For the Pricing Strategy Manager

Pricing decisions in days.
Not six-month projects.

Pricing scenarios, packaging strategies, and competitive pricing analysis grounded in real customer data, win/loss patterns, and market benchmarks. Pricing committees making decisions on signal, not opinion.

DaysDecision turnaround
WeeksExperiments shipped
LiveCompetitive pricing
SignalNot opinion
Book a demo → See what changes ↓
Who this is for

You own pricing strategy. Packaging decisions, discount frameworks, competitive pricing analysis, list-price reviews, customer migration plans. The reality is data scattered across sales, product, customer success, and finance. Competitive pricing intelligence bought once and stale within a quarter. Pricing experiments that take six months to run.

Amy turns pricing into a continuous capability — decisions in days, experiments in weeks, learnings that compound.

What changes with Amy

Six shifts that make pricing
a continuous strategic capability.

Win/loss, feature usage, account health — all in one view. Decisions in days.

Pricing committee sees the same evidence, makes decisions from signal not opinion.

  • Cross-team alignment by construction, not coordination
  • Committee focused on judgment, not data wrangling
  • No more Friday afternoon of exports before the pricing meeting

Competitor pricing changes recognised in days, not next year's review.

Competitor pricing pages, packaging changes, and discount norms monitored continuously.

  • Pricing decisions reflect the current market, not last year's research
  • Discount norms calibrated to what competitors actually accept
  • Intelligence bought once and maintained automatically

Headline, terms, packaging, discount, procurement — each tracked separately.

"Lost on price" means something specific. Loss patterns from real segments.

  • Sales sees patterns that inform the next deal
  • Loss reasons compound into actionable signal
  • Segment-level loss patterns, not top-level "lost on price"

Hypothesis, enablement, launch, measure — built from the playbook.

Pricing iterates at the cadence of everything else. Hypotheses tested cheaply before full rollout.

  • Pricing becomes routine iteration, not an annual event
  • Learnings compound across experiments
  • No more six-month projects for one pricing change

Pricing changes that do not break customer trust.

Per-customer comms, grandfather clauses, migration paths, value justification — from the playbook.

  • Customer churn following pricing changes reduced
  • Value justification grounded in delivered outcomes, not generic claims
  • Every segment gets comms that reflect their actual situation

Continuous monitoring, experimentation, and calibration. Not once a year.

Pricing strategy keeps pace with the market. Strategic decisions defensible at every board review.

  • Strategic decisions defensible at every board review
  • Pricing function adds value continuously, not quarterly
  • Intelligence compounds — each quarter's data sharpens the next decision
The agent network

Specialist agents. Working as one network.

Pricing as a continuous capability needs a network where win/loss data, feature usage, competitive intelligence, and customer comms all draw from the same playbook.

Core agents

The specialists running pricing end-to-end.

Each owns one function. They share work through the Knowledge Hub.

Pricing Agent

Pricing scenarios, packaging options, competitive analysis, discount frameworks, experiment design.

ROI Agent

Customer-specific ROI models, business cases, value justification frameworks.

ICP Agent

Segment analysis: which segments respond to which packaging.

Battlecard Agent

Competitive pricing intelligence, packaging comparisons, discount norms.

Sales Enablement Agent

Sales training on pricing changes, objection handling, discount escalation.

Email Agent

Customer comms for pricing changes, executive escalations, segment-specific notifications.

Product Marketing Agent

Value proposition tied to pricing; packaging story for sales and customers.

Customer Advocacy Agent

Customer reference programme for value justification.

Survey Agent

Customer willingness-to-pay surveys, packaging preference research, post-change feedback.

Campaign Agent

Pricing change campaigns: customer comms, sales kickoffs, partner notifications.

Business Analyst Agent

Pricing experiment design and measurement, revenue impact modelling.

Embeddable

Voice and chat showing buyers their price.

Deployed where buyers research, price-check, and evaluate.

Solution Advisor Agent

Live pricing scenarios for buyers; multi-site, sequential, packaging options.

Discovery Agent

Pricing-related qualification: what they're budgeting, what they're comparing.

Demo Agent

Demos showing the features tied to specific packaging tiers.

Knowledge Base Agent

Self-serve pricing information for customers and prospects.

Foundation

Included with every Amy deployment.

Shared knowledge, analytics, and brand layer.

Company Dossier Agent

Pricing history, packaging decisions, customer-specific arrangements.

Business Analyst Agent

Pricing analytics, win/loss attribution, segment performance, experiment results.

Brand & Theme Agent

Brand consistency across every pricing-related output.

Pick one pricing question

Analysis built. Committee ready.

Choose one item on your committee's agenda. We will build the analysis, model packaging options, and show the customer comms framework — live, in the demo.

Book a demo → Talk to sales →
In your walkthrough
  1. Pricing analysis built from win/loss, feature usage, and competitive data
  2. Packaging scenarios modelled with revenue impact and win-rate forecast
  3. Customer comms framework demonstrated for a pricing change scenario
  4. Competitive pricing intelligence updated from live monitoring