MoEngage
Overview
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HQ Location
United States
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Year Founded
2014
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Company Type
Private
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Revenue
$10-100m
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Employees
201 - 1,000
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Website
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Twitter Handle
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Company Description
MoEngage is an insights-led customer engagement platform for the customer-obsessed marketers and product owners. MoEngage is a full-stack solution consisting of powerful customer analytics, AI-powered customer journey Orchestration, and personalization - in one dashboard.
IoT Snapshot
MoEngage is a provider of Industrial IoT platform as a service (paas), analytics and modeling, application infrastructure and middleware, networks and connectivity, cybersecurity and privacy, robots, and functional applications technologies, and also active in the apparel, consumer goods, e-commerce, equipment and machinery, finance and insurance, retail, telecommunications, transportation, and utilities industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
MoEngage’s Technology Stack maps MoEngage’s participation in the platform as a service (paas), analytics and modeling, application infrastructure and middleware, networks and connectivity, cybersecurity and privacy, robots, and functional applications IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Increasing User Reachability & Operational Efficiency: A BigBasket Case Study
BigBasket, India's largest online food and grocery store, faced two primary challenges. The first was creating awareness about its services and offerings, a common issue for any E-commerce brand. The company needed to focus on user reachability to increase its customer base. The second challenge was to grab its customers’ attention through the right channels in a timely manner and with the most relevant content. As one of the first movers in the grocery delivery segment, standing out from the crowd was crucial for BigBasket. They needed a solution that would allow them to reach more devices with their offerings and provide a personalized customer journey.
Case Study
Furlenco's Successful Transition to App-Driven Subscriptions Using Contextual Engagement
Furlenco, India's largest furniture subscription-commerce company, was facing a significant challenge in customer engagement and retention. Despite successfully driving app installs, the company was experiencing a low subscription ratio, which was impacting the number of subscriptions coming in from their mobile app. The team identified several customer drop-off points across the customer journey that needed to be addressed. These included reaching out to prospective clients, formulating messages for better subscription rates, determining the frequency of messaging, improving the acquisition and onboarding experience to retain customers, and making the post-onboarding process more meaningful and engaging.
Case Study
How GIVA Leveraged IoT to Boost Repeat Purchase Rates by 50%
GIVA, a rapidly growing silver and natural diamond jewelry brand in India, was facing several challenges in its customer engagement and retention strategy. Despite a heavy influx of customers, the company lacked a precise and relevant way to engage with them. This was leading to a high level of interest in their products but a low conversion rate. Furthermore, the probability of customers returning to the app to make repeat purchases was also relatively low. The company was in need of a solution that could help them engage their customers more effectively, increase conversions, and boost repeat purchase rates.
Case Study
Fynd's Remarkable 129% Increase in Retention Through Predictive Segmentation
Fynd, India's largest omnichannel platform for retail businesses, was facing a significant challenge with customer retention. Despite being a rapidly growing company, they found that only 2% of their customers were returning to the app within an 8-week period after signing up. This low retention rate was directly impacting their revenue metrics. Upon investigation, the growth team at Fynd discovered that customers were receiving irrelevant emails, leading to low open rates of just 3% from a customer base of 15,000. This situation was not only ineffective but also risked annoying customers and causing further churn. Fynd needed a solution that would allow them to identify customers who would respond positively to marketing communication and exclude those who would react negatively. They also needed to optimize their marketing efforts to ensure every communication was relevant to each customer without increasing campaign costs.
Case Study
S'more's Success in Increasing Onboarding Completion Rate to 85% with MoEngage and Amplitude
S’More, a next-generation dating app, was facing challenges in creating personalized experiences for its users. The app, which focuses on creating meaningful relationships based on common interests, opinions, and values, was looking for ways to keep its existing customers engaged while also creating a great onboarding experience for newcomers. The challenge was to reach the right customers with the most relevant message at the time and channel that is most convenient for them. The app was also looking to capture the uniqueness of each individual with the right data and insights to connect in a more meaningful way. The goal was to enhance the customer onboarding experience with personalized flows, which would encourage customers to complete their profiles and prevent churn.
