Connect Strava Data — Fitness Analytics Unleashed

Connect Strava and let AI agents query athlete activities, segment performance, and kudos data alongside app engagement metrics from 1,000+ sources.

SOC 2 Type II 1,000+ data sources Any warehouse or BI tool

Improvado Agent

Connected to Strava

Show me this week's training performance across all athletes.

You have 247 active athletes this week with 1,834 activities logged. Average weekly mileage is 32.4 miles, up 8% from last week. Top performer is Sarah Chen with 87 miles and 12 hours of training time.

Flag any athletes who've dropped below 50% of their usual volume.

Found 19 athletes with significant volume drops. Largest decline is Mike Torres, down 67% from his 4-week average. I've added them to your 'Check-In Required' segment and drafted personalized messages.

Trusted by data-driven teams

1,000+

Integrations

200+

Strava Fields

99.9%

SLA Uptime

<5 min

Setup

SOC 2

Type II

Key Takeaways

Connect Strava to your data warehouse

Improvado integrates with Strava's API to extract athlete activities, segment data, and performance metrics automatically. The platform handles OAuth authentication and pulls activity data, kudos, and club information on scheduled intervals. Your analytics team gets access to detailed fitness data without managing API complexities or rate limiting.

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

Improvado's Marketing Common Data Model normalizes Strava activities alongside data from other fitness apps, marketing platforms, and business systems. Activity types, distances, and performance metrics map to standardized schemas for cross-platform analysis. Teams can correlate fitness engagement with user behavior, app usage, and business outcomes in unified dashboards.

Strava API v3 · OAuth 2.0 · hourly · incremental

Schema Overview

Data objects and fields Improvado extracts from Strava

Object	Fields
Activities	id name distance moving_time elapsed_time total_elevation_gain type start_date average_speed max_speed
Segments	id name distance average_grade maximum_grade elevation_high elevation_low climb_category
Athletes	id username firstname lastname city state country follower_count
HeartRate	average_heartrate max_heartrate suffer_score calories

How it works

From connection to autonomous action in three steps

Connect

Connect your Strava account via OAuth in under 60 seconds. The agent syncs athlete activities, segment efforts, heart rate zones, and training load metrics automatically.

Ask

Ask questions like 'Which athletes are at risk of overtraining based on their training stress scores?' or 'Show me completion rates for this month's challenge.'

Act

The agent sends kudos to athletes, creates custom segments, updates club announcements, flags performance anomalies, and triggers coaching interventions based on training load patterns.

Use Cases

What teams ask their AI agent about Strava

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 →

Improvado Agent Analysis

Analyze user engagement patterns by correlating Strava activities with app usage metrics

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

Manual → auto

Improvado Agent Cross-channel

Track fitness brand campaign performance by monitoring athlete activity and engagement

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

6 hrs → 20 min

Improvado Agent Reporting

Generate reports combining Strava segment performance with user retention metrics

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

4 hrs → 10 min

AI Agent Access

Your agent doesn't just read activities — it predicts retention by effort

Read

Pulls activity data (runs, rides, swims), segment efforts, heart rate metrics, power output, training stress scores, athlete profiles, club memberships, challenge participation, and achievement milestones from your Strava account.

Write

Posts kudos and comments on activities, creates and updates club events, sends athlete messages, updates challenge leaderboards, creates custom segments, and modifies training plan recommendations based on performance data.

Monitor

Watches for training volume drops, overtraining indicators via elevated heart rate or declining power metrics, missed workout patterns, new personal records, segment achievements, and unusual activity gaps that require coaching attention.

AI agents query activity types, segment times, kudos counts, and club participation from Strava. They can identify engagement drop-offs by comparing weekly activity volume, correlate fitness milestones with app feature usage, and segment athletes by performance trends for targeted campaign optimization.

Claude ChatGPT Cursor Gemini Any MCP Client

Explore MCP →

Improvado Agent · Strava

You

Show me athlete engagement trends for the past month

Athlete Performance

Athlete	Activities	Engagement Δ
Sarah Chen	28 activities	+23%
Marcus Williams	22 activities	+15%
Elena Rodriguez	19 activities	+8%
Jake Morrison	14 activities	-12%
Amy Foster	11 activities	-18%

247 athletes · 1,834 activities · avg 7.4 activities/athlete

You

Send kudos to top 3 performers and check-in messages to declining athletes

Messages queued for 8 athletes

3 kudos sent · 5 check-ins drafted

Destinations

Send Strava data anywhere

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

Snowflake → BigQuery → Redshift → Databricks → Power BI → Tableau → Looker Studio → Google Sheets → Domo → Excel → Qlik → Amazon S3 → Metabase → Grafana → PostgreSQL → Azure SQL →

SOC 2 Type II: Certified Security

HIPAA: Health Data Privacy

GDPR: EU Data Protection

CCPA: CA Privacy Standard

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 Strava 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

How does Improvado connect to Strava?

Improvado uses Strava's API v3 with OAuth 2.0 authentication to access athlete data. You authorize the connection through Strava's standard OAuth flow. The integration respects Strava's rate limits and privacy settings automatically.

What Strava data can I extract?

Improvado extracts activities, segments, athlete profiles, and club data from Strava. This includes activity metrics like distance, pace, elevation, and heart rate data. The scope depends on athlete privacy settings and API permissions.

Can I combine Strava data with marketing platforms?

Yes, Improvado normalizes Strava data through its Marketing Common Data Model. You can analyze fitness activities alongside marketing campaign data, user engagement metrics, and business intelligence from 500+ other platforms. All data flows into your chosen analytics destination.

How often does Strava data refresh?

Refresh intervals range from every hour to daily based on your analysis needs. Most teams refresh Strava data every few hours to balance data freshness with API rate limits. Improvado handles scheduling and manages OAuth token refresh automatically.

Where can I send Strava data?

Improvado loads Strava data into data warehouses like BigQuery, Snowflake, and Redshift. Direct connections to BI tools including Tableau, Power BI, and Looker are also available. Multiple destinations can receive data simultaneously.

Does this respect athlete privacy settings?

Yes, Improvado only extracts data that athletes have made available through Strava's API permissions. Private activities and restricted data remain protected. The integration follows Strava's privacy policies and API terms of service.

Customer stories

See all customer stories →

“Improvado saves about 90 hours per week and allows us to focus on data analysis rather than routine data aggregation, normalization, and formatting.”

Jeff LeeHead of Social, Media Buy, Influencer & Marketing Data, ASUS

Read story →

“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.”

Marc CerniglioInsights & Automation Manager, Chacka Marketing

Read story →

Put an AI agent on your Strava today

Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.

Get your agent View all 1,000+ integrations