How we built Lens: our AI-powered marketing dashboard.

Until then, it meant stitching five tools and a spreadsheet together every time we needed a report on last month's performance. So we built a platform that pulled every source (social media, web and app analytics, e-commerce, attribution, LLMs, and others) into one dashboard and read them against each other, telling us in plain language how each channel was doing and how a change in one was affecting the rest.

There is a reason we did not stop at a tidier set of dashboards.

That is what the features underneath are really in service of. Lens produces an easy-read overview of each month, highlighting what went well, what went badly, and how each channel performed, with the current month set against both the month before and the same period a year earlier. It can also turn that analysis into a presentation, so the month's report is ready before you have built a single slide.

Once Lens was working for us, the obvious next step was to open it up to other projects, with their sources in place of ours. That is where it grew quickly: we added e-commerce, attribution to measure the revenue a business's channels are driving, a Shopify integration that brings a store's whole picture into Lens in a form you can read without needing a degree in analytics, and, more recently, how a brand is showing up across LLMs, where users now ask for recommendations. Each dashboard is built from its project's own sources, so it only ever shows what is relevant to it.

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The advisory feature is the one that adds most value, because it is where Lens stops printing data and starts helping address it. Lens reads every source on a project as one picture (goodbye multiple separate tabs), AI helps us digest it, and our strategy and marketing team turns those findings into real recommendations with clear action points, delivered straight to the project's dashboard. Then, when someone resolves an action point, Lens waits the sensible amount of time for the change to show an effect, then measures it on its own and tells you whether it worked, and why.

Reporting is good at telling you what happened, and poor at telling you whether the decision you made in response changed anything. Lens closes that gap by following a recommendation from the action taken through to the result it produced, so you can see whether the last change you made was the right call.

None of this replaces human judgement. Naturally, AI digests the data and drafts the analysis, but the recommendations still come from people who understand your business, and the decision to act stays with you. What Lens takes off your plate is the heavy lifting, the reporting done by hand, the separate tools that each tell a slightly different story, and the lag that lets a problem run for longer than it should. In its place, you get time back, and a straight answer to the thing every team wants to know, which is whether any of it is working.

That question has grown a sharper edge lately, because more and more people start by asking an LLM who to trust, and the answer either names your brand or moves past it without a word. AI visibility is the newest thing Lens tracks, and the part we would least want to be without.

Lens is included in Significa's Marketing retainer, and works best for businesses with a live store, site, or social presence to measure.