According to Forbes 84% of marketing organizations are
implementing or expanding AI and machine learning in 2018. 75% of enterprises
using AI and machine learning enhance customer satisfaction by more than 10%. Machine
learning techniques are used to solve a host of diverse problems, and
businesses stand to benefit a great deal. But the most important function used
by the modern marketing team from Machine learning is finding pieces of
predictive knowledge in the waves of structured and unstructured data and using
them to your advantage. The ability to respond quickly and accurately to
changes in customer behavior is critical in today's world, and machine learning
provides that agility by helping identify shifts early.
Machine learning is used to make predictions about customer
behavior and create personalized recommendations. It also offers optimization
capabilities across channels, including email, mobile and web, via predictive models.
The best marketers are using machine learning to understand, anticipate and act
on the problems their sales prospects are trying to solve faster and with more
clarity than any competitor. Having the insight to tailor content while
qualifying leads for sales to close quickly is being fueled by machine
learning-based apps capable of learning what’s most effective for each prospect
and customer. Machine learning is taking contextual content, marketing
automation including cross-channel marketing campaigns and lead scoring,
personalization, and sales forecasting to a new level of accuracy and speed.
The combined effect of these marketing technology
improvements will increase sales effectiveness in retail and B2C-based channels.
Sales Qualified Lead (SQL) lead generation will also increase, potentially
reducing sales cycles and increasing win rates.
No comments:
Post a Comment