Key Use Cases of AI in Martech

CIO Applications| Thursday, July 15, 2021

AI makes it easier to target clients with personalized discounts and offers. Price forecasts are made in real-time, allowing you to save time and money.

FREMONT, CA: With increasing technological breakthroughs, the rise of Software as a Service (SaaS) firms, and a growing demand for rich data-driven marketing campaigns, it is no surprise that artificial intelligence is increasingly being integrated into our strategies and operations. Let us look at four AI uses in martech:

Improving customer service efforts

Predictive analytics, which can show marketers what will happen in future campaigns, has been made possible by martech. These forecasts are always based on previous campaign and strategy data, and thanks to machine learning, your data and forecasts will only get richer over time.

Predicting marketing campaign performance

These forecasts can help you build more effective campaigns that resonate better with consumers and prospects and identify leads that are ready to go on to the next sales step in your company.

Providing dynamic pricing

In every firm, it's vital to adjust your prices in response to shifting market demands. The smarter strategy is to use AI for dynamic pricing. Based on data gained from client behavior, it employs algorithms to determine the best pricing for every potential case.

Managing social media accounts

One of the most useful methods for a firm to employ AI in its marketing plan is social media management. Marketers can now automate large-scale content distribution and promotion initiatives, offloading formerly laborious tasks.

You can establish a content calendar, schedule articles, and manage comments and messages using popular social media management tools from the app. You can manage all of your content and data and monitor your analytics from a single dashboard, even if you have many accounts on different platforms.