Adobe Analytics Data Feed Integration

Connect Adobe Analytics Data Feed — Raw Insights

Connect Adobe Analytics Data Feed and let AI agents query raw clickstream, eVars, and visitor behavior data alongside marketing performance from 1,000+ platforms.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Adobe Analytics Data Feed
Show me yesterday's traffic breakdown by device type and top 5 entry pages with bounce rates.
Yesterday you had 847K visits across all devices. Mobile drove 62% of traffic with a 41% bounce rate. Your top entry page was /products/winter-collection with 89K visits and 28% bounce.
Compare last week's conversion funnel performance to the previous week for our checkout flow.
Last week your checkout funnel saw 12% drop-off at payment versus 18% the week prior. Cart-to-purchase conversion improved from 3.2% to 4.1%, adding roughly $47K in completed orders.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Adobe Analytics Data Feed Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect Adobe Analytics Data Feed integration

Improvado connects to Adobe Analytics Data Feed to extract raw clickstream data, custom variables, and detailed visitor behavior automatically. The platform processes hourly or daily feed files, parsing hit-level data including page views, events, eVars, and props. Data feeds are monitored continuously, with automatic processing as new files become available. No manual FTP management or file parsing required.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Adobe Analytics Data Feed 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 Adobe Analytics Data Feed 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 web analytics across platforms

Improvado transforms Adobe Analytics Data Feed using the Marketing Common Data Model, standardizing web metrics with other analytics platforms like Google Analytics, marketing automation, and advertising data. Page views, conversion events, and user journeys align across all your data sources. This normalization enables comprehensive customer journey analysis from first touch to conversion. Combine website behavior with campaign performance in a single view.

Adobe Analytics Data Feed API 2.0 · OAuth 2.0 · hourly batch · full refresh
Schema Overview

Data objects and fields Improvado extracts from Adobe Analytics Data Feed

Object Fields
Hit Data
hit_source pagename page_url referrer visit_num visit_page_num post_visid_high post_visid_low post_cust_hit_time_gmt exclude_hit
Traffic Variables
post_prop1-75 prop1-75 post_evar1-250 evar1-250 va_finder_detail va_closer_detail
Conversion Events
event_list post_event_list post_product_list post_purchaseid post_transactionid revenue post_currency
Visitor Profile
geo_city geo_region geo_country geo_dma domain os browser mobile_id carrier connection_type
Custom Data
post_mvvar1-3 post_tnt post_survey post_channel post_campaign post_state post_zip post_search_engine
How it works

From connection to autonomous action in three steps

1

Connect

Connect your Adobe Analytics account via OAuth. The agent accesses your Data Feed exports and Real-Time API, pulling raw clickstream data including page views, events, eVars, props, and conversion metrics across all report suites.

2

Ask

Ask questions like 'Which product categories saw the biggest traffic shift last month?' or 'Show me conversion rates by traffic source for our new campaign' or 'What's the average time to purchase for mobile users?'

3

Act

The agent creates custom segments in Adobe Analytics, schedules automated reports for stakeholder distribution, configures anomaly detection alerts on key metrics, and exports filtered data sets to your warehouse for deeper analysis.

Use Cases

What teams ask their AI agent about Adobe Analytics Data Feed

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 complete customer journeys from Adobe Analytics with campaign attribution

Your AI agent analyzes Adobe Analytics Data Feed data and delivers actionable insights — automatically, in seconds.

8 hrs → 45 min
A
Improvado Agent Cross-channel

Create custom attribution models using raw Adobe Analytics clickstream data

Your AI agent analyzes Adobe Analytics Data Feed data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Build executive dashboards combining web analytics with marketing performance

Your AI agent analyzes Adobe Analytics Data Feed data and delivers actionable insights — automatically, in seconds.

6 hrs → 35 min
AI Agent Access

Your agent doesn't just read Adobe feeds — it traces complete visitor journeys.

Read

The agent reads raw event data from your Data Feed including page views, custom events, commerce transactions, pathing data, eVars, props, traffic variables, conversion metrics, visit and visitor IDs, timestamps, and calculated metrics across all configured report suites.

Write

The agent creates and modifies segments, schedules and distributes reports, configures intelligent alerts with custom thresholds, sets up anomaly detection rules, creates calculated metrics, manages data export jobs, and triggers data warehouse requests for historical analysis.

Monitor

The agent monitors traffic volume anomalies, conversion rate shifts, bounce rate spikes, funnel drop-off changes, revenue per visit trends, segment performance deviations, data collection gaps, and real-time event patterns to alert you when user behavior changes significantly.

The AI agent queries hit-level clickstream data, custom variables, and event sequences from Adobe Analytics Data Feed. It connects page views and props with campaign attribution across all your marketing channels. Ask it to build custom attribution models or identify drop-off points in multi-touch customer journeys.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Adobe Analytics Data Feed
You
Show me top landing pages by revenue for the past 30 days
A
Landing Page Performance
Page Sessions Revenue Change
/collections/outdoor-gear 124,892 +18.3%
/products/hiking-boots 98,447 +24.7%
/sale/clearance 87,203 -8.2%
/collections/camping 76,118 +31.4%
/products/backpacks 64,891 +12.9%
5 pages · 451K sessions · avg +15.8% revenue growth
You
Set up an alert if any top 10 landing page drops more than 20% week-over-week
A
Revenue Alert Configured
Monitoring 10 pages for 20%+ WoW decline
Destinations

Send Adobe Analytics Data Feed 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 Adobe Analytics Data Feed 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 data does Improvado extract from Adobe Analytics Data Feed?
Improvado extracts hit-level data including page views, custom events, eVars, props, product data, and visitor IDs from Adobe Analytics Data Feed. The platform processes both standard columns and custom variables configured in your Adobe Analytics implementation.
How does Improvado handle large Adobe Analytics Data Feed files?
Improvado automatically processes compressed feed files of any size, parsing and loading data incrementally to handle multi-gigabyte files efficiently. The platform manages memory usage and processing time to ensure reliable data loading.
Can I get real-time data from Adobe Analytics Data Feed?
Adobe Analytics Data Feed typically provides hourly files with a 2-4 hour delay. Improvado processes files as soon as they're available, but real-time streaming requires Adobe's Real-time API, which is a separate integration option.
Does the integration preserve custom Adobe Analytics variables?
Yes, Improvado extracts all eVars, props, events, and custom dimensions from your data feed. Custom variables are mapped to appropriate fields in your destination, maintaining their original values and context.
How far back can I extract Adobe Analytics Data Feed history?
Adobe typically retains data feed files for 90 days, though this varies by contract. Improvado can process all available historical files during setup, then maintain ongoing synchronization for new data.
What's the difference between this and Adobe Analytics API integration?
Data Feed provides raw, hit-level data with all custom variables, while the API gives aggregated reports with sampling limitations. Data Feed is better for custom analysis and attribution modeling, though files are larger and have more processing overhead.