# Follower Size vs. Customer Affinity: Flat Across Tiers > Median purchase lift stays within 1.75×–3.50× across all follower tiers for Adidas, ESN, and REWE — mega-reach is the strongest tier for none of them **Period:** June 2025 – June 2026 **Market:** DE **Data status:** final **Data as of:** 2026-07-15T12:19:08.810097+00:00 **Sample size:** n = 3,876 **Source:** [https://www.datapods.app/en/insights/consumption/social-commerce/influencer-tier-purchase-lift-adidas-esn-rewe](https://www.datapods.app/en/insights/consumption/social-commerce/influencer-tier-purchase-lift-adidas-esn-rewe) ## Segments - **Years:** 2025–2026 - **Platform:** browsing, purchases ## Summary Across more than 3,800 creator candidates assessed for Adidas, ESN, and REWE, median purchase lift is remarkably stable from nano to mega tier — contradicting the widespread belief that smaller creators reliably out-convert their larger counterparts at the point of sale. ## The nano-advantage narrative doesn't survive the full distribution The industry consensus in 2025–2026 strongly favours nano and micro creators, pointing to engagement rates of 4–8% versus under 1% for mega accounts. But engagement and actual purchase conversion are different signals. When demographics-adjusted purchase lift is measured across the entire candidate pool — not cherry-picked examples — the tier gap shrinks to noise. For Adidas (nano–mega range: 1.75×–1.95×) and ESN (2.86×–3.50×), statistical testing confirms no significant tier effect. REWE shows a statistically detectable difference, but the spread (1.80×–2.23×) is small in commercial terms. The extreme individual lifts of 6×–12× sometimes cited for small creators are right-tail outliers, not the typical result in their segment. For brands negotiating creator fees, this means follower count alone is a weak proxy for expected audience affinity — creator-to-brand fit and audience overlap quality matter more than tier. ## Chart Grouped bar chart showing median demographics-adjusted purchase lift (y-axis) by follower tier (nano to mega, x-axis) for three brands — Adidas, ESN, and REWE — each represented by a distinct colour. Error bars indicate the 25th–75th percentile range; the number of creator candidates per bar is annotated on the chart. The observation period is June 2025 to June 2026. ## Methodology Purchase lift was measured for all creator candidates evaluated for Adidas, ESN, and REWE using a creator–audience affinity model that identifies creators whose followers over-index on actual brand purchases. Lift figures are demographics-adjusted (age × gender) based on 12-month purchase and follow behaviour among verified brand buyers. Each creator was assigned to a follower tier (nano, micro, mid, macro, mega) using a standardised classification. The chart shows median lift and the interquartile range per tier and brand; candidate counts per cell are indicated on the chart. The observation window covers June 2025 to June 2026. ## Citation Datapods (2026-07-15). *Follower Size vs. Customer Affinity: Flat Across Tiers*. Datapods Insights. https://www.datapods.app/en/insights/consumption/social-commerce/influencer-tier-purchase-lift-adidas-esn-rewe ## About Datapods Datapods is a behavioral consumer-data platform. The Insights library publishes free, citable statistics derived from a panel of 25,000+ opted-in participants in Germany: observed real behavior (transactions, browsing, media), not surveys. All data is processed within the EU and is GDPR-compliant. For brand-specific cuts, competitor benchmarks, and granular audience filters across 12,000+ tracked brands, see [https://www.datapods.app/en](https://www.datapods.app/en).