How to Do WhatsApp Marketing: 16 Real Case Studies, and the Results Each One Reported
From a 3-point brand awareness lift to a 14X sales increase: sixteen published WhatsApp marketing case studies, what each one actually built, and how to replicate the mechanism with SendPulse.

Key Takeaways
- Sixteen published WhatsApp marketing case studies report results ranging from a 3-point lift in brand awareness to a 14-times increase in sales, with several brands reporting conversion rates several times higher than email.
- The single most consistent, repeated result across every case study here isn’t sales, it’s response speed and open rates: WhatsApp messages are opened faster and more often than email, SMS or paid ads in every case that measured it.
- Every mature deployment in this list runs on the same underlying mechanism, WhatsApp’s Business Platform paired with a messaging partner or automation layer, not a custom-built bot from scratch.
- Every result in this article is self-reported by the brand or its technology partner, and several of the source case studies say so explicitly; none of the figures here are independently audited.
- SendPulse offers the same core building blocks these case studies used, an official WhatsApp Business API integration, automated flows and an AI chatbot builder, on a platform a business without an existing messaging partner can start using directly.
TLDR
- WhatsApp marketing case studies from brands including Flipkart, Unilever, TENA, Knorr, Clarins, NatWest Group and Dermalogica report a wide spread of results, from double-digit percentage lifts in ad recall to multiples of email’s conversion rate to, in Flipkart’s case, USD 2.5 million in campaign revenue and, in Unilever’s Brazilian laundry campaign, a 14-times increase in sales.
- Looked at together rather than individually, the pattern is narrower than the headline numbers suggest. Every case study that compared WhatsApp against another channel, email, SMS or paid ads, reported WhatsApp winning on open rate, response time or conversion rate, sometimes by a wide margin: NatWest Group reported responses 10 times faster than SMS, Clarins reported a 90% open rate and 4.5 times email’s open rate, and TENA reported a conversion rate five times higher than email, SMS and ads combined.
- The mechanism behind nearly every deployment here is the same: a business connects to WhatsApp’s Business Platform through an official messaging partner or automation provider, then builds a structured, mostly automated conversation, an opt-in flow, a product catalogue, a quick-reply menu, rather than free-form chat. Jack Wolfskin’s opt-in flow, M1’s WhatsApp Flows preorder journey and TENA’s AI assistant Tina all follow this same structural pattern despite being built by different partners for different industries.
- Every figure in this article is self-reported by the brand, its marketing partner, or WhatsApp’s own published case study library, and several of the individual case studies carry an explicit disclaimer that their results are self-reported and not independently verified. This publication is reporting what was published, not independently auditing it, and flags that distinction throughout rather than presenting these numbers as verified fact.
- SendPulse covers the same mechanism these sixteen case studies used, official WhatsApp Business API access, automated opt-in and campaign flows, and an AI chatbot builder, without requiring a business to first find and contract a specialist messaging partner the way Jack Wolfskin, TENA, Knorr, NatWest Group, Clarins and Dermalogica all did.
WhatsApp marketing case studies tend to get cited one at a time, usually the single most dramatic number a brand’s press team wanted to lead with. Read sixteen of them together, drawn from WhatsApp’s own published success story library and independent WhatsApp marketing platforms, and a more useful picture emerges: what these campaigns actually built, technically, and which results showed up often enough to be a pattern rather than an outlier. This is a broad, listicle-format rundown of what each one reports, followed by a practical breakdown of how to build the same kind of campaign using SendPulse.
1. Maggi Germany: a WhatsApp chatbot cooking curriculum
Maggi built a free virtual cooking course delivered entirely through a WhatsApp chatbot named Kim, giving step-by-step instructions, technique videos, ingredient substitution suggestions and real-time answers to cooking questions. In its first eight weeks, the chatbot sent 200,000 messages, and Maggi reported a 4.2-point lift in standard ad recall and a 3-point lift in campaign awareness, brand-tracking metrics rather than sales figures.
