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Your marketing
agentic OS

The reporting layer for marketing teams that have outgrown their spreadsheets, their dashboards, and their patience.

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  • One MCP
  • One memory
  • 1,000+ sources
Marketing OS / Agent
Which Q3 campaigns wasted budget?
Thought for 38s
  1. Read Q3 spend from Google Ads, LinkedIn Ads and Meta Ads
  2. Joined HubSpot deals at stage 2+ with W-shaped attribution
  3. Ranked 8 campaigns by pipeline per dollar
  4. Checked headroom and drafted the move for approval
$61Kspent on Meta lookalikes for $38K of pipeline
Meta lookalikes0.6×Pause
Competitor search4.5×Add $30K
ABM retargeting8.4×Saturated
Move $30K over 6 weeks: +$40–80K expected net gain
Where should Q4 budget go?
4.6×▲ 0.3×
Pipeline per $ · Q3 vs Q2
Pipeline per $, by channel · Q3
6.5×
4.0×
1.5×
Recommended move
→ Move $30K from Meta lookalikes to competitor search +$40–80Kexpected net gain
Experiments · 3 running · 2 concluded
+ New test
Meta lookalike holdout
Concluded Sep 30·6 weeks
No liftpipeline vs holdout
Demo request rate: 4 fields vs 7
Day 11 of 213,420 visitors
+0.9ptnot significant yet
LinkedIn lead form: 3 questions vs 5
Concluded·kept 5 questions
−8%SQL rate with 3
Brand search: bids −15%
Day 9 of 141,960 clicks
−3%brand clicks
Competitor search: comparison page
Day 4 of 281,180 visitors
–too early
Governance · 37 of 41 rules passing
Auto-block on
Naming: “Nov webinar promo”
Rename to LI_WEBINAR_NOV_US
Launch held
Brand safety: 12 placements
LinkedIn Audience Network block list
Excluded
Approval: $30K budget move
Meta lookalikes → competitor search
1 waiting
Write blocked: Google Ads bid cap
The watcher is read-only, so it drafted it
Blocked
Agent activity · 46 queries todayLive
09:12Priya via Claude Q4 pipeline gapread
08:00Codex October pacingread
06:00Anomaly watcher Google bid capblocked
Workspace · marketing
Approval for changes
Any budget or bid change an agent drafts
Query log
Every agent query, kept 400 days
Slack alerts
#marketing-ops · anomalies and approvals
12 connected · 1,000+ in the catalog
Schema-mapped
Data pipelines
ETLELTReverseSync
12 live pipelines · unified into one model

Paid search Channel

Google Ads search · 3 campaigns

Metrics · Q3 2026

  • Pipeline per $6.5×
  • Spend$190K
  • SQLs64

Definitions & docs

  • SQLHubSpot stage
  • AttributionW-shaped
  • Naming conventionGADS_*

Every agent reads this page

Connected sources
+8
Trusted by marketing teams at All customer stories →
ASUSRead the ASUS story
Activision
illycaffeRead the illycaffe story
AdRollRead the AdRoll story
SoftwareOneRead the SoftwareOne story
University of San FranciscoRead the University of San Francisco story
AdCellerantRead the AdCellerant story
Booyah AdvertisingRead the Booyah Advertising story
EicoffRead the Eicoff story
CV (Christian Vision)Read the CV (Christian Vision) story
Yodel MobileRead the Yodel Mobile story
Chacka MarketingRead the Chacka Marketing story

Product tourAgentic data platform + secure MCP, in action

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Show me what Improvado does for…

Role
Industry
Trend the data-quality score.
Agentsearching ❄ G ► ···
Data quality score
94/100
+4 pts

Dedup ruleset upgrade pushed quality from 90 → 94.

Show me POS sync status.
Agentsearching ❄ G ► ···
POS sync · 4 stores
428/432
99.1%
Synced
428
Stale
4
P95 lag
32s
Coverage
99.1%

4 stale stores flagged, investigating routing.

Which stores are out of stock?
Agentsearching ❄ G ► ···
Out-of-stock SKUs
37
9 vs last wk
Store 142 · Austin12
Store 088 · Denver9
Store 203 · Miami6
Online · NE DC5

Reorder drafted for 37 SKUs across 4 locations.

Compare ROAS by channel.
Agentsearching ❄ G ► ···
Blended ROAS
3.8×
0.6×
4.6×Search
3.1×Social
2.4×Email
1.7×Affiliate

Paid search returned $4.20 per $1 spent.

