Reporting & Brand Analytics

Extract attribution metrics and room night revenue using brand analytics dashboards (e.g., Marriott's MINT or Hyatt's Adobe Analytics)

Once Cogwheel Attribute is rewriting links, traffic attribution shifts from a single hardcoded segment to granular, channel-specific metrics in your brand's business intelligence dashboard.

Configuring Reports in Brand Dashboards

Follow these steps to generate revenue reports sorted by campaign channel:

  1. Log In: Visit your brand's partner portal (such as the Marriott portal, Hyatt analytics, or Hilton BI) and open the reporting or business intelligence interface.
  2. Access Digital Reports: Navigate to the campaign performance, digital ecommerce, or traffic reports section.
  3. Filter by Property: Add a filter for your property’s brand identifier (e.g., Marriott MARSHA code, Hyatt Spirit code, or Hilton Hotel ID).
  4. Set Date Range: Choose the period corresponding to your active Cogwheel tracking.
  5. Segment by Parameter: Add a primary dimension or segment for your campaign tracking parameter (e.g., Campaign ID/SCID for Marriott, src for Hyatt, or WT.mc_id for Hilton).

Analyzing Your Revenue Data

Your brand's reporting dashboard will display a table containing rows corresponding to the individual campaign or source codes you configured.

For example, in Marriott's MINT dashboard, it shows campaign metrics sorted by SCID:

Campaign ID (SCID)Traffic ChannelBookingsRoom NightsGross Revenue
PMO_YOUR_GOOGLE_SCIDGoogle Ads (Paid)124340$85,000
PMO_YOUR_META_SCIDMeta Ads (Paid)88210$52,500
UNP_YOUR_ORGANIC_SCIDOrganic / Fallback412980$245,000

Key Metrics to Track:

  • Look-to-Book Ratio: The conversion percentage of outbound clicks that resulted in a finalized reservation.
  • Return on Ad Spend (ROAS):
    ROAS = Campaign Revenue (Brand Portal) / Ad Spend (Google/Meta Dashboards)
    Compare brand portal revenue against your Google Ads or Meta Ads spend to calculate exact financial returns for your vanity website.
  • Average Length of Stay (LOS): Analyze if paid channels drive longer bookings than fallback/organic traffic.

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