The Challenge
This Stockholm-based sustainable fashion brand had built a strong following through influencer partnerships and social media. Their 4-person marketing team was spending €30K/month on influencer collaborations alongside Meta Ads and TikTok Ads - but they had no way to measure whether the influencer spend was actually driving sales.
The Growth Marketer faced a recurring argument with the CFO: influencer marketing "felt" like it was working (engagement was high, brand mentions were growing), but none of the standard analytics tools could connect influencer content to actual purchases. UTM links captured some direct clicks, but the majority of influencer impact was indirect - people saw a post, Googled the brand later, and purchased through a different channel. This is a classic cross-channel attribution challenge.
Without proper attribution, the team couldn't make informed decisions about which influencers to renew, which to drop, and whether the entire influencer strategy was worth continuing. The CFO was pushing to shift the full €30K monthly budget to "measurable" paid ads.
The Solution
The team connected Meta Ads, TikTok Ads, and GA4 to Xplainr, and set up influencer campaign tracking with custom UTM structures and assisted conversion modeling.
- Influencer-Aware Attribution: Xplainr's multi-touch model tracked influencer content as first-touch and assist channels, revealing that 35% of total revenue involved at least one influencer touchpoint in the customer journey - even when the final click came through Google Search or Meta retargeting.
- Influencer Scorecard: Each influencer partnership got a performance scorecard showing not just engagement metrics, but downstream conversion impact: assisted revenue, new customer acquisition rate, and average order value of influenced purchases.
- AI Channel Mix Recommendations: Aria analyzed the full-funnel data and recommended doubling spend on the top 5 influencers (who drove 80% of influencer-attributed revenue) while cutting 12 underperforming partnerships that generated engagement but no conversions.
- Creative Performance Tracking: The team could now see which types of influencer content (styling videos, unboxing, behind-the-scenes) drove the highest conversion rates, informing their creative briefs.
The Impact
With clear attribution data, the team restructured their influencer portfolio: they doubled investment in the top 5 performers and cut 12 low-converting partnerships, saving €95K annually. Revenue from the influencer channel grew 80% while total influencer spend only increased 20%.
The blended ROAS across all channels improved from 1.3x to 2.6x, primarily because the team stopped over-investing in paid prospecting that was actually re-targeting customers who had already been "warmed up" by influencer content. The CFO became an advocate for the influencer strategy after seeing the attribution data - a complete reversal from wanting to cut the budget.