USE CASE · PRICING & PACKAGING

Pricing decisions in days. Not 6-month consulting 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. Pricing experiments shipped in weeks, not quarters.

LivePricing model
Win/lossTracked
FasterRepricing
MarginDefensible
The problem

Pricing decisions take quarters. Markets move in weeks.

Pricing decisions are made by committee, with consulting firms, with quarterly reviews.

The data the committee needs is scattered: sales has win/loss in their CRM, product has feature usage in their analytics, customer success has account health in their tools, finance has the revenue impact in spreadsheets. Pulling it together takes weeks.

Competitive pricing intelligence is bought once and goes stale.

Pricing pages of competitors change quarterly, packaging restructures, discount norms shift. The committee makes decisions with last year's data while competitors are already on this quarter's pricing.

Sales loses deals on price and the team doesn't know why.

The rep says "we lost on price." Was it the headline number, the contract terms, the discount norm, the packaging, the procurement experience? Without segmentation, every loss looks the same and no signal compounds.

Pricing experiments take 6 months minimum.

Hypothesis, committee approval, sales enablement, customer comms framework, launch, measure, decide. By the time the result is in, the market has moved on. Pricing becomes the function that ships once a year, while everything else iterates monthly.

What changes with Amy

Pricing decisions in days. Experiments shipped in weeks.

01 · Pricing analysis from one source

Win/loss, feature usage, account health, competitive map all in one view.

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

  • Decisions in days, not quarters
  • Cross-team alignment by construction, not coordination meetings
  • Pricing committee focused on judgment, not data wrangling
02 · Competitive pricing kept current

Competitor pricing tracked continuously.

Pricing pages, packaging changes, discount norms, contract terms monitored. The committee makes decisions with this quarter's data.

  • Pricing decisions reflect the current market
  • Competitor moves recognised in days, not next year's review
  • Discount norms calibrated to what competitors are actually accepting
03 · Win/loss with real segmentation

Lost on price means something specific.

Headline, terms, packaging, discount, procurement experience each tracked separately. Loss patterns surface from real segments, not aggregate noise.

  • The right pricing problem solved, not just any pricing problem
  • Sales sees patterns that inform the next deal
  • Loss reasons compound into actionable signal
04 · Pricing experiments in weeks

Test, measure, decide in one quarter, not a year.

Hypothesis, sales enablement, customer comms, launch, measure. Built from the playbook. Pricing iterates at the cadence of everything else.

  • Pricing becomes a routine iteration, not an annual event
  • Hypotheses tested cheaply before full rollout
  • Pricing learnings compound across experiments
05 · Customer comms framework built in

Pricing changes that don't break customer trust.

Per-customer comms, grandfather clauses, migration paths, value justification. From the playbook, signed at the right level.

  • Customer comms reflect customer reality, not a generic announcement
  • Customer churn following pricing changes reduced
  • Value justification grounded in delivered outcomes
06 · Pricing strategy as a continuous capability

Not a function that ships once a year.

Continuous monitoring, continuous experimentation, continuous calibration. The pricing function iterates with the market.

  • Pricing strategy keeps pace with the market
  • Strategic pricing decisions defensible at every board review
  • Pricing committee adds value continuously, not quarterly
The strategic case

Shifts that turn pricing into a continuous capability.

From · today To · with Amy
Shift
From
To
Impact
Decision speed
Quarters. Consulting projects. Committee cycles.
Days. From the playbook, with the data unified.
Pricing decisions reflect current reality, not last year's market
Data unification
Sales, product, CS, finance data scattered. Weeks to pull together.
One view. Win/loss, usage, health, competitive map unified.
Decisions from signal, not opinion
Competitive intelligence
Bought once. Stale within a quarter.
Tracked continuously. Pricing pages, packaging, discount norms.
Decisions reflect this quarter's market, not last year's
Win/loss segmentation
"Lost on price." Aggregate. No specific pattern.
Segmented: headline, terms, packaging, discount, procurement.
The right pricing problem solved
Experiment velocity
6 months minimum. Hypothesis to result.
Weeks. Test, measure, decide inside a quarter.
Pricing iterates with the market
Customer comms
Generic announcement. Customer trust at risk.
Per-customer comms, grandfather clauses, migration paths.
Customer churn following pricing changes reduced
Sales enablement
Pricing change lands on the field with a kickoff. Reps wing it.
Sales enablement built into every pricing change. Reps trained before launch.
Pricing changes don't tank the next quarter's win rate
Strategic continuity
Annual pricing review. Function ships once a year.
Continuous monitoring, experimentation, calibration.
Pricing function adds value continuously
What your team gets

A pricing capability, not a once-a-year project.

One connected system that turns this into a defensible, scalable programme.

  • Pricing decisions in days, not quarters
  • Sales, product, customer success, finance data unified in one view
  • Competitive pricing tracked continuously
  • Win/loss segmented by the specific pricing dimension
  • Pricing experiments shipped in weeks, learnings compounded
  • Customer comms framework built into every change
  • Sales enablement built into every pricing launch
  • Pricing committee focused on judgment, not data wrangling
  • Pricing strategy keeps pace with the market
  • Pricing function adds value continuously, not annually
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. Pricing decisions become routine iteration.

Core agents

The specialists running the programme end-to-end.

The specialists supporting pricing strategy and execution.

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 agents

Extend the experience onto your website and into inbound.

Live pricing scenarios for buyers and customers.

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 agents

Included with every Amy deployment.

Included with every Amy deployment.

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

See the analysis and options live in 30 minutes.

Choose one pricing question on your committee's agenda. We'll build the analysis, model packaging options, and show the customer comms framework. Live, in the demo.

In your 30-minute walkthrough
  1. Win/loss, feature usage, account health, competitive map all in one view
  2. Competitor pricing tracked continuously
  3. Lost on price means something specific
  4. Test, measure, decide in one quarter, not a year