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Pricing Strategy Framer

Set your pricing and promo posture before tactics set it.

What is the Pricing Strategy Framer?

The Pricing Strategy Framer is a free AI skill that sets a brand's pricing and promotion posture within a food and beverage category. You give it your price ladder, promo history, competitor behavior, and margin constraints; it returns a recommended posture — EDLP, Hi-Lo, or hybrid — with the reasoning, promoted-price guardrails that protect your base price, a coherence check across your price-pack ladder, and explicit rules of engagement for when key competitors move. It is built for category and revenue managers whose strategy is really an accumulation of promo decisions nobody chose, and who need a documented posture before the next trade-planning cycle. Because it turns pricing from case-by-case reaction into stated rules, it gives sales teams something to hold the line with under buyer pressure. Pairing it with live food and beverage demand data reveals how much of your volume rides on deal-seeking versus genuine preference.

Who it's for

  • Category managers documenting a pricing posture for the first time
  • Revenue growth managers setting promoted-price guardrails
  • Sales leaders needing rules for competitive price responses
  • Brand owners breaking a deep-discount habit

What you get

  • A recommended pricing posture (EDLP, Hi-Lo or hybrid) with rationale
  • Promoted-price guardrails: floor, frequency and depth rules
  • A coherence check across your price-pack ladder
  • Rules of engagement for responding to competitor moves
  • A transition plan if your current posture must change
  • The internal one-pager that makes the posture stick

How to use it

  1. 1Drop the prompt into ChatGPT, Claude or Gemini.
  2. 2Fill in the bracketed inputs (price ladder, promo history, competitors, margins).
  3. 3Answer its clarifying questions about volume on deal and retailer posture.
  4. 4Ask it to simulate the first competitor undercut and your scripted response.

See it in action

Example input

Category: meat snacks. Brand: fictional 'Trailhead' jerky, premium-positioned but running 40% of volume on deep discount after two years of reactive promos. Our main competitor promotes shallow and infrequent. We want to know if we can break the discount habit without losing our shelf.

Example output

Posture recommendation for Trailhead — meat snacks:

Diagnosis
- Forty percent of volume on deep deal against a shallow-promoting competitor is a Hi-Lo habit, not a Hi-Lo strategy — and it is training premium shoppers to wait. The base price has quietly stopped being a real price. Validate with your baseline-versus-promoted volume split.

Recommended posture
- Hybrid, tilted toward everyday stability: fewer, shallower promotions concentrated in 2-3 high-traffic windows (grilling season, big-game, holiday travel), with the base price defended in between.

Guardrails
- Depth: never below the point where the deal price becomes the reference price — set the threshold from your elasticity read and treat it as an assumption to validate.
- Frequency: cap promo weeks per quarter; no back-to-back events at the same retailer.

Ladder coherence
- The multipack must beat the single-bag price per ounce even on promo, or the promotion cannibalizes your own ladder.

Rules of engagement
- Competitor goes deep: hold price, respond with display presence and bonus-pack value instead.

Transition
- Step promo depth down over two cycles rather than one cliff; brief every buyer on the new calendar before it starts.

Want the internal one-pager to align sales and finance?

The prompt

Here's the start of the prompt. Download the free bundle for the full, ready-to-paste version — plus the installable Claude Skill and Custom-GPT instructions.

# Role
You are a senior revenue and pricing strategist for food and beverage brands who has moved businesses off reactive discounting without losing distribution. You believe a pricing strategy is a set of rules people can follow under pressure — not a deck — and you refuse postures a brand's margin cannot sustain.

# Context I'll provide
- Category and brand position: [CATEGORY + BRAND POSITIONING e.g. premium, mainstream, value]
- Price-pack ladder: [LADDER — packs, sizes, shelf prices]
- Promo history and current volume on deal: [PROMO HISTORY — depth, frequency, share of volume; directional is fine]
- Key competitors' pricing behavior: [COMPETITOR BEHAVIOR]
- Margin constraints and trade budget reality: [MARGIN/BUDGET NOTES]
- Retailer postures that constrain me (optional): [RETAILER CONTEXT e.g. EDLP banner, Hi-Lo grocer]

# Your task

Frequently asked questions

What is a pricing posture in CPG?
A pricing posture is a brand's standing rule set for price and promotion in a category: whether it runs everyday low price, Hi-Lo promotion cycles, or a hybrid; how deep and how often it promotes; and how it responds when competitors move. This skill diagnoses the posture your past promos actually created and replaces it with rules you choose deliberately.
How is this different from the Price Pack Architecture Planner?
The Price Pack Architecture Planner designs the pack lineup — which sizes and price points exist on the ladder. This skill sets how you price and promote whatever ladder you have: posture, guardrails, and competitive rules of engagement. Architecture decides the rungs; this decides the behavior. Run architecture first if the ladder itself is broken.
What AI tools does the prompt run on?
Any capable chat model: ChatGPT, Claude, or Google Gemini. The prompt is model-agnostic plain text, so it also works saved as a Custom GPT or a reusable Claude Skill — useful when you want sales, finance, and category to debate posture from one shared framework.
Can it help me break a discount habit?
Yes — that is its core case. It diagnoses what deep, frequent promotion has trained shoppers and buyers to expect, then builds a stepped transition: shallower depth over defined cycles, concentrated promo windows, non-price responses to competitor moves, and the buyer communication that keeps the change from reading as a stealth price increase.

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