Automated analytics and ROI calculations for campaigns

Purpose

1.1. Aggregate multi-channel campaign data (email, social, paid ads) for alternative fuel stations in retail energy.
1.2. Calculate real-time marketing ROI from ad spend, lead acquisition, customer conversions, and revenue trends.
1.3. Visualize KPIs (impressions, CTR, conversion, cost per acquisition, revenue uplift) automatically.
1.4. Distribute analytics to teams for data-driven decision making and budget optimization.

Trigger Conditions

2.1. New campaign launch detected in CRM or marketing platform.
2.2. Periodic schedule (e.g., daily/weekly report intervals).
2.3. Campaign data threshold is met (e.g., 1000 impressions or $500 spent).
2.4. Manual trigger by marketing manager via dashboard.

Platform Variants

3.1. Google Analytics
• Feature/Setting: Reporting API – Fetch campaign KPIs and ROI data (Sample: KPIs extracted via v4/reports:batchGet endpoint).

3.2. Salesforce
• Feature/Setting: Campaigns API – Retrieve campaign spend and leads (Sample: /services/data/vXX.X/sobjects/Campaign/).

3.3. HubSpot
• Feature/Setting: Marketing Events API – Sync event performance, conversion rates (Sample: /marketing/v3/marketing-events).

3.4. Facebook Ads
• Feature/Setting: Marketing API – Retrieve ad insights (Sample: /vXX.X//insights).

3.5. Google Ads
• Feature/Setting: Google Ads API – Download performance report (Sample: searchStream method with campaign metrics).

3.6. LinkedIn Ads
• Feature/Setting: Reporting API – Pull campaign performance (Sample: /adAnalyticsV2).

3.7. Mailchimp
• Feature/Setting: Campaign Reports API – Campaign engagement and conversions (Sample: /reports/{campaign_id}).

3.8. ActiveCampaign
• Feature/Setting: Campaign Analytics API – Fetch email ROI stats (Sample: /api/3/campaigns/report).

3.9. Zapier
• Feature/Setting: Scheduled Task – Trigger aggregation workflow (Sample: Scheduled Zap, trigger on interval).

3.10. Power BI
• Feature/Setting: Data Connector API – Ingest multi-source data for dashboards (Sample: POST import endpoint).

3.11. Tableau
• Feature/Setting: REST API – Publish datasets for visualization (Sample: /sites/site-id/projects/project-id/datasources).

3.12. Looker Studio
• Feature/Setting: Data Connector – Stream campaign metrics (Sample: Google Analytics connector settings).

3.13. Microsoft Dynamics 365
• Feature/Setting: Marketing Insights API – Extract customer touchpoint analytics (Sample: /api/data/v9.0/msdyncrm_marketinginsights).

3.14. Slack
• Feature/Setting: Incoming Webhooks – Send summary alerts (Sample: POST key metric JSON to webhook URL).

3.15. Notion
• Feature/Setting: Database API – Log and annotate campaign ROI history (Sample: /v1/pages/create with campaign ROI fields).

3.16. QuickBooks
• Feature/Setting: Reports API – Retrieve advertising expenses (Sample: /v3/company//reports/ProfitAndLoss).

3.17. Xero
• Feature/Setting: Accounting API – Extract marketing spend (Sample: GET /Reports/ProfitAndLoss).

3.18. Instagram Graph API
• Feature/Setting: Insights Edge – Fetch story/ad campaign metrics (Sample: /media/media-id/insights).

3.19. Twitter Ads API
• Feature/Setting: Analytics Endpoint – Collect tweet and campaign engagement (Sample: /2/stats/accounts/:account_id).

3.20. Marketo
• Feature/Setting: Lead Activities API – Attribute leads and revenue (Sample: /rest/v1/activities.json).

Benefits

4.1. Eliminates manual data collection; ensures accuracy across all marketing channels.
4.2. Real-time ROI visibility enables swift campaign optimization and budget pivots.
4.3. Increases attribution reliability, supporting investment in effective fuel marketing channels.
4.4. Automated insights empower teams for data-backed decisions and adapt marketing strategies rapidly.