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Growth AI · Installed Intelligence Systems · From $5,997/mo

AI Intelligence & Analytics — Automated Discovery Across Campaigns, ICP, Audiences, Sales

Stop drowning in dashboards that do not tell you what to do next. Our team installs an AI intelligence layer that connects GA4, GSC, HubSpot, Stripe, ad platforms, and your CRM. It surfaces who your best buyers are, which campaigns pay back, where audiences overlap, and which pipeline motions convert. One integrated system. Six intelligence streams. Deployed to your stack in 30 days.

See sample dashboards →
6Intelligence Streams
30-DayFull Install
12+Native Integrations
$15M+Ad Spend Managed
Step 1 of 2
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Native integrations: GA4 GSC HubSpot Salesforce Stripe Google Ads Meta Ads LinkedIn Ads BigQuery Segment PostHog Looker
Quick Answer
What is AI Intelligence & Analytics?

AI Intelligence & Analytics is an installed intelligence layer that turns raw data across GA4, GSC, HubSpot, Stripe, and ad platforms into automated discovery workflows. Instead of static dashboards, it continuously surfaces which campaigns pay back, which ICP segments convert fastest, where paid and organic audiences overlap, and which pipeline motions produce revenue. Six discovery streams run on your stack and report findings weekly to your marketing and sales leadership.

Instant Proof

Numbers our clients see inside 90 days.

Trailing 12 months of client outcomes reported after the intelligence layer is live and the first two weekly discovery cycles have run.

3.4x
Median lift in paid channel ROAS after audience overlap dedup
-42%
Reduction in wasted ad spend on non-ICP segments
31%
Increase in SQL conversion rate on top pipeline motion
30 Days
From kickoff to fully installed intelligence layer
“

Their team plugged our GA4, HubSpot, and Stripe together in a way our BI team could not deliver in six months. Inside 30 days we knew exactly which ICP segments were paying back and killed $180K/year in wasted ad spend on segments that never converted.

JR
Jenna R.
VP Marketing at a Series B B2B SaaS
The Complete Package

Every intelligence stream, itemized.

The Growth AI retainer at $5,997/month includes every stream below. Purchased individually as one-off audits or dashboard projects, retail is $27,500 for the first quarter.

Included at Retail Value
GA4 + Server-Side Tracking Audit & Rebuild$5,997
Cross-Channel Attribution Model (paid + organic + direct)$3,800
ICP Discovery Cohort Layer (firmographic + behavioral)$3,200
Audience Overlap Deduplication (paid channels)$2,400
Pipeline Motion Analysis (SQL to closed-won paths)$3,600
Content Signal Layer (GSC + on-site + AI citation)$2,800
Revenue Attribution (Stripe + CRM close data)$2,900
6 Custom Executive Dashboards (Looker or native BI)$2,400
Weekly Discovery Digest + Monthly Board Report$1,200
Dedicated Slack Channel + Async StandupIncluded
Retail if purchased separately (Q1)$26,800
Your Growth AI retainer (per month)$5,997
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3-month minimum. Cancel anytime after with 30 days notice.

What You Actually Get

Six intelligence streams. One installed layer.

Each stream is an automated workflow, not a static dashboard. Every stream watches your data continuously and reports the discovery, ranked by revenue impact.

01
Campaign Performance

Every paid channel monitored against your defined revenue target: ROAS, CAC, LTV:CAC, payback period. Poor performers flagged inside 72 hours. Reallocation recommendations pushed to your marketing lead each week.

02
ICP Discovery

Every closed-won account clustered by firmographics, tech stack, buying committee, and behavioral fingerprint. New segments surface as your revenue mix shifts. Your team receives a monthly ICP refresh, not a stale annual persona.

03
Audience Overlap

Google Ads, Meta, LinkedIn, and organic audiences deduplicated at the account level. Kills wasted spend where three channels target the same buyer. Median dedup saves 30 to 45 percent of paid budget within one quarter.

04
Pipeline Motions

SQL to closed-won paths tracked end to end. The system tags which motion type (inbound, outbound, expansion, PLG) produces revenue in what time window, so your sales leadership can double down on what pays.

05
Content Signal

GSC queries, on-site engagement, and AI citation data fused into a single content-value score per URL. Weak URLs flagged for refresh. Winning URLs get recommendations for backlink acquisition and cluster expansion.

06
Revenue Attribution

Stripe or CRM closed-revenue tied back to first-touch, multi-touch, and last-touch across paid, organic, direct, and referral. Board-ready attribution model your CFO can defend.

