DeLorean AI CRM AI vs. Selling Simplified Visionayr

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DeLorean AI CRM AI
Score 0.0 out of 10
N/A
DeLorean Artificial Intelligence (DAI) has developed a what they offer as a Customer Relations Management AI (CRM AI), that predicts if a deal will sell or not, if it will not sell where in the sales cycle will it die, and what is the next best action to move the deal to the next stage of the funnel and to win. Further, CRM AI allows sales to predict their revenue by quarter objectively. CRM AI is presented as a solution to know which deals to pursue and those not to waste time.N/A
Visionayr
Score 9.0 out of 10
N/A
Selling Simplified headquartered in Colorado offers Visionayr, the company's intent recognition engine which provides additional intent data to improve understanding of content marketing effectiveness and sales readiness of individual prospects.N/A
Pricing
DeLorean AI CRM AISelling Simplified Visionayr
Editions & Modules
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Offerings
Pricing Offerings
DeLorean AI CRM AIVisionayr
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
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User Ratings
DeLorean AI CRM AISelling Simplified Visionayr
Likelihood to Recommend
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
DeLorean AI CRM AISelling Simplified Visionayr
Likelihood to Recommend
DeLorean Artificial Intelligence
No answers on this topic
Selling Simplified
Visionayr allows content to be customized to speak to a common market pain point, a solution benefit, or targeted personas. It is best suited to complex environments when a bespoke configuration is required. For example, every visitor is matched against a database of B2B buyers, resulting in a higher rate of known prospects. This extends campaign’s reach by translating unknown visitors from email, social and ad channels, and creating a single profile of intent for each prospect’s activity across the web. Visionayr provide results that put more context behind every lead, so it is more suited to data rich ecosystems
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