Marketing & pricing science

We break through the hard marketing and pricing problems your teams are stuck on.

You want to drive more marketing and pricing efficiency, but your teams are stuck. These problems demand advanced measurement and algorithmic design — built on a sound scientific foundation and stress-tested in the real world. We design systems custom to your business, so you get a competitive advantage you own, not another tool you rent.

We take on the hardest questions — and we only work with you when we’re confident we can add tremendous value.

Founder’s work spans measurement, pricing & ad systems built at
ZalandoBooking.comMicrosoftExpedia / VrboYahoo
Marketing

What are real solutions to driving better marketing efficiency?

The truth: if there were an easy fix or a piece of software you could buy, you’d already have it. The foundations of an elite marketing department are harder-won — exploiting returns-elasticity differences across spend, optimizing the conversion signals you send ad platforms, generating reliable estimates of brand-spend impact, and designing a forward-looking ROI metric. We help you build them.

Pricing

How do you improve net margins without sacrificing sales volume?

Pricing science is about targeting discounts where they create the most impact — but ripping out your pricing stack to bolt on “AI pricing” is rarely the sensible move. We build solutions grounded in cutting-edge science that integrate cleanly into your existing stack, giving you a fast test-and-improve cycle instead of a risky rebuild.

Why both, together

“Is it our pricing, or is it our marketing?”

Most teams can’t answer this — the two live in separate orgs, measured in different currencies, optimized against different targets. We work across both on a single logic: marginal return per dollar. That’s how you get a straight answer, and how you know when to intervene with price or selection instead of just spending more on marketing.

The model

Not another SaaS platform. Systems you own.

Enterprises don’t want to rent their competitive advantage from an unknown vendor. We build custom systems inside your stack — and you own the code, the models, and the IP. It’s the opposite of buying a black box.

Own your advantage

Custom systems become your IP and a durable edge competitors can’t buy off a shelf.

No vendor lock-in

You keep the code and the models. No platform dependency, no data held hostage.

No perpetual license

Build a capability once — don’t rent it forever. No compounding, open-ended SaaS cost.

Built for you, not sold to you

We start from your problem, not from a product we’re trying to make you fit.

Marketing

We support the big strategic questions and opportunities you have.

01
How should we set channel and country budgets to maximize long-term growth while balancing profitability?
02
Where is the efficient marketing mix — and how much efficiency are we leaving on the table?
03
How do we measure brand marketing credibly and transparently, and compare it to digital on a level playing field?
04
How do we fold forward-looking customer value into ROI — so we invest in loyal customers, not just transactional volume?
05
How do we maximize efficiency on tROAS / tCPA bidding and take back control of the optimization?
06
How do we balance new-customer acquisition against existing-customer retention?
How we solve them

For every one of these, we combine hardened scientific methods with years of experience actually running marketing at large enterprises. That pairing is rare: someone deeply technical who has also run billion-dollar channels. It’s exactly what lets us unstick a team that’s been stuck — bringing both the strategy and the engineering, not one without the other.

Explore marketing →
Pricing

Are you sitting on a pricing system you know could be far more efficient?

01
Which products are you losing margin on through unnecessary discounts?
02
Which products are most impactful to include in sales events and discounting?
03
How do you stay competitive without cutting price just because a competitor is clearing overstock?
04
How do you forecast overstock risk and manage discounts to maximize “stock lifetime value”?
05
How do you use price elasticity to build safer stock positions, movable with smaller cuts if needed?
06
How do you move from a manual, inefficient pricing process to a tunable algorithm? Flagship
How we solve them

The short version: you know the system could be far more efficient, but technical and strategic blockers are in the way. We bring both — real pricing strategy and the engineering to build it — designing the systems you need and testing them rigorously before they ever touch revenue.

Explore pricing →
Where you are today

Best-in-industry measurement can’t be bought. It has to be built.

An honest read of where your measurement culture sits is where every engagement starts. Most companies plateau at “well-tooled.” The jump beyond it is organizational, not procurement.

