Product Component Optimization

“RTi is a trusted and valued business partner. The RTi team consistently adds value to the research process, and more important, to the interpretation and analysis of data. Their work is consistently high and their perspectives fresh and unique.”

Director, Consumer Insights,
CPG
“We value the business relationship that we have with RTi. Their work is of the highest quality at a reasonable price. They took the time to learn our business to become an essential partner in making our business grow.”

Market Research Manager,
CPG
“Working with RTi was wonderful … proactive in anticipating potential issues, providing solutions and making sure everyone was aligned before moving forward.”

Sr. Manager, Consumer Insights,
Food & Beverage
"Rothstein-Tauber (RTi Research) is a terrific supplier, very insightful, and highly strategic."

Marketing Research Director, Major Food Manufacturer
"Thanks so much for the great work that you guys do. It’s always a pleasure to work with RTi!!! You guys are heads and shoulders above your competition!"

Consumer Insights Manager, Major Snack Food Manufacturer
“RTi’s expert staff provides high-quality service from the initial research proposal through the final report. They are dependable, extremely knowledgeable about methodologies, and go the extra mile to work through complex issues or challenges.”

Market Research Manager,
CPG
I wanted to take a moment to thank you from the bottom of my heart for all the hard work on your end. We couldn’t have done this without you! I genuinely appreciate all your efforts and I did not want your support to go unnoticed.

Not only are you wonderful people, but have been excellent performers on this specific 'HUT'. I cannot thank you enough! The hard work has paid off with the very positive results.

Thank you again so much….

Product Development Manager, Major Food & Beverage Manufacturer
“I rely upon RTi’s expertise to guide me through difficult studies and uncover insights to help drive our decision making. I always know I can depend on them to do an excellent job.”

Market Research Manager,
CPG
“RTi left no stone unturned to make sure we were getting exactly the right people and answering the right questions – all under a very tight timeline. They did a terrific job and the results have been embraced into the plan.”

Sr. Manager, Consumer Insights,
Food & Beverage
“I've worked with RTi on a wide range of custom research initiatives. RTi is customer service–oriented and delivers reliable results on-time and on-budget. Their staff is knowledgeable, thorough, and easy to work with.”

Market Research Manager,
CPG

Product Component Optimization: Finding the Ideal Combination

Savvy marketers know that when it comes time to put all the components of a new product together, consumer insight is valuable.

But, the savvy researcher knows that traditional monadic testing of each individual component is not only time consuming and expensive; it doesn’t take into account interaction effects among components and provide that critical holistic view.

Whether optimizing the components of a new or reformulated food or beverage (when RTi can actually include taste as one of the components tested) or fine-tuning the value proposition of a new banking product, RTi researchers are experts at leveraging choice-based techniques and modeling to provide quantitative guidance in the early product development stage.

Adaptive Conjoint (ACA) — handles a large array of components
Discrete Choice (CBC) — closer to real purchasing, and handles price well
Adaptive Discrete Choice (ACBC) — handles a large array of components, offers component level pricing and can replicate real purchasing

Oftentimes, RTi designs a Component Optimization test so that it incorporates a full product test, eliminating the need for additional research later and reducing our client’s research spend. And adding to the ROI, we provide a powerful and highly user-friendly simulator. It’s so simple to use that what-if scenarios can be input and run during meetings, and powerful enough to automatically determine and display the optimal bundles among any identified subgroup.