LeadSift Unveils Social Lead Discovery Platform by Analyzing Millions of Social Media Conversations

Natural Language Processing Software Identifies Leads with a LeadScore Calculated by Analysis of Historic Posts and Domain Knowledge
By: LeadSift
 
July 30, 2013 - PRLog -- HALIFAX, NOVA SCOTIA, CANADA (July 30, 2013) – LeadSift <http://leadsift.com> today launches its easy-to-use cloud based software that analyzes millions of conversations across social media channels to find and deliver potential leads to businesses while also giving each lead a metric that classifies intent.

Designed to save companies time and money by streamlining the social lead discovery process, each lead is geo-located and assigned a LeadScore, which provides companies with a unique way to sift though the noise and target the best opportunity to help them grow their businesses by finding and engaging with both new and existing customers. The LeadSift technology has already been integrated into HootSuite’s App Directory to assist their customers in finding and classifying leads.

“Signal is better than noise” said Tapajyoti Das, CEO of LeadSift. “We cut through the noise of static keyword searches to track and find relevant opportunities for brands to have targeted engagement with customers. After months of caffeine, coding and feedback from beta testers, we have created a unique tool that allows brands to engage in helpful ways with the people online that matter to them.”

The LeadSift natural language processing software currently uses over 50 signals to identify and score leads from social data and accurately identifies them as “hot”, “warm” or “cold”. Similar to a Klout score, the LeadSift LeadScore is calculated by a combination of semantic analysis of users’ posts and domain knowledge. For example, people saying "I need a car" are scored lower than consumers who mention of a specific car model, such as "looking for a Honda Civic," because the second group is more precise in their expressed intention, and therefore identified as further along in their buying process.

For every lead identified, LeadSift analyzes historical conversations from a user's public social profile to further qualify each potential lead. Based on an individual past posts and other available data such as LinkedIn profiles, LeadSift extracts demographic information and predicts the buying power of a consumer – all aspects ultimately affecting each individual’s LeadScore. For example, someone looking for a new car who currently has a job and owns a house, will receive a higher LeadScore than someone who is underage or has not yet purchased a home.

“Most companies are already looking for leads via social media and may even have a specific employee that spends timeless hours everyday searching for these leads,” said Sreejata Chatterjee, COO of LeadSift. “The LeadSift platform takes the pain out of finding leads and allows companies to put those hours in actually building relationships and growing their businesses. Through our work with our beta testers, we were able to create a platform that allows companies to find leads globally or right in their backyard.”  

About LeadSift

LeadSift is designed to bring brands closer to their customers by sifting through massive amounts of social data to make it easier to identify customers and engage them within context. The easy-to-use LeadSift platform identifies relevant business opportunities within social posts and assigns each lead a LeadScore to indicate the relevance of the lead. For more information, please visit www.leadsift.com.
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Source:LeadSift
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Tags:Lead, Social Media, B2B
Industry:Technology, Marketing
Location:United States
Subject:Companies
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