Moat Integration

Moat Data Integration | Brand Safety & Viewability

Connect Moat and let AI agents query viewability rates, fraud detection, and brand safety scores alongside campaign performance metrics.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Moat
Show me our brand safety violations across all campaigns this month.
Found 127 violations across 18 campaigns. Top issue: 42 placements on non-brand-safe inventory, mostly programmatic display. $8,400 wasted spend flagged.
Pause all placements with brand safety scores below 60 and reallocate that budget to verified inventory.
Paused 23 placements across 6 campaigns. $12,300 daily budget reallocated to brand-safe inventory pools. Estimated brand risk reduction: 78%.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Moat Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Automate Moat data extraction and loading

Improvado connects to Moat's reporting APIs to extract viewability, fraud detection, and brand safety metrics from your advertising campaigns. The integration automatically pulls fresh verification data on your chosen schedule without manual report downloads. Historical viewability data is available for complete campaign analysis. Moat metrics flow into your warehouse with proper data validation and error handling.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Moat 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 Moat 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 ad quality data across all platforms

Improvado normalizes Moat data using our Marketing Common Data Model, creating consistent viewability and verification metrics across all advertising platforms. Brand safety scores, viewability rates, and fraud detection data align with campaign performance from Google Ads, Facebook, and programmatic platforms. This standardization enables quality-adjusted performance analysis across your entire media mix. Compare true viewable impressions and clean traffic across all channels.

Moat Analytics API v3 · API key · daily sync · full refresh
Schema Overview

Data objects and fields Improvado extracts from Moat

Object Fields
Campaign
impressions measurable_impressions viewable_impressions viewability_rate in_view_time
Creative
impressions viewable_rate human_rate audible_and_fully_on_screen brand_safety_score
Placement
impressions measurable_rate viewable_impressions attention_quality invalid_traffic_rate
Publisher
impressions viewability_rate human_impressions brand_risk_incidents active_in_view_time
How it works

From connection to autonomous action in three steps

1

Connect

Connect your Moat Analytics account via API credentials. Agent authenticates with your advertiser ID and pulls viewability, attention, and brand safety metrics across all active campaigns and placements.

2

Ask

Ask questions like 'Which publishers have the worst attention scores?' or 'Show me all placements flagged for brand safety violations in the last 7 days' or 'What percentage of our video ads are playing in-view?'

3

Act

Agent blocks non-compliant placements, pauses creatives with poor viewability, reallocates budget away from low-attention inventory, and flags brand safety violations for immediate review across your media buying platforms.

Use Cases

What teams ask their AI agent about Moat

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

Analyze viewability rates alongside campaign performance across all advertising platforms

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

3 hrs → 10 min
A
Improvado Agent Cross-channel

Optimize media spend by identifying high-quality inventory using Moat verification data

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

Manual → auto
A
Improvado Agent Reporting

Create brand safety reports combining Moat scores with campaign reach and frequency

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

4 hrs → 5 min
AI Agent Access

Your agent doesn't just read Moat — it optimizes for quality inventory

Read

Agent reads viewability rates, attention metrics, brand safety scores, invalid traffic detection, ad fraud signals, placement-level performance data, creative rendering quality, and audience verification metrics across display, video, and native inventory.

Write

Agent blocks placements below viewability thresholds, pauses campaigns with brand safety violations, reallocates budget from low-attention inventory, flags suspicious traffic patterns, and updates blocklists based on fraud detection signals.

Monitor

Agent monitors real-time viewability drops, brand safety score changes, invalid traffic spikes, attention metric degradation, placement quality shifts, and fraud pattern emergence across all active media campaigns.

The AI agent queries Moat viewability percentages, fraud scores, and brand safety metrics, then correlates them with campaign performance and CPM data across all platforms. It can identify high-quality inventory sources, calculate the cost of low viewability, and answer "which publishers deliver both high viewability and low cost per completed view?"

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Moat
You
Which ad creatives have the highest viewability issues?
A
Viewability Analysis
Creative Impressions Viewability
Summer_Sale_Banner_300x250 2.4M 34%
Product_Carousel_728x90 1.8M 41%
Hero_Video_Pre_Roll_15s 890K 52%
Mobile_Native_Feed_Ad 3.1M 58%
Desktop_Sidebar_160x600 1.2M 29%
5 creatives · 9.4M impressions · avg 42.8% viewability
You
Block all placements with viewability under 45% and flag for creative refresh.
A
Blocked Low-Viewability Inventory
4.4M impressions · 35% avg viewability
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 Moat 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 Moat metrics does Improvado extract?
Improvado extracts key Moat metrics including viewability rates, in-view time, brand safety scores, and fraud detection indicators. We also pull campaign-level data, creative performance metrics, and geographic viewability breakdowns. Custom measurement parameters and industry-specific metrics are supported through our flexible extraction.
Can I combine Moat data with my campaign performance metrics?
Yes, Improvado's data model enables joining Moat verification data with campaign performance from ad platforms. You can analyze viewable CPMs, quality-adjusted conversion rates, and brand-safe reach alongside standard performance metrics. This creates comprehensive media quality analysis across all your advertising channels.
How does Improvado handle Moat data for different campaign types?
Our connector extracts Moat data for display, video, mobile, and social campaigns with appropriate metric categorization. Each campaign type's specific viewability standards and measurement parameters are preserved in your warehouse. This enables accurate cross-format comparison and optimization.
What's the data refresh frequency for Moat metrics?
Moat data typically refreshes daily as verification metrics require processing time for accuracy. You can configure refresh schedules from daily to weekly depending on your reporting needs. Historical data backfill captures your complete verification history for trend analysis.
Does the integration work with Moat's custom measurement solutions?
Improvado supports Moat's standard measurement products and can accommodate many custom verification setups. If you use specialized brand safety categories or custom viewability thresholds, our team can configure the extraction accordingly. Enterprise clients receive custom metric integration support.
How does Improvado ensure Moat data accuracy in my warehouse?
Our connector includes data validation checks that verify metric completeness and consistency with Moat's reporting interface. We monitor for any discrepancies and provide automated alerts for data quality issues. Our support team investigates any accuracy concerns within 24 hours of detection.