Marketing and product teams: testing ideas before launch
Neon Blue builds simulations of human behavior. These guides show how marketing and product teams put a decision in front of a simulated audience first, by use case, by role and by category.
- How do subscription apps research pricing and paywalls?
How subscription app teams research plans, trials, annual vs monthly pricing and cancel reasons before changing them, with a worked study and output layout.
- How do you do market research for a food or beverage product?
How food and beverage brands research a new product: flavor and concept reads, pack price, name tests and the shopper cuts that matter, with a worked study.
- How do game studios research players before launch?
How game marketing and product teams research players before launch: concept and trailer reads, store page tests and in-game offer research, before playtests.
- How do restaurant brands research guests before a menu or price change?
How restaurant marketing teams research guests before changing a menu, a price tier or a value deal, with the guest cuts that matter and a worked study.
- How do retailers test assortment, pricing and promotions with shoppers?
How retail and ecommerce marketing teams test assortment, promo depth, private label and loyalty perks with shoppers before rollout, with a worked study.
- How do travel and hospitality brands do market research?
How airline, hotel and travel marketing teams research fares, packages, loyalty perks and seasonal campaigns with travelers before launch, with a worked study.
- What research does a brand manager need before a launch?
A brand manager's pre-launch research calendar: which study to run at each stage gate, what each one decides, and how Neon Blue fits between live studies.
- How do growth teams test ideas before an A/B test?
How growth teams pre-screen offers, paywalls, pricing and onboarding ideas so scarce A/B test slots go to the strongest variants, with a worked example.
- How are insights teams using AI for consumer research?
Where AI fits in a consumer insights team: drafting, coding open ends, simulated audiences, what stays with live research, and how Neon Blue fits the stack.
- How do product marketers research positioning and messaging?
A product marketer's research workflow from buyer persona to positioning, message test and launch readout, with one study per step and how Neon Blue fits.
- How do you run a brand tracking study?
How to set up a brand tracker: the core funnel questions, wave timing, how to read small moves, and where a Neon Blue simulated wave fits between live waves.
- How do you choose the right marketing channels for a campaign?
How to choose marketing channels with audience research: where your buyers notice and trust a message, how often they need to see it, and a worked example.
- How do you test positioning and a value proposition?
How to test positioning statements and a value proposition with buyers: what to measure, a scorecard for three options, and how Neon Blue runs the test.
- How do you measure purchase intent for a new product?
How to measure purchase intent: the 5-point scale, reading top-box scores, when stated intent tracks real buying and when it doesn't, with a worked example.
Questions marketing and product teams ask
- How do you build a synthetic audience of your customers?
How to specify a synthetic audience of your customers: who to include, which traits to set, how to match census targets, and the checks to run before using it.
- How do you implement AI in a marketing research team?
A 90-day plan to get AI and simulated audiences adopted in a marketing org: pick a pilot decision, run side by side, set rules, then roll out.
- How do you measure willingness to pay in a survey?
Direct and indirect ways to measure willingness to pay, the exact question wording for each, why stated prices run high, and how Neon Blue runs a WTP study.
- How do you set the price for a new product?
How to set a new product's price: find the cost floor, the reference price and the value ceiling, then use buyer research to choose inside that band.
- How do you test a landing page before launch?
How to test a landing page before it gets traffic: the five-second read, headline and proof checks, which variant goes to the A/B test, and a worked example.
- What questions should you ask in a concept test?
A 10-question concept test questionnaire with answer scales, why each question is there, wording traps that skew answers, and what to cut.
Also browse: use cases, roles, categories.