Statsig Data Integration | Experimentation & Feature Flags
Connect Statsig in 5 minutes. Your AI agent analyzes A/B experiments, feature flags, funnels, and cohorts to optimize conversion rates — then correlates test results with revenue data from 1,000+ sources.






Key Takeaways What your AI agent extracts from Statsig
Your agent reads A/B experiments, feature flags, custom events (conversions, revenue, engagement), user cohorts (high/medium/low spend segments), funnels with drop-off analysis, session replay data, Web Analytics metrics (click-through rates, page views, behavioral tracking), and OpenTelemetry traces/logs. It surfaces experiment results, statistical significance, variant performance, and downstream revenue impact. Warehouse Native integration enables zero-ETL analysis on existing data warehouse tables.
Complete Experimentation Data Coverage
Improvado pulls A/B experiment results, feature flag adoption rates, custom event metrics, user cohort segments, funnel conversion data, and statistical significance scores from Statsig. We capture variant performance, lift calculations, session replay insights, and Web Analytics behavioral data across all active and archived experiments.
Data objects and fields Improvado extracts from Statsig
| Object | Fields |
|---|---|
| Experiments | experiment_id experiment_name variant_id variant_name traffic_allocation_percent conversion_rate revenue_per_user sample_size p_value confidence_level start_date status |
| FeatureFlags | flag_id flag_name enabled targeting_rules rollout_percent user_count created_date last_modified |
| Events | event_id event_name user_id timestamp event_value metadata cohort experiment_variant |
| Cohorts | cohort_id cohort_name user_count spend_segment behavioral_attributes created_date |
| Funnels | funnel_id funnel_name step_name step_order completion_rate drop_off_rate user_count avg_time_to_complete |
From connection to autonomous action in three steps
Connect
Connect: Provide your Statsig API secret key and project ID to Improvado. SDK integration auto-detects active experiments, feature flags, and custom events. Setup completes in ~8 minutes with automatic event streaming.
Ask
Query: Ask 'Which experiment variants are underperforming and should be paused?' — your agent surfaces the pricing page test with Variant C at -8.3% conversion (p=0.02), then shows funnel drop-off analysis and cohort breakdown.
Act
Act: Your agent pauses Variant C, shifts traffic to the winning Variant A (100% allocation), creates a Slack alert for the product team, and launches a follow-up experiment testing headline copy with 50/50 traffic split.
What teams ask their AI agent about Statsig
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
What's the conversion lift for our checkout button color test and is it statistically significant?
Your AI agent analyzes Statsig data and delivers actionable insights — automatically, in seconds.
Compare revenue per user across all active experiments and show which cohorts are responding best
Your AI agent analyzes Statsig data and delivers actionable insights — automatically, in seconds.
Pause the underperforming variant in the pricing page experiment and roll out the winner to 100%
Your AI agent analyzes Statsig data and delivers actionable insights — automatically, in seconds.
Your agent doesn't just read Statsig — it optimizes your experiments.
Read
Read: A/B experiments (variants, results, significance), feature flags (status, rules), custom events (conversions, revenue, engagement), user cohorts (spend segments), funnels (drop-offs, completion rates), session replays, Web Analytics (CTR, trends), and OpenTelemetry metrics/traces.
Write
Write: Create and modify experiments, adjust traffic allocation between variants, pause or launch feature flags, update targeting rules, roll out winning variants, configure event tracking, and sync experiment definitions to your data warehouse via Warehouse Native.
Monitor
Monitor: Track experiment statistical significance, conversion rate trends by variant, revenue impact per cohort, funnel drop-off anomalies, feature flag adoption rates, and A/A test integrity — with automatic alerts when variants reach significance thresholds or underperform by set margins.
Claude, ChatGPT, and Cursor can launch experiments, adjust traffic allocation, pause underperforming variants, and roll out winners based on statistical significance. Your agent detects that Variant B increased revenue by 18% with 99% confidence, then automatically scales it to 100% traffic and creates a follow-up test. Every experiment change, flag toggle, and traffic shift is logged in your audit trail with confidence intervals and business impact.
| Variant | Conversion Rate | Lift vs Control |
|---|---|---|
| Control — Blue Button | 5.8% | — |
| Variant A — Green Button | 6.7% | +15.5% ✓ |
| Variant B — Orange Button | 6.2% | +6.9% |
| Variant C — Red Button | 5.4% | -6.9% |
| Variant D — Purple Button | 5.9% | +1.7% |
Send Statsig data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.
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 Statsig 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.
Frequently asked questions
How does Improvado connect to Statsig?
What Statsig data does Improvado pull?
How often does Statsig data refresh?
Can the AI agent write data back to Statsig?
Is Statsig data secure with Improvado?
How does Statsig connect with other platforms in Improvado?
"Improvado saves about 90 hours per week and allows us to focus on data analysis."
"Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours."
Put an AI agent on your Statsig today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.