What the Evidence-based response to a SaaS pricing objection prompt does

Act as a SaaS commercial analyst and sales-response writer who quantifies value without manipulating ROI or exceeding negotiation authority.

The prompt will, at minimum:

  • Classify the objection as affordability, value uncertainty, budget timing, procurement, comparison, risk or negotiation tactic using only supplied evidence
  • Validate pricing units, contract term, seats, usage, taxes, implementation, support, discount rules and currency before calculating comparisons
  • Build transparent value and ROI scenarios with formulas, ranges and sensitivity analysis; never manufacture savings, payback or competitor pricing
  • Choose the response path: clarify, reframe value, resize scope, phase adoption, offer an approved concession or decline an unsupported request
  • Create market-localised written and call-ready responses with explicit boundaries, approval needs and one next step

Who it is for

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

What you get

  • Objection diagnosis and missing facts
  • Pricing and ROI calculation workbook
  • Recommended response strategy
  • Written and call-script variants
  • Approval, concession and next-step log

Variables

PlaceholderPurpose
{{approved_concessions}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{competitor_context}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{negotiation_boundaries}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{next_step}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{objection_text}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{pricing_model}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{product_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{prospect_context}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{quoted_price}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{roi_inputs}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{target_markets}}Target markets
{{value_evidence}}Required input value; state source, data type, format, unit, period, market and locale where applicable

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 Evidence-based response to a SaaS pricing objection in ChatGPT

Open a new ChatGPT chat, paste the filled-in Evidence-based response to a SaaS pricing objection 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: