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Deal Predictor

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on 30 June 2014

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Transcript of Deal Predictor

Tailored Technology
Customized (and adjustable) scoring code = unique predictions, dfferent from those of our direct competitors
Integrates Eloqua, Adobe, and Salesforce data
Scores will feed into Adobe Data Workbench and Eloqua
Better understand whom to target, with what content, and when; optimize the buyer's journey at every stage


Focs on customers ready to buy now, keep tabs on prospective buyers, and shorten the sales cyle
The Goal
Using predictive modeling, create an early warning system for potential deals.
A Big Data Enterprise SaaS Platform that predicts sales by detecting digital activity spikes:
Deal Predictor
Project Canary

" 57% of the purchase decision is already complete before the customer even calls the supplier." -
The Game Changer:
Spotting customers early in the buyer's journey.
Requires identifying buyers at all stages of the sales funnel, from awareness to purchase.
Use these deal alerts to:
Identify and tailor upcoming RFPs
Personalize marketing and sales interactions
Shorten the sales cycle
1. Combines "big data ingredients" from both internal and external sources

3. Generates scores (associated with buying stages) for all known and unknown individual contacts and companies
2. Blends data together to detect relative spikes of web activity
Internal Sources: Eloqua, Adobe, SalesForce

External Sources: Vertical DBs, Social Media, D&B, Blogs, etc.
Can sort by company, contact, industry, or revenue
Chosen Partner:
for CSC
At what point could 6Sense predict an account opening?
Full transcript