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

Get started today.

The future of marketing analytics is here. Cross-channel attribution, incrementality testing, budget optimization — directly in your AI.