C – F

Siloed & unmeasured

  • Last-touch / platform attribution; channels judged in isolation
  • Platform-default bidding and targeting
  • No incrementality testing of any kind
  • Budgets set by precedent and industry comps
B

Informed & well-tooled

  • MMM plus bought point solutions, mostly default configs
  • Heuristic segments, not LTV-validated
  • Incrementality testing exists, but ad hoc
  • Measurement is finance-driven
A

A measurement culture

  • Standing capability to design novel tests per channel
  • Marginal-ROI curves, continuously recalibrated, drive allocation
  • Data-derived segments, expected to evolve
  • Shared measurement governance across the org

C→B is buyable — tooling, hygiene, procurement. B→A is cultural — the standing capability to keep inventing bespoke measurement as your business and channels change. No vendor tool ships it off the shelf. We help you do both, and we’re honest about which is which.

How we work

Built around trust and realism.

We don’t arrive pitching a piece of software we’ve already built. We start with a deep assessment of your needs and opportunities, size the prize, and right-size the solution to it — then use leading-edge, proven techniques to drive efficiency you can measure and own.

01

Assess

A structured diagnostic of what you can answer today, where the biggest impact sits, and what’s actually worth building. No assumed solution.

02

Size the opportunity

Quantify the upside before committing engineering. Complexity is matched to value, never the reverse.

03

Build — for you or with you

Delivered as a service, or built shoulder-to-shoulder with your teams so the capability stays in-house.

04

Validate & hand over

Every result is tested — geo holdouts, incrementality, A/B validation. You keep the model, the code, and the intelligence.

Who you work with

Senior expertise, backed by a team that ships.

Justin M. Rao, Ph.D.
Founder & CEO

A technical practitioner who has also run the org — the combination most measurement shops can’t offer.

  • VP Pricing, Performance Marketing & Economics, Zalando — ~300-person org, ~€650M budget, ~€3B in discounts
  • Senior Director, Performance Marketing, Booking.com — ~€1B budget, RL-based bidding systems
  • Senior Researcher, Microsoft · VP Data Science, Vrbo (Expedia)
  • Ph.D. Economics, UC San Diego — 9,500+ citations, h-index 27
The Gencomm dev team
Delivery & engineering

When a project needs to move faster, we bring in experienced developers to accelerate it.

  • We work inside your code stack, not around it
  • You own everything we build — models, code, and documentation
  • We design for smooth handoffs, so the capability stays with your team
  • Rigorous testing and validation are part of every delivery

Who we work with. We currently partner with a small number of €3B+ revenue European businesses. We don’t publish client logos — discretion is part of how we work, and it’s why serious teams trust us with their pricing and measurement. We’ll speak to directly relevant experience with you in a first conversation.

Track record

Methods with a validated, disclosed impact.

€50M+
Annual EBIT from an A/B-validated elasticity-driven pricing algorithm
€100M+
Annual EBIT from marginal-ROI bidding systems across marketing channels
€650M
Performance-marketing budget under algorithmic management
9,500
Citations across peer-reviewed research; h-index 27

Figures reflect work led by Gencomm founder Justin Rao in senior roles at Zalando and Booking.com, including impact highlighted in public-company earnings calls. Peer-reviewed work appears in the Quarterly Journal of Economics, Journal of Political Economy, Marketing Science, and Management Science.

Get started

Find your biggest, most provable wins.

Book an assessment and we’ll map where your marketing and pricing stand today — and where the upside is. We reply within one business day.

Book an assessment →

We only take on work where we’re confident we can add tremendous value.

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Core

€500

per month

Features

Performance and Scale

Custom ML Modeling

Integrations

Support

Pro

€2500

per month

Everything in Core, plus:

Performance and Scale

Custom ML Modeling

Integrations

Support

Enterprise

Negotiated

Everything in Pro, plus:

Performance and Scale

Custom ML Modeling

Integrations

Support

Core

€500

per month

Features

Performance and Scale

Custom ML Modeling

Integrations

Support

Pro

€2500

per month

Everything in Core, plus:

Performance and Scale

Custom ML Modeling

Integrations

Support

Enterprise

Negotiated

Everything in Pro, plus:

Performance and Scale

Custom ML Modeling

Integrations

Support