Welcome to the collaborative journey of Symphony and CustomFit.ai, where innovation meets experimentation to enhance user engagement and maximize conversions. By running strategic personalization experiments, Symphony set out to discover whether price-based offers or percentage-based offers drive stronger performance among their digital shoppers.

Through CustomFit.ai’s advanced personalization capabilities, Symphony was able to test and compare multiple variants of their product pages, ultimately uncovering valuable insights into consumer behavior and purchase triggers.

‍

Brand Background

Symphony is a leading air cooler brand trusted by millions of households. Known for innovation, energy efficiency, and affordability, Symphony has become a household name in the personal cooling solutions category. With a commitment to optimizing customer experience, Symphony partnered with CustomFit.ai to refine their product page strategies and amplify conversions.

‍

Experiment 1: Price-Based Offer vs Default

Objective:
Increase clicks on “Buy Now” and “Add to Cart” buttons by introducing a price-based discount banner.

Methodology:

• A personalized product page was created highlighting a flat price discount (“₹2,500 Off”).
  
  
• This was tested against the default product page without explicit price-based discount messaging.

‍

Results:

• The personalized price-based variant outperformed the default version.
  
  
• Shoppers responded more positively to direct monetary savings compared to no special offer.
  
  
• Notable lift in engagement and add-to-cart actions.
  
  

Insights:

• Customers perceive direct rupee savings as more tangible and compelling than generic offers.
  
  
• Price clarity reduces hesitation and builds urgency to purchase.
  
  

‍

Experiment 2: Percentage-Based Offer vs Default

Objective:
Evaluate whether customers resonate better with default or percentage-based savings.

Methodology:

• Personalized variant A: Displayed flat savings (“₹2,500 Off”).
  
  
• Personalized variant B: Displayed percentage savings (“28% Savings”).
  
  
• Both were tested against the default product page.
  
  

Results:

• The price-based variant outperformed both the percentage-based variant and the default version.
  
  
• Clear monetary savings proved to be a stronger motivator than percentage-based messaging.
  
  
• Conversion uplift was driven by improved trust and easier comprehension.
  
  

Insights:

• Consumers quickly grasp exact rupee value saved, while percentages often require mental calculation.
  
  
• For high-volume consumer products, direct savings messaging builds stronger purchase intent.
  
  

‍

Conclusion

The Symphony–CustomFit.ai partnership highlights the power of experimentation and personalization in driving measurable business outcomes.

• Experiment 1 confirmed that price-based discounts outperform standard product pages.
  
  
• Experiment 2 further validated that absolute savings messaging surpasses percentage-based offers, with users preferring clarity over relativity.
  
  

By leveraging these insights, Symphony has optimized its digital strategy to align with customer psychology, resulting in significant improvements in engagement and conversions.

This case study underscores the importance of tailored personalization strategies and rigorous A/B testing in shaping customer journeys and accelerating growth in competitive digital markets.