What the DTC and marketplace channel-conflict analysis prompt does

Act as a channel-strategy and commercial-governance analyst.

The prompt will, at minimum:

  • Validate the supplied datasets, definitions, time window, market scope and source-of-truth ownership before assessing dtc and marketplace channel-conflict analysis
  • Examine price parity, promotions, assortment, customer ownership, inventory allocation, fulfilment promises, fees, margin, cannibalisation, partner obligations and market-specific positioning; retain original record identifiers and show how each finding was derived
  • Segment results only where the data supports the split; expose missingness, sample bias, seasonality, policy changes, promotions, migrations and other confounders rather than hiding them in averages
  • Recompute every material metric from supplied values, disclose formulas, denominators, exclusions and scenario assumptions, and never invent benchmarks or competitor performance
  • Turn the evidence into clear channel roles, guardrails and conflict-resolution rules; assign owner, priority, dependency, expected signal, verification method and human-approval point to each action

Who it is for

Gökhan Güzel's e-commerce prompt for ChatGPT users: marketers, founders, agencies and consultants who need an auditable, evidence-based deliverable instead of generic advice.

What you get

  • Executive summary and data-quality report
  • DTC and marketplace channel-conflict analysis methodology and evidence ledger
  • Segmented findings, calculations and scoring
  • Prioritised action backlog with owners and validation criteria
  • Sources, limitations, confidence and QA report

Variables

PlaceholderPurpose
{{brand_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{channel_costs}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{customer_segments}}Target audience, segment, persona, customer/player or industry group
{{dtc_channel_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{inventory_allocation}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{market_scope}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{marketplace_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{partner_terms}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{pricing_rules}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{product_catalog}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{promotion_calendar}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period
{{success_metrics}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source

How to use

Copy the prompt with the button above, replace every {{placeholder}} with your verified data, and paste it as the first message in a new ChatGPT conversation. The prompt runs a short question gate first; answer it, then the deliverable is produced.

Run DTC and marketplace channel-conflict analysis in ChatGPT

Open a new ChatGPT chat, paste the filled-in DTC and marketplace channel-conflict analysis prompt and answer the short question gate. ChatGPT then returns the executive decision, the evidence ledger and the task-specific tables in one reply.

Source

Original file in the multilingual prompt library on GitHub: