GUESTS & RESOURCES
- Doug Bell: Website // LinkedIn
- The Voices of Search Podcast: Email // LinkedIn // Twitter
- Benjamin Shapiro: Website // LinkedIn // Twitter
In today’s episode host Ben Shapiro speaks with Searchmetrics’ CMO Doug Bell about how search data can address the challenges of conducting accurate and timely market research. In part two of their conversation they discuss how to categorize base datasets and determine a timeframe for how fresh data remains until it becomes outdated.
Obtaining accurate, timely, and relevant market research is a challenge both small and large companies face. Both small and large companies benefit from creating a base dataset that first examines consumer search intent by categories. Categories are essentially the keywords users search by, such as stainless steel dishwashers, and is the basis for organizing and examining both consumer and competitive data.
The freshness of market data on average is between six to 12 months before it becomes outdated. Volatile markets like ecommerce require performing market data research quarterly in order to stay up to date with the latest developments.
Ultimately, structuring data research using category-based datasets along with performing routine data research to address market volatility is key to ensuring your data remains timely and accurate.