Every campaign, measured by the pipeline it generates.
We are a Meta Business Partner and a Google Partner. Claude captures every lead from your campaigns, attributes it to the touch that mattered, scores it by intent and delivers it classified to your CRM. The report moves from CTR to opportunities.
4
channels
Meta · Google · WhatsApp · web
1
source per lead
attributed and stored
0
unowned leads
the country rule decides
8
industries
same engine running
UNDER THE HOOD
Each paid lead is worth what its source and intent say.
A campaign that reports 200 leads with 12 that matter is a campaign measuring vanity. Claude reads each lead that came through paid media and decides how much it's worth: by source, intent, fit, and what it cost to bring in.
Sample signal
The campaign signal comes in
Meta Lead Form, campaign "Fleet quote". Filled in: "12 vehicles, budget this quarter". Declared title: Fleet Manager. Came from a retargeting ad after 3 visits to the pricing page.
High-quality source
Lead Form + retargeting after 3 pricing visits → already researched, not a scroll-curious
Explicit intent
"12 vehicles" + "this quarter" → defined volume and timeline
Account and role fit
Fleet Manager → decision-maker, not an inquiry
Lead economics
CPL for this campaign against the potential deal size → worth attending today
Score
93/100
Verdict from Claude
Hot lead → Corporate Sales pipeline. WhatsApp in < 10 min. Message drafted.
The campaign signal comes in
Click on Google Search ad "management software", filled web form with generic email. No declared title. Single session, 40s on site. Company fits the target profile.
Research intent
generic search + 40s on site → exploration phase, not buying phase
Weak identity signal
generic email, no title → decision-making weight can't be assessed yet
Correct account fit
company within ICP → worth nurturing, not discarding or burning in a call
Cost vs stage
low CPL + early stage → automated sequence is what's profitable
Score
44/100
Verdict from Claude
Nurturing sequence by email/WhatsApp. Re-score when they interact again.
The campaign signal comes in
Cold traffic Meta campaign spending 60% of daily budget. High lead volume, but 80% repeat the same pattern: disposable email, form filled in < 4s, zero follow-up response. Same time window.
Low-quality pattern
disposable email + form in < 4s → strong signal of junk lead/bot
Anomalous concentration
80% same pattern in same time window → badly calibrated segment or creative
Zero engagement
0 follow-up response → doesn't convert downstream, not just "cold"
Economic impact
consumes 60% of budget and contributes 0 to pipeline → active leak, not investment
Score
17/100
Verdict from Claude
Alert to media buyer: pause segment, reallocate budget to higher-quality campaign. Not to CRM.
WHAT THE AI DOES WITH YOUR TRAFFIC
Five tasks between the click and the pipeline
Every lead that comes through paid media goes through these five steps, each with its rule and its trace. Your team receives an ordered pipeline, not a spreadsheet.
claude.capture(lead)
Catches the lead no matter where it comes from
Meta Lead Form, web form, click-to-WhatsApp, Google landing page. Everything enters the same unified, normalized funnel with its source attached — no broken pixel, no lost spreadsheet.
› input
Meta Lead Form · campaign="Fleet quote" · adset="Retargeting pricing"
› claude →
source: Meta · Lead Form
campaign: Fleet quote
origin: retargeting (3 prior visits)
UTM normalized · dedupe vs CRM ✓
→ enters unified funnel
claude.attribute(touches)
Gives credit to the touch that actually mattered
Reconstructs the multi-channel journey: the Meta ad that introduced them, the Google search that brought intent, the WhatsApp that closed them. Multi-touch attribution — not naive last-click.
› input
Journey: Meta (discovery) → Google Search (intent) → WhatsApp (close)
› claude →
model: weighted multi-touch
Meta Awareness — 35% of credit
Google Search — 45% (intent touch)
WhatsApp — 20% (closing touch)
→ real ROAS by channel, not inflated
claude.score(lead)
Puts a number on how likely it is to close
Not just "Meta lead". Score by declared intent, source quality, account fit, and lead economics. The number comes with the reasoning alongside, so the media buyer trusts it.