Strategy + Implementation

We build the intelligence layer. Then we run it.

Analytics consultancies deliver a PDF and disappear. BI vendors sell you seats and pass the config work to your team. MV3 does both: we design the intelligence architecture, install it in 30 days, and operate it as an ongoing discovery engine for your marketing and sales leadership.

Strategy: The Architecture

Where discovery pays back, and what to instrument first.

Our team maps your revenue model to the six intelligence streams and prioritizes install order by expected revenue impact per stream. Delivered inside the first two weeks of the engagement.

  • 1Data audit across GA4, GSC, HubSpot, Stripe, ad platforms, and CRM.
  • 2Revenue model teardown to identify where discovery would move the number.
  • 3Six-stream install roadmap, sequenced by cost-to-install versus revenue impact.
  • 4Governance and access model, so findings reach the right role at the right cadence.
  • 5Delivered as read-only Notion doc plus 60-minute review with your executive team.
Implementation: The Install

MV3 installs, operates, and iterates the intelligence layer monthly.

Every stream mapped in strategy becomes a live automated workflow inside 30 days. Our team then runs the discovery cycle weekly, packages findings for your leadership, and iterates the architecture as your revenue mix shifts.

  • 1Server-side tracking + GA4 rebuild + attribution model deployed to your stack.
  • 2Custom dashboards built in Looker or your native BI, tuned per stakeholder role.
  • 3Six discovery workflows wired to run continuously and flag anomalies inside 72 hours.
  • 4Weekly discovery digest to marketing lead, monthly executive report to leadership.
  • 5Team access: dedicated Slack channel, async standup, quarterly architecture review.
Book my intelligence review →

Bundling with paid media or SEO retainer? Request a custom proposal →

Our Guarantees

Three ways we make the retainer risk-reversed.

Every AI Intelligence & Analytics engagement ships with three written guarantees.

30-Day Install SLA

From kickoff, your full intelligence layer is installed and reporting inside 30 business days. If we miss the SLA, your next month is free.

Discovery Guarantee

Every 30 days, the layer surfaces at least five actionable discoveries tied to revenue impact. If a month passes without five, that month refunds.

You Own the Stack

Every workflow, dashboard, model, and integration lives in your accounts. If you leave, you keep everything. No vendor lock-in, no rebuild penalty.

Sample Deliverables

Six dashboards. Every revenue signal tracked.

Not a checklist. Live dashboards tuned to your revenue model, refreshed hourly, and read by your executive team.

Dashboard 01

Campaign performance matrix

Every active paid campaign tracked against target ROAS, CAC, LTV:CAC ratio, and payback period. Color-coded cells flag which campaigns are subsidizing the winners. Your CMO reads this in 90 seconds each Monday.

  • ROAS by channel, campaign, and audience segment
  • CAC + LTV:CAC ratio per campaign, refreshed hourly
  • Payback period estimate on cohort revenue
  • Wasted-spend flag when 3-week trend breaks target
  • Reallocation recommendation weighted by revenue impact
Campaign Performance / Q3
Channel × Campaign: ROAS vs Target
CampaignSpendRevROASFlag
G-Ads / Brand $8.4k $74.2k 8.8x PASS
G-Ads / ICP-Prio $22.1k $91.6k 4.1x PASS
Meta / Retarget $14.7k $18.2k 1.2x WARN
LinkedIn / ABM $31.5k $142k 4.5x PASS
G-Ads / Broad $18.9k $11.4k 0.6x KILL
Meta / TOF Video $9.2k $4.8k 0.5x KILL
Recommendation: kill $28.1k/mo on Broad + TOF Video. Reallocate to LinkedIn ABM.
Dashboard 02

ICP discovery cohort

Every closed-won account clustered by firmographic and behavioral fingerprint. New segments surface as your revenue mix evolves.

Mid-market fintech (100-500 emp)
34%
DevTools PLG, Series A-B
28%
Enterprise HR Tech
19%
Vertical SaaS, ARR $5M+
11%
Long tail (drop from ICP)
8%
% of closed-won revenue, trailing 6 months
Dashboard 03

Audience overlap map

Where paid channels stack on the same buyer. Overlap = wasted spend. This view kills it.

Google Ads only 42%
LinkedIn Ads only 18%
Meta Ads only 12%
GA + LI (dup) 14%
GA + Meta (dup) 8%
All 3 channels (waste) 6%
28% overlap identified. Est. reclaimable: $18.4k/mo.
Pipeline Motion Heatmap: Motion × Segment
Inbound demo
Outbound SDR
Product-led signup
Partner referral
Expansion motion
MM Fin DevTools HR Tech Vert SaaS LT
Darker green = higher SQL-to-closed conversion in that motion + segment cell.
Dashboard 04

Pipeline motion heatmap

Every SQL to closed-won path tagged by motion type and segment. Green cells are your money-makers. Red cells are motions you should stop running against that segment.

