customer 
Lattice
SEPTEMBER 21, 2016
With predictive analytics, marketers get a complete view of the customer, and can pass the highest value leads over to sales, while using a precise customer profile to create customized nurtures for those not yet ready to buy. Poor conversion: This is yet another huge pain point that predictive analytics alleviates.
Lattice
MARCH 16, 2016
But smart teams understand that better segmentation is the key to B2B sales and marketing success. As a result, marketing and sales teams can create hyper-personalized segments based on technographic data (e.g. One of our customers in the tech industry is using this capability to run targeted competitive take-out campaigns (Figure 1).
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Lattice
MAY 24, 2016
For example: Demandbase runs an account-based program across 3,000 accounts (including enterprise and mid-market segments). Customers have been able to use scores with intent data to get better fidelity insights into who is in market. They’ve seen up to 285% higher win rates and 35% higher deal sizes. in minutes.
Lattice
DECEMBER 14, 2015
Marketers should no longer focus on passing over leads and instead focus on identifying the best-fit companies, expanding to the right people in the right roles, engaging with the right content and channels and turning customers into advocates and fans. Companies are using ABM for three main use cases, according to Sangram.
Lattice
OCTOBER 5, 2016
Make a set of standard toolkits available and make the customer responsible for the output of the AI as well as the business outcome of the deployment. Through the course of engaging with the end-users and continuously refining our solutions, we have learnt five important lessons about creating measurable value for our customers.
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