Easy-to-Implement AI Strategies for Your Next Campaign

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AI equips chatbots for full-fledged marketing, including lead generation, customer support, and cross-selling. From an inbound call analytical perspective, it adds AI integration to marketing.

AI adoption supports all phases of the customer journey, serving ads during the “consideration” phase, guiding searches, and connecting customers with human agents through chat, video or co-browsing when necessary. (Chatbots or AI systems improved the response times by 92% for companies implementing it, and 83% said it made it easier to respond to customer requests.)

Based on detailed data, such as geolocation, AI personalises offers and increases sales by decreasing cart abandonment. For example, bots can show messages like “Trisha, Neha, and nine others bought this bed sheet today,” increasing conversion rates by a factor of five.

In fact, post-sale, AI-enabled agents manage customer interactions around belgium phone number list the clock, handling changing service volumes as needed. When a customer asks a simple question, they answer. But when a question is complex, they escalate, sometimes analysing the customer’s tone to see if they can guide the response or invoke a supervisor to deliver a better outcome.


Here’s a list of effective AI marketing strategies for you that could give you a headstart:

Contextual Personalisation Powered by End-to-End AI to Increase Profits
Marketers widely use A/B testing, yet the biggest flaw of this approach is that it assumes the best option only because the winning variant is declared the best option. Traditional A/B testing can be limiting, as it often only considers the most successful variant, overlooking the preferences of smaller groups.

If, for example, 60% of customers prefer the “Buy One, Get One Free (BOGO)” deal and 40% prefer a flat 20% discount, an A/B test would suggest prioritising BOGO at the expense of the latter’s needs.