The Problem With Most Product/Pricing Research
There are two hurdles of equal importance that trip up research based strategy – one technical, one human.
First, the models weren’t built for your category.
Most software and “best practices” were designed to work everywhere – which means they work nowhere in particular. I’ve watched well-regarded methods blow up in real-world situations too many times. At some point, you either quit or build your own IP. I chose the latter.
Second, strategy is a resource allocation decision – not just a math problem.
It involves people. Stakeholders. Politics. Constraints. A technically clean model that ignores the way decisions actually happen will fail, no matter how elegant the math looks.
That’s why Red Analytics exists: not to run “better surveys,” but to give decision-makers clarity when standard methods can’t.
How Red Analytics Approaches Product/Pricing
We start with the decision.
Not the survey, not the model. It is the moment leadership has to commit to a price, a pack, or a strategy. If the output doesn’t support that moment, it’s noise.
Most pricing models exist to check a box. They’re academically elegant, easy to ignore, and often leave decision-makers with less confidence than they had before.
Red Analytics exists for the moments when that approach fails.
The models we build aren’t generic. They’re built to survive internal pushback, reveal tradeoffs, and deliver what every decision-maker needs to move forward. (Hint: preference shares don’t cut it.)
Revenue Crafting: Models Built to Drive Decisions
Red Analytics is the home of Revenue Crafting – a category of pricing work built to do two things no off-the-shelf system can:
- Work when best practices break
- Foster the internal debates needed to get decisions made
Each tool below was created to solve a specific pricing failure in the real world:
- PPA EngineX
When price and pack size are entangled, most models give you an upside-down demand curve. PPA EngineX separates value from volume so your pack size and pricing logic actually holds up. - Price SenseX
Built to detect budget cliffs – the point where price resistance kicks in hard and you lose more than revenue. Most models smooth over these cliffs and miss the danger zone entirely. - Brand SignalX
For pricing perception shifts. Whether you’re repositioning a brand, introducing a premium SKU, or worried about price-based brand erosion, this tool tells you how far is too far. - Flavor PriceX
When niche flavors or variants show low demand, standard models treat them as low value. This tool isolates when low demand masks a small, high-WTP group – so you don’t discount what people would actually pay more for.
These tools aren’t academic or generic. They exist because clients needed answers when standard research gave them nothing but slides.
What It’s Like to Work With Red Analytics
When you work with me, there’s no handoff to a junior team. You get the person who builds the model, clears the fog, and helps you walk into the strategy meeting ready to make the call.
Red Analytics exists to support decisions – not create more slides. I help teams see the tradeoffs, anticipate failure points, and rally around a product/pricing strategy they can stand behind.
We run surveys, but only when they serve the decision. Every model is built to clarify the real conversation that’s going to happen behind closed doors – not avoid it.