Ask anything. Watch it get visualized

Are we going to make the Fall class?
Thought for 1.8s · 12 sources
Live read · Reading your Education signals as one connected story. Here's what matters.

Pulled 12 sources for CMOs / VPs Marketing in Education. Top signal: Projected Fall 2026 Landing 3,180–3,310. Also tracking fresh signals 46K. Built live on the right, no SQL, no tab-hopping.

Projected Fall 2026 LandingDeposit velocity
3,180–3,310
Target 3,400 · 56%gap 90–220 · 44%
Shortfall lands on this week's budget shift, not the deadline burst.
Fall 2026 Class ScorecardNet confirmed
Net enrolled (post-melt)2,640▲ 78% of target
Deposits collected2,980▲ +270 this wk
Summer melt rate11.4%▲ +1.6pt
Gap to 3,400 target760▲ 5 wks to census
Mktg cost / net tuition6.8%▼ −0.5pt
Pacing vs Prior CycleCumulative deposits / wk
Margin Headroom / StudentBreak-even minus CPE
1MSN Nursing+$3,360
2Online MBA+$2,340
3BSN Undergrad+$1,690
4MEd Teaching+$470
5Online Certificate−$260

It doesn't stop at the dashboard

One prompt pulls every connected source, makes it analysis-ready, builds the live board, then pushes the next move back into your platforms.

Run it yourself
Track CAC and payback period by channel
CAC Payback
3 mo −7% vs prior
CAC clears breakeven by month 3, 7% ahead of plan.
Payback by month
LTV:CAC
4.8x
Gross margin
61%
New customers
17.2K
Repeat rate
40%
Monthly churn
2.7%
Build this board on your data
How it works

From a thousand tabs
to one command center

Marketing data lives in 1000+ scattered platforms. Improvado pulls it in, maps it to one shared model, and serves it back as dashboards and AI answers. Instantly.

01 Connect

Plug into every marketing source you run

Pre-built connectors across paid, organic, CRM, analytics, retail media, and ecommerce.

1,000+
platforms connected
02 Unify

Map every channel to one shared model

Channels, campaigns, and metrics in a single structure, no SQL, no spreadsheet glue.

46K+
metrics unified
03 Decide

Act with confidence, in seconds

Prompt the agent to shift budget, audit creative, run attribution, or chase a pacing drop.

Seconds
to live dashboards

Pulls from 1,000+ platforms and counting

Enterprise-grade security

Built for non-negotiable enterprise compliance requirements

Why it matters
Security compliance is where most AI marketing deployments slow down. It's where we differentiate.
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SOC 2 Type II
HIPAA
Role-based access
Per user & workspace
Full audit trail
Every query logged
SSO & SAML
Enterprise identity
GDPR & CCPA
EU data residency
Customer story
Improvado powers our data views every single day. It's a pulse check on business performance that enables our clients to make smarter, strategic decisions on budgeting, sales forecasting, and assess marketing's impact on their businesses.
Bill Urciuoli
Bill Urciuoli
SVP, Innovation · Eicoff
Read the full story
$500K/yr
Savings in staff costs
15×
Faster client onboarding
<1 wk
Time to value
See it on your own data

Let's talk about your measurement problem

Bring your own data, we'll show your pipeline, attribution, and the agent, live, in twenty minutes.

Book a working session
A solutions engineer maps your stack and shows your own pipeline, no slideware.
Thanks! Routing you to the right person now…
20-minute demo On your own data Live in two weeks
For engineers & AI agentsThe connection, the scopes, and the exact call behind this panel
  • Instantly query any warehouse table via natural language
  • Auto-generate governed SQL with lineage
  • Drop agent tools into Claude / Cursor / Codex
  • Full MCP + OpenAPI surface out of the box
  • Zero-copy access to every marketing source
# one connection, declared once
mcp.connect("improvado")

# read-only, role-scoped by default
improvado.query(
  metric="roas",
  channels=["google_ads","meta_ads"],
  window="q3", group_by="campaign",
)
# scope: read:spend · auth: oauth
Get your demo
A solutions engineer builds it live on your own accounts. No slideware.
Thanks! Routing you to the right person now…
20 minutes, end to endOn your own dataBring your hardest question
1,000+
Connectors
90 hrs
Saved per week
80%
Less overspend
75%
Faster launches