How an automotive company personalized reviews for prospective buyers

September 4, 2024

The customer

Bajaj Auto is a renowned Indian multinational two-wheeler and three-wheeler manufacturing company. Known for its innovative approach and customer-centric designs, Bajaj Auto has consistently focused on providing exceptional value to its customers. The company recently launched a unique and personalized marketing campaign aimed at enhancing customer engagement and showcasing its latest bike features.

Website: https://www.bajajauto.com/

Industry: Automotive

The campaign - Personalized Reviews

Bajaj Auto’s campaign was a groundbreaking initiative aimed at providing personalized and detailed bike reviews to potential customers. The campaign utilized WhatsApp as the primary platform, allowing users to select their preferred language, reviewer, and the specific bike features they wanted to know more about. This approach enabled Bajaj Auto to deliver customized video reviews tailored to individual preferences.

Challenge

The primary goal was to engage potential customers by providing personalized and relevant information about Bajaj Auto’s new bikes. The company wanted to leverage the popularity of well-known automotive journalists and the convenience of WhatsApp to create an interactive and personalized customer experience.

Solution

Gan.AI played a crucial role in the campaign by enabling the creation of personalized video reviews. The process began with an informed consent phase involving all stakeholders, including the automotive journalists.

Using proprietary AI technology, Gan.AI trained generative AI models to accurately map the journalists’ facial features, expressions, and movements. Additionally, the journalists' voices were cloned. This allowed for the seamless integration of personalized elements into the video reviews.

Personalization included:

  1. Text personalization at the start, displaying the user's first name.
  2. Voice and lip-sync personalization, with the reviewer calling out the user's first name.
  3. Location mention, where the reviewer acknowledged the user's city.

The campaign also featured personalized scene selection, allowing users to choose specific bike features they were interested in, such as handling, performance, safety, style, mileage, and connectivity. The final personalized video was then seamlessly stitched together based on the selected features, ensuring that each recipient received a video tailored to their preferences.

User information, including first name, location, and feature preferences, was collected through a WhatsApp chatbot before generating the personalized video. These videos were generated and delivered in minutes, ensuring a prompt and engaging user experience.

Key results

📈 Increased customer engagement through personalized video reviews

🔍 Enhanced awareness about the bike features and specifications

🗣️ Positive feedback from customers and industry experts

Features used

  • AI-personalized voice cloning
  • AI-personalized lip-sync
  • Personalized scene selection

Delivery method

WhatsApp + Dedicated microsite

Chat flow-

How it works

  1. AI-personalized visual: Gan.AI created personalized video reviews featuring well-known automotive journalists in five languages: English, Hindi, Kannada, Bengali, Tamil and Malayalam.
  2. AI-personalized voice cloning: Gan.AI replicated the journalists’ voices to call out the first name and location of the recipient by all the reviewers.
  3. Data collected through a WhatsApp chatbot: Users provided their first name, location, and specific bike features they wanted to learn about, such as handling, performance, safety, style, mileage, and connectivity.
  4. Personalized videos were generated and seamlessly stitched together based on the selected features, including text and voice call-outs of the user’s first name and location mention.
  5. These personalized videos were delivered via WhatsApp in minutes, featuring customized content based on the user's preferences.

The results

The Personalized WhatsApp Reviews campaign achieved remarkable success, exceeding Bajaj Auto's expectations. The campaign significantly increased customer engagement, with users appreciating the personalized and detailed information provided.

Bajaj Auto reported a substantial rise in customer inquiries and test ride bookings. The campaign also received positive feedback from both customers and industry experts, highlighting the innovative use of AI technology in marketing.

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