Why this matters:

Sales teams default to one motion for every segment. The heatmap identifies which motion pays back in which segment, so your VP Sales can reassign reps by fit, not by history.

Dashboard 05

Revenue attribution model

Every closed-won dollar tied back to first-touch, multi-touch, and last-touch across paid, organic, direct, referral, and partner. Board-ready model your CFO can defend.

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First-touch Organic search (32%), Paid (28%), Direct (18%), Partner (12%), Referral (10%)
Multi-touch Weighted across avg 4.3 touchpoints per closed-won account
Last-touch Demo booked (44%), Sales-led (31%), PLG signup (16%), Partner intro (9%)
Time-to-close Median 47 days from first-touch, trailing 6 months
LTV cohort Y1 avg $22.4k, Y2 net $34.1k, gross retention 94%
Methodology

How we install the intelligence layer, every time.

Five stages. Same protocol every install. Reproducible across accounts so your team knows exactly what happens each week.

01
Data Audit

Full inventory across GA4, GSC, HubSpot, Stripe, CRM, ad platforms. Every source graded on cleanliness and completeness.

02
Architecture

Six-stream install plan sequenced by revenue impact. Server-side tracking, attribution model, and warehouse choices locked.

03
Install

Server-side tags, GA4 rebuild, warehouse tables, and workflows deployed to your accounts. Weekly install standup with your team.

04
Discovery Run

First two weeks of automated discovery cycles. Findings ranked by revenue impact and packaged for your marketing lead.

05
Operate

Ongoing weekly digest, monthly executive report, quarterly architecture review. Iteration cadence set to your revenue rhythm.

Composite Outcomes

What clients say 90 days after install.

Outcomes reported after the intelligence layer has been live for one quarter. Company identities are protected under NDA. Personas are composite illustrations of role, stage, and category.

“

We killed $28k/month in wasted ad spend inside 60 days. The audience overlap dashboard identified three channels stacking on the same 400 accounts. Two of them got shut off. ROAS on the third doubled.

Priya S.
VP Marketing at a Series C fintech
“

Our CFO used to run attribution in a spreadsheet. Now we have a defensible model our board asks about every quarter. The revenue attribution dashboard alone justified the retainer.

Marcus D.
CMO at an enterprise HR Tech platform
“

The pipeline motion heatmap reassigned five reps to fit-appropriate segments. Our SQL-to-closed rate climbed from 18% to 27% in one quarter. Our VP Sales calls it the most useful chart he has ever seen.

Sofia K.
Head of Revenue Ops at a mid-market SaaS

Company names withheld under NDA. Metrics verified against client-supplied GA4 and Stripe exports. Personas are composite illustrations, not client likenesses.

Recent Work

Anonymized wins from recent installs.

Six recent AI Intelligence installs, sanitized of brand identifiers. Full un-redacted case studies are available under NDA on request.

Fintech · Series C
Killed $340K/year in wasted paid spend after audience overlap dedup.
-$340K
Annualized paid waste eliminated
Growth AI + Analytics→
 HR Tech · Enterprise
Board-ready multi-touch attribution model shipped in 30 days.
30d
Kickoff to CFO-ready attribution
Growth AI→
 DevTools · PLG
ICP cohort layer surfaced 3 new revenue-paying segments in Q1.
+3
New paying segments identified
Growth AI + Analytics→
 Vertical SaaS · Mid-Market
Pipeline motion heatmap lifted SQL to closed-won from 18% to 27%.
+9pt
SQL-to-closed conversion
Growth AI→
 Cybersec · Series B
Content signal layer identified 12 URLs producing 60% of pipeline.
60%
Pipeline share from 12 URLs
Analytics + SEO→
 MarTech · Series D
GA4 rebuild + server-side tracking closed 32% attribution gap.
-32pt
Closed attribution gap in GA4
Analytics→

Metrics tracked in client GA4 + Stripe + CRM. Individual outcomes vary by data cleanliness, revenue scale, and stack maturity.

What Analytics Audits Typically Find

The gap between dashboards and decisions is bigger than you think.

Findings pulled from MV3’s aggregate intelligence audits across B2B SaaS accounts, trailing 12 months.

