AI Reshapes B2B Buying Journey; New Research Coming
Key takeaways
- AI is fundamentally altering the B2B buying journey.
- AI assistants are becoming part of the decision process.
- New research will explore how buyers discover brands with AI.
- Adapting sales and marketing strategies is crucial.
Who benefits
Summary
AI is fundamentally changing how B2B buyers discover brands, especially as AI assistants become integrated into the decision-making process. New research on this topic will be presented in an upcoming event with Intercept on August 11.
Why it matters
Professionals in B2B sales and marketing need to understand how AI influences buyer behavior to adapt their strategies, optimize brand visibility, and effectively engage with prospects in an AI-augmented purchasing environment.
How to implement this in your domain
- 1Attend the upcoming research presentation to gain insights.
- 2Analyze current B2B buyer journeys for AI integration points.
- 3Develop strategies to ensure brand visibility to AI assistants.
- 4Train sales teams on engaging with AI-informed buyers.
Original post by @MktgAi
"AI is reshaping the B2B buying journey. How do buyers discover brands when AI assistants become part of the decision process? Join us with Intercept for exclusive new research on August 11:"
View on XOriginally posted by @MktgAi on X · view source
Want to go deeper?
Turn these trends into skills with Learnijoy's hands-on AI & tech courses.
Explore coursesMore in AI in Sales
Selling AI to SMBs: Target Problem-Hiring Businesses
To effectively sell AI solutions to cash-strapped, time-limited, and skeptical SMBs, the strategy involves targeting businesses actively hiring for problems that technology can solve. The LassieAI team successfully used this approach by finding early customers through job postings on Indeed.
Automate Customer Retention with No-Code AI in Amazon Quick
This guide explains how to build a no-code customer retention pipeline in Amazon Quick, which identifies at-risk customers from call transcripts and CSAT data, prioritizes them using a custom MCP Action, and generates personalized retention letters, drastically cutting response times.
GrocLM Boosts E-commerce Grocery Recommendations with LLMs
GrocLM is a fine-tuned large language model designed for grocery category recommendation in e-commerce, using a two-stage LoRA-based training strategy to capture cyclical purchasing patterns. It significantly improves cart-adds per impression in live production while maintaining efficient inference.