We live in a time when our phones are constantly buzzing, and our inboxes are flooded with emails. On average, an individual receives over 100 emails a day, yet only 20% are ever opened—and far fewer acted upon. For businesses, this means wasted resources. For users, it’s just noise.
But what if you only received emails or notifications that truly mattered to you? No spam. No noise. Just the information you care about.
This is where AI steps in to help businesses develop audience specific Digital Marketing Strategies. Instead of sending blanket emails and push notifications to everyone, AI allows businesses to focus on precision marketing—reaching the right audience with the right message, at the right time. This isn’t just a fancy idea; it’s backed by numbers.
- Cost Savings- Sending unnecessary emails or push notifications costs money. Whether it’s paying for email campaigns or cloud services, those expenses add up. By focusing only on the audience most likely to respond, businesses can cut their email lists significantly, saving costs while increasing conversion rates.
- Personalized Content- Emails with personalized subject lines are 26% more likely to be opened. AI can craft these personalized emails by analyzing customer preferences. For example, instead of a generic “New Sale” email, AI can deliver a message that says, “Hi [Name], the shoes you liked are 20% off today!
- Avoiding Notification Fatigue- Sending too many irrelevant notifications can cause users to turn them off completely. AI uses behavior patterns to optimize frequency and timing, ensuring notifications are sent only when they’re relevant. For example, a push notification reminding someone of a sale will be timed for when they’re most active online.
- Audience Prediction- AI analyzes customer data—purchase history, website activity, search behavior, and engagement patterns—to predict who’s likely to be interested in your emails or notifications. For instance, if someone has been browsing fitness gear, AI can ensure they receive a targeted email about your latest running shoes, not a random email about kitchen appliances.
- Dynamic Engagement Scores- AI assigns engagement scores to each customer based on their interaction history. A customer who hasn’t opened an email in months may receive fewer, while a highly engaged user gets priority in future campaigns.
Real-World Impact:
Companies that have embraced AI in their marketing strategies are seeing measurable results and that’s why these companies stand out—they respect your time while maximizing their efficiency. For example:
- Sephora uses AI to recommend products based on browsing history, increasing email click-through rates by 70%.
- Amazon uses AI-driven recommendations to generate 35% of its total revenue.
- Adobe reported that brands using AI for marketing saw a 50% boost in customer satisfaction while reducing operational costs.
- Netflix uses AI to analyze viewing habits and recommend shows and movies that align with each user’s preferences.
- Nike uses AI-driven data insights to create hyper-personalized marketing campaigns, such as offering custom shoe designs based on user preferences and purchase history.
With rising costs in digital advertising and increased competition for attention, businesses can no longer afford to waste resources on ineffective campaigns. At the same time, customers are demanding more relevance and less noise. AI bridges this gap by helping businesses cut through the clutter and connect meaningfully with their audience.
The future of marketing isn’t about sending more emails or notifications; it’s about sending smarter ones. AI makes that possible by creating value for both businesses and customers.