Case Study
Reviving Dormant User Base: Wynk Music's Strategic Use of IoT
Wynk Music, one of India's largest mobile entertainment platforms, faced a significant challenge during the COVID-19 pandemic. The music industry was experiencing a halt in new music releases, leading to a supply problem. This situation resulted in a considerable amount of dormant behavior among Wynk's customers. The company needed to find a way to re-engage these dormant users and maintain its position in the market. The challenge was not only to identify these inactive users but also to understand their music preferences to provide personalized recommendations.
Case Study
OYO Boosts Push Notification CTR by 15% Using AI Optimization
OYO, a global platform that empowers entrepreneurs and small businesses with hotels and homes, was facing challenges in maximizing the impact of their customer interactions across various campaigns. The company runs different campaigns with triggered journeys based on customer action on their app, and it was crucial for them to understand which message variant was performing the best. The results of effective engagement campaigns would reflect in the incremental CTR (click-through rate) improvement, which ultimately adds to the bottom line in terms of new and repeat hotel bookings. However, the process required a lot of manual intervention to configure the better performing variation and maximize its use. This was particularly difficult with automatic trigger and period campaigns that run for longer durations. Additionally, it resulted in the loss of CTR during the initial stage of experimentation.
Case Study
6thStreet.com Boosts Conversions by 2.5X with AI and Smart Recommendations
6thStreet.com, a leading e-commerce fashion destination from Apparel Group, faced the challenge of driving customer engagement and retention. With over 1000+ international brands, the platform had a vast selection of products but needed to ensure that customers were not only attracted to the platform but also converted their interest into purchases. The brand was initially using traditional channels such as emails and SMS for customer communication. However, these methods were not yielding the desired results in terms of customer retention and conversion rates. The brand needed a more effective way to understand customer behavior, monitor campaign health, and send communications at the right time.
Case Study
JULO Finance Enhances Customer Engagement Through MoEngage's AI Capabilities
JULO Finance, a digital lending company, was facing a challenge in optimizing customer engagement. The company aimed to grow its existing customer base by sending the right message at the right time through the right channel. However, understanding the customer journey and lifecycle stage to tailor the communication accordingly was a significant challenge. The company needed a solution that could provide deeper insights into their customer's behaviors and preferences to enhance their engagement strategies.
Case Study
Reviving Dormant Customers: Airtel Wynk Music's Insights-led Engagement Strategy
Airtel Wynk Music, one of India's largest mobile entertainment platforms, faced a significant challenge with a large percentage of their customers going dormant. The company observed that many customers who regularly streamed music on their app would become inactive until a new music album or movie was released. However, due to the Covid-19 pandemic, new music releases in India decreased significantly. Instead of waiting for customers to return to the app on their own, the Growth team at Wynk wanted to proactively engage these dormant customers and encourage them to return to the app.
Case Study
Rain's Retention Success Through Insights-led Engagement
Rain, a licensed cryptocurrency brokerage and custodian servicing the Middle East, Turkey, and North Africa, was facing significant challenges in its customer engagement and retention efforts. The company was struggling with its existing CRM system, which was not effectively facilitating communication across various channels such as emails, in-app notifications, and SMS. As a crypto investment brand, Rain also had to deal with additional due diligence requirements, which presented further hurdles. The team was constantly working to upgrade its Martech stack, but the existing solutions were not meeting their needs, leading to difficulties in measuring active users and driving engagement.
Case Study
Freo's Personalized Customer Engagement and Higher Conversion Rates with Flows and Affinity Segments
Freo, a full-stack mobile neobank for millennial consumers in India, was facing significant challenges in driving higher engagement and conversion rates. The company was experiencing high abandonment rates among consumers during the Know Your Customer (KYC) process, a crucial step that cannot be skipped for fintech apps. Additionally, Freo was struggling with segmenting customers into different cohorts and determining the optimal time and channel for communication. Post-onboarding, the company faced difficulties in activating customers and identifying category buckets that customers would fall into, such as dormant, inactive, champions, and power users.
Case Study
SWVL's Customer Engagement Transformation with MoEngage
SWVL, a provider of tech-enabled mass transit solutions, was facing a significant challenge in engaging with its customers effectively. Operating in 135 cities across 20 countries, the company had to deal with a diverse customer base with varied languages. The challenge was to ensure that they could communicate with every customer at the right time across different channels. The company wanted to automate its communication based on the customer journey and lifecycle stage. However, the existing processes were time-consuming and required significant bandwidth from internal teams.
