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Keyplay
Leverage AI to help B2B teams identify, score, and prioritize ideal customer profiles for more effective sales and marketing strategies.
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Today’s AI Tool is Keyplay
TLDR
Keyplay leverages AI to help B2B teams identify, score, and prioritize ideal customer profiles for more effective sales and marketing strategies.
Problem It Addresses
Sales and marketing teams often waste time and resources targeting broad or misaligned leads due to poor data quality and generic audience segmentation. Traditional databases lack the intelligence to uncover truly relevant prospects and personalize outreach at scale.
Solution
Keyplay utilizes AI-driven agents to analyze various signals—such as hiring trends, technology stacks, and company activities—to build dynamic ICP models. These models enable teams to prioritize accounts more effectively, ensuring that sales and marketing efforts are focused on high-potential opportunities.
Here’s how it delivers value:
Custom Scoring Models: Allows users to define and adjust scoring criteria based on unique business needs, enhancing the relevance of target account lists.
AI Agents for Research and Enrichment: Automates the gathering of deep insights on accounts, reducing manual research time and uncovering valuable data points.
Seamless CRM Integration: Syncs with platforms like Salesforce and HubSpot, ensuring that enriched data and scoring models are readily accessible within existing workflows.
PRESENTED BY SYNTHFLOW
Choosing the Right Voice AI for Contact Centers
Explore how forward-thinking contact centers are navigating the trade-offs between small and large language models to optimize for latency, cost, and performance.
This guide breaks down what truly matters—from infrastructure efficiency to conversational quality—and reveals how you can deploy voice AI in weeks, not months, all while achieving sub-100ms response times for faster, more human-like customer interactions.
Today’s Clay Workflow
Capture and activate brand mention signals, natively in Clay
Here’s how it works:
Find and enrich posts: use "find social posts" to pull linkedin posts (e.g. mentioning “clay”) and enrich them with metadata (author, content, comment count) using "enrich social post".
Extract core post data: create fields to extract key details like post text, url, creation date, and update time.
Enrich author info: use "enrich person" to pull the author’s name, title, and organization from their linkedin profile.
Analyze and classify content: use "clay category & sentiment" to assess sentiment and categorize the post’s mention of clay; extract those values into fields.
Capture and route comments: use "get comments on a social post" and write those, along with the original post data, to the "all social post reactors" table.
Notify via slack: send a message to a slack channel when a post about clay is detected, including author info, sentiment, category, and post link.
Not sure how to use Clay yet?
I started a YouTube channel to help you get started.
Clay Tutorial: Part I - Create Personalized Messaging at Scale
Clay Tutorial: Part II - Extract Data from Product Hunt Using Chrome Extension
Clay Tutorial Part III - Clay Webhooks and Power Automate
Plus here’s a webinar I hosted on how to automate outbound with intent signals
If you want more Clay credits to start, you can get 3,000 credits with my referral link.
Biggest Moves in AI
Source: The Verge
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Thanks for Reading
Have a great day! If we’re not already connected, reach out to me on LinkedIn!
Joey Fiorie

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