Analytics & Reporting
Attribution that shows where customers actually come from
Marketing budgets leak wherever attribution is fuzzy: the ads that get renewed on faith, the channel quietly outperforming without credit. Attribution replaces the faith with receipts — including for the newest channel most setups can't even see: AI assistants.
We attribute every tracked outcome to its source: organic search, maps, paid ads, social, email, referrals, direct. Over a few months the picture sharpens into strategy — which channels produce customers (not clicks), what a lead costs from each, where the next dollar does the most work. Budget reallocations stop being arguments and start being arithmetic.
The new frontier is AI-driven discovery. Visits from assistant citations and answer-engine referrals leave measurable footprints, and we track them as a channel of their own. Most businesses have no idea what share of their customers already arrive via AI recommendations; watching that line grow month over month in your own data — not a think piece — is how you'll know when the shift is real for your market.
Honest attribution includes its limits. Some journeys are messy — the customer who saw the ad, asked an assistant, then Googled you a week later. We're straightforward about confidence levels rather than dressing estimates as certainties, so decisions rest on solid ground.
What this looks like in practice
- Every conversion attributed: search, maps, ads, social, email, referral
- AI-assistant and answer-engine traffic tracked as its own channel
- Cost-per-customer by channel, not cost-per-click
- Budget recommendations backed by arithmetic, not anecdotes
- Honest confidence levels on messy multi-touch journeys
The bottom line
Every channel claims credit; attribution shows receipts. And the AI channel is growing whether you're measuring it or not — we measure it.
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