Case Study
XL Axiata Leverages MoEngage for Enhanced Customer Segmentation and Automation
XL Axiata, one of Indonesia's largest telecom operators, faced a significant challenge in analyzing and engaging with its vast customer base of over 54.9 million subscribers. The company offers a wide array of innovative telecommunications products and services, which necessitates a deep understanding of customer behavior to ensure effective engagement. The sheer volume of customers made it difficult for the XL Axiata team to segment customers based on their in-app behavior and automate journeys to keep them engaged. The challenge was not only to understand the behavior of millions of customers but also to create and automate journeys for every stage in the customer lifecycle.
Case Study
Freo's Success in Boosting Open Rates through Optimal Communication Timing
Freo, a neo-bank for millennial Indians, was grappling with a significant challenge common to many Fintech brands - customer drop-offs during the customer journey. The complex set of steps that customers had to complete, such as KYC registrations, made customer retention a major issue. The company was struggling to maintain engagement and keep customers on board throughout the entire process. This was a significant problem as it was affecting their conversion rates and overall customer satisfaction.
Case Study
How MoEngage Streamlined ClearGate's Customer Service and Integration
ClearGate, a company that provides merchant services and a payment gateway, was facing challenges with the limitations of third-party software. The company was in need of a new engagement platform that could offer superior customer service, seamless integration, and efficient execution. The existing software was not able to meet the dynamic needs of ClearGate, which was affecting their ability to manage administrative tasks and workflow effectively. The company was looking for a solution that could help them overcome these limitations and improve their overall operational efficiency.
Case Study
Tokopedia Boosts User Retention by 60% with MoEngage Onboarding Automation
Tokopedia, Indonesia's largest online marketplace, was facing a significant challenge common in the mobile app industry - high user churn. Nearly 60% of users were uninstalling the app within the first month of use. The company's objective was to improve first-month user retention by implementing an integrated customer onboarding strategy to activate and engage newly acquired app users. The challenge was to deliver the right message at the right time at every stage in a user's lifecycle to eliminate possible chokepoints or reduce user ambiguity.
Case Study
OYO Enhances Push Notification Delivery by 44% with MoEngage
OYO, a technology-driven hospitality company, was focused on delivering a seamless experience to its users by sending personalized hotel recommendations and price offers through various channels, including push notifications. However, they faced a significant challenge with the delivery rate of push notifications on Chinese OEMs such as Xiaomi devices, which were used by 17-20% of OYO users. The delivery rate was less than 30% for active users, which was a significant concern as the adoption of Xiaomi devices was growing. OYO needed to find a solution to increase the delivery rate for these devices and enhance their market scalability. They also aimed to personalize hotel recommendations to increase user interaction with relevant communication.
Case Study
PetFlow Boosts Engagement and Drives In-Store Traffic with Web Push Notifications
PetFlow, a leading retail brand of specialty pet food and supplies, was facing a significant challenge in late 2016. Despite their data-driven culture and personalized advice attracting pet lovers, they noticed a consistent decline in the engagement their customers and prospects had with email, their most powerful channel. This was a major concern, especially as the cost to acquire new customers was increasing and retaining existing customers was becoming a necessary activity. The Director of Marketing, Andrea Barsk, recognized that relying solely on email as an engagement channel was not sustainable. Simply sending out more promotional emails to get more sales was not a viable long-term strategy, as it could negatively impact deliverability and the bottom line.
Case Study
Boosting Engagement and Traffic: SportsCafe's Success with MoEngage Web Push
SportsCafe, a digital platform for Indian sports fans, was facing a challenge in increasing traffic and engagement on their website. The majority of their revenue came from digital advertising, and with the industry seeing a 20% growth year over year, they were keen to capitalize on this trend. However, they were heavily reliant on traditional means of driving traffic, such as social media and Google AdWords. Despite these efforts, 90% of their traffic was from anonymous visitors, and they were struggling to create a pool of engaged visitors who would regularly return to the site. This was particularly important for mobile users, who were a key demographic for SportsCafe.
