Competitive Pricing Intelligence Tracker
Track competitor pricing moves as ongoing intelligence, not a one-time price check.
What is the Competitive Pricing Intelligence Tracker?
The Competitive Pricing Intelligence Tracker is a free AI skill that turns observed competitor pricing and promotion moves into structured ongoing intelligence for food and beverage insights and category teams. You paste in what you've observed — a price change, a new promo cadence, a pack-size shift — for one or more named competitors, along with the period and market; it returns a read on what actually changed, the likely strategic reason behind the move, what it signals about the competitor's broader pricing posture, and the specific things to watch next to see if the move sticks or reverses. It is built for teams maintaining a running competitive-pricing watch, not making the pricing decision — this skill feeds that decision with organized, dated intelligence rather than making the call. Because every entry captures what changed and why it might matter, the tracker builds into a usable history over time. Reviewing the read against live food and beverage demand data helps confirm whether shoppers are actually responding to the competitor's move.
Who it's for
- Insights analysts maintaining a competitive pricing watch list
- Category managers feeding intelligence into pricing decisions
- Revenue and pricing teams tracking a specific rival's moves
- Sales teams prepping for a buyer question about a competitor's price
What you get
- A read on exactly what changed in the competitor's pricing or promo
- The likely strategic reason behind the move
- What it signals about the competitor's broader pricing posture
- Specific things to watch next to confirm or disconfirm the read
- A dated intelligence entry ready to add to a running log
- A flag on any read that is speculative versus directly observed
How to use it
- 1Paste the prompt into ChatGPT, Claude or Gemini.
- 2Describe the observed pricing or promo move and fill in the brackets.
- 3Answer its clarifying questions about what you directly observed versus heard secondhand.
- 4Log the output and re-run it each time you spot a new move.
See it in action
Example input
Observed: fictional 'Northgate' frozen pizza dropped its everyday shelf price from $6.99 to $5.99 at two grocery chains in the Midwest, and increased promo frequency from monthly to twice-monthly over the last 6 weeks. We're fictional 'Solano Kitchen', a premium frozen pizza brand at $7.49, and want to know if we need to respond.
Example output
Competitive pricing intelligence entry — Northgate frozen pizza, Midwest, last 6 weeks What changed Two distinct moves, and they should be read separately: an everyday shelf price cut ($6.99 to $5.99, a 14% reduction) and a doubling of promotional frequency (monthly to twice-monthly). A base-price cut and a promo-frequency increase signal different strategic intents, so don't fold them into one "Northgate is getting aggressive" headline yet. Likely strategic reason The combination — permanent price down AND promoting more often — looks like a share-capture play rather than a short-term clearance or inventory move. A single deep promo suggests moving product; a sustained lower base price plus more frequent promotion suggests Northgate is repositioning toward a more aggressive value stance in this market, possibly in response to private-label pressure or a cost advantage they're passing through. Treat "repositioning toward value" as the leading hypothesis, not a confirmed fact — a two-chain, six-week observation window is a real signal but not yet proof of a full repositioning. What it signals about their broader posture If this holds beyond the two chains and beyond six weeks, it suggests Northgate sees Midwest frozen pizza as a share-growth priority and is willing to fund it with both price and promotion — a more resourced push than a single-lever move. Worth checking whether this is happening in other regions or just this one, since a regional test often precedes a wider rollout. What this means for Solano Kitchen specifically Your $7.49 premium positioning was already $0.50 above Northgate's old price; the gap has now widened to $1.50 on everyday price, before promotion is even factored in. The question isn't whether to match Northgate dollar-for-dollar — premium brands rarely win a pure price war — it's whether your premium cues (ingredient story, format, provenance) still justify a now-wider gap to your specific shopper, or whether the gap has crossed a threshold where even loyal buyers start trading down. That threshold question needs your own price-gap elasticity read, which this entry cannot answer alone. Things to watch next 1. Whether the $5.99 price holds past 8-10 weeks — a true repositioning sticks; a promotional or inventory-driven cut typically reverts. 2. Whether the twice-monthly promo cadence spreads to other Midwest chains or stays confined to the two observed. 3. Any signal of the same move appearing in other regions, which would confirm a national repositioning rather than a regional test. 4. Your own share and velocity in the affected chains over the same window, to see if the gap widening is actually costing you volume yet or is still a paper threat. Confidence note This entry is built entirely from your two-chain, six-week observation. Everything above the "what changed" section is inference, clearly labeled as such — do not present the strategic-reason or posture-signal sections to leadership as confirmed fact without at least one more observation cycle. Want this logged in a standard format so you can track Northgate's next move against this baseline?
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 competitive pricing intelligence analyst for food & beverage. You build a running, dated read on competitor pricing and promotion moves, keeping observed fact clearly separate from strategic inference. # Context I'll provide - Competitor and product: [COMPETITOR / PRODUCT] - What was observed: [OBSERVED MOVE — price change, promo frequency, pack-size shift] - Market, channel, retailers observed: [MARKET / CHANNEL / RETAILERS] - Time window: [TIME WINDOW] - Our own brand and position: [OUR BRAND / POSITION] - What we already suspect (optional): [HYPOTHESES] # Your task
Frequently asked questions
- What is competitive pricing intelligence tracking?
- Competitive pricing intelligence tracking is the ongoing practice of logging and interpreting competitor price and promotion moves as they happen — what changed, why it likely happened, and what to watch next — so a team has organized, dated intelligence to draw on rather than reconstructing history from memory when a pricing decision comes up. This skill turns a single observed move into a structured intelligence entry.
- How is this different from the Pricing Strategy Framer skill?
- The Pricing Strategy Framer sets your own brand's pricing and promotion posture — the actual strategic decision, with guardrails and rules of engagement. This skill is upstream of that decision: it tracks and interprets what competitors are doing as ongoing intelligence, an input the pricing strategy should account for rather than the strategy itself. Use this skill to build the competitive picture over time, and the Pricing Strategy Framer when it's time to decide your own posture.
- Which AI models can run this prompt?
- Any capable chat model — ChatGPT, Claude, or Google Gemini. The prompt is model-agnostic, so paste it into a chat as new moves are observed, or save it as a Custom GPT or reusable skill so every competitor observation gets logged in the same structured format for an easy-to-scan intelligence history.
- Does this need syndicated pricing data to work?
- No — it works from what you directly observe: a shelf-price check, a promo flyer, a distributor note, or a retailer visit. Syndicated pricing data makes the read sharper if you have it, but the skill is built to take a single observed move and turn it into structured intelligence either way. It will not invent competitor figures you have not provided, and it clearly separates what you actually saw from what it is inferring about strategy.
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