Automated gathering and aggregation of analytics from multiple platforms

Purpose

1.1. Provide advertising agencies with an automated solution for collecting, aggregating, and centralizing analytics data from a wide range of digital platforms.
1.2. Reduce manual work by synchronizing real-time marketing performance data for client reporting and deep analytics.
1.3. Streamline the retrieval of campaign, audience, and conversion metrics for comprehensive cross-channel insight.
1.4. Support automated analytics pipelines for report generation, periodic insights, and fast data-driven decision-making.

Trigger Conditions

2.1. Scheduled intervals (e.g., daily, hourly) for data sync.
2.2. Manual trigger by team for ad-hoc reporting.
2.3. Event-based triggers (e.g., end of campaign, significant metric change).
2.4. Automatic triggers on new campaign creation or updates to platform credentials.

Platform Variants

3.1. Google Analytics
  • Function: Reporting API v4 – analytics.data.ga.get
  • Configure: Set view ID, metrics, dimensions, date ranges.
3.2. Meta Ads (Facebook Ads)
  • Function: Marketing API – Insights
  • Configure: Ad account ID, fields (reach, clicks, spend), time range
3.3. Google Ads
  • Function: Google Ads API – SearchStream
  • Configure: Customer ID, metrics fields (impressions, conversions, cost)
3.4. LinkedIn Ads
  • Function: Ad Analytics API – /adAnalytics
  • Configure: Organization ID, fields (clicks, opens), time period
3.5. Twitter Ads
  • Function: Analytics API – /stats
  • Configure: Line item ID, metrics (engagement, spend), granularity
3.6. TikTok Ads
  • Function: Reporting API – /open_api/v1.2/report/integrated/get
  • Configure: Advertiser ID, report type, date range
3.7. Pinterest Ads
  • Function: Analytics API – /v5/ads/analytics
  • Configure: Ad account ID, metrics (impressions, saves), period
3.8. Snapchat Ads
  • Function: Marketing API – /adaccounts/stats
  • Configure: Ad account ID, fields, start and end date
3.9. YouTube (Google Data API)
  • Function: Reporting API – reports.query
  • Configure: Channel ID, metrics (views, watch time), filters
3.10. Instagram Insights
  • Function: Graph API – /insights
  • Configure: Media or user ID, metrics (followers, engagement), period
3.11. HubSpot
  • Function: Analytics API – /events/v3/events
  • Configure: Portal ID, event types, time frame
3.12. Salesforce Marketing Cloud
  • Function: REST API – /data/v1/async/dataextract
  • Configure: Data extract type, time range, object fields
3.13. Mailchimp
  • Function: Reports API – /reports
  • Configure: Campaign ID, metrics (opens, clicks), timeframe
3.14. Klaviyo
  • Function: Metrics API – /metrics/timeline
  • Configure: Metric ID, time window
3.15. Intercom
  • Function: Conversations API – /counts
  • Configure: Admin ID, conversation type, time range
3.16. Shopify
  • Function: Admin API – /reports.json
  • Configure: Report ID, fields, dates
3.17. Google Data Studio
  • Function: Data Connector API
  • Configure: Connector type, data sources, update frequency
3.18. SEMrush
  • Function: Analytics API – /domain_ranks
  • Configure: Domain, database, date
3.19. Ahrefs
  • Function: API v3 – /domain/rank
  • Configure: Target domain, metrics
3.20. CallRail
  • Function: API v3 – /calls
  • Configure: Company ID, filters, metrics (call source)

Benefits

4.1. Eliminates repetitive manual data gathering across multiple ad and analytics platforms.
4.2. Reduces likelihood of human error and ensures data consistency.
4.3. Speeds up client reporting cycles and provides up-to-date insights.
4.4. Supports scalability of agency operations with minimal additional overhead.
4.5. Enhances competitive advantage via unified and timely analytics.
4.6. Frees team bandwidth for campaign optimization and strategic analysis.
4.7. Enables custom report building and dashboard updates automatically.
4.8. Integrates analytics with other agency processes for closed-loop performance management.