Case Study
Tiket.com Boosts Customer Engagement and Reduces Churn by 30% with Automated Flows & Triggered Emails
Tiket.com, a leading online travel agent in Indonesia, was grappling with the challenge of reducing user churn and re-engaging inactive or dormant users. The company was also keen on improving the Lifetime Value (LTV) of its customers. The primary goal was to reduce overall user churn by increasing first and repeat purchase rates and re-engage inactive or dormant users. The challenge was to devise a strategy that would not only retain existing customers but also attract new ones through multiple channels. The company needed a solution that would allow them to offer personalized user experiences and improve purchases, repeat purchases, and reduce user churn.
Case Study
Boosting Customer Lifetime Value: A Case Study on Fave's Use of MoEngage Flows
The Fave Group, one of South East Asia’s fastest growing startups, faced a significant challenge in driving user engagement and increasing customer lifetime value (LTV). The company, which started as a fitness sharing platform and has since expanded into a multi-category O2O platform, needed a solution to onboard new users and encourage them to make their first purchase on the Fave app. Additionally, Fave wanted to stimulate repeat purchases on the app to increase user LTV. The challenge was not only to attract new users but also to retain existing ones and guide them towards the right step in the customer lifecycle journey.
Case Study
RentoMojo Boosts Purchase Rate by 20% with Dynamic Product Messaging
RentoMojo, a leading home furnishing rental service in India, was facing challenges with their existing marketing automation platform. The platform was not supporting their need for personalized user experiences and dynamic user engagement. The brand wanted to provide more intuitive and relevant product messaging based on user purchase history and cycle, and create custom journeys and communication based on user actions. However, their existing platform was not equipped to handle these requirements. Additionally, a significant number of their engagement emails were landing in the SPAM folder, a problem that their current tool couldn’t solve. This was negatively impacting their overall user engagement strategy and causing a drop in conversions.
Case Study
GoMechanic Boosts Orders by 138% with Action-based Push Notifications
GoMechanic, a car servicing solutions provider with a strong presence in 29+ cities across India, was facing a challenge with customer retention and conversion. The company observed that customers often conducted extensive research before booking a car service, leading to a longer conversion window than usual for online businesses. This resulted in a higher chance of drop-offs, with users adding services to their cart and then forgetting about them. GoMechanic needed a way to subtly yet compellingly bring users back to their app and incentivize them to complete their purchases.
Case Study
Cocomelody: Boosting Sales and Customer Engagement with IoT
Cocomelody, a popular bridal brand, was facing challenges in maintaining customer engagement and increasing conversion rates. Despite using multiple tools for cross-channel customer engagement and online ads with Google and Facebook, the brand was experiencing a significant drop in users at various stages of the purchasing journey. The conversion rates of their ads were not growing, negatively impacting their overall return on online ad spend (ROAS). The brand also identified a lack of dynamic messaging and intuitiveness on their website and app, and they were unable to pinpoint the exact drop-off points. Overall, they lacked crucial data analytics and the ability to personalize engagement campaigns. The brand's team decided to opt for a more dynamic and centralized engagement tool that would enhance customer interaction.
Case Study
Boosting User Engagement and Onboarding Efficiency: A Case Study on CoinDCX
CoinDCX, India's largest cryptocurrency exchange, faced a significant challenge in building a solid crypto community by continuously engaging their users. The company's initial engagement approach lacked personalization and relevancy at the user level, leading to drop-offs during onboarding and reactivation. The marketing team realized the need for a more robust engagement strategy and an efficient platform to execute it. They initially opted for an automation platform, but it lacked essential features such as synergy between the brand and platform capabilities, multiple channels for omnichannel marketing, a futuristic product roadmap including third-party tool integration, and advanced user-level analytics. These shortcomings led CoinDCX to seek a new platform that could offer these features.
Case Study
Landmark Group's Successful White Wednesday Sale: An IoT Case Study
Landmark Group, one of the largest retail and hospitality brands in the Middle East, Africa, and India, faced a challenge during the White Wednesday Sale 2019. The sale, being the biggest online sale period of the year, was a prime opportunity for the Group to increase new subscribers, customers, purchases, and revenue. The core intent of the White Wednesday campaign was to ensure maximum offers and discounts were utilized by the app users. The Group wanted to encourage app purchases and improve app conversions. The goals were to improve early repeat customers, improve customer lifetime value and basket size, and increase app conversions with the use of a customer engagement tool. However, due to the sheer volume of campaigns and customers engaging with the websites and apps, optimizing app conversion was a significant challenge.
