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Cohort-aligned revenue reporting

Cohort-aligned revenue reporting

Overview

Spectacle's reporting is designed to give SaaS and subscription-based companies a clear view of how their marketing efforts contribute to revenue over time. Unlike traditional revenue reporting, which often attributes revenue to the date of payment, Spectacle aligns revenue with the touchpoints that led to the conversion. This ensures that businesses can effectively measure and optimize their marketing efforts based on long-term customer acquisition and retention trends.

How revenue is reported

Spectacle employs Cohort-aligned revenue reporting, meaning that revenue is shown at the time of the marketing touchpoints that contributed to the conversion. This allows for accurate measurement of ad performance over time.

Date range and calculation

When generating a revenue report for a selected date range, Spectacle includes data as follows:

  1. Touchpoints within the selected date range:

    • The report includes all leads that had at least one touchpoint within the chosen date range.
  2. Attribution of leads, customers, and revenue:

    • Revenue, leads, and customer counts are summed based on each touchpoint's relative contribution, according to the selected attribution model.
    • However, if a portion of a lead or customer’s revenue is attributed to a touchpoint outside the date range, that portion is excluded from the sum.
  3. Ad Spend Within the Date Range:

    • All advertising spend within the selected timeframe is included, ensuring that cost and return on investment can be properly evaluated.

Benefits of cohort-aligned revenue reporting

  • Accurate marketing attribution: See how top-of-funnel activities contribute to long-term revenue.
  • Better budget allocation: Identify the best-performing ad channels based on actual customer value rather than short-term conversions.
  • Clearer roi measurement: Compare ad spend against revenue generated from those marketing efforts within the same timeframe.
  • Holistic customer journey analysis: Gain insights into how multiple touchpoints influence conversions over time.
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