› input
Lead: "12 vehicles, budget this quarter" · Fleet Manager · retargeting
› claude →
intent: high (volume + timeline)
source quality: high (retargeting)
account fit: within ICP
score: 93 / 100
→ priority: human contact NOW
claude.route(lead)
Drops it into your CRM, classified and in the right pipeline
The ad lead doesn't land in an inbox: it enters your CRM at the correct stage, assigned, with campaign context and a first message ready in the channel where they responded. This is where it connects with the AI CRM layer.
› input
Lead score 93 · corporate segment · preferred channel WhatsApp
› claude →
CRM: created in Kommo
pipeline: Corporate Sales · stage New
assigned: large accounts rep
WhatsApp message drafted by Claude
→ continues in the AI CRM layer
claude.optimize(campaign)
Tells the media buyer where to put the next dollar
Closes the loop: which campaign, adset, and creative generate real pipeline (not just clicks). Detects creative fatigue and budget leaks before they eat the month.
› input
Performance 14 days · 5 campaigns · downstream signal from CRM
› claude →
campaign "Fleet" — 4.2x ROAS on pipeline
campaign "Cold generic" — leak: pause segment
creative A — fatigue detected (CTR -38%)
recommendation: +30% budget to "Fleet"
→ decision with the why, not blind
LIVE SYSTEM · Grupo Latitud
This is what it looks like inside an AI-operated system — and how it is governed.
A campaign is measured by the business it brings into the pipeline. This tour follows a lead from the moment it arrives until it shows up, or not, in the pipeline.
Modules in this tour
- 01Captured, deduplicated and attributed
- 02The lead comes in where the customer wants
- 03The campaign is measured in opportunities
- 04Pipeline by channel
- 05The AI that already came in through marketing
Boosty Standard for Operating with AISimulated AI · demo data
THE SAME ENGINE
Same funnel. Each industry reads its own signals.
We don't build a different tracking setup per industry. The same engine captures the campaign lead, attributes it, and scores it with the signals specific to each business. This runs on stack already in production.
Signals specific to the industry
Signals specific to the industry
Signals specific to the industry
Signals specific to the industry
Signals specific to the industry
Signals specific to the industry
THE REAL FUNNEL
184 thousand impressions. 23 closes.
The number at the top impresses in a meeting. The one at the bottom pays payroll. We show you both — and where each lead drops — because measuring clicks is measuring vanity.
meta + google.serve()
Impressions
media served · 4 channels
click.track()
Clicks
CTR 2.78% · server-side
claude.capture()
Leads
captured and deduplicated
claude.score()
Qualified
score ≥ 60 · real intent
crm.won()
Closes
deals won · real pipeline
MULTI-TOUCH ATTRIBUTION
Last-click gives the credit to the wrong channel.
If WhatsApp closed the lead, the last click takes all the merit — and you kill the Meta campaign that discovered it. Claude reconstructs the full journey and splits the credit by the real role of each touch.
Lead journey
Discovers
Meta Ads
Awareness video — first contact
Intent
Google Search
"fleet management software" — searched for a solution
Reminds
Meta Retargeting
3 visits to the pricing page
Closes
Click-to-WhatsApp — booked a call
⚠︎ last-click would have given 100% to WhatsApp and 0% to the Search that brought the intent. Optimizing on that = switching off what works.
IN THE SYSTEM · CAPTURE AND ATTRIBUTION
The same lead twice is one lead.
Forms and campaigns come into a single list, with duplicates joined to their original and attribution to the touch that mattered, not the last click.
Real screenshot of the system · demonstration data
FROM AD TO CRM, LIVE
An ad lead comes in raw. It leaves classified.
This is the seam: traffic does not end in a form, it ends in your pipeline. The same lead you paid to bring in enters the CRM-with-AI layer already scored and in its place — with nobody copying and pasting anything.
IN THE SYSTEM · CHANNEL ANALYTICS
A channel is measured in pipeline, not in clicks.