Case Study
Lifestyle Enhances Customer Retention by 30% with Dynamic Engagement Strategy
Lifestyle, a leading fashion destination in India, was facing a significant challenge with its mobile app. Despite having over 1 million app installs, the active user base was only 15,000. The company identified two main issues: a large number of users were inactive after opening the app for the first time, and a significant number of users abandoned the app after searching or adding products to the cart. This inactive user behavior was negatively impacting overall conversions and affecting the return on investment. The company's goals were to boost the monthly active user base, reduce user drop-off by improving conversions, increase the in-app purchase rate, and improve user engagement.
Case Study
1Weather: Scaling Mobile User Engagement with Personalized Notifications
1Weather, a top-rated weather app, faced a challenge in maintaining user engagement and re-engagement. Despite providing regular weather updates and predictions, the app was experiencing lower page sessions. The company wanted to ensure that users could consistently benefit from its accurate weather information and forecasts. The primary goals were to increase app opens and engagement, improve click-through rates (CTRs) using relevant push notifications, and boost the depth of each session using a content engagement score (CES). However, the company faced limitations due to the majority of its user base being in the U.S., where stringent data and user privacy laws required all engagement communications to be related to weather conditions only.
Case Study
Jeeny Boosts Conversions by 25% with MoEngage’s Personalized Cross-channel Campaigns
Jeeny, a popular ride-hailing service in the Middle East, was facing a significant challenge. Despite having a strong user base of 3 million registered users, the company noticed a rapid decrease in the frequency and volumes of rides. The primary reason for this decline was the brand’s marketing strategy, which relied on simple, basic push notifications to engage their users. This approach created a gap between Jeeny and its users, as it lacked personalized interaction based on the users' app journey and interaction. The marketing team at Jeeny wanted to offer relevant real-time communication to the customers on new offers and discounts, and specific offer codes to loyal users. However, due to the absence of a robust marketing automation platform, the brand was unable to bridge the gap between the customer and their app, as the relevancy was missing.
Case Study
FabHotels Boosts Email Deliverability by 90% with Improved Domain Reputation
FabHotels, a new-age budget hotel chain, was facing a significant challenge with their email promotional campaigns. Despite running multiple campaigns daily, poor domain reputation was causing most of their emails to land in customers' Spam folders, severely impacting their email marketing strategy. This was particularly problematic in the travel industry, where it's crucial for brands to engage with users during high-purchase-intent micro-moments. FabHotels had been using various email vendors and tools for their campaigns for over two years. Initially, these campaigns performed well until the brand reached a certain daily email threshold. Once this threshold was reached, the domain reputation dropped, and emails started landing in the SPAM folder, rendering emails ineffective as a customer engagement channel.
Case Study
Vedantu's Insight-led Engagement Strategy Boosts Topline Business by 65%
Vedantu, a Bengaluru-based tutoring platform, was facing a significant challenge in retaining and engaging its student base. Despite having around 2.3 million registered students across their website and app, the company was struggling to keep students engaged and complete their tutorials. Approximately 90% of students either added tutorials to their cart but didn’t complete the transaction, signed up for the tutorials but did not start or complete them, or completed tutorials but dropped off due to no follow-up engagement. The main roadblock was a gap in data enrichment due to missing data on user behavior and app activity, and missing data on source medium and funnel of existing campaigns.
Case Study
Shopo's Innovative Approach to User Engagement and Retention
Shopo, an open C2C marketplace from Snapdeal, faced a unique challenge of engaging both sellers and buyers on its app. The company needed to familiarize users with a new marketplace platform and help them accomplish tasks such as setting up a store, enabling payment gateways, and buying or selling items. The challenge was compounded by the fact that 80-90% of apps are deleted after being used once. If users didn’t understand how to use an app, they wouldn’t use it. Shopo needed to ensure that users didn’t delete the app after one use, and to achieve this, successful onboarding was key. This meant helping users get their bearings, teaching them how to complete key tasks, and making them want to come back for more.
