What is Entrov?
Entrov is an AI-powered tool designed to streamline and optimize the process of partner sourcing for sellers. It combines machine learning and a clean UI to effectively identify suitable partners, thereby increasing deal sizes and reducing average sales cycle times.
How does Entrov use machine learning?
Entrov uses machine learning to enhance its proprietary search engine. This technology enables Entrov to identify top partners by analyzing their primary capabilities, supported industries, and B2B relationships β insight that traditional methods may not be able to provide.
What are the primary features of Entrov?
The primary features of Entrov include a machine learning-powered proprietary search engine, hyper-customized partner profiles showcasing specific GTM assets and success stories, and a clean, centralized UI that consolidates all partner assets, use cases, and contacts for efficient searches.
Can Entrov help me find the best partners for my business?
Yes, Entrov is designed to help you find the best partners for your business. It uses machine learning to analyze the primary capabilities, supported industries, and B2B relationships of potential partners and presents them in an easily digestible format.
What is a hyper-customized partner profile in Entrov?
In Entrov, a hyper-customized partner profile is a detailed account of a partner that highlights specific GTM (Go-to-Market) assets and success stories. These profiles are carefully tailored to meet your desired use case, enabling you to understand each partner's strengths, capabilities, and past achievements.
What does the Entrov UI look like?
Entrov's UI (User Interface) is designed to be clean and user-friendly, pulling all partner assets, use cases, and contacts into a single screen or 'pane of glass'. This design allows for efficient, fluff-free search and access to relevant information.
How can Entrov save me time in sourcing partners?
Entrov can save you significant time in sourcing partners by using machine learning algorithms to rapidly identify viable partners. Instead of manually digging through piles of information, Entrov presents these potential partners in hyper-customized profiles, enabling more efficient decision-making and saving up to 2+ hours per deal.
What does it mean that Entrov provides a technology-first approach to sales?
Providing a 'technology-first approach' means that Entrov heavily leverages the power of AI and machine learning in sales and partnership collaboration. This technology-driven model allows for significantly faster and more accurate partner identification and engagement.
How does Entrov increase deal sizes?
Entrov increases deal sizes by efficiently identifying the best possible partners for a deal through machine learning. By confirming the assets and capabilities of potential partners, it maximizes the potential of each deal, thereby leading to larger deal sizes.
How can Entrov reduce average sales cycle times?
Entrov reduces average sales cycle times by streamlining the partner sourcing process. By eliminating unnecessary manual research and providing quick access to high-quality partner profiles, sellers can reach out to suitable partners faster and close deals more promptly.
In what ways does Entrov aim to simplify partner sourcing?
Entrov simplifies partner sourcing by deploying machine learning for efficient identification of partners, presenting succinct and highly detailed partner profiles, and consolidating all relevant information on a single user-friendly platform.
How does the proprietary search engine of Entrov work?
Entrov's proprietary search engine uses machine learning algorithms to analyze the primary capabilities, supported industries, and B2B relationships of potential partners. It presents this data in a clean and user-friendly UI for more efficient decision-making.
How does Entrov help in eliminating subjectivity in the partner sourcing process?
Entrov reduces subjectivity from the partner sourcing process by objectively identifying partners based on parameters like primary capabilities, supported industries, and B2B relationships. This data-driven approach avoids personal biases and decisions based solely on past experiences.
How does Entrov help in dealing with B2B relationships of top partners?
Entrov enables better management of B2B relationships by providing intimate insights into potential partners. It uses machine learning to identify partners who have a proven track record in B2B relationships, therefore improving the chances of finding a suitable partner.
What are GTM assets in Entrov's hyper-customized partner profiles?
GTM assets in an Entrov hyper-customized partner profile refer to a potential partner's Go-to-Market resources or capabilities. They include insights into the partner's proven strategies for entering the market and their past success stories.
How does Entrov organize partner assets, use cases, and contacts?
Entrov organizes partner assets, use cases, and contacts by gathering all this information into a single, easy-to-view pane within its clean UI, eliminating the need for users to navigate through extraneous information.
What is the scope of user feedback in refining Entrov's features?
The scope of user feedback in refining Entrov's features is quite significant as the tool is currently in the beta testing phase. Users can provide suggestions or report issues, which is encouraged to help further enhance its functionality and features.
How do I get beta access to Entrov?
You can get beta access by visiting the Entrov website and requesting it. On the site you'll find a 'Request beta access' option to submit your request.
What does it mean that Entrov is currently in the beta testing phase?
Being in the 'beta testing phase' means that Entrov is in the stage of development where it is open to select users who provide insights, feedback, and bug reports to help improve the system before its full launch.
What types of industries or businesses can benefit from using Entrov?
Entrov is beneficial for any industry or business that involves B2B dealings and requires partner sourcing for sales. It's particularly useful for businesses wanting to leverage smart technology to optimize their sales process by finding the most appropriate partners.