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VAHAN CASE STUDY

60% SQLS. CAC REDUCED TO ₹7

INTRODUCTION

ABOUT

Vahan, a Bengaluru-based company, has built an AI-driven virtual assistant integrated with WhatsApp that helps businesses automate various aspects of workforce engagement. The start-up has created a virtual assistant in English and local languages and has tied up with clients such as Dunzo, Club Mahindra, Uber, Cure.fit, Swiggy, and BigBasket.

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CHALLENGE

Vahan was facing the challenge of reaching out to the blue-collar workers in the digital media which resulted in high CAC.

GOAL

To crack the user behavior of blue-collar workers to identify them on social media and target.

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RESULTS

EXECUTION STRATEGY

We had to crack the user behavior of blue-collar workers to identify them on social media and target. It is easy said than done due to the secrecy and lack of data over the web on how they use the web. After some challenging research and data collection we have identified potential behaviors that we think might work with right tweaking.

We refined the current generic targeting to very specific audience on multiple channels based on our findings, we created user personas to further understand our target audience’s online psycho-graphic based on the campaigns that performed.
Once we understood how to reach the target audience we quickly started a/b testing the creatives, landing pages, and copies and understood that the best way to communicate the message out to the blue-collar workers was by customizing the creatives using the local language.

We were able to hit their target CAC of Rs 7.
Within 3 months of starting, we increased the traffic to 10x and were able to achieve a sustainable growth of 100% month on month.

SERVICES DEPLOYED

Conversion Rate

Scale Up

User Research

Testimonials that make us cartwheel with joy

Lets Talk!

Get in touch with us and let’s make magic happen!