Marketing teams have often used Infer
Our fit models use predictive analytics and advanced machine learning to figure out if someone is a fit to buy a certain product, and our behavioral models determine whether they’re likely to buy soon. Infer We do this by analyzing key signals – like a company’s business model, technology vendors, relevant job postings, public filings, social presence, website activities, marketing automation data, product usage data, and other attributes. We’ve found that our customers unlock the most value when they use Infer to not only filter and prioritize their leads, but to optimize marketing campaigns, improve outbound sales, create intelligent lead nurturing, design sales service level agreements, etc.One key best practice we’ve seen companies employ is a simple 4X4 fit and behavior score matrix Mobile Phone Number List that helps them develop programs around different segments, for example by sending the very best fit, likely-to-buy leads directly to their top reps. Our Infer Net-New Leads offering provides sales teams with a new source of high quality prospects by partnering with top data providers such as InsideView, and using personalized predictive models to identify a company’s best-fit leads.to score lead lists on their own, but now they can also purchase net-new leads from us directly, leverage our specialized models tailored to score cold contacts, and pay only for the best accounts. What are Infer’s key differentiators? We are unique in the predictive space for a couple reasons – first and foremost because of our deep and focused set of insanely intelligent predictive scoring products. Our DNA is made up of a strong engineering culture arising from Google, Microsoft and Yahoo. We are vicious about acquiring data and finding the areas where data science can unlock the most value for B2B sales and marketing.
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Infer process Infer’s mission is to help companies grow with the power of data science. Our predictive intelligence helps power a number of different applications for sales and marketing: Filtering – Instantly identify good leads while filtering out all of the noise (bad leads). Prioritization – Prioritize leads in order for Sales to focus on prospects that are demonstrating strong buying signals and are likely to have the greatest revenue impact. Net-New Leads – Fuel outbound sales by identifying a company’s best-fit leads that are not currently in your database. Nurture – Monitor leads in nurture databases to send prospects back to sales as soon as they re-engage. Exec Dashboards – Guide decision making, spot emerging trends, and track how well demand generation is fueling your pipeline. Because our goal has never been to build a consulting company, we’ve remained laser-focused on model performance and driving impactful, repeatable results for our customers as opposed to relying heavily on services.
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