4.1 out of 5 stars
(1201 Ratings)
D&B Hoovers helps sales, marketing, and revenue teams find better opportunities, engage buyers more effectively, and accelerate revenue growth. By combining trusted company and contact intelligence with buyer intent data, website engagement insights, business triggers, and AI-powered recommendations, D&B Hoovers helps organizations focus on the opportunities that matter most.
Teams use D&B Hoovers to discover new prospects, identify decision-makers, prioritize target accounts, and create more meaningful customer conversations. The platform provides a complete view of companies and buying signals, helping users understand who to engage, when to engage, and why an opportunity deserves attention.
Backed by the Dun & Bradstreet Data Cloud, D&B Hoovers delivers trusted business intelligence across millions of companies and contacts worldwide. Users can leverage advanced prospecting tools, account insights, market intelligence, and real-time business events to support more informed sales and marketing strategies.
By reducing manual research, improving account prioritization, and helping organizations act on buying signals faster, D&B Hoovers enables teams to increase productivity, improve pipeline quality, and drive more predictable revenue outcomes.
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4.9 out of 5 stars
(251 Ratings)
AI Sales Representative - Your Future Sales Agent May Not Be Human at All
Transform your engaged website visitors into sales-ready leads without dedicating even a single working hour.
Using our cutting-edge WebID + Person identification technology, we target the most engaged visitors on your site, focusing on those who can provide the greatest value to your sales initiatives.
- Comprehensive Prospect Information: We collect 40 essential data points for each prospect, including their first name, last name, email address, and more.
- Engaged Yet Unidentified: These prospects are actively researching online but haven't yet interacted with your sales team.
- Key Position in the Sales Funnel: These visitors are well into your sales funnel, spending significant time on your crucial 'buying pages' while remaining anonymous, making them prime candidates for conversion into appointments.
- AI-Powered Engagement: Our AI Sales Rep adeptly identifies and engages these visitors, encouraging them to show interest in your offerings. This entire process is automated, allowing your sales team to focus solely on the leads that are most likely to convert—your accessible opportunities.
By harnessing AI, you can seamlessly convert your website visitors into leads that are ready for meetings, all while enhancing efficiency in your sales process.
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Aviso
Aviso is an AI-powered revenue intelligence and agentic sales execution platform developed to help organizations forecast revenue, manage customer relationships, and automate go-to-market activities. The software provides a unified revenue operating system that combines sales forecasting, pipeline management, conversation intelligence, relationship analytics, and workflow automation. Its predictive forecasting engine uses machine learning to analyze historical sales performance, CRM data, customer interactions, and opportunity characteristics to estimate revenue outcomes. Pipeline inspection capabilities help revenue leaders monitor deal progression, identify stalled opportunities, evaluate pipeline coverage, and detect risks that could affect sales targets. Conversation intelligence tools analyze recorded sales interactions to generate transcripts, assess customer sentiment, identify objections, and recommend actions that support deal progression. Relationship intelligence maps engagement between sales representatives and customer stakeholders to identify influential contacts, communication gaps, and opportunities for multithreaded selling. Aviso provides AI-driven deal guidance that recommends next steps based on opportunity activity, buyer engagement, historical patterns, and other revenue signals. Its agentic AI capabilities include role-specific virtual agents, specialized task agents, and more than 30 preconfigured workflows supporting activities across the sales and customer lifecycle. The no-code GTM Agent Studio allows users to design, customize, and deploy automated agents through reusable components, connected actions, and configurable business processes. Sales coaching and enablement features help managers evaluate representative performance, analyze successful selling behaviors, and connect training activities with measurable revenue outcomes.
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Backstory
Backstory is an AI-powered revenue intelligence platform built to give sales organizations deeper visibility into deals, accounts, pipelines, forecasts, and customer engagement. It connects with existing CRM, email, calendar, meeting, and sales applications to collect account activity without requiring representatives to manually enter every interaction. Calls, meetings, stakeholders, and other engagement signals can be automatically associated with the relevant opportunities and accounts. The platform analyzes this information alongside historical sales patterns to evaluate deal health and estimate the likelihood that an opportunity will close. Revenue teams can use the resulting insights to identify risks, stalled deals, missing contacts, coverage gaps, bottlenecks, and potential expansion opportunities. Stakeholder mapping helps sellers understand the people involved in each buying process and determine whether important decision-makers or influencers are missing. Backstory also generates deal-specific recommendations that suggest possible next steps based on buyer activity and the context surrounding an opportunity. AI sales coaching capabilities can help representatives evaluate their approach and improve execution without relying solely on periodic manager reviews. Sales leaders and revenue operations teams can use forecasting and pipeline management features to compare opportunities, monitor changes, and improve visibility into expected revenue. The platform also supports renewal and retention use cases by applying account activity intelligence to existing customer relationships. Backstory is intended for organizations that want to combine automated sales data capture with AI analysis to improve pipeline management, forecasting, account strategy, opportunity qualification, and day-to-day selling decisions.
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