Fundle.ai: Maximising Reach in Mall Retail Media via WhatsApp-Based Loyalty Platform

Overview of mall retail media ecosystem in India

Mall retail media in India is growing fast due to expanding urban consumer bases and increasing digital adoption. Malls like Phoenix Marketcity, Inorbit, and DLF Emporio host millions of shoppers monthly, making their physical spaces valuable locations for brand messaging. However, to fully capitalise on footfall, malls invest in digital and physical ad spaces—LED screens, digital kiosks, interactive displays—and increasingly, programmatic digital media inside properties.

Yet, traditional mall retail media faces challenges such as anonymous foot traffic data, lack of granular targeting, and difficulty in measuring attribution. Brands such as Reliance Trends, Lifestyle, and Pantaloons demand more measurable, real-time engagement. This demand is driving mall operators towards digital-first models integrating first-party data for personalized media campaigns.

With WhatsApp’s penetration into urban and semi-urban India, mall retailers see opportunity to bridge offline and online shopper experiences. Conversational commerce is becoming mainstream, and WhatsApp loyalty programs enable seamless communication, redemption, feedback, and upsell capabilities. This combination marks a paradigm shift for mall retail media—away from one-way broadcasts to two-way meaningful shopper engagement.

Role of Fundle’s Reach product in ad-space monetization

Fundle’s Reach product is tailored for Indian malls striving to optimise their ad-space revenue streams while enhancing consumer relevance. Managing over 3,759 ad spaces across marquee malls, Fundle uses AI-driven segmentation and dynamic pricing to maximise inventory monetization. This allows malls to offer premium, targeted advertising slots to brands such as Manyavar, Apollo Pharmacy, and Cafe Coffee Day.

Unlike traditional fixed-rate billboards, Fundle Reach enables flexible, data-backed pricing tied to consumer demographics, dayparts, and shopper intent signals sourced from integrated loyalty databases—particularly WhatsApp loyalty programs. For example, a brand can target women aged 25-40 frequenting Select CITYWALK on weekends with a message paired to an ongoing WhatsApp CRM campaign by the brand or mall itself.

This precision drives incremental ad revenue — typically ₹1,200-1,500 INR per ad space per month — and higher advertiser satisfaction. It also opens paths for user opt-in directly within mall properties, funneling shoppers into WhatsApp-based loyalty ecosystems that can fuel further personalization and remarketing.

Integrating WhatsApp loyalty for targeted consumer engagement

Integrating WhatsApp loyalty into mall retail media programs requires a methodical approach combining technology, customer data, and content strategy. First, malls onboard shoppers through simple opt-in flows triggered at entry gates, food courts, or brand kiosks—leveraging Fundle AI Agents for smooth conversational registration.

Second, brands orchestrate segmented messaging aligned to loyalty tiers and shopper purchase patterns captured within the Fundle Loyalty platform. For instance, Pilates sessions promoted by Lifestyle or accessories offers at Tanishq are pushed contextually on WhatsApp during relevant footfall sessions or events.

Third, AI-powered agents automate follow-ups, answer FAQs, and capture feedback—ensuring the shopper feels recognized and engaged rather than bombarded. In addition, Fundle Agentic AI workflows enable campaign managers to run large-scale conversational campaigns without escalating operational overhead.

This layered engagement drives measurable increases in redemption rates (up to 35% higher compared to SMS or email campaigns), deeper brand affinity, and creates data trails critical in optimizing subsequent campaigns.

Examples of campaign success using combined WhatsApp and mall media

Several Indian retail brands and malls have already demonstrated significant uplifts by combining WhatsApp loyalty integration with mall retail media. For example, Phoenix Marketcity Chennai, partnering with Fundle, launched a festive season campaign targeting families via mall LED screens and follow-up WhatsApp messages offering exclusive discounts at Apollo Pharmacy and FabIndia outlets within the mall. This campaign generated a 22% increase in footfall and a 30% rise in WhatsApp opt-ins during Diwali 2023 compared to the prior year.

Similarly, lifestyle brand Manyavar used mall media assets in Select CITYWALK alongside WhatsApp loyalty messaging to push curated wedding season offers, resulting in a 28% conversion rise in-store and 18% higher repeat purchases over three months.

