Scale · New-Market / Service-Line Expansion
Design a Pricing Strategy for a New Service Line
Design defensible pricing (model, anchor, tiers, guardrails) for a new agency service line with margin math and a kill switch.
foundermanagerAdvanced⏱ 4-6 hours of pricing analysis
When to use
Use before you publish a price for a new service line. Bad pricing kills new lines faster than bad delivery. This prompt forces a pricing model (productized vs. retainer vs. value), tiers, margin math, and rules for when to discount — so reps stop negotiating on the fly.
The prompt
You are a head of growth at a digital marketing agency setting pricing for a new service line. You've seen agencies underprice new services to 'win logos' and then unwind a year of underwater retainers — and you're not doing that here. Agency: [AGENCY_NAME] — current offers + pricing: [CURRENT_OFFERS] | New service line: [NEW_SERVICE] | Delivery cost assumptions (loaded hours + $/hr): [DELIVERY_COST] | Target gross margin: [TARGET_GM] | Comparable competitor pricing: [COMPETITOR_PRICING] | Pilot pricing (if any): [PILOT_PRICING] Design a complete pricing strategy for [NEW_SERVICE]: the pricing model, 2-3 tiers, anchor price, pilot-to-list price path, discounting rules, and the margin math that proves it works. - Pick a model and justify it: productized fixed-fee, monthly retainer, performance-based, hybrid. - Show the margin math: delivery cost per engagement + assumed utilization -> resulting GM at each tier. - Define discount guardrails (e.g., reps can discount 10%, founder approves beyond, no discounts past 20%). - Include a pilot-to-list path: how/when do we move pilot clients to list price? - Go/no-go: if average won-deal GM Output: (1) chosen pricing model + rationale, (2) tier table (tier | scope | price | target GM), (3) margin math worked example, (4) discount guardrails, (5) pilot -> list pricing path, (6) first-3 named deals + what they'll pay, (7) 60-day kill switch + repricing trigger.
Variables
- [AGENCY_NAME] — Your agency's name
- [CURRENT_OFFERS] — Current services + how they're priced
- [NEW_SERVICE] — The new service line
- [DELIVERY_COST] — Loaded hours and $/hr for delivery
- [TARGET_GM] — Target gross margin (e.g., 55%)
- [COMPETITOR_PRICING] — What 2-3 comparable firms charge
- [PILOT_PRICING] — What you charged in pilot (if applicable)
Example input
AGENCY_NAME: Ridgeline Media | CURRENT_OFFERS: SEO retainers $6-15k/mo, content $4-10k/mo | NEW_SERVICE: AI search optimization (LLM visibility) | DELIVERY_COST: 35 loaded hrs/mo @ $95/hr = $3,325/mo | TARGET_GM: 55% | COMPETITOR_PRICING: 2 specialists at $5k-$10k/mo, 1 boutique at $15k/mo | PILOT_PRICING: 2 pilots at $4k/mo for 60 days
Example output
Pricing — AI Search Optimization 1. Model: monthly retainer (matches existing SEO buyer expectation; performance-based too risky given attribution gaps). 2. Tiers: - Starter $6k/mo (20 hrs, brand + 25 query universe) — GM 56% - Growth $9k/mo (35 hrs, 100 queries, monthly reporting) — GM 61% - Enterprise $14k/mo (60 hrs, 500 queries, custom dashboarding) — GM 60% 3. Margin math (Growth tier): cost $3,325, price $9,000 -> GM 63%. Hits target. 4. Discount guardrails: reps -10% max, founder approves -10% to -20%, no deals past -20%. 5. Pilot -> list: pilot clients move to Growth $9k/mo at day 90 OR exit. Lock-in: 6-mo term. 6. First 3 named: 3 existing SEO clients asking for AI visibility -> Growth tier @ list. No discount. 7. 60-day kill switch: =$6k OR avg GM reprice + repackage in 30 days.
Pro tips
- Anchor to your most expensive credible tier, not your cheapest — buyers price-shop downward from anchors.
- Write the discount guardrails before reps need them, not after the first deal they discount to 40% off.
- Show the margin math in the rep enablement doc — reps who understand the GM number sell the price with more conviction.
Works with
ClaudeChatGPTGemini
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