The marketing measurement enginefor teams|

Any question about your ads. Any report. Any recommendation.

From your AI — not next week's meeting.

+Reply...Opus 4.6
Meta Performance
Mar 1 – Mar 16, 2026
MetricThis MonthLast MonthChange
Cost$32,400$29,100+11%
Revenue$98,200$112,500-12.7%
ROAS3.03x3.87x-21.7%
CPA$48.20$39.10+23.3%
Conversions672744-9.7%
Total Cost
$32.4K
Total Revenue
$98.2K
Blended ROAS
3.03x
+Reply...Opus 4.6

Trusted by marketing teams at

RibbleSytneriPostal1EmbraceSimpliSafeSynthesiaRayloEnecoDerTour GroupFlorsheimBogsStacy AdamsNunn Bush

Your AI tools. Our measurement brain.

Which channels actually work, where to move budget, what to test next — your AI answers it all. One config line to connect.

Connect ad accounts and BigQuery
Step 1

Connect your ad accounts & BigQuery

Google, Meta, TikTok, LinkedIn, and 26 more. Your data stays in your warehouse.

Add MCP to your AI tool
Step 2

Add SegmentStream MCP to your AI tool

One config line in Claude Code, Claude Cowork, Cursor, or any MCP client.

Start working
Step 3

Start working

Analysis, optimization, measurement — all through conversation with your AI.

Ad Platforms
Google Ads
Meta Ads
TikTok Ads
LinkedIn Ads
Microsoft Ads
X Ads
Pinterest
Snapchat
+22 more platforms
Data Sources
GA4
BigQuery
HubSpot
Salesforce
Heap
+more
SegmentStream
Marketing Measurement Engine
MCP
Cross-Channel Attribution
Budget Allocation
Incrementality Testing
+10 more capabilities
Web Dashboard
AI Workspace
Claude
Cursor
ChatGPT
Gemini
Any MCP Client

Ask anything. Get analyst-grade answers.

Attribution reports, budget plans, root cause investigations — these are just the starting point. Your AI builds any analysis from SegmentStream’s measurement tools and shares it in one link.

Campaign Performance Report

Cross-channel performance with attribution-adjusted ROAS, anomaly flags, and week-over-week trends.

Campaign Performance Report
Feb 1 – Mar 2, 2026All Channels
ChannelRevenueROASWoW
Paid Search Brand
$382K4.2x+12%
Paid Search NB
$264K2.8x+5%
Paid Social
$148K3.1x-8%
TikTok
$98K1.9x+2%
Organic Search
$186K+14%
Email
$92K+3%
Direct
$74K-2%
Affiliates
$48K2.1x+18%
Total Cost
$234K
Total Revenue
$1.29M
Blended ROAS
3.81x
Generated via SegmentStream MCP

Root Cause Analysis

Automated investigation of metric anomalies — root cause identification with actionable recommendations.

Root Cause Analysis
Automated investigation — anomaly detected
Alert
Issue Detected
PMax CPA +34% week-over-week
CPA moved from $28.40 to $38.06 — outside 2σ tolerance band
Root Cause
Organic search positions improving for branded queries, cannibalizing PMax branded traffic. SEO visibility score +18% over 14 days.
Impact
Net Positive
Total conversions stable — organic replacing paid branded traffic at zero marginal cost.
Action
Reduce PMax branded budget by $3K/mo. Reallocate to non-branded search where mROAS is 4.2x.
Generated via SegmentStream MCP

Budget Reallocation Plan

Current vs proposed allocation with marginal ROAS analysis, projected revenue impact, and channel-level reasoning.

Budget Reallocation Plan
Total: $107K/mo — zero net change
CampaignCurrentProposedChange
$45K$53K+$8K
$32K$27K-$5K
$18K$23K+$5K
$12K$9K-$3K
Projected Impact
+$50K/mo revenue
Avg mROAS
2.8x
Generated via SegmentStream MCP

Month-over-Month Analysis

Automated period comparison with trend charts, statistical significance flags, and channel-level drill-down.

Month-over-Month Analysis
Feb vs Jan 2026
This monthLast month
200K300K400KW1W2W3W4
Revenue
$1.29M+12%
CPA
$34.20-8%
ROAS
3.81x+15%
Conversions
4,218+6%
Generated via SegmentStream MCP

Build your own

Use built-in skills or create your own. Build custom reports, dashboards, and visualizations — then share them with your team or clients in one link.

+Reply...Opus 4.6
Cross-Channel Dashboard
ROAS
3.1x
12% WoW
Spend
$92K
5 channels
Revenue
$259K
trending up
Weekly Trend
Revenue Spend
$250K$125KW1W2W3W4W5W6
ROAS by Channel
Google Shopping
4.2x
Meta Prospecting
2.8x
Google Search
2.4x
LinkedIn Ads
1.8x
TikTok Ads
1.1x
+Reply...Opus 4.6

Your data. Your infrastructure.

The only stack you need for the most sophisticated modern marketing measurement and optimization, fully customizable for your team.

LAYER 1

Data Warehouse

All marketing data stays in your BigQuery warehouse. Full ownership, full SQL access.

LAYER 2
Measurement Engine MCPIdentity GraphAttributionIncrementalityBudget AllocationLead Scoring+7 more capabilitiesconnected12 tools

MCP Server

Marketing attribution, budget optimization, and incrementality testing — exposed as MCP tools.

LAYER 3
Claude CoworkAnalyze Meta performance run_report, run_report_timeseriesMeta declining. CPA up 23%creative fatigue, primary adrunning 47 days.</>Meta PerformanceReply...Opus 4.6

Agent Teams

Your AI agents call measurement tools directly. Claude Code, Claude Cowork, Cursor, or any MCP-compatible client.

Built-in measurement expertise.

Each skill encodes domain knowledge from hundreds of client engagements. Your AI reasons about marketing measurement the way a senior specialist would.

Analysis

Analysis

  • Performance review
  • Baseline demand analysis
  • Anomaly detection
Optimization

Optimization

  • Budget allocation
  • Bid strategy evaluation
  • Marginal ROAS analysis
Setup and Configuration

Setup

  • Project setup
  • Conversion tracking
  • Data source configuration
Debugging

Debugging

  • Unattributed investigation
  • SDK pipeline diagnosis
  • Data quality audit

Built on a production measurement engine

Powered by the same measurement engine that manages $100M+ in annual ad spend for enterprise teams. ML attribution models, incrementality testing, and budget optimization — built over years, now accessible through Claude Code, Claude Cowork, Cursor, and any MCP-compatible tool.

$100M+

ad spend managed

30+

ad platform integrations

13

measurement engine capabilities

Apply for research preview.

If your team already uses AI to get work done, this is the marketing measurement and optimization infrastructure you’ve been missing.