MediaMath Integration

MediaMath Data Integration — Programmatic Insights

Connect MediaMath and let AI agents query programmatic campaigns, DSP performance, and audience targeting data alongside all paid channels.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to MediaMath
What's the performance breakdown for our Q1 retargeting campaigns in MediaMath?
Your Q1 retargeting campaigns delivered $847,293 total spend across 12 active strategies. Top performer is "Retarget_Engaged_Users_Desktop" with 4.8x ROAS, 2.3M impressions, and 18,432 conversions. CTR averaged 1.87% across all strategies, with CPA at $38.60.
Pause the three strategies with ROAS below 2.5x and reallocate that budget to the top two performers
Paused 3 underperforming strategies ("Retarget_Browse_Mobile", "Retarget_Cart_Tablet", "Retarget_Search_Display"). Reallocated $94,200 monthly budget to top strategies. New daily caps set: $4,800 for Desktop and $3,100 for Video. Changes live in MediaMath.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
MediaMath Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect MediaMath integration in 3 clicks

Improvado connects directly to MediaMath's API to extract campaign performance, audience targeting, and spend data. Our connector pulls impressions, clicks, conversions, and cost metrics across all your programmatic campaigns. Data refreshes automatically every hour, ensuring your dashboards always reflect current performance. No manual exports or CSV uploads required.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the MediaMath API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor MediaMath through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Unified programmatic data across platforms

MediaMath data flows into Improvado's Marketing Common Data Model, standardizing metrics like CTR, CPC, and conversion rates. This normalization lets you compare programmatic performance against search, social, and display campaigns in one view. Cross-platform attribution becomes possible when MediaMath data sits alongside Google Ads, Facebook, and other channels. Build comprehensive media mix models with consistent data definitions.

MediaMath API v2.0 · OAuth 2.0 · 3-hourly sync · incremental
Schema Overview

Data objects and fields Improvado extracts from MediaMath

Object Fields
Campaign
spend impressions clicks conversions ctr total_ad_cost status
Strategy
spend impressions clicks ctr cpc type pacing
Concept
spend impressions clicks ctr creative_count status
Atomic Creative
spend impressions clicks ctr file_type
How it works

From connection to autonomous action in three steps

1

Connect

Authenticate your MediaMath account in seconds. Improvado automatically normalizes campaign data, spend, impressions, clicks, conversions, and ROAS across 1000+ marketing sources into a unified schema ready for AI.

2

Ask

Query MediaMath in plain English: ask about strategy performance, pixel conversions, supply source efficiency, bid adjustments, frequency caps, or creative rotation. The agent surfaces spend, CTR, CPA, viewability, and attribution data instantly.

3

Act

The agent pauses underperforming strategies, adjusts campaign budgets and bid modifiers, updates audience segments, changes frequency caps, and rotates creatives in MediaMath. Every write action is logged with timestamps, user attribution, and rollback capability for full governance.

Use Cases

What teams ask their AI agent about MediaMath

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Compare MediaMath programmatic performance against Google Display and Facebook campaigns

Your AI agent analyzes MediaMath data and delivers actionable insights — automatically, in seconds.

6 hrs → 20 min
A
Improvado Agent Cross-channel

Optimize programmatic spend allocation across DSPs using unified performance metrics

Your AI agent analyzes MediaMath data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Generate executive reports combining programmatic, search, and social performance data

Your AI agent analyzes MediaMath data and delivers actionable insights — automatically, in seconds.

4 hrs → 10 min
AI Agent Access

Your agent doesn't just read MediaMath — it optimizes programmatic spend allocation

Read

Pull campaign strategies, advertiser spend, impressions, clicks, conversions, ROAS, viewability rates, supply source performance, audience segment delivery, pixel data, creative performance, frequency metrics, and attribution windows from MediaMath in real time.

Write

Update strategy budgets and bid modifiers, pause or activate campaigns and line items, adjust frequency caps, modify audience targeting parameters, change creative assignments, set dayparting rules, and update conversion pixels directly in MediaMath.

Monitor

Monitor for campaigns exceeding CPA thresholds, strategies with declining ROAS, supply sources with low viewability, frequency cap breaches, daily budget pacing anomalies, conversion pixel failures, and bid multiplier inefficiencies with real-time alerts.

AI agents query impressions, clicks, conversions, and cost metrics across all programmatic campaigns. They compare MediaMath performance against Google Display and Facebook, optimize spend allocation across DSPs using unified metrics, and generate reports combining programmatic, search, and social data. Agents identify which programmatic tactics deliver the best ROI.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · MediaMath
You
Show top 5 strategies by conversion rate last 7 days
A
Top Strategies
Strategy Conv. Rate Conversions
Prospecting_Video_Premium 3.42% 1,847
Retarget_High_Intent_Display 3.18% 2,103
Prospecting_Native_Contextual 2.94% 891
Retarget_Engaged_Video 2.76% 1,562
Prospecting_Display_Lookalike 2.63% 1,228
5 strategies · 7,631 conversions · avg 2.99% conv. rate
You
Increase daily budget by 40% for strategies above 3% conversion rate
A
Budgets Updated
2 strategies scaled · +$3,680 daily spend
Destinations

Send MediaMath data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with MediaMath as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What MediaMath metrics can Improvado extract?
Improvado extracts impressions, clicks, conversions, spend, CTR, CPC, CPM, and viewability metrics from MediaMath. We also pull audience segment performance, creative performance, and supply path optimization data. All metrics are available at campaign, line item, and creative levels.
How often does MediaMath data refresh in Improvado?
MediaMath data refreshes every hour by default through Improvado's automated sync. You can adjust refresh frequency based on your reporting needs. Historical data is available for up to 2 years depending on your MediaMath account settings.
Can I connect multiple MediaMath accounts to Improvado?
Yes, Improvado supports multiple MediaMath account connections within a single workspace. This is useful for agencies managing multiple clients or companies with separate regional accounts. Each account's data remains isolated unless you choose to combine it.
Does Improvado support MediaMath audience data?
Improvado extracts audience performance metrics including segment reach, engagement rates, and conversion data from MediaMath. We pull first-party, third-party, and lookalike audience performance. Audience overlap analysis is available when combined with other platform data.
What destinations work with MediaMath data from Improvado?
MediaMath data flows to BigQuery, Snowflake, Redshift, Azure Synapse, Tableau, Power BI, and Looker through Improvado. Data arrives in your chosen destination within minutes of extraction. All destinations receive the same normalized data structure for consistent reporting.
How does Improvado handle MediaMath API rate limits?
Improvado manages MediaMath API rate limits automatically through intelligent request throttling and retry logic. Our system optimizes data extraction timing to avoid hitting limits while maintaining data freshness. You'll never need to worry about API quota management or failed syncs due to rate limiting.