Indian Brands Slash CAC by 30% using AI
In today’s competitive digital landscape, acquiring new customers at a lower cost is a top priority for many businesses. For Indian D2C brands, this challenge is particularly pressing, with the market growing increasingly crowded and competitive. However, a recent trend has emerged that suggests Indian brands are finding a solution to this problem through the use of artificial intelligence (AI).
According to a new report from Growth Jockey, leading Indian D2C brands have successfully cut their customer acquisition costs (CAC) by up to 30% by leveraging AI-powered predictive signals to identify high-intent users early in the funnel. This approach has allowed these brands to optimize their advertising spend, reducing waste and increasing the effectiveness of their marketing efforts.
So, how are Indian brands achieving this impressive feat? The answer lies in the use of Intellsys, a cutting-edge AI platform that uses machine learning algorithms to map micro-moments across the customer journey. By analyzing vast amounts of data, Intellsys is able to identify patterns and behaviors that indicate a user is highly likely to convert, allowing brands to target these individuals with tailored advertising campaigns.
The traditional approach to customer acquisition often involves blanket campaigns, where brands cast a wide net in the hopes of catching a few fish. However, this approach is not only expensive but also wasteful, as many users who are not interested in the product or service are targeted. By using Intellsys, Indian brands are able to reverse this approach, focusing on high-intent users and targeting them with precision and accuracy.
One of the key benefits of using Intellsys is its ability to identify users who are in the “zone of intent”, a critical moment in the customer journey where users are most likely to make a purchase. By targeting these users with relevant and timely ads, Indian brands are able to capitalize on their intent and increase the chances of conversion.
Another advantage of Intellsys is its ability to analyze and optimize ad campaigns in real-time. This allows brands to quickly identify which ads are performing well and which are not, making data-driven decisions to optimize their campaigns and maximize ROI.
The results speak for themselves. According to Growth Jockey, Indian brands that have implemented Intellsys have seen a significant reduction in CAC, with some brands reporting a decrease of up to 30%. This is a game-changer for businesses that are looking to scale their customer acquisition efforts while maintaining profitability.
So, what does this mean for Indian D2C brands? The implications are clear: by leveraging AI-powered predictive signals and mapping micro-moments across the customer journey, Indian brands can optimize their advertising spend, reduce waste, and increase the effectiveness of their marketing efforts.
In conclusion, the use of AI-powered predictive signals is revolutionizing the way Indian D2C brands approach customer acquisition. By identifying high-intent users early in the funnel and targeting them with precision and accuracy, Indian brands are able to cut their CAC by up to 30%. As the digital landscape continues to evolve, it’s clear that AI will play an increasingly important role in helping businesses achieve their goals.
Source:
https://www.growthjockey.com/blogs/how-top-indian-brands-are-cutting-cac-by-30-with-intellsys