Case Study
Cleartrip Enhances Customer Engagement and Conversion with IoT
Cleartrip, an Indian online travel company, was facing a significant challenge in onboarding, activating, and engaging customers. The company wanted to provide personalized and relevant interactions to its customers to enhance their experience. However, they were experiencing a high drop-off rate in the booking funnel, with many users installing the app but not making a booking. The company needed a solution that could help them identify customer drop-off points and engage these customers effectively to drive conversions.
Case Study
TaxiForSure's Journey to Perfecting Customer Lifecycle: Retention, Referral, Revenue
TaxiForSure, now a part of Ola, aimed to perfect the user lifecycle tail-retention, referral, and revenue. The company wanted to engage more effectively with their customers to decrease churn and increase retention, referrals, and revenue. They were looking for ways to understand their customer behavior better and send targeted campaigns to increase conversions. The challenge was to create a seamless booking experience across mobile apps, website, and call center, and to enable users to book a ride in under 15 seconds. The company also wanted to re-engage inactive users and run targeted campaigns for lapsed users.
Case Study
Helpchat Boosts Email Campaign Open Rates by 34% with MoEngage
Helpchat, India's largest AI-powered personalized transactions platform, faced a significant challenge in retaining users on their app. The company was part of a broader industry trend where apps lose 75% of their users within three months of download. This was due to a lack of an effective user onboarding process, which is crucial in showing users the value of the app. Additionally, Helpchat struggled with user engagement, with many users becoming inactive within the first month of app installation. The company also had difficulty gathering feedback from users who uninstalled the app, a valuable source of information for improving the app's features and usability.
Case Study
Ralali's Intelligent Customer Engagement Reduces Cart Abandonment by 27%
Ralali, a B2B marketplace in Indonesia, was facing a significant challenge with cart abandonment on their e-commerce website. Despite having over 1 million active users, they noticed that many users were landing on their product and category pages but not completing their purchases. The challenge was to understand the reasons behind this high abandonment rate and to find effective ways to improve conversions on their website. Their goal was to increase revenue by reducing cart abandonment and to enhance customer engagement by gathering user feedback.
Case Study
Treebo's Success in Higher Conversions and Improved Delivery Rates with MoEngage
Treebo, one of India’s top-rated tech-enabled hotel chains, was facing a significant challenge in the crowded budget hotel industry in India. The company was striving to establish their brand and recall while differentiating themselves based on a superior customer experience across various touch points. The primary goal was to convert new users by personalizing their onboarding journey, position the Treebo brand using personalized messaging platforms, and improve conversions by optimizing mobile and web experiences. However, despite having the marketing messages that drove conversions, they lacked a tech stack that would help them execute at-scale and improve the customer’s web and app experience.
Case Study
OnlineTyari's Transformation: 400% Increase in Conversions with MoEngage
OnlineTyari, India’s leading online examination platform, faced a significant challenge in their marketing strategy. With over 8 million students using their platform for exam preparation, the company wanted to shift from broadcasting generic marketing messages to a more personalized, data-driven approach. They aimed to engage their users more effectively and convert them to TyariPLUS subscriptions. However, the vast user base and the diverse user behavior patterns posed a significant challenge in implementing this personalized engagement strategy. The company needed a solution that could help them understand their users better and tailor their marketing efforts accordingly.
Case Study
Boosting Sales with Dynamic Emails and Push Notifications: A Case Study on SIVVI.COM
SIVVI.COM, a leading online retailer based in Dubai, was grappling with a common issue in the e-commerce industry - browse and cart abandonment. This issue was leading to low conversion rates on their website. In the e-commerce sector, it's a known fact that a significant percentage of visitors abandon their shopping carts, with the figure standing at 69%. SIVVI.COM was no exception to this trend, and they were losing potential sales due to this high rate of abandonment.
Case Study
Bigbasket Enhances Push Notification Delivery by 10% Using MoEngage Push Amplification
Bigbasket, India's largest online food and grocery store, was grappling with a significant challenge of low push notification delivery. This issue was primarily due to the operating system and device level restrictions in certain Chinese Original Equipment Manufacturer (OEM) devices. As a result, push notifications sent by Bigbasket were not being delivered to these devices, thereby affecting the overall engagement rate of the app. With 51% of the Indian smartphone market comprising of Chinese OEM devices, the drop in push notification delivery and engagement had a negative impact on Bigbasket's business operations and customer engagement.
