Intelligence

Attribution from ad spend to revenue

Cost per qualified lead rather than cost per form fill, computed over a single graph rather than reconciled between four dashboards.

In short

Linkubit traces revenue back over each contact's own timeline — from the first ad click through every message to the closed deal — and reports cost per qualified lead, not cost per form fill. Attribution is frozen at the close, so history does not move when a model changes.

Attribution you can audit

Walk any deal backwards

Revenue to opportunity to lead to conversation to touchpoint to campaign to audience, with no missing link.

Every touch is recorded in the same graph as the revenue
Attribution is frozen at close, so history does not rewrite itself

Closed won · ₹2.4L
Attribution frozen at close
Opportunity
Mumbai–Jebel Ali lane, weekly
Conversation
WAWhatsApp
Touchpoint
Click-to-WhatsApp ad, signed token
Campaign
Meta · Exporters – Gujarat

Revenue to campaign with no missing link — one query over one graph.

Numbers next to their limits

Deliverability against its thresholds

Bounce and complaint rates shown next to the lines that trigger an automatic pause. A rate on its own is a number; a rate next to its limit is a warning.

The pause is automatic — nobody has to be watching
The same thresholds the send path enforces, not a separate copy

Deliverability · last 7 days

Sending

Bounce rate0.6% · pauses at 2%

Complaint rate0.02% · pauses at 0.1%

Past the red line, sending pauses automatically — no human has to notice first.

The rest of intelligence

Attribution is a query, not stored state

Nothing writes an attributed campaign onto a lead. It is computed over the touchpoint history, so switching between first-touch and last-touch actually recomputes rather than relabelling.

Closed revenue does not move

At the moment a deal closes, the resolved attribution is snapshotted. Change the model later and history stays where it was — live dashboards move, the past does not.

Four metric groups

Acquisition, conversation, sales and full-funnel. Response times and AI resolution rate sit alongside pipeline and win rate, because in a conversational business they are the same funnel.

Recommendations with evidence

Recommendation, evidence, expected effect, required action. The evidence is what makes it arguable rather than something to nod at.

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