platforms (TikTok Ads, Facebook, Google), and attribution is a mess. A video might perform great on TikTok but flop on Facebook—is that the creator’s fault, the platform, or our targeting?
- We’re not tracking which specific UGC videos convert. We know our overall ad spend and overall revenue, but it’s hard to tie specific creators’ work to actual sales.
- Some creators perform consistently well, others not so much, but I don’t have a system to identify why.
I want to build a proper measurement framework so I can:
- Identify which creators produce the highest-ROI content
- Know which platforms maximize the value of each video
- Understand what makes some UGC convert better than others
Does anyone here have a system that actually works? I’d love to see how others are tracking this without it becoming a full-time job.
This is such an important question because it’s where a lot of brands get stuck. You can’t build long-term creator relationships if you don’t know who’s actually delivering value.
One thing I’ve seen work really well: create simple scoring criteria for each creator based on their content performance. Not just on your ads, but on their own channel too. Engagement rate, comment quality, audience type—these are early signals.
Then, when they produce content for you, use unique discount codes or UTM parameters tied to each video. That way you have direct attribution. It’s old school but it works.
For multi-platform campaigns, I’d suggest testing each video on one platform first before spreading budget across three. You learn faster, attribution is clear, and once you know a video converts, then you scale it.
The key insight: you’re not just measuring the creator, you’re measuring the creator + content + platform match. Sometimes a creator’s style doesn’t fit Facebook but crushes it on TikTok. That’s valuable to know.
Okay, let me break down the measurement framework that actually works:
Level 1: Video-Level Attribution (Most Important)
- Assign each creator a unique discount code (e.g., “UGC_SARAH_MAR15”)
- Use UTM parameters on every video link: utm_source=ugc, utm_medium=video, utm_campaign=creator_name
- Track in Google Analytics and your e-commerce platform: conversions, revenue, AOV, repeat purchase rate
- This gives you creator-specific ROI
Level 2: Platform Performance
- Track which platform each video runs on
- Measure: Click-through rate, conversion rate, cost per conversion by platform
- Data: TikTok Ads Manager, Facebook Ads Manager have this built-in
- You’ll likely find one platform converts better than others—move budget there
Level 3: Creator Quality Scoring
Score creators on these metrics:
- Conversion rate (% of clicks that convert): 10% is good, 15%+ is excellent
- AOV impact (do their videos attract higher-spend customers?): Compare AOV of customers from Creator A vs Creator B
- Repeat purchase rate (do customers acquired from this creator buy again?): Critical for LTV
- Cost per conversion: If Creator A costs $2/conversion and Creator B costs $5/conversion, keep Creator A
Formula for Creator ROI:
Revenue from creator’s code / Total ad spend on creator’s videos = ROAS
Target: 3-5x ROAS for break-even to profit. Below 3x, the creator partnership isn’t viable.
Benchmarks to aim for:
- CTR (click-through rate): 1-3% depending on niche
- CVR (conversion rate): 3-8% depending on product price
- ROAS: 3-5x minimum, 5-8x is good territory
Implementation:
Set up a simple spreadsheet: Creator Name | Video ID | Platform | Spend | Revenue | ROAS | Repeat Rate
Update weekly. Takes maybe 30 minutes.
This system removes guesswork. You’ll quickly see who’s truly valuable and who’s underperforming.
From a founder’s perspective, I’ve made mistakes here. I was too slow to set up proper tracking, which meant I kept working with creators who looked good but weren’t actually driving revenue.
Here’s the practical implementation I use now:
- Every creator gets a unique promo code. No exceptions. Not negotiable.
- Track lifetime value of customers acquired via each creator. This is key—don’t just look at first purchase. Some creators bring high-quality customers who buy again; others bring one-time buyers.
- Have quarterly reviews with creators. Show them their data: “Your videos have 8% conversion rate, which is in the top 20% of creators we work with. Here’s what we’re paying, here’s what you’re earning brands.” This motivates them and keeps partnership transparent.
- Use a simple dashboard. We use a Google Sheet that pulls data from our e-commerce platform. Super basic, but it’s updated daily and accessible to anyone.
The mistake I see most brands make: they try to measure “brand awareness” or “engagement” instead of actual business impact. Those metrics are vanity. Measure what matters: revenue and customer quality.