2. Absolut Vodka: a WhatsApp-native character campaign
In Argentina, Absolut built an interactive campaign around a virtual doorman character called Sven, who users had to convince via WhatsApp, through videos, photos, songs and voice notes, to earn tickets to a party. The campaign generated more than 1,000 pieces of user-generated content in three days and brought in 600 new contacts, alongside what the case study describes as significant social media buzz.
3. Flipkart: a celebrity chatbot during a major sale event
For its “Big Billion Days” sale, Flipkart built an automated chatbot featuring a virtual persona of Bollywood star Amitabh Bachchan, offering puzzles, emoji games and personalised product recommendations. Flipkart reported 3.5 times more conversions, 7 times more high-quality visitors, and USD 2.5 million in revenue attributed to the campaign, the largest single revenue figure in this set.
4. Omay Foods: WhatsApp as a retargeting and B2B support channel
Omay Foods integrated WhatsApp buttons across its website, Instagram and Facebook to guide customers through ordering and to give retailers instant B2B support. The company reported a 5 times increase in customer inquiries compared with email, a 3 times increase in repeat customers, a 5 times increase in retail channel sales, and a 43% reduction in how long its sales cycle took.
5. Lenskart: a personalised WhatsApp flash sale
Lenskart ran an automated Valentine’s Day “Buy 1 Get 1 Free” campaign with an additional 14% discount and cashback, personalising offers using each customer’s browsing history and following up post-purchase with styling tips. The published results are directional rather than numeric: higher open rates than traditional ads, increased website traffic and sales, and lower overall marketing costs.
6. Unilever: 10,000 billboards pointing at one WhatsApp number
Unilever placed more than 10,000 billboards across Brazil, each carrying a WhatsApp number connected to a chatbot called MadameBot, which delivered clothing-care tips, sustainability advice and laundry hacks alongside a 50% discount offer. The campaign generated 290,000 messages from 12,000 unique customers and, most strikingly, a 14 times increase in sales, the largest multiple reported anywhere in this set.
7. Vodafone: an AI support chatbot that shifted call centre volume
Vodafone built TOBi, an AI-powered WhatsApp chatbot able to recognise more than 250 customer intents, handle account queries, troubleshoot issues, process service changes, and escalate to a human agent when needed. More than 1,000 customers engaged with TOBi on its first day; six months in, 10% of call centre requests had shifted to messaging; and at scale, TOBi served more than 200,000 customers a month with a 52% self-resolution rate, meaning roughly half of those conversations never needed a human agent at all.
8. Hellmann’s: live recipe help from real chefs over WhatsApp
Hellmann’s “WhatsCook” campaign connected customers directly to professional chefs over WhatsApp: users sent photos of the ingredients they had on hand and received custom recipes with real-time guidance. Half of the campaign’s website visitors signed up, the campaign generated 5 million direct brand interactions and 500 new recipes, and it went on to expand into five countries.
9. Jack Wolfskin: a cookie-replacement opt-in strategy
Facing the decline of third-party cookies and a customer base skewing toward WhatsApp over email, outdoor brand Jack Wolfskin built an automated double opt-in flow using the charles platform’s Journeys automation feature, asking three data-collection questions about a customer’s style interests and activities before tagging and storing their profile. “Cookies are dying and we’re searching for alternative ways to learn about our customers,” said Michael Walter, Jack Wolfskin’s Senior Direct Marketing Manager. The opt-in flow reported a 90% completion rate, campaigns reported click-through rates above 30% generally and 23% specifically on a Women’s Day campaign, and half of everyone who signed up for the WhatsApp newsletter was already a loyalty programme member.
10. M1: rebuilding a phone preorder as a WhatsApp conversation
Singapore telecoms provider M1 partnered with Meta Business Messaging Partner ADA to rebuild its mobile phone preorder process as a structured conversation using WhatsApp Flows, a tool for guiding customers step by step through browsing, selecting a model, adding it to a cart and scheduling pickup, replacing a slow, form-heavy process that had previously driven high call-centre volume. Over roughly two weeks in February and March 2025, M1 reported a 55% increase in sales compared with its traditional approach, a reduction in average customer time from five minutes to under two, and more than 3,000 active sales conversations without abandonment. “By partnering with ADA and WhatsApp, we were able to reimagine the preorder experience by bringing it to life entirely on mobile,” said Desmond Ng, M1’s General Manager of Marketing Technologies.
