Go-To-Market
Go-To-Market
We build data and intelligence into our sales, marketing, pricing, and customer operations processes. This spans across building data foundations; applying statistical techniques such as A/B testing, media mix modelling, LTV estimation, and multi-touch attribution to measure our GTM efforts; applying machine learning to optimize the performance of key GTM process; and conducting in depth analysis on member and customer to inform strategic decisions.
Voices: Part 1
Read part 1 of a two-part series about Voices, a text analytics platform built by LinkedIn. Part 1 gives a general overview of Voices, our “voice of the member” topic mining platform.
HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer
This paper introduces an approach that utilizes heterogeneous social networks to improve the effectiveness of offline sales. More specifically, we proposed a two-phase framework, HeteroSales.
Voices: Part 1
Read part 1 of a two-part series about Voices, a text analytics platform built by LinkedIn. Part 1 gives a general overview of Voices, our “voice of the member” topic mining platform.
Voices: Part 2
Read part 2 of a two-part series about Voices, a text analytics platform built by LinkedIn. Part 2 goes into further detail about the technical aspects of topic mining, specifically.
Voices: Part 2
Read part 2 of a two-part series about Voices, a text analytics platform built by LinkedIn. Part 2 goes into further detail about the technical aspects of topic mining, specifically.
HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer
This paper introduces an approach that utilizes heterogeneous social networks to improve the effectiveness of offline sales. More specifically, we proposed a two-phase framework, HeteroSales.
Interested in joining our team at LinkedIn?