The Fundamental of Predictive Analysis in ABM Strategies

1
FUNDAMENTAL PREDICTIVE ANALYSIS IN ABM
2

• By SalesMark Global

https//salesmarkglobal.com/
2
Introduction

• ABM (Account-Based Marketing) has gained a lot of
  popularity and is often referred to as a
  breakthrough in the marketing field, allowing the
  companies to target high-value accounts by using
  highly accurate data. However, blending the
  accuracy of Predictive Analytics in ABM empowers
  organizations to achieve levels of excellence
  they were unaware of when addressing future
  business challenges.

https//salesmarkglobal.com/
3
MACHINE LEARNING

• Machine learning has its cornerstone in
  predictive analysis through which models are made
  to adapt and improve their functioning with a
  time passing which utilizes more data to program
  the models more precisely which improves
  predictions

4
SCORING AND RANKING
2

• For the predictive model, data will be used as a
  source of inputs including firmographics, online
  behavior, and historical interactions assessed
  out of the target accounts. Thus, this data is
  the ground on which the predictive models are
  built on.

5
DATA COLLECTION
2

• For the predictive model, data will be used as a
  source of inputs including firmographics, online
  behavior, and historical interactions assessed
  out of the target accounts. Thus, this data is
  the ground on which the predictive models are
  built on.

6
PREDICTIVE MODELING

• These models take historical data and extrapolate
  it into projections of future outcomes. The most
  important task in ABM is account identification
  where marketers determine which accounts have the
  best conversion or package accordingly.

7
FEEDBACK LOOP

• This area of analysis is a superstar. It needs
  feedback! Marketing team has to check the
  forecasting vicinity to improve the 5
  segmentation methods.

8
THANK YOU
2

• https//salesmarkglobal.com/