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?

Q3 paid campaigns · pipeline per dollar

Q3 spend

$412K

Pipeline

$1.90M

Expected net gain

+$40–80K

pause META_PROSP_LAL1-5_US 0.6×

Move $30K over 6 weeks ↓

add GADS_NONBRAND_COMPETITOR 4.5×

▸

Pause the lookalikes; move $30K to competitor search. Retargeting returns more (8.4×) but is saturated.

Assumes 2.0–3.3× on the new search spend · Google Ads, LinkedIn Ads, Meta Ads, HubSpot · W-shaped attribution · Illustrative data

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 +$40–80K

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 · pre-flight checks · last 24h

Auto-block on

Conversion tracking: 3 ad accounts

Google, LinkedIn and Meta tags firing · checked 06:00

Approval needed: $30K budget move

Meta lookalikes → competitor search · drafted by the agent

1 waiting

Write blocked: Google Ads bid change

The anomaly watcher has a read-only role, so it drafted the change

Blocked

Recent activity · 38 queries todayLive

09:12Priya via Clauderead

08:00Codex pacing checkread

07:41Anomaly watcherblocked

Compliance

SOC 2 Type IIHIPAA BAAGDPR

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

1,000+

Data pipelines

ETLELTReverseSync

3 live pipelines · unified into one model

41 shared definitions

Every agent answers with your metrics, targets and history.

Definitions used in every answer

SQL: HubSpot stage

Pipeline: stage 2+

Attribution: W-shaped

Q4 target: $2.40M

Fiscal year: Jan–Dec

Partner deals excluded

Currency: USD

Sourced pipeline per $ of spend

Q4Q4 2025$1.58M3.9×

Q1Q1 2026$1.62M4.1×

Q2Q2 2026$1.74M4.3×

Q3Q3 2026$1.90M4.6×

12Sources

2 yrsHistory

4Agents

Connected sources

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

P95 lag

32s

Coverage

99.1%

4 stale stores flagged, investigating routing.

Which stores are out of stock?

Agentsearching ❄ G ► ···

Out-of-stock SKUs

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

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.

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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

Your marketing
agentic OS

Product tourAgentic data platform + secure MCP, in action

Show me what Improvado does for…

Ask anything. Watch it get visualized

It doesn't stop at the dashboard