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How We Built a High-Performance Retention Engine That Protected ₹29Cr+ Revenue for a Nutrition & Fitness Brand

How We Built a High-Performance Retention Engine That Protected ₹29Cr+ Revenue for a Nutrition & Fitness Brand

How We Built a High-Performance Retention Engine That Protected ₹29Cr+ Revenue for a Nutrition & Fitness Brand

INDUSTRY

INDUSTRY

Fitness Industry

Fitness Industry

About the client

For the past 8 years, a fitness brand has been the quiet powerhouse of the Indian fitness industry. What started as a bootstrapped mission to bring honest, science-backed supplements to serious bodybuilders, has grown into a ₹200 Cr+ brand trusted by millions.
Unlike many brands that simply source products, they own the entire process from formulation to in-house manufacturing. They are WADA-compliant. Having built their foundation on marketplace dominance, they partnered with IncX to evolve their marketing systems and bring that same level of precision to their brand storytelling and customer retention. 

The Problem Statement

Retention in sports nutrition is not about sending generic automated emails. It is about delivering messages that are relevant to the customer at the right time without becoming a nuisance.

When IncX partnered with the brand, they had a lot of people who liked their products and a huge number of followers. However, they did not have a system in place to market to their customers at every stage of the buying process. They were not making money from keeping their existing customers, which they weren’t even tracking. Instead the brand was relying more on big campaigns to get new customers. 

Here are the key challenges the brand faced before IncX stepped in:

  • Every customer received identical communication regardless of purchase history or specific fitness goals.  

  • WhatsApp was treated as an ad-hoc broadcast tool rather than a central, high-converting lifecycle engine. 

  • Communication failed to distinguish between the core educational brand and its high-performance sub-brand lines. 

  • Customers replenish products at different consumption cycles depending on SKU and pack size. Without product-specific post-purchase or restock flows, the brand was leaking high-intent repeat revenue. 

How IncX Helped

How IncX Helped

IncX implemented a comprehensive WhatsApp-first retention framework. The plan was powered by KwikEngage that looks at every touchpoint of the customer lifecycle.

Step 1: Foundation, Infrastructure, & Tracking  

We established WhatsApp as the main way to talk to the customers throughout their journey along with email. We also used KwikEngage to track how much money our campaigns were making. 

Instead of giving discounts to get more customers, we focused on customer data organization, behavioral tracking, and robust CRM infrastructure. Within the six months this CRM foundation made ₹2.67 Cr in revenue, accounting for 10.5% of the total revenue from Shopify. 

Step 2: Strategic Brand Positioning & Voice 

We made a change in the way our brand sounds and we made it clear who we are talking to:  

  • The "Coach" Voice for the sub-brand: This voice is for bodybuilders and athletes. Adopting an authoritative and motivating tone, it focused on achieving personal bests and maximum performance. 

  • The "Educational" Voice for core brand: This voice is for people who are fitness enthusiasts. A lot of people in India are protein-deficient, so we tailor our messaging towards ingredient quality, raw nutrition and health literacy, and let the product quality drive sales over forced discounts. 

We also built smart segmentation so that “VIP customers” wouldn’t get anymore spammed messages. We completely rebuild the frequency and content strategy to protect the brand's reputation:

Segment

Send Frequency

Message Type

Champions / VIPs

Max 2/month

Exclusive, no generic sales

High spenders

2–3/month

Targeted, premium offers

Active Warm (8–30d)

2–3/month

Education-first, no discounts

Active Slipping (31–45d)

1–2/month

Light nudges, product reminders

Winback / Lost

1–2/month

Win-back offers

Step 3: Lifecycle Automation & Intent-Driven Journeys 

We made plans to help get back people who were interested but did not complete the purchase:

  • Pre-Purchase & Intent Recovery: AI-powered Browse Recovery, Abandoned Cart and Abandoned Checkout flows captured high-intent visitors.

  • Post-Purchase & Restock Workflows: Automated SKU-level post-purchase sequences and restock triggers timed around exact consumption cycles.

The plans made us a lot of money, about 10x–14x ROI, generating around ₹1.50 in revenue alone.

Step 4: Precision Segmentation & Behavioral Campaigns 

To avoid communication fatigue, we separated the customer base into groups:

  • City & Demographics: Citizens from Tier 1 cities received more refined and fancy messaging.

  • Value & Tiering: Made groups of customers into who spend a lot of money, some who spend an amount and some who do not spend much. 

  • Behavior & Recency: Observed who bought things for the time, who bought things again, who used our service recently and who stopped using it. Then we tried to get them back with special campaigns. 

We used WhatsApp and email campaigns along with automated messages to keep our customers interested without losing money. 



Results

The change to a behavior-driven retention engine gave the company operational strength right away across the first half of 2026: 

  • Revenue Protection: Even though the company got 10,499 fewer new customers because of market conditions the brand kept its top-line revenue the same. It made ₹29.05 Cr in the first half of 2026 compared to ₹29.37 Cr in the first half of 2025. If the company did not have this retention engine it would have needed to get around 70,000 new customers to do as well as it did.

  • The impact of CRM: The total revenue from CRM was ₹2.86 Cr, which is an average of ₹44.5 Lakhs per month. Automated flows made ₹1.50 Cr and targeted campaigns made ₹1.36 Cr.

  • The increase in Customer Value: 

  • Revenue from customers who came back grew by ₹82 Lakhs. 

  • Revenue per customer went up by 19.3% YoY (from ₹4,786 to ₹5,711).

  • The Average Order Value (AOV) on targeted segment flows went up 33% (from ₹1,682 to ₹2,233).

  • Consistently High ROI: The return on investment from automated journeys was consistently held between 10x and 14x ROI throughout the period. 

Conclusion

Conclusion

Conclusion

Through this partnership, IncX did not just deliver some short term benefits, but made a system that will keep working and growing with the brand. We used "WhatsApp- CRM infrastructure" and made special brand personas. We also used AI-driven browse recovery and made sure people got reminders to buy again when they needed to. This helped the brand keep a lot of money coming in and also made each customer more valuable. 

This project shows that long-term D2C growth isn't achieved by endlessly chasing new customers, but by maintaining a relevant, timely and valuable conversation with the customers you already have. 

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