Top AI Strategies to Help Increase Business Revenue

Top AI Strategies to Help Increase Business Revenue
Estimated Reading Time: 3 minutes

AI has revolutionized the world in various ways. Its ability to automate tasks, analyze data, personalize experiences, support decision-making, and foster innovation has made it a transformative technology that businesses are eager to embrace and capitalize on. The impact of AI is particularly evident in digital marketing, where it can help marketers achieve their goals of increasing customer engagement, generating more leads, and driving revenue.

According to Gartner research, by 2025, large organizations are predicted to generate 30 percent of outbound marketing messages through AI. This statistic is just the tip of the iceberg, as AI has even more potential waiting to be harnessed.

At InfoTrust, we leverage AI technology to help our clients gain a competitive advantage and increase their revenue. Here are some of the ways in which we work with our clients:

  1. Customer Propensity: Propensity models enable marketers to understand the likelihood of customers converting in the near future. By utilizing this data, marketers can drive personalized marketing campaigns and achieve better business outcomes. With enhanced visibility into the future, brands can increase conversions and improve return on ad spend (ROAS).
  2. Revenue Forecasting: Forecasting allows marketers to understand future trends and respond quickly to optimize campaigns. This capability helps meet important sales targets and enables retail brands to forecast online sales volume better. Business owners and key stakeholders can gauge real-time performance and respond with appropriate campaigns and messaging.
  3. Data-Driven Attribution: Attribution models provide marketers with insights to optimize their campaigns, understand the impact of past marketing tactics, and gain holistic insights into future campaign behavior. This knowledge enables future planning and optimization efforts.
  4. Customer Lifetime Value: Predicting the future transactions and spending of current customers helps identify which customers to obtain and retain. Understanding that not all customers are equally valuable, businesses can focus on the satisfaction and retention of high-value customers for long-term success.
  5. Customer Segmentation: Segmenting customers based on relevant characteristics like behavior and demographics allows marketers to build customer profiles. By incorporating additional customer knowledge, marketers can activate personalized marketing strategies and increase key metrics such as web visits or page views.
  6. Value-Based Bidding: With custom machine learning models, marketers can optimize bidding strategies in platforms like Google Ads, SA360, and DV360. Rather than optimizing for cost per action (CPA), which values all conversions equally, value-based bidding enables tailored algorithms that align with the overall objectives of the company, not just marketing objectives.

By embracing these AI-driven strategies, businesses can stay ahead of the curve and remain competitive in the rapidly evolving digital landscape. The transformative power of AI in digital marketing is undeniable, and it’s crucial for businesses to capitalize on its numerous benefits.

At InfoTrust, we are committed to helping our clients navigate this AI-powered era, unlock new possibilities, and achieve their marketing goals. Contact us today to learn how our AI solutions can drive your business forward.

Wondering how AI can help your business?

We are here with AI-driven strategies whenever you need us!


Originally Published: June 27, 2023

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June 27, 2023

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