AI Agent Operational Lift for Better, Inc. in the United States

Why AI matters at this scale

better, inc. is a market research firm specializing in consumer insights and marketing analytics. With 201-500 employees, it sits in the mid-market sweet spot where data volumes are large enough to benefit from AI but resources are constrained compared to enterprises. The market research industry is undergoing a transformation as AI enables real-time analysis of unstructured data from surveys, social media, and customer interactions. For better, inc., adopting AI can differentiate its services, reduce operational costs, and unlock new revenue streams.

Concrete AI opportunities with ROI framing

1. Automated survey coding and sentiment analysis
Using NLP, better, inc. can automatically categorize open-ended survey responses and gauge sentiment. This eliminates hundreds of hours of manual work, allowing analysts to focus on strategic interpretation. ROI: With 25 analysts each saving 10 hours/week, annual savings could exceed $400k, while project turnaround times drop by 60%, increasing client satisfaction and repeat business.

2. Predictive analytics for campaign optimization
Machine learning models can forecast consumer behavior, such as purchase intent or churn probability, enabling clients to target high-value segments. better, inc. can package these models as a premium add-on, commanding 20-30% higher fees. For a client spending $1M on a campaign, a 5% lift in conversion rates translates to $50k in additional value, justifying the investment.

3. Generative AI for report generation and client queries
Large language models can draft research reports, create executive summaries, and power a chatbot that answers client questions using proprietary data. This reduces report creation time from days to hours and provides 24/7 self-service. Implementation could cut operational costs by 15% and free up senior staff for high-value consulting, potentially adding $1.5M to the bottom line.

Deployment risks specific to this size band

Mid-market firms often lack dedicated AI teams and must rely on third-party tools or consultants. Risks include data privacy breaches when handling sensitive consumer information, model drift if not continuously monitored, and integration challenges with legacy systems. Additionally, there’s a cultural risk: employees may fear job displacement. To succeed, better, inc. should adopt a crawl-walk-run strategy, starting with a low-risk NLP project, investing in data governance, and providing upskilling programs. Partnering with AI platforms that offer pre-built models for market research can accelerate time-to-value while keeping costs predictable.