Set this up now before you have 20 creators. It gets exponentially harder to track later.
My agency handles this for a lot of clients, so I’ll give you the framework we use:
Setup (One-time, ~2 hours):
- Create unique discount codes for each creator (or unique landing pages if you prefer)
- Set up UTM tracking in Google Analytics
- Pull revenue data from Shopify/WooCommerce daily into a dashboard
- Create a simple scorecard for each creator
Weekly Tracking (20 minutes/week):
- Update aggregate data: spend, clicks, conversions, revenue
- Flag any videos underperforming (ROAS below 2x)
- Identify which platform is performing best
Monthly Analysis (1-2 hours/month):
- Rank creators by ROAS
- Identify patterns: which video styles, angles, products convert best?
- Prepare insights for next month’s creator briefs
- Share performance feedback with top creators
Key Insight: Attribution matters, but consistency matters more. You don’t need perfect attribution. You need trackable attribution so you can compare creators fairly.
One more thing: watch the repeat purchase rate. Some creators bring customers who buy once and never return. Others bring high-quality customers who become repeat buyers. The second group is way more valuable long-term.
I recommend moving budget toward creators with:
- Higher than average repeat purchase rate
- Higher than average AOV
- Consistent conversion rates across multiple videos
These are your long-term partners.
From the creator side, I love when brands track this stuff because it means they’re investing in partnerships strategically, not just throwing money at random content.
One thing I’d say: share the data with creators. Tell me my conversion rate and how I compare to others (without naming other creators). This helps me understand what’s working and improve.
Some of my best content for brands comes from getting feedback like, “Your product unboxing style converts at 12%, but your casual lifestyle integration only converts at 4%. Let’s do more unboxing.” That data is valuable to me for improving.
Also—some of the best UGC I produce doesn’t get tracked properly because the brand wasn’t set up to track it. It runs in ads, converts well, but then just… disappears into the brand’s library. I never get feedback. Huge missed opportunity for both of us.
So yes, set up proper tracking. Your creators will respect it and perform better knowing you have metrics-based relationships.
One practical tip: when you brief a creator, be specific. Instead of “Make UGC for our product,” say “We need 3 videos: product unboxing, lifestyle integration, and customer testimonial. Based on feedback from other creators, unboxing performs best. Give it priority.” This guidance helps creators nail it on first take instead of multiple revisions.
Let me give you a strategic framework that scales:
Tier 1: Attribution (Foundation)
- Unique promo codes for each creator + video
- UTM tracking across all platforms
- Database connecting video ID → creator → discount code → revenue
- Update daily, not manually (use Zapier/automation)
Tier 2: Performance Metrics (Insight)
- ROAS by creator: Revenue / Ad Spend
- Conversion rate by creator: Conversions / Clicks
- AOV by creator: Avg order value from that creator’s code
- Repeat purchase rate: % of customers who bought again within 90 days
- CAC by creator: Cost to acquire each customer
Tier 3: Strategic Insights (Action)
-
Creator Quality Ranking: Score creators on ROAS + repeat purchase rate + consistency
- Top tier: 4-5x ROAS + 15%+ repeat rate = expand partnership
- Mid tier: 3-4x ROAS + 10% repeat rate = maintain relationship
- Bottom tier: <3x ROAS + <5% repeat rate = phase out
-
Content Performance Analysis: Which types of videos (unboxing, testimonial, lifestyle) convert best?
- Move budget toward high-converting formats
- Brief new creators on what works
-
Platform Optimization: Which platform converts best with which creators?
- Test each video on one platform first
- Scale winning combinations
-
Customer Quality Analysis: Compare LTV of customers from different creators
- Some creators bring high-LTV customers (worth paying more for)
- Others bring low-LTV (churn quickly)
Implementation Roadmap:
Week 1: Set up unique codes + UTM structure
Week 2: Build simple tracking dashboard
Week 3: Analyze first month of data
Week 4: Brief new creators based on insights, adjust existing partnerships
Reality check: Most brands lack this framework. Having basic attribution puts you in top 20% of sophistication. With it, your ROAS will improve 25-40% within 2-3 months just from better allocation.
What’s your current ad spend monthly? That determines dashboard complexity.