Attribution only works across tools.

Exceptions show up when Shopify, WhatsApp, Gmail, and Slack disagree. Beya joins them so you see the gap, not four separate green dashboards.

Cart #4821 $112, abandoned 14:02
Recovery email Sent 14:17, unopened
Cart #4821 No message sent
Linen Wide-Leg, size 12 Returned at 34%
Store average Returned at 9%
Return reasons 9 of 11 say smaller than expected
Prospecting-B Promises free shipping over $75
Sessions from that ad set 78% abandon at cart
Average cart, that ad set $52

Cart #4821 $112, abandoned 14:02
Recovery email Sent 14:17, unopened
Cart #4821 No message sent
Linen Wide-Leg, size 12 Returned at 34%
Store average Returned at 9%
Return reasons 9 of 11 say smaller than expected
Prospecting-B Promises free shipping over $75
Sessions from that ad set 78% abandon at cart
Average cart, that ad set $52

What you can do

Ask the questions you actually have.

Attribution that survives a channel switch

See which touch actually recovered a cart. Shopify says converted, WhatsApp says it sent the message, email says it never opened. Beya joins the three into one answer.

› Which channel actually recovered this week's high-AOV carts?

Spot when tools disagree

Shopify marks an order delivered while Klaviyo logs the follow-up as bounced. Beya flags the mismatch instead of letting it sit as two green dashboards.

› Where do Shopify and Klaviyo disagree on delivery?

Trace revenue across the funnel

Connect ad spend, the message that followed, and the order that closed, in one thread instead of three exports stitched together in a spreadsheet.

› Which touch actually converted this order?

How it works

Three steps from connect to act.

Beya reads every tool the same way

Orders, messages, sends, and alerts are normalized into one shape, so 'customer' in Shopify and 'contact' in Klaviyo are the same record.
Joins run automatically

Beya matches records across systems by order ID, email, and phone. No manual VLOOKUP, no export-and-merge.
The gap becomes one exception

When two tools disagree, that disagreement is the answer, delivered as a single exception with both sides shown, not four separate dashboards to reconcile yourself.

Connected sources

Plug into the tools your business already runs on.

Shopify · Orders & customers
WhatsApp · Message & delivery events
Gmail · Send & reply events
Slack · Team alerts
Klaviyo · Email sequences
Meta · Ad spend & audiences

FAQ

The questions buyers ask before they sign up.

What counts as tools "disagreeing"?

Any place two systems record different states for the same event. Shopify says a cart converted, your recovery tool says it never got a message; Klaviyo logs a send, Gmail shows no open. Beya surfaces the mismatch instead of averaging it away.

Does this replace my attribution model?

No. It's the layer underneath one. Beya doesn't guess a weighting; it shows you exactly which systems agree, which don't, and why, so your model (or your judgment) has real inputs.

How fresh is the joined data?

Most sources sync in near real-time via webhooks, with a daily reconciliation pass across all connected tools so nothing silently drifts.

What if a tool goes down or disconnects?

Beya flags the gap explicitly: joins involving that source are marked stale instead of silently falling back to partial data.

Pair with