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Megan Daniels

CEO

Megan Daniels

Megan has more than 20 years of research experience at Forrester, Phoenix and MarketCast. She has led more than 60 analysts delivering research for AT&T, eBay, P&G, Microsoft and Liberty Mutual. Her expertise includes design, analysis, programming and fieldwork.

ExpertiseResearch leadership, study design and delivering research for clients.

Articles by Megan

70 published articles · Page 6 of 7

MX8 Labs Surfaces Generational Differences In Online Shopping Behavior

Marketing firm Wunderkind engaged MX8 Labs in January 2025 to survey online shoppers seeking to gain insight on how retailers and brands can better attract and retain customers in the fashion, apparel, jewelry, and accessories categories. Once published, the findings were covered by several industry verticals, including: Generational differences govern online fashion shopping behavior: report (\Fashion Dive, \02/24/2025)

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Cord-Cutting Survey from MX8 Labs IDs Netflix As Streaming's Biggest Winner

With viewers increasingly tuning into streaming platforms to watch their favorite programming, interest grows along with it to determine which servies are standing out among them. We conducted a longitudinal tracking poll of 7,000 U.S. consumers age 18 and up to learn which streaming platform ranked best by viewer responses, with Netflix emerging as the clear winner. Media Buying Briefing: Comparing/contrasting Publicis’ and Omnicom’s 2024 results and fortunes ahead (\Digiday, \02/10/2025)

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MX8 Labs Provides Crucial Big Game Audience Insights

The Super Bowl is the most-watched TV event of the year, making audience insights before, during, and after the game critical to the brands paying top-dollar for ad placement in and around the spectacle. Before this year’s game, we were tasked to determine the viewing plans of different age groups, unveiling some surprising results: Only 44% of young adults planning to watch Super Bowl, survey shows \ (Study Finds, \02/07/2025)

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Maximizing Efficiency in Market Research: A Practical Guide to Calculating ROI with AI

Adopting an AI-driven platform in market research brings significant improvements in speed and scalability, but it’s the return on investment (ROI) that often captures leadership’s attention. Calculating ROI for an AI platform involves understanding the direct cost savings from reduced staffing and increased efficiency, as well as the indirect benefits like faster project delivery and higher data accuracy. Let’s explore a sample scenario to illustrate how an AI-driven platform can drive meaningf

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Reimagining Market Research Teams: Building an Agile, Scalable Organization with AI

AI is transforming market research organizations by enabling them to become more agile and scalable. With traditional research structures, organizations often struggle with rigid workflows and slow processes, making it challenging to meet client demands for quick, high-quality insights. AI-powered platforms offer an alternative by automating labor-intensive steps, freeing up teams to focus on analysis and strategic decision-making.

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Bridging the Gap: Integrating AI into Traditional Market Research Workflows

Artificial Intelligence (AI) offers unparalleled potential to transform market research by automating complex tasks, enhancing data analysis, and providing deeper insights. However, integrating AI into traditional market research workflows is far from straightforward. The complexity of this integration poses significant challenges, often leading to disruption and inefficiencies rather than the intended benefits.

Read article: Bridging the Gap: Integrating AI into Traditional Market Research Workflows