Analytics Dashboard
The Ads Analytics page summarizes campaign performance with a focus on cumulative funnel movement, campaign/keyword/ad breakdowns, and Ads Spend data for ROAS analysis.
Key Features
- Cumulative Funnel: Shows the total number of leads that have ever reached each stage, from Pageview and New through Purchase or Lost. See Funnel Analytics.
- Campaign, Keyword, and Ad Details: Compare performance at each campaign entity level.
- Lead Drill-down: Click a status metric to open the Leads page with matching filters. Drill-down uses cumulative status mode so it matches the funnel number.
- Date and Platform Filters: Analyze a specific period and select a platform tab under the title.
- CSV Export: Download the active summary for offline analysis.
- Ads Spend and ROAS: Combine spend data with lead and conversion metrics. See Ads Spend.
Filters and Date Range
- Use the date picker so every metric is calculated for the same period.
- Select a platform tab under the title to focus on Google, Meta, TikTok, ChatGPT Ads, or LinkedIn.
What is the difference between Funnel and Pipeline Snapshot?
The Analytics funnel is cumulative so you can read drop-off between stages. The Leads page is a current-status snapshot for sales operations.
When you drill down from Analytics to Leads, Konektor uses statusMode=cumulative. For example, clicking responded still includes leads that later moved to purchase.
Lead Drill-down
A status click opens the Leads page with query parameters like:
/member/owner/leads?utmCampaign=Campaign+Name&status=responded&statusMode=cumulative&startDate=YYYY-MM-DD&endDate=YYYY-MM-DD
The Leads page shows a filter summary banner for the selected campaign, keyword, ad, and date range.
Exporting Data
Use Export Data on the Analytics page to download a CSV for the active filters. The CSV format is normalized across platforms so it works well in spreadsheets and BI tools.
Best Practices
- Use the same date range when comparing campaigns.
- Keep lead status definitions consistent across the team.
- Combine Analytics with Ads Spend for better ROAS analysis.
Related Pages
Need More Help?
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