11. TENA: turning a stigmatised product category into a conversation
TENA, Essity’s adult incontinence brand, faced a specific obstacle in Mexico: stigma around incontinence made customers reluctant to ask questions openly. Working with Meta Business Messaging Partner Auronix, TENA built an AI-enabled assistant called Tina, letting customers compare products, buy through linked pages, track orders, manage loyalty points and reach a human advisor privately over WhatsApp. Over an eight-month period, TENA reported a 91% year-over-year increase in WhatsApp sales, a conversion rate 5 times higher than email, SMS and ads combined, a 4.3 times higher return on investment than other paid channels, and a 4.3 times lower cost per acquisition. “Since launching Tina on WhatsApp, we’ve transformed how we connect with consumers by providing a familiar, relatable channel that simplifies processes and opens new sales avenues,” said Daniel Camou, TENA’s Senior Brand Manager.
12. Knorr Mexico: a celebrity AI experience aimed at Gen Z
To reach younger Mexican consumers, Knorr partnered with reggaeton artist El Malilla on an AI-driven WhatsApp experience built on WhatsApp Flows, offering AI-generated exclusive voice messages, personalised photos alongside the artist, and AI-powered recipe recommendations. Over roughly ten weeks, the campaign engaged 429,854 people and generated almost 2 million spontaneous messages, and Knorr reported a 35.1-point lift in ad recall, a 33.6-point lift in brand awareness, and a 3.5-point lift in purchase intent, among the largest brand-metric shifts reported anywhere in this set. Sergio Laurel, Unilever’s Media & Performance Ecommerce Manager, called it a campaign that “evolves its years of tradition by teaming up with the neighborhood’s bad boy, reggaeton icon El Malilla.”
13. The Little Farm Co: cutting acquisition costs for a small Indian food brand
Founded by Niharika Bahargave, The Little Farm Co had already generated 7,584 purchases from USD 30,000 in sales campaigns before acquisition costs began rising. The brand switched to Meta’s Ads That Click to WhatsApp, using video and GIF ads with Advantage+ placement optimisation, backed by the WhatsApp Bot API for automated customer service and catalogue sharing. The company reported a 46% increase in customer messages and a 32% reduction in customer acquisition costs, and went on to generate more daily sales through WhatsApp than any other channel, growing its team to include 20 women farmers in remote Indian states. “After extensive sales campaign efforts with other non-Meta solutions, we found WhatsApp and transformed our business,” said Bahargave.
14. NatWest Group: replacing SMS for cheque verification
NatWest Group’s Cheque Exceptions Team had relied on SMS to verify business cheques that couldn’t be processed automatically, a channel with low engagement and no visibility into whether a message had even been read. Working with Meta Business Messaging Partner LivePerson, NatWest Group moved to WhatsApp utility messages with quick-reply buttons and delivery/read confirmations. The bank reported responses 10 times faster than SMS and an 83% reduction in average cost per message, alongside a high customer satisfaction score, and said SMS usage dropped to rare instances only. “Utility messages on WhatsApp have been a game changer compared to traditional contact methods such as SMS. The simplicity and familiarity resonate strongly with both customers and colleagues,” said Amanda Scott, NatWest Group’s Head of Contact Channels.
15. Clarins France: a seasonal campaign that beat email decisively
For National Lipstick Day, Clarins partnered with WhatsApp marketing provider WAX to send opted-in French customers a personalised campaign asking them to pick a preferred lipstick style, intense colour, glossy or lip-plumping, before showing video content and redirecting to personalised product recommendations. Over a roughly two-week window, Clarins reported a 90% open rate, 4.5 times email’s open rate, and a conversion rate 7 times higher than email. “The power of WhatsApp lies in its ability to facilitate meaningful connections with customers who have explicitly chosen to hear from us,” said Stéphanie Catarino, Clarins France’s Director of Ecommerce, Acquisition & CRM.
