Roku (ex. DataXu) Integration

Roku (DataXu) Integration for CTV Analytics

Connect Roku (DataXu) and let AI agents query programmatic campaign data, bid performance, and CTV metrics alongside social and search.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Roku (ex. DataXu)
Show me top-performing Roku campaigns this quarter and flag any underperforming placements.
Your 5 active campaigns drove 18.2M impressions across CTV inventory. Top performer: 'Spring Launch - Smart TV' at $4.20 CPM with 92% completion rate. Two placements in 'Retargeting Q1' show sub-70% completion—recommend budget reallocation.
Pause the underperforming placements and increase budget on Spring Launch by 25%.
Paused 2 placements in Retargeting Q1. Increased Spring Launch daily budget from $8,000 to $10,000. Projected reach: +340K impressions this week at maintained $4.20 CPM.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Roku (ex. DataXu) Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Automate DataXu programmatic data integration

Improvado connects to DataXu's DSP platform to extract programmatic campaign data, bid performance metrics, and audience analytics automatically. The platform pulls impression data, conversion tracking, and spend information through secure API connections. Your DataXu data loads into BigQuery, Snowflake, or preferred destinations without manual reporting exports. Programmatic teams get real-time access to campaign performance without technical overhead.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Roku (ex. DataXu) 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 Roku (ex. DataXu) 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

Unify DataXu with cross-channel marketing data

Improvado's Marketing Common Data Model normalizes DataXu programmatic metrics with your other advertising platforms and marketing channels. Campaign performance, audience segments, and conversion data align with Google Ads, Facebook, and 500+ other sources using standardized formats. This normalization enables comprehensive media mix analysis and attribution modeling. Compare DataXu programmatic performance against all digital advertising investments in unified dashboards.

Roku DataXu API v2 · OAuth 2.0 · hourly sync · incremental
Schema Overview

Data objects and fields Improvado extracts from Roku (ex. DataXu)

Object Fields
Campaign
spend impressions clicks conversions CPA CPM status
Line Item
bid_amount budget pacing delivery_status impressions clicks
Creative
format impressions clicks CTR conversions spend
Audience
reach impressions frequency CPM conversions
How it works

From connection to autonomous action in three steps

1

Connect

Connect your Roku advertising account via OAuth. The agent authenticates once and maintains secure access to campaign data, placement performance, and inventory metrics across your CTV buys.

2

Ask

Ask questions like 'Which Roku placements have completion rates below 75%?' or 'Show me CPM trends for streaming inventory this month' or 'What's my reach on smart TV devices versus streaming sticks?'

3

Act

The agent pauses underperforming placements, adjusts campaign budgets and bids, reallocates spend across inventory types, and updates targeting parameters—all within Roku's platform constraints and your approval thresholds.

Use Cases

What teams ask their AI agent about Roku (ex. DataXu)

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 DataXu programmatic ROI with social and search campaigns for media optimization

Your AI agent analyzes Roku (ex. DataXu) data and delivers actionable insights — automatically, in seconds.

8 hrs → 20 min
A
Improvado Agent Cross-channel

Analyze DataXu audience performance across connected TV and display inventory

Your AI agent analyzes Roku (ex. DataXu) data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Create executive reports combining DataXu spend data with sales and revenue metrics

Your AI agent analyzes Roku (ex. DataXu) data and delivers actionable insights — automatically, in seconds.

5 hrs → 15 min
AI Agent Access

Your agent doesn't just read DataXu — it optimizes programmatic bids

Read

Pulls campaign performance data including impressions, completion rates, CPM, reach, frequency, device breakdowns, inventory type performance, placement-level metrics, budget pacing, and audience delivery across your Roku CTV campaigns.

Write

Pauses or activates campaigns and placements, adjusts daily and lifetime budgets, modifies bid strategies, reallocates spend between inventory types, updates frequency caps, and refines device targeting based on performance thresholds you define.

Monitor

Watches for completion rate drops below benchmarks, CPM spikes above targets, budget pacing issues, underdelivering placements, inventory availability changes, and reach saturation—triggering alerts or automatic optimizations per your rules.

AI agents query DataXu DSP campaign data, bid performance metrics, and connected TV audience analytics. They compare programmatic ROI with social and search campaigns, analyze audience performance across CTV and display inventory, and calculate unified cost-per-conversion when correlated with sales data.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Roku (ex. DataXu)
You
Show me top-performing Roku campaigns this quarter and flag any underperforming placements.
A
Active Campaigns
Campaign Impressions Completion Rate
Spring Launch - Smart TV 6.8M 92%
Brand Awareness - Streaming 4.3M 88%
Product Demo - CTV 3.9M 85%
Retargeting Q1 - Placement A 2.1M 68%
Retargeting Q1 - Placement B 1.1M 64%
5 campaigns · 18.2M impressions · avg $4.85 CPM
You
Pause the underperforming placements and increase budget on Spring Launch by 25%.
A
Budget Reallocation Complete
2 placements paused · Spring Launch budget increased to $10K/day
Destinations

Send Roku (ex. DataXu) 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 Roku (ex. DataXu) 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 DataXu campaign data does Improvado extract?
Improvado extracts campaign performance metrics, impression and click data, conversion tracking, audience analytics, and bid performance from DataXu. The platform also captures creative performance, inventory details, and programmatic spend information. All data refreshes automatically based on your configured schedule.
How does DataXu integration work with Roku's platform changes?
Improvado maintains compatibility with DataXu's evolution under Roku ownership including platform updates and API changes. The integration adapts automatically to new data formats and metrics as Roku enhances the advertising platform. Customers receive seamless data flow regardless of underlying platform modifications.
Can I combine DataXu data with other DSP platforms?
Yes, Improvado normalizes DataXu data with other demand-side platforms, ad exchanges, and programmatic tools using the MCDM framework. This creates unified programmatic analytics across multiple DSPs and inventory sources. You can analyze DataXu performance alongside other programmatic investments in consolidated reports.
What destinations support DataXu programmatic data?
Improvado sends DataXu data to BigQuery, Snowflake, Redshift, Azure SQL, Tableau, Power BI, and hundreds of other analytics platforms. The platform handles data transformation and schema management automatically for each destination. Multiple destinations can receive DataXu data simultaneously from a single integration.
How quickly does DataXu data appear in reporting dashboards?
DataXu campaign data typically appears in your dashboards within 20-45 minutes of each scheduled sync. Improvado processes programmatic data volumes efficiently while maintaining data accuracy. Sync frequency can be configured from hourly to daily based on campaign reporting needs.
Is historical DataXu campaign data available?
Yes, Improvado can extract historical DataXu campaign data during initial setup based on platform data retention policies. The integration then maintains ongoing data collection for future campaigns. Historical data enables trend analysis and performance benchmarking for programmatic optimization.