Question: Can you recommend a tool that helps me identify potential customers based on industry, revenue, and technology usage?

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Lusha

For finding prospects by industry, revenue and technology usage, Lusha is a good option. It can tap into social networks, the web, Salesforce and other sources for a rich feature set. The Technology Filter lets you target companies by their technology infrastructure, and Buyer Intelligence finds companies that are actively in the market for a solution. Lusha also offers advanced search filters, CRM enrichment and accurate email and direct dial lookup so you have the best information to connect with prospects.

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6sense

Another option is 6sense, which uses Revenue AI to optimize pipeline creation and management. It offers features like intent data, company and people search, and predictive models to engage with target accounts at the right time. 6sense's AI-powered email responses and predictive models help you focus on high-quality pipeline generation and conversion, providing actionable insights to improve conversion rates and reduce go-to-market waste.

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Looti

Also available is Looti, a predictive marketing AI solution that helps companies build targeted audiences and find the best B2B leads. With more than 20 filters for attributes like job titles, keywords and company technology, Looti offers full contact information and hyper-segmentation of data. It integrates with popular tools like Hubspot and Pipedrive, so it's a good option for generating a curated list of leads that match your target audience.

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Clearbit

Last, Clearbit is a data enrichment tool that uses AI and public data sources to provide cleaned and standardized data sets. It also offers features like real-time lead scoring and buying intent signals that can help you optimize forms and focus on the most promising leads. Clearbit integrates with common tools and offers custom plans based on your CRM size and database, so it's good for companies of all sizes.

Additional AI Projects

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People.ai

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CrustData

Identify exact-match similar companies and competitors with a proprietary database of billions of employee, financial, and contact data points, updated weekly.

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Delve AI

Automatically creates data-driven buyer personas for your business and competitors by combining Google Analytics, customer/CRM, and social media data in minutes.

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GodmodeHQ

Automates lead research, intent data, and campaigns to drive business growth, reducing manual work and providing personalized, contextual outreach.

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Humanlinker

Turbocharge your pipeline with AI-powered personalization, generating hundreds of customized sales sequences and automating outreach at scale.

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Leadpipe

Identify anonymous website visitors, including names, email addresses, and LinkedIn profiles, to reacquire lost shoppers and increase revenue from email marketing.

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Treasure Data

Unifies customer data from disparate sources into a single profile, leveraging historical interactions, real-time behavior, and AI-generated predictions.

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Revenue

Get real-time guidance and automation to improve sales team performance, freeing up reps to focus on higher-value activities.

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Dstillery

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Twilio Segment

Automatically enriches customer profiles with every new interaction, enabling real-time personalized experiences and targeted advertising.

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Blueshift

Centralize customer data, automate marketing decisions, and deliver personalized experiences across channels in real-time with AI-driven decisioning and predictions.

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Customers.ai

Identify up to 20% of anonymous website visitors with rich contact information, and remarket to them for a 30% conversion rate boost in just 30 minutes.

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Branded

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CustomerIQ

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Dataroid

Unifies customer data across channels, providing a single view to analyze customer journeys and inform targeted engagement strategies.

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Spatial.ai

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Quest Labs

Personalize in-app experiences with AI-powered segmentation, generating customized UI, text, and images at scale without requiring engineering resources.

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Sauce

Automates actionable customer insights in under 5 minutes, surfacing key trends and issues through AI clustering, and prioritizing feedback by customer attributes.