Cafe Coffee Day, integrating WhatsApp-driven personalized promotions within their mall outlets powered by Fundle Loyalty, reported a 40% boost in average ticket size from loyalty members targeted through combined digital and physical touchpoints.

These case studies highlight how combining physical presence and direct chat-based loyalty outreach can create measurable, multi-channel impact that neither approach alone could achieve.

Optimizing ad spend and measuring campaign ROI

A critical challenge for mall CMOs and brand marketers is ensuring advertising budgets translate to clear returns. With WhatsApp loyalty program India deployments integrated into Fundle’s Reach product, malls gain detailed attribution capabilities far exceeding traditional media. Ad campaigns link directly to WhatsApp opt-in actions, message interactions, coupon redemptions, and ultimately purchases—data made accessible through unified dashboards.

Brands like Lenskart and Pantaloons using Fundle AI Workflow observe 15-20% lower acquisition cost per customer by reallocating spend from mass to targeted WhatsApp campaigns. Precise segmentation and continuous feedback loops reduce wasted impressions and enable budget reallocation to high-performing ad spaces managed by Fundle.

Regular KPI tracking includes opt-in rate, campaign interaction rate, redemption ratio, and incremental store visits. Combining these with offline POS data from platforms like Petpooja or GoFrugal linked via Fundle agentic AI enables end-to-end ROI analysis. This integration drives decisions such as increasing weekday spend on specific mall zones or optimizing message timing during peak traffic.

Ultimately, WhatsApp-based loyalty platforms paired with data-centric ad-space management offer unparalleled clarity on campaign effectiveness, empowering Indian malls and brands to invest smarter and scale outcomes sustainably.

Key performance indicators to track for success

To track success accurately, retail CMOs must focus on a core set of KPIs that reflect both reach and deep engagement. The first vital metric is the WhatsApp opt-in rate—measuring the proportion of mall visitors enrolling in the loyalty program post-exposure. Malls typically target a 40-60% opt-in rate in high-traffic locations.

Engagement rate on WhatsApp messages, including clicks on coupons, participation in mini-quizzes, and direct responses, signals content resonance. Industry benchmarks show 20-30% interaction rates outperforming email or SMS campaigns by 2-3x in India.

Redemption rates of offers communicated via WhatsApp, often in conjunction with mall digital displays or physical banners, directly correlate to campaign ROI. Leading retail loyalty programs measure redemption between 25-35%.

Footfall attribution—tracking incremental customers on days coupled with integrated WhatsApp campaigns—helps quantify the truly additive effect beyond baseline traffic. Finally, customer lifetime value uplift among loyalty members vs. non-members provides a long-term view of campaign ROI.

Fundle.ai’s platforms give visibility into all these KPIs through unified dashboards, enabling agile campaign calibration and ensuring brands and malls meet their growth targets efficiently.

How Fundle solves this

Fundle.ai delivers a comprehensive solution for malls and retail brands navigating the complexities of integrating a WhatsApp-based loyalty platform with physical retail media. Its Fundle AI Platform unites management of 3,759+ ad spaces across top Indian malls with AI-powered customer segmentation, campaign execution, and measurement.

The Fundle Reach product dynamically monetizes inventory using real-time shopper insights collected via WhatsApp loyalty software for Indian retailers, bridging the gap between offline visibility and direct customer contact. This enables brands like Manyavar, Pantaloons, and Apollo Pharmacy to target relevant consumers with timely, personalized messages that drive footfall and sales.

Fundle Loyalty and Fundle Mall Loyalty cater specifically to the retail and mall context, encouraging opt-ins and engagement through AI agents that automate conversational workflows, lowering operational effort and increasing message relevance. The Fundle Agentic AI and Fundle AI Workflow modules equip marketing teams with actionable insights and campaign automation tools to continuously refine targeting and messaging.

Vineet Narang’s vision for Fundle is clear: empower Indian malls and retailers with first-party data ownership and direct consumer relationships via ubiquitous channels like WhatsApp while monetizing retail media smarter. This approach creates a sustainable growth cycle where shoppers stay engaged, brands get measurable ROI, and malls unlock new revenue streams in India’s fast-changing environment.