SAN FRANCISCO--(BUSINESS WIRE)--SalesPredict, a fast-growing predictive B2B marketing solution provider, announced today that it has released its new Predictive Revenue Automation platform, the first modules of which the company unveiled in March. Building upon its predictive lead and account scoring, predictive insights, and predictive demand generation, today’s release includes fully-automated predictive advertising via AdRoll, providing B2B marketers a streamlined approach to Account-Based Marketing (ABM), retargeting, and predictive demand generation. The new platform is designed to help B2B marketers make predictive, revenue-centric decisions about all their marketing investments and activities.
B2B marketers can now use SalesPredict predictive scoring, segmentation and insights to pinpoint the best potential target leads and/or ABM accounts, and in just a few clicks, launch a campaign to target them, or lookalikes, via the AdRoll advertising network. This initial release supports display network and Facebook advertising, with Twitter integration planned for the near future.
“Today we are redefining the role of predictive analytics in modern B2B marketing by integrating predictive into more key marketing functions so marketers can align with sales for a truly revenue-centric approach,” said SalesPredict Co-founder and CEO Yaron Zakai-Or. “Instead of using predictive scoring and insights to filter lead for quality retroactively, savvy marketers can now use predictive at the top of the funnel and throughout the customer journey as a lens through which to view all interactions—to define which accounts and leads to pursue, to effectively target demand gen and email campaigns, and eventually, to decide which content to send prospects and which events to participate in. Our Predictive Revenue Automation platform will make all that possible.”
Using predictive analytics + a company’s internal CRM and marketing automation system data + the open web and third-party data sources, SalesPredict’s Predictive Revenue Automation platform provides predictive scores and insights that help B2B companies target their marketing and sales efforts more effectively to drive revenue. Today’s release includes:
- Transparent predictive lead, account, and opportunity scoring
- Automated predictive advertising: display and Facebook ads via AdRoll (Twitter integration coming soon)
- Automated account micro-segmentation and persona definition, enabling sustainable ABM
- Sales Conversation Planner: predictive insights into why a prospect/account is a good fit
- Predictive Demand Generation for net-new leads
Haim Levit, General Manager of Indigo and Inkjet Press Solutions at HP said: “We share SalesPredict’s vision for Predictive Revenue Automation because we have seen first-hand how a predictive approach can drive revenue growth. Using SalesPredict, we have increased our win rates by nearly 40 percent by focusing sales and marketing efforts on the leads, accounts, and opportunities with the highest predictive scores. And the sales team trusts the scoring accuracy because our A and B rated accounts typically convert at a 2x rate.”
SalesPredict VP of Product Marketing Sahil Mansuri added: “Why should modern B2B marketers waste time and squander their budgets blindly guessing and mass mailing and advertising when they can use predictive analytics and the wealth of data available to them both within their current martech stacks and beyond to scientifically target just the right people and companies? B2B marketers are increasingly aligned with and responsible for revenue goals—now they have a revenue-centric, predictive platform to use to hit those quotas.”
Who is most likely to buy—and why? SalesPredict can tell you. Founded in 2012, SalesPredict helps B2B Marketing and Sales teams drive more revenue by identifying who their best potential prospects and accounts really are and providing insights that help them target inbound and outbound marketing efforts more effectively. How? Predictive analytics. The company is headquartered outside Tel Aviv and has a U.S. office in San Francisco. Learn more about SalesPredict at www.salespredict.com and by following @SalesPredict on Twitter.