Ask what your CAC is today — right inside Claude, where you already work. Running a two-person shop? The same answers show up in Slack. No new dashboard to learn, no sales call to sit through.
Illustrative — figures are examples, not a live account.
You run the store, buy the ads, and do the analysis — usually late, usually alone. And the numbers you'd base a decision on don't line up.
“When I have 100 sessions and 5 sales. I should have a 5% conversion rate. Shopify however… tells me it's 0.7%.”
“Some sales are simply not recorded in Shopify at all.”
“Most sellers do not really trust the performance numbers from Meta and Google.”
You don't distrust the dashboards for no reason. You distrust them because they disagree.
No fifth tab, no dashboard to build. The answer shows up in the tools you already run the business in.
Sign up, add a card, connect Shopify, Meta, and Google. Signal Analyst works inside your Claude account via MCP — we walk you through the one-time connect. First answers come in minutes; your full history backfills in the background. Klaviyo is coming soon.
“What's my CAC today?” “What did I spend by source?” A straight answer inside the Claude you already use — no new dashboard, no tab to bookmark and forget.
Two-person shop? Point Signal Analyst at your Slack and the same answers show up where you already talk to each other.
On day one, Signal Analyst answers a deliberately narrow set — daily revenue and orders, spend by source, data freshness, and real-time CAC. “Analyst” is the job it does for you, not a claim it will answer anything.
Signal Analyst starts from corrected revenue definitions, sales-channel exclusions, and a real-customer filter — applied once, upstream — so the answer is already reconciled before you ever read it. Same number, calculated the same way, every time you ask.
Ask what your CAC is today and get a straight answer the same day — not three weeks after a bad campaign already ran.
Corrected revenue, sales-channel exclusions, and a real-customer filter applied upstream, so the number is reconciled before you read it.
Every customer's data is isolated. One shop's numbers never appear in another shop's answers. A hard guarantee.
Prepaid monthly usage allowance · larger plans get a better effective rate
Light usage — a question or two a day. For a shop spending a few hundred to ~$1K/mo on ads.
StartMost-days usage — checking the numbers as you run the day. Fits a shop spending ~$1–2K/mo.
StartClaude and Slack on every plan. Every plan includes a monthly usage allowance — the tier sets how much you can ask, not which surfaces you get. No spend minimum, no sales call, no annual contract. Your card sets up your account — not a calendar invite.
Signal Analyst is the front door. When you grow into harder questions — why CAC moved by channel over eight weeks, unit economics across COGS and shipping — there's a team behind it.
The self-serve product: Signal Analyst in Claude and Slack.
Start at $30/moA retainer with the operators who built the data layer — for the questions past the launch contract.
Contact for pricingCustom engagements to make a larger team's data AI-ready across the whole stack.
Contact usIn the age of AI, the thing that matters is taste. We've built the data layer for eight-figure DTC and apparel brands, and we build the tools we wished we had.
One calibrated layer means you get the same number the same way every time — not five different answers from five private Claudes.
Every capability we add, every connected store gets. The product gets sharper while you sleep.
Context: Forrester found 78% of US B2C marketing executives say their marketing technologies are siloed. Signal is the layer that un-silos them for AI.
Forrester Q3 2024 B2C Marketing CMO Pulse Survey
Signal Analyst ships August 1, 2026. Leave your email and be first in when self-serve opens — or book a Growth Signal Check and we'll walk your data together.
No spend minimum · No sales call · $30 to start