One On One Marketing With Social Media And Technology

The speed of marketing is changing rapidly with the advent of social media. Every consumer was reachable and their concerns were expressed every day. Businesses who listened to the consumer and interacted with them gained new customers. Marketing changed from television to mobile where consumers preferred to be treated personally. They preferred businesses that cared about their concerns.
Online markets created a great shopping experience and consumers used it to grab on any offers that’s could have been missed previously. Now it’s available at a few clicks. Amazon outplayed retail stores in this online customer acquisition game.
Amazon was to easy to shop around and products could be added to cart whenever you need and quick delivery sealed the fate for conventional retail stores.

Social media allowed ads to interactive with the consumer and every ad carried a link that would redirect the consumer to the product or call to action pages that made the ads so successful. Point is speed with just a few clicks consumer could use the offer or buy the product. The ease of shopping made online commerce so enticing.
Here is where things get interesting as technology stepped up the game with big data and machine learning. Analyzing consumer data gave new insight about the pattern of buying and their behavior. This allowed businesses to recommend personalized products to consumers. Consumers prefer to be cared by the businesses.

Segmentation of customers allowed businesses to group customers based on their preference, likes and behavior to offer, pricing, discounts etc. Products were also bundled based on basket analysis.
A Combination of AI powered analytics and chatbots can be the right recipe to interact with consumer and create a great shopping experience. Chatbots are efficient in resolving queries, making sales, collecting data and they’re available 24* 7. Customer analytics would provide insight to customer behavior to offer, discount, and coupons. It’s all about creating demand by identifying the consumer behavior.

Customer queries are redundant, only the semantics and intent remains the same while the way of asking or framing the question varies. This would enable businesses to take out most of the inbound queries thereby reducing the call volumes. This can be accomplished by Word to vector modelling along with natural language processing.
AI could optimize and transform any business operation.
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