16. Dermalogica: one-to-one skincare consultations by chat
Dermalogica wanted to extend the personalised, one-to-one skincare consultations it offered in stores onto a mobile channel, without losing that individual quality. Working with charles, a Meta Business Partner in conversational commerce, Dermalogica integrated the WhatsApp API with its existing commerce and marketing systems to offer live consultations, automated marketing journeys, photo and video exchange, and monthly promotions. Over a seven-month period, Dermalogica reported 1.7 times more revenue per recipient than email, a 1.9 times higher open rate, and a 5 times higher click-through rate. “One-to-one consultations in WhatsApp are helping us achieve our goal of increasing customer engagement,” said Louisa Schiminski, Dermalogica’s Ecommerce Marketing Manager.
What these sixteen case studies actually have in common
Stripped of the individual brand stories, the same handful of mechanisms repeat across nearly all sixteen. Almost none of these campaigns are a person typing free-form replies to customers; nearly all of them are a structured, mostly automated flow, an opt-in sequence like Jack Wolfskin’s, a guided product journey like M1’s and Knorr’s, built using WhatsApp Flows, or an AI assistant handling a bounded set of tasks like TENA’s Tina or Vodafone’s TOBi. Every single case study that measured WhatsApp against another channel directly, Omay Foods against email, TENA against email, SMS and ads, Clarins against email, Dermalogica against email, NatWest Group against SMS, reported WhatsApp winning, and usually by a multiple rather than a percentage: 4.5 to 7 times for Clarins, 5 times for TENA and Dermalogica, 10 times for NatWest Group. And nearly every deployment here ran through an official WhatsApp Business Platform connection via a named Meta Business Messaging Partner, ADA, Auronix, LivePerson, WAX or charles, rather than a bot built entirely in-house from scratch.
It’s also worth being direct about what these numbers are not. Several of the individual case studies, M1’s, TENA’s, Knorr’s and Dermalogica’s among them, carry an explicit note that their results are self-reported and not independently verified. That doesn’t make the figures false; it means they come from the brand or its marketing partner, both of whom have an obvious interest in the campaign looking successful, and none of the sixteen case studies referenced here has been checked against an outside audit. Treat the individual numbers as a brand’s own account of what happened, not as an independently confirmed benchmark for what any other business should expect.
How to build the same kind of campaign with SendPulse
None of the sixteen brands above needed to build a WhatsApp bot from raw code; every one of them worked through an official platform connection and, in most cases, a specialist messaging partner. SendPulse covers that same layer directly, an official WhatsApp Business API integration with the 24-hour free session window WhatsApp grants for customer-initiated conversations, without a business first needing to find and contract a partner the way Jack Wolfskin worked with charles or NatWest Group worked with LivePerson.
The building blocks map onto the patterns above fairly directly. An opt-in and data-collection sequence like Jack Wolfskin’s can be built in SendPulse’s Automation 360, a multichannel, event-triggered workflow builder, rather than a bespoke Journeys implementation. A structured, guided conversation like M1’s or Knorr’s preorder and product-discovery flows maps onto SendPulse’s AI Step Element, which handles open-ended customer input and tags users by intent inside an automated flow. And an AI assistant along the lines of TENA’s Tina or Vodafone’s TOBi, handling routine questions and escalating to a human when needed, is what SendPulse’s AI chatbot builder, integrated with OpenAI and available across WhatsApp, Instagram, Telegram, Facebook and a company’s own website, is built to do; it automatically detects the language of each message and can hand off to a human agent with full conversation context, the same escalation pattern Vodafone’s TOBi and TENA’s Tina both use. None of that guarantees a 14-times sales increase or a 91% year-over-year jump, and this article isn’t claiming it will; what it does offer is the same class of tooling, official API access, automated flows, AI-assisted conversation, that every case study above was actually built on.
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