82%

of B2B accounts audited had broken or incomplete GA4 conversion tracking at start

28%

median wasted paid spend on audiences that overlap across two or more channels

3 of 6

intelligence streams typically missing entirely before install

<72h

from anomaly detection to flagged discovery for your marketing lead

Individual results vary by stack maturity, revenue scale, and existing data hygiene.

Growth AI · Intelligence Layer Retainer
$5,997/mo

3-month minimum. 30 days written notice to cancel.

  • All six intelligence streams installed and running
  • GA4 rebuild + server-side tracking + attribution model
  • 6 custom executive dashboards, tuned per role
  • Weekly discovery digest to marketing lead
  • Monthly executive report to leadership
  • Dedicated Slack channel + async standup
First Quarter Retail Value
GA4 + Server-Side Tracking Rebuild$5,997
Cross-Channel Attribution Model$3,800
ICP Discovery Cohort Layer$3,200
Audience Overlap Dedup$2,400
Pipeline Motion Analysis$3,600
Content Signal + Revenue Attribution$5,700
6 Custom Dashboards + Weekly Digest$3,600
Retail if purchased individually$26,800
Your Growth AI Q1 total$17,991
Book my intelligence review →

Bundling with paid media or SEO? Ask about Scale AI at $9,997/mo for all three lines together.

Qualification

This is not for you if…

We hold a hard fit bar on intelligence engagements. If any of the below is true, we’re not the right vendor, and we’ll say so on the intro call.

  • You want a static dashboard vendor. If your team just needs prettier Looker tiles once a quarter, hire a BI freelancer. Our retainer is an operating system, not a design service.
  • You are pre-revenue. The intelligence layer discovers patterns in your closed-revenue and paid spend. If you have less than $1M ARR or under $30K/month paid spend, the layer will not surface enough signal.
  • You want to hand this to your intern. Every discovery cycle produces recommendations your marketing and sales leadership must act on. If no executive owns the findings, the retainer is a waste.
  • You block access to your data. We need read access to GA4, GSC, CRM, Stripe, and ad platforms. If any of those are gated by legal for the first 30 days, our install SLA does not apply.
  • You want week-to-week campaign management. That is a paid media retainer, not this one. If you need hands on ad campaigns daily, look at our AI Advertising service instead.

If you’re a fit, keep scrolling. Or book the review now →

Frequently Asked

Questions buyers ask us.

What is AI Intelligence & Analytics at MV3?
It is an installed intelligence layer that runs six automated discovery workflows on your revenue data: campaigns, ICP, audience overlap, pipeline motions, content signal, and revenue attribution. Our team installs it in 30 days and operates it weekly for your marketing and sales leadership.
How is this different from hiring a BI vendor or a Looker consultant?
BI vendors sell dashboards. We install an operating layer. Our team runs the discovery cycle for you every week and packages findings as decisions your CMO and VP Sales can act on. You keep every workflow, dashboard, and model in your own accounts.
What stack do you support?
GA4, Google Search Console, HubSpot, Salesforce, Stripe, Chargebee, Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Segment, PostHog, BigQuery, Snowflake, and Looker. If your stack includes something else, our team validates fit on the intro call.
How long is the install?
30 business days from kickoff to the intelligence layer running weekly discovery cycles. If we miss the SLA, your next month is free.
Do we own the workflows and dashboards?
Yes. Every workflow, dashboard, attribution model, and warehouse table lives in your own accounts. If you leave, you keep everything. No vendor lock-in.
What is the minimum commitment?
3 months. After month 3, month-to-month with 30 days written notice to cancel. Most clients stay past month 12 once the discovery cycle becomes part of their operating rhythm.
Can we bundle this with paid media or SEO?
Yes. Scale AI at $9,997/month bundles AI Intelligence & Analytics with AI Advertising and AI SEO into one retainer with one dedicated pod.
Who runs the engagement day to day?
Our advertising and analytics lead, backed by our team of SEO professionals, engineers, and auditors. Every deliverable is reviewed by our leadership before it reaches your team.
Engagement Lead
Blagovest Iordanov · Advertising & Analytics Lead, MV3 Marketing

Google & Meta certified. Manages $15M+ in annual ad spend across B2B accounts. Expert in server-side tracking, GA4 attribution, and performance reporting. Every engagement is delivered by our team of engineers, analysts, and auditors under his review.

Q3 install slots: 4 remaining

Stop guessing what your data means. Install the intelligence layer.

The install runs in 30 days. Discovery cycles run weekly after that. The compounding value shows up in month 3 and never stops.

Book my intelligence review →