A mid$-$sized coffee company, Java Bliss, is planning to launch a new line of flavored cold brew coffees targeted at millennials and Gen Z consumers. The marketing team is uncertain about which flavors will resonate most with the target audience and how best to position the product in the competitive coffee market.

To make data$-$driven decisions, Java Bliss commissions a market research firm to conduct an advertising research study. The study involves:

Focus Groups to explore preferences for flavor profiles and branding concepts.

Survey Distribution to gather quantitative data on consumer preferences across regions.

A$/$B Testing to compare two advertising campaigns: one emphasizing the product$$s sustainability and the other focusing on its unique flavors.

The research firm provides the following initial findings:

The focus groups showed high interest in unconventional flavors, such as lavender vanilla and chili mocha.

The survey results indicate that $65\%$ of respondents value sustainability in coffee products, while $35\%$ prioritize bold and unique flavors.

A$/$B testing revealed that the sustainability$-$focused ad had a $20\%$ higher click$-$through rate, but the flavor$-$focused ad led to a $30\%$ higher purchase intent among viewers.

Based on the research findings, what should Java Bliss prioritize in its advertising campaign to maximize sales?

How could Java Bliss use the insights from the focus groups and survey data to tailor its product line for the target audience?

What additional research methods could Java Bliss employ to refine its advertising strategy and ensure effective market penetration?