Every channel and campaign with the leads it generated, the opportunities that came from them and their weighted value.
Real screenshot of the system · demonstration data
CONNECTED STACK
From ads to pipeline, no gaps.
The traffic layer plugs into your ad platforms and your CRM. If it has an API or webhook, we connect it.
Claude · Anthropic
Claude PartnerThe engine: capture, attribution, scoring, and budget decision with reasoning
Meta Business
Meta Business PartnerLead Ads, server-side Conversions API, and downstream pipeline signal
Google Ads
Google PartnerSearch/Performance Max + offline conversions to optimize to deals, not clicks
WhatsApp Business
Click-to-WhatsApp captured and the first message goes where the lead responded
Kommo CRM
PartnerThe campaign lead enters classified, scored, and in the right pipeline
Make / n8n
Lead Form and form webhooks to any CRM or ERP without a modern API
Supabase
Deno Edge Functions: real-time capture, deduplication, and attribution memory
Frequently asked questions about Digital Traffic
Both. We're Meta Business Partner and Google Partner, so we manage campaigns — but what sets us apart is the AI layer that connects that paid media to your pipeline. You can keep your current media buyer and we put the capture, attribution, and scoring layer on top; or we do it all. Your call.
Because those dashboards optimize to their own metric, not yours: clicks, leads, pixel conversions. A lead is not a deal. Our layer closes the loop with your CRM and measures ROAS on real pipeline — which campaign generates revenue, not which generates forms. Almost no native dashboard gives you that.
That's exactly why the layer exists. We don't rely solely on browser pixels the user blocks: we capture events server-side directly from your forms and CRM (Conversions API, offline conversions). Attribution is rebuilt with first-party data, which in 2026 is more reliable than the pixel.
With a weighted multi-touch model, not last-click. Claude reconstructs the journey (the ad that introduced them, the search that brought intent, the WhatsApp that closed them) and distributes credit based on each touch's role. You see the why behind each percentage — not a black box.
As it arrives. It's captured, deduplicated against your CRM, scored, and enters Kommo (or your CRM via API/Make) in the right pipeline and stage, assigned, with a first message drafted. This is where Digital Traffic connects with our AI CRM layer: the lead enters classified, not raw.
Yes. It detects low-quality patterns (disposable email, form filled in seconds, zero downstream engagement, anomalous concentration) and flags them before burning your sales rep or inflating the report. A junk lead doesn't enter the pipeline; it triggers an alert to the media team.
There is no media spend floor. With a tight budget it matters more to know which lead becomes an opportunity and which does not, and that is what the AI layer measures: pipeline by campaign, on top of clicks.
It is defined in the assessment. The scope — what gets built first and what waits — comes from what we see in your operation, not from a catalog. Book 30 minutes and we give you the range in writing.
A WORD FROM THE FOUNDER
“Paid media is measured by the customer who paid: that is the datum that has to flow back to the campaign.”
Measuring a campaign by cost per click is like measuring a fishing trip by the bites. A media report can show CTR above benchmark and thousands of form fills, and right beside it a sales team saying the leads are no good. Both readings can be true at once, because each one looks at a different stretch of the same funnel.
We work as a Meta Business Partner and Google Partner to manage the spend, and on top of that we build the layer between the click and your CRM: every campaign lead enters attributed, scored and classified, and the close flows back to the platform as a conversion. The AI prepares the reading of each lead and the budget recommendation; where the next dollar goes is decided by a person, looking at the deal.
For the business, that means a media report and a pipeline that tell the same story. Book 30 minutes with me: we bring one of your campaigns and see live which lead closed and which one used up budget. Does your campaign know today which of its leads ended up paying?
Gabriel Montiel
CEO · Boosty Digital
LET'S TALK
Shall we measure the pipeline each campaign generates?
Schedule a 30-minute assessment. We bring a real campaign of yours and show you live which lead matters, which channel gets the credit, and where the budget is leaking. No corporate deck.