CIOREVIEW >> Artificial Intelligence >>

How AI Is Shaping Content Marketing Personalization

By CIOReview | Tuesday, June 11, 2019

FREMONT, CA: In an associated world where things are linked to people, there are numerous touchpoints to manage. To a marketer, it is time to rethink about the customer needs and preferences to streamline the use of AI. Operators need to generate a mix of human operations with the assistance of machines to create enhanced experiences with hyper-personalization and contextual messaging. AI algorithms can be used to ensure that proper customer relationship management (CRM) software can be devised to develop a swift data flow in the retail sector.

Dynamic Scenario of Market Personalization:

The fundamental point for marketing experts today is the surplus of messages reaching the targeted panorama. It has become increasingly tricky to shatter through the clutter owing to the congestion of data at terminals. Although the marketing scenario today consists of Artificial Intelligence apparatuses aiding operators to recognize signals indicating intent, the key question is about the extension of its leverage.

          Check out: Top Marketing Analytics Companies

Humans can munch through only so much data on a given day. To provide authority to machines with AI will enable them to ingest the marketed information, evaluate them across its signal library, and make an informed conclusion within minutes. For instance, CRM software can evaluate the service offered and price across the virtual landscape and create an unbiased verdict on vendor-selection. The software has also been employed in supply chain management to choose the best combination of logistics data to cut costs.

Increase in Marketing Opportunities:

Marketing opportunities are expected to increase almost instantly in a connected scenario. Once AI starts balancing aspects for decision making, the final opportunity for data science experts and marketers would be to use the AI-driven algorithm to calculate and then offer instructions that suit the machine.


Business challenges get increasingly intricate, and it takes massive creativity to enclose them quantitatively and evaluate. Enterprises that create and adapt their models to changing conditions will have the upper hand.