Topic · Tracking
Content and product tracking on social media, without the guesswork.
Why tracking content and product performance across social is the foundation of social commerce for DTC — and what AI-driven tracking makes possible.
Why tracking matters
Most DTC brands know social drives revenue. Very few can say which post, which creator, or which product mention actually caused an order. Without that, every social decision is a guess: which creator to renew, which content to boost, which SKU to feature next.
Content and product tracking closes that gap. When you can tie a piece of content or a product mention back to real orders, the whole social strategy stops being a bet and starts being a system.
What good tracking answers
Which content is actually converting?
Not just which post got likes — which one drove clicks, add-to-carts, and orders.
Which products are moving from social?
See per-SKU pull by platform and creator, so merchandising follows the actual demand.
Which creators drive real revenue?
Move past follower count. Rank creators by orders driven and lifetime value of the customers they bring.
What should you do next?
Turn tracked signal into weekly actions: creators to renew, content to amplify, products to push.
Where AI actually helps
AI is not the point — the point is decisions. But when there are thousands of posts, hundreds of creators, and dozens of SKUs, AI-driven tracking is what makes those decisions tractable. It groups content, attributes revenue, and suggests the next move without you living inside a spreadsheet.
- — Automatic detection of your brand and products in creator content.
- — Attribution across posts, links, and storefronts.
- — Ranked recommendations, not raw dashboards.
See it on your data
Turn tracked content into next week’s plan.
Book a walkthrough — we’ll show you what your existing social content is really driving, and what to do about it.