Indian Brands Slash CAC by 30% using AI
In today’s digital landscape, cutting costs while maintaining performance is a top priority for e-commerce businesses. One of the most significant challenges many Indian D2C brands face is the high cost of customer acquisition (CAC). However, a recent study reveals that leading Indian D2C brands have discovered a game-changing solution to tackle this issue: AI-powered predictive signals.
According to the study, Indian brands that have implemented Intellsys’ predictive signals have seen a significant reduction in their CAC by up to 30%. But how exactly do these brands achieve this remarkable feat? Let’s dive deeper to understand the science behind this innovation.
The Problem with Traditional Marketing
For many Indian D2C brands, traditional marketing strategies often involve blanket campaigns, where they target a wide audience with generic ads. This approach can be costly and inefficient, as it fails to identify high-intent users early in the funnel. As a result, brands end up wasting resources on users who are not interested in their products, leading to a higher CAC.
The Power of AI-Powered Predictive Signals
Intellsys’ predictive signals leverage machine learning algorithms to analyze user behavior and identify micro-moments across the customer journey. These micro-moments are critical moments when users are most likely to convert, such as when they’re searching for products online or reading reviews. By mapping these micro-moments, AI can pinpoint high-intent users early in the funnel, allowing brands to target them with personalized ads.
How Indian Brands are Cutting CAC
Several leading Indian D2C brands have successfully implemented Intellsys’ predictive signals to slash their CAC by up to 30%. Here are a few examples:
- FilterCopy: A popular Indian entertainment and lifestyle platform, FilterCopy used Intellsys’ predictive signals to identify high-intent users early in the funnel. By targeting these users with personalized ads, FilterCopy saw a significant reduction in CAC, allowing them to allocate more resources to high-performing campaigns.
- Zivame: India’s leading lingerie brand, Zivame, used Intellsys’ predictive signals to optimize their ad targeting. By identifying high-intent users and serving them relevant ads, Zivame reduced their CAC by up to 30%, allowing them to scale their marketing efforts more efficiently.
- Licious: A growing Indian food delivery brand, Licious, used Intellsys’ predictive signals to improve their ad targeting. By identifying users who were most likely to convert, Licious reduced their CAC by up to 30%, allowing them to allocate more resources to customer acquisition.
The Benefits of AI-Powered Predictive Signals
So, what makes AI-powered predictive signals so effective in cutting CAC? Here are a few benefits:
- Improved Ad Targeting: By identifying high-intent users early in the funnel, AI-powered predictive signals allow brands to target users who are most likely to convert, reducing waste and improving ad efficiency.
- Increased Conversion Rates: By serving users with personalized ads, AI-powered predictive signals can increase conversion rates, leading to a higher return on ad spend.
- More Accountable Marketing: By mapping micro-moments across the customer journey, AI-powered predictive signals provide brands with a clear understanding of how users interact with their ads, allowing them to make data-driven decisions.
Conclusion
In today’s competitive e-commerce landscape, cutting costs while maintaining performance is a top priority. Indian D2C brands that have implemented Intellsys’ predictive signals have seen a significant reduction in their CAC by up to 30%. By leveraging AI-powered predictive signals, these brands can identify high-intent users early in the funnel, target them with personalized ads, and reduce waste.
As the digital landscape continues to evolve, it’s clear that AI-powered predictive signals will play a critical role in helping Indian brands achieve their marketing goals. By adopting this innovative approach, Indian brands can stay ahead of the competition, reduce their CAC, and drive more conversions.
Source:
https://www.growthjockey.com/blogs/how-top-indian-brands-are-cutting-cac-by-30-with-intellsys
