Automated tracking of campaign performance metrics

Purpose

1.1. Automate real-time collection, aggregation, and reporting of multi-channel campaign KPIs for film launches.
1.2. Automate extraction and standardized visualization of performance across email, social, paid, and owned campaigns.
1.3. Automate notifications for underperforming segments and automate triggers for spend change recommendations.
1.4. Automating cross-team data availability to inform marketing, sales, and creative with unified metrics dashboards.
1.5. Automate cross-platform attribution to automate executive reporting and media buying strategy changes.

Trigger Conditions

2.1. Automatedly triggered by new data entry into analytics tools (e.g., daily at midnight, campaign-specific webhook, or webhook to a third-party endpoint).
2.2. Automatedly triggered by change in key metrics (CTR drops by 10%, conversion rate spike, etc.).
2.3. Automatedly triggered on schedule (e.g., every Monday 9 am for weekly summaries) or after campaign phase completions.
2.4. Automatedly triggered by incoming email/social mentions of campaign hashtags or monitored keywords.

Platform Variants

3.1. Google Analytics
• Feature/Setting: Automated API data pulls via Analytics Reporting API v4 — configure OAuth and select viewIds, metrics, and dimensions.

3.2. Facebook Graph API
• Feature/Setting: Automated campaign insights endpoint, set ‘adaccounts’>’insights’, filter by campaign id, automate fetch frequency.

3.3. Twitter API (X API)
• Feature/Setting: Automated retrieval with GET /2/tweets/counts/all for hashtag analytics, configure Bearer token and query filters.

3.4. Instagram Graph API
• Feature/Setting: Automated fetch from /insights, specify metrics like reach, impressions, engagement, set scheduling for automation.

3.5. YouTube Data API
• Feature/Setting: Automatedly retrieve video/campaign performance with videos.list/analytics.query, schedule daily/publish events.

3.6. LinkedIn Marketing Developer Platform
• Feature/Setting: Automate adAnalytics endpoints for campaign stats, use registered App, automate by Organization URN.

3.7. HubSpot Marketing API
• Feature/Setting: Automate fetching of campaign analytics through GET /email/public/v1/campaigns, cron or webhook triggers.

3.8. Mailchimp API
• Feature/Setting: Automate /reports endpoint; set campaign_id, automate retrieval of opens, clicks, bounces after each campaign.

3.9. ActiveCampaign API
• Feature/Setting: Automate GET /api/3/reports/campaignSummary, schedule or trigger post-send.

3.10. Zapier Webhooks
• Feature/Setting: Automate POST to custom endpoint as campaign summary, schedule daily or on new campaign activity.

3.11. Tableau REST API
• Feature/Setting: Automate data source refresh from campaign databases, ‘runNow’ endpoint on schedule completion.

3.12. Power BI REST API
• Feature/Setting: Automate refresh POST /groups/{groupId}/datasets/{datasetId}/refreshes, link to data in campaign tables.

3.13. Salesforce Marketing Cloud API
• Feature/Setting: Automate sendSummaryReport retrieval, schedule end-of-campaign or on new activity.

3.14. Google Data Studio API
• Feature/Setting: Automate data updates from external warehouse (BigQuery), transformation for campaign automatable datasets.

3.15. Sprout Social API
• Feature/Setting: Automate social analytics extraction, schedule engagement retrieval every 6 hours.

3.16. Hootsuite API
• Feature/Setting: Automate GET analytics messages, filter for campaign tags, automate post frequency-based extraction.

3.17. TikTok for Business API
• Feature/Setting: Automate pulling ad reports with `/report/integrated/get/`, schedule based on campaign periods.

3.18. Tableau Public API
• Feature/Setting: Automate data uploads and update dashboards for public campaign reports.

3.19. Monday.com API
• Feature/Setting: Automate GET board updates related to campaign tasks, trigger reports on task state changes.

3.20. Slack API
• Feature/Setting: Automate scheduled posting of campaign summaries to channels via ‘chat.postMessage’, automate alerting.

Benefits

4.1. Streamlines and automates manual reporting, ensuring fast, error-free data flow.
4.2. Automated detection of performance dips enables real-time corrective action, automating response.
4.3. Automates notifications, saving staff time and increasing reactivity.
4.4. Increases reliability and scope of analytics, automating executive insights without manual effort.
4.5. Automates multi-platform integration, eliminating data silos and automating cross-channel learnings.
4.6. Automatedly provides a competitive edge by automating trend and anomaly alerts.