In the 1970s, with the advent of personal computing, we entered what has been called the Information Age. But over the past 50 years, we’ve moved well beyond information. Today, data is king.
This can be overwhelming. In 2025, it’s estimated we’ll see 181 zettabytes (181 billion terabytes) of data created. That’s an increase of over 23% compared to 2024. Business owners and marketing professionals are clamoring for reports that synthesize all their data into actionable strategies that generate sales, enabling data-driven decision-making.
Going from raw data to actionable insights to implementing those recommendations can be a lengthy process: compiling all relevant data and filtering out what is not relevant; turning the data into usable information, i.e., comprehensive reports, and finally analyzing the reports to develop clear, informed strategies. The more you can minimize the time and effort required to turn data into insights, the more you’ll be able to focus on execution.
That’s where AI can help.
AI is more than just another tool, it’s the missing piece that bridges the gap between raw figures and usable recommendations. Instead of manually analyzing large data sets, marketers can rely on AI to deliver in three distinct areas:
- Pattern Recognition: Use AI to quickly identify and document patterns and trends in your data that might otherwise take days or weeks to analyze if not missed altogether.
- Predictive Analysis: Develop future outcomes and behaviors, such as sales forecasting, based on historical patterns and current indicators.
- Proactive Recommendations: Suggest specific actions based on data-driven insights, such as anticipating a customer’s needs or adjusting campaign strategies.
Reports, by nature, are historical, they tell us what happened in a specific time frame – the past week, month, year, etc. Rather than simply summarize what happened in a previous campaign, AI can analyze historical data and offer tangible next steps to drive proactive decision-making for a future campaign. Not just data-driven decisions, but insight-driven decisions.
For example, AI can analyze audience engagement, demographics, and behaviors to help marketers identify which leads to prioritize. AI can consider a prospect’s online behavior – what they’ve looked at on your website – and recommend a specific offer or campaign just for that person.
Tools like MhCRM’s Business Goals help bridge the gap between data collection and strategic action, analyzing and providing insights from various campaigns to provide clear, actionable recommendations. In other words, you’ll be able to understand how an email campaign connects to your lead generation goals and what steps you’d need to take to improve engagement and conversions.
AI helps you take the guesswork out of your next campaign and scale your decision-making while giving you back time in your day to tackle more strategic work. With MhCRM’s Business Goals, your sales and marketing teams can get the insights and actionable recommendations you need to drive more sales.
