Build the right product for the new market.
Innovation works best when it starts with what people actually want. This use case shows how an innovation center used monthly demand data from what people search and say to validate the market and pivot to a different product for launch. The team began with one flavor and pack in mind. The data showed a different flavor rising and strong intent for a smaller trial pack at a clear price point. They adjusted the plan, picked the right month and regions, and launched with fit. The result was simple. Less time collecting data and marketing spend that worked twice as hard. If you choose flavors, packs, or launch windows, this is your playbook to build what people are already looking for.
The question
What flavor and pack should we launch first in a high-growth market, and do we have the right product at all?
The problem
The first plan aimed at Flavor A in a standard pack. Early signals were mixed. Focus groups were slow, and the calendar window was closing. The team needed a faster, broader read to confirm the product or change course.
What the team analyzed with MyTelescope
Rising flavor themes by city and region
Related recipe and pairing searches that hint at taste direction
Pack size and price point interest including trial and family sizes
Timing windows such as festivals, heat or monsoon periods, and payday cycles
Regional hotspots with stronger pull
What the team found
Flavor B showed the strongest month over month rise in multiple regions
Trial packs at a specific price point showed the highest intent to try
A better launch month appeared around cultural and weather moments
What the team changed
Product direction: replaced the original plan with a new product fit for the market
Flavor choice: launched Flavor B first and kept Flavor A as a follow-on test
Pack plan: led with a small trial pack at one clear price point
Where and when: prioritized regions with the strongest pull and launched in the month with the best intent
Message: used the words people were already searching for in ads, pages, and retail materials
ROI
Saved time collecting the data with one monthly view the whole team could use
Marketing effectiveness doubled because the product, pack, region, and month matched real demand
Launched a product there was actual demand for.
Run this play:
List the flavors and pack sizes you are considering
Pull this month’s rising flavor themes and related recipe searches
Identify the pack sizes and price points with the most intent
Mark the regions with the strongest pull and the best month to launch
If the data points away from your first idea, pivot and launch the product that fits
Measure results and repeat next month
Monthly watchlist
Top rising flavor terms and recipe pairings
Pack sizes and price points gaining interest
Regions moving up or down
The best month to launch or relaunch