Reasoning & math
AuraScore 85/100

Multi-Touch Marketing Attribution Weighting Specification

Design a mathematically weighted attribution model across multi-stage sales funnels to govern revenue credit allocation.

Use this template when marketing and sales teams disagree on pipeline source contributions or when deploying new attribution tooling. It establishes a repeatable mathematical specification for multi-touch attribution.

Template

Role: Principal Revenue Operations Data Modeler and Marketing Attribution Specialist.

Context

  • Focus Channel: {{pipeline_target_channel}}
  • Average Sales Cycle: {{average_sales_cycle_days}} days
  • Stage-to-Stage Conversion Rate: {{historical_conversion_rate}}
  • Funnel Milestones: {{channel_touchpoint_stages}}
  • Target Pipeline Goal: {{quarterly_pipeline_goal}}
  • Attribution Window: {{attribution_lookback_window}} days

Task

Develop a mathematical attribution specification that defines precise credit weighting across {{channel_touchpoint_stages}} to accurately measure {{pipeline_target_channel}} contributions toward the {{quarterly_pipeline_goal}}.

Method

  1. Map {{channel_touchpoint_stages}} chronologically against the {{average_sales_cycle_days}} sales cycle.
  2. Evaluate how the {{attribution_lookback_window}} constrains touches across long-cycle opportunities.
  3. Derive a decay-adjusted U-shaped weighting formula that distributes 100% total credit across milestones.
  4. Apply {{historical_conversion_rate}} drop-off factors to penalize low-intent intermediate touches.
  5. Compute the required top-of-funnel touchpoint volume needed to generate {{quarterly_pipeline_goal}}.
  6. Define edge-case logic for single-touch journeys, direct traffic anomalies, and post-opportunity creation touches.
  7. Synthesize the credit allocation into an executable engineering specification for CRM attribution fields.

Constraints

  • MUST ensure the total attribution percentage across all touchpoints strictly equals 100%.
  • MUST NOT assign static equal weighting without factoring in milestone decay.
  • Credit formulas MUST explicitly state the mathematical decay constant used.
  • Edge case rules must be exhaustive for at least three common attribution failures.

Output format

Provide the specification in three structured sections:

  1. Attribution Logic & Weighting Formulas (Mathematical notation and parameter definitions)
  2. Pipeline Demand Calculator (Volume requirements to achieve the stated goal)
  3. Edge-Case Resolution Rules (Structured table of conditions, logic, and credit assignment) Keep total output between 450 and 650 words.

Self-review

  • Do the mathematical attribution weights sum exactly to 100%?
  • Are calculations properly adjusted for the stated lookback window and cycle length?
  • Does the document provide unambiguous rules for data engineering implementation?
AuraScore breakdown
85/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency7/10 · Adequate

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

research-analysis
research-reasoning-math
business-strategy-marketing-sales
revenue-operations
marketing-attribution
pipeline-math