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Overview

This report delivers comprehensive influencer marketing performance analysis at the individual post level, combining influencer costs, discount code attribution, and complete order tracking across multiple markets. Data is broken down by date, country, influencer handle, post index, and discount code - enabling you to analyse performance from high-level influencer strategy down to individual post effectiveness. The report automatically identifies “winner” posts using 7-day rolling metrics (posts achieving a defined minimum amount of new orders within a specific CAC threshold), helping you quickly spot top-performing content and influencers worth reactivating or scaling. Use this report to compare influencer ROI across platforms (Instagram, TikTok), track repeat collaboration performance (post index 1, 2, 3+), analyse new customer acquisition vs. subscription conversion, calculate true profitability including all costs, and identify which influencers and content styles drive the best results for scaling your programme.

Configuration Sheet

Influencer posts, discount codes & stats are powered by the input on your configuration sheet. Influencer Stats - This sheet powers the statistics you see per influencer such as; name, category, country & following. Influencer Costs - This sheet powers the costs for each post as well as; date of post, discount code, source & owner.

Data Dictionary

Fields and their respective definitions available within this report.

Identifiers & Dimensions

Influencer Metrics

Order Metrics

Financial Metrics

Cost Metrics

Contribution Margin Metrics

Winner Identification Metrics

Questions This Report Answers

Use the Post Winners metric to identify posts that have just crossed your winning post criteria. This can be defined as a combination of minimum order quantity and CAC over a specified time range of the post going live (typically first 7 days). These are your proven performers worth reactivating for additional posts or using as benchmarks for evaluating new collaborations.
Segment by Post Index to compare first posts (index 1) vs. second posts (index 2) vs. subsequent posts. Analyse whether CAC, conversion rates, and subscription adoption improve as influencers become more familiar with your brand and refine their content approach.
Calculate CM1, CM2, and CM3 at the post level to understand profitability after COGS, fulfillment, fees, and influencer costs. Identify which influencers drive profitable growth vs. which deliver high revenue but poor margins after all costs are considered.
Analyse Following size vs. CAC, conversion metrics, and profitability to understand if larger influencers deliver proportionally better results. Compare cost per thousand followers (CPM) across different audience sizes to identify the optimal influencer tier for your budget.
Compare Subscription Orders as a percentage of Total Orders across influencers to identify which creators’ audiences are most receptive to subscription products. This helps you prioritise influencers who drive higher lifetime value customers rather than just one-off purchases.
Track cumulative metrics (Cum 7d New Orders, Cum 7d Cost) over time for individual posts to understand typical performance curves. Identify how many days it typically takes for posts to reach winner status or plateau in performance.
Analyse by Country Code to understand geographic performance differences. Compare CAC, subscription rates, and profitability across UK, US, and other markets to optimise influencer selection and content strategy by region.
Segment by Owner to compare performance across different team members managing influencer relationships. Identify which managers consistently secure high-performing influencers and apply their best practices across the team.