Campaign performance tracking and ROI analysis

Purpose

1.1. Automate the collection, aggregation, and visualization of campaign data across all marketing channels for canoe & kayak tour agencies.
1.2. Increase speed and accuracy in calculating campaign ROI by automating tracking of bookings, click-throughs, ad spend, and conversions.
1.3. Automate integration of performance metrics into dashboards and automated reporting for strategic decision making.
1.4. Reduce manual errors and save resources by automating the reconciliation of disparate campaign sources.
1.5. Ensure actionable insights through automated analytics and notification of trends, anomalies, and goal achievements.

Trigger Conditions

2.1. New campaign launch or scheduled data pull (daily/weekly).
2.2. Booking, lead, or inquiry submitted through any advertising campaign.
2.3. Receipt of spend data from advertising channels or budget thresholds met.
2.4. New organic or paid social/SEO event detected.
2.5. Automatedly flagged campaign underperformance or goal achievement.

Platform Variants

3.1. Google Analytics
• Feature/Setting: Automated API extraction of UTM performance, conversion rate, and session data; configure Reporting API.
3.2. Facebook Ads
• Feature/Setting: Automate pulling spend and conversion metrics via Marketing API v17.0, using access token and ad account ID.
3.3. Google Ads
• Feature/Setting: Automated Reports API integration to fetch impressions, cost, and conversions with set campaign ID.
3.4. HubSpot
• Feature/Setting: Use Automation Workflows and Reporting API to automate collection of new leads from ads with campaign source tracking.
3.5. Salesforce
• Feature/Setting: Automated Lead Source field updates with Marketing Cloud API and scheduled Reports Automation.
3.6. Mailchimp
• Feature/Setting: Automated Campaign Reports endpoint; configure campaign_id to fetch clicks/opens by source.
3.7. ActiveCampaign
• Feature/Setting: Automate Contact & Campaign Reporting API for ROI on email-driven tours.
3.8. Zapier
• Feature/Setting: Multi-app automation; connect Analytics data push triggers and reporting destinations.
3.9. Power BI
• Feature/Setting: Automatable dataflows from multiple campaign APIs; refresh on schedule for analytics dashboards.
3.10. Tableau
• Feature/Setting: Automate extract refresh from cloud campaign data sources via Tableau Bridge or REST API.
3.11. Looker Studio
• Feature/Setting: Automate connectors to media platforms and schedule refresh for performance dashboards.
3.12. Klipfolio
• Feature/Setting: Automated data source configuration for campaign data APIs; set refresh and anomaly alerts.
3.13. Google Sheets
• Feature/Setting: Automate App Script for API pulls and performance metric aggregation for real-time ROI tracking.
3.14. Slack
• Feature/Setting: Automated campaign summary notifications; configure Webhooks for performance triggers.
3.15. Notion
• Feature/Setting: API update to campaign logs; automate campaign analytics database sync.
3.16. Monday.com
• Feature/Setting: Automate dashboard/report item updates with automation recipes and external triggers for campaign data.
3.17. SEMrush
• Feature/Setting: Automated access to keyword and campaign SEO analytics via API scheduled pulls.
3.18. Asana
• Feature/Setting: Automate project update triggers from campaign milestones and analytics.
3.19. Trello
• Feature/Setting: Automated card creation for reporting tasks and campaign milestones, using Power-Ups/API.
3.20. QuickBooks
• Feature/Setting: Automate advertising spend reconciliation; API sync with ad platform spend records.

Benefits

4.1. Enables always-on, automated campaign performance measurement with minimal manual intervention.
4.2. Automates identification of high-ROI and underperforming channels for rapid action and optimization.
4.3. Centralizes analytics data, automating reporting and reducing silos.
4.4. Minimizes error risk with end-to-end automated data collection, transformation, and presentation.
4.5. Elevates decision agility by automating actionable insight delivery to teams in real time.