Conjura

What it does

Conjura links store, ad and marketplace data to show product-level revenue, costs and ad spend so merchants and agencies can measure SKU profitability and adjust marketing and merchandising decisions. SKU-level attribution Conjura maps ad spend and conversions down to individual SKUs so teams can see spend, revenue and margin by product. This lets merchants identify which products are profitable or loss-making and prioritise where to pause, scale or reallocate ad budgets at the product level. Connectors and data centralisation The platform offers built-in connectors for major eCommerce platforms (Shopify, BigCommerce), analytics (Google Analytics 4) and ad channels (Google Ads, Meta Ads, TikTok Ads, Microsoft Ads, Amazon Ads). Users connect stores, ad accounts and analytics to centralise orders, clicks, ad spend and product metadata for unified reporting. Marketplace and affiliate handling Conjura ingests marketplace and affiliate transaction data (examples include Amazon Seller Partner and AWIN) and incorporates commissions and marketplace-specific fees into profitability calculations so marketplace sales and associated costs appear alongside store sales in reports. Profitability and inventory-aware dashboards Dashboards combine revenue, costs (including commissions and refunds), ad spend and product data to calculate margin and profit at the SKU level. These views support merchandising, pricing and ad optimisation decisions by highlighting product-level contributions to overall profitability. Attribution model and reporting cadence Conjura documents that it applies a last-click attribution model for revenue attribution; teams that need multi-touch attribution should note this modelling choice. The platform also describes an initial data processing window (typically a few hours, up to 72 hours for very large accounts) to generate the first reports after connectors are configured.