Case Study
Gaana Enhances User Engagement and Premium Subscriptions with MoEngage
Gaana, a leading online music streaming service with over 50 million active users worldwide, faced several challenges in its quest to enhance user engagement and increase premium subscriptions. The company aimed to drive newly acquired users to subscribe to the Gaana+ premium account through lifecycle push campaigns. They also wanted to deliver a personalized music streaming experience to users based on their music preferences. Another objective was to keep users returning to the app to listen to their favorite music. However, achieving these goals was not straightforward due to the vast user base and the highly personal nature of music preferences.
Case Study
Berrybenka's Success: Boosting Engagement and Conversions with Machine Learning and Personalisation
Berrybenka, a leading online fashion and beauty store in Indonesia, faced the challenge of maximizing conversions and creating a unified customer experience across channels. The company wanted to identify opportunities to provide a personalized and targeted engagement experience to its users. The challenge was to effectively segment their customer base and deliver targeted communication based on users' activity. This included users who explored a specific product collection or those who had completed a purchase recently. The company also needed to optimize their push notification campaigns to achieve the desired engagement.
Case Study
Ayopop's AI-Enabled Marketing Strategy Recovers 55% of Drop Off Users
Ayopop, Indonesia’s fastest growing mobile bill payments platform, was facing a significant challenge in increasing its active user base, reducing cart abandonment, and driving growth. The company needed to identify users who had abandoned their transactions midway and find a way to bring them back to complete their transactions. Additionally, Ayopop wanted to leverage marketing automation solutions to not only bring these users back but also keep them engaged over their lifetime. The challenge was to find a solution that could effectively address these issues and help Ayopop meet its business objectives.
Case Study
Chillr's Digital Transformation: Leveraging Business Intelligence for Micro-Moments in Financial Services
India's recent digital revolution brought the banking and financial services industry into the digital fold for the first time. Chillr, a multibank payments app, was faced with the unique challenge of educating and encouraging users with no digital banking history to perform banking transactions on their mobile. The objective was to identify digital micro-moments in financial services to develop an engagement plan that encourages users to go digital and make Chillr synonymous with digital transactions, while providing a host of value additions for the user.
Case Study
Viu Enhances User Engagement with AI-Driven Video Recommendations
Viu, a leading over-the-top Video Service provider in emerging markets, was facing challenges in reaching more app users with intelligent video recommendations, boosting video viewership, and reducing app user churn. With over 10 million users on the app, Viu was struggling to increase mobile app user engagement and reduce churn. They also aimed to increase push notification delivery rates on select Chinese OEM devices. The main challenge was to deliver video recommendations relevant to users’ behavior and view history, and to overcome the push delivery issues on Chinese Devices to reach more users.
Case Study
Kredivo's Success with MoEngage: Influencing Up to 40% Conversions
Kredivo, a rapidly growing digital payment channel for ecommerce in Indonesia, was facing three main challenges. Firstly, they were struggling to engage new users who had downloaded the Kredivo app. Secondly, they were looking for ways to enable users to complete transactions within the app. Lastly, they were exploring how they could leverage their existing app users to boost overall brand and App store SEO. These challenges were critical to their growth and customer retention strategy, and they needed a comprehensive solution that could address all these issues effectively.
Case Study
Tathastu Boosts Digital Wallet Adoption with MoEngage for Future Pay
Future Retail, one of India's most popular retail chains, faced a significant challenge with their flagship digital channel, the Future Pay App. The app was designed to acquire, engage, and reactivate dormant users, and improve the average monthly spend of customers. However, a sizeable percentage of consumers had the Future Pay app on their phones but were not using it. There was also room to improve the average monthly spend of Future Pay app users. Furthermore, there was immense potential for Future Pay to engage with customers with personalized coupons and promotions. The team at Tathastu, a subsidiary of Future Group, realized the need to increase adoption of Future Pay. They needed to understand consumer behavior, segment consumers, and then run personalized campaigns to engage them through the Future Pay app.
Case Study
Luxstay Boosts Engagement Rate by 60% Through Segmentation and Personalization
Luxstay, an online short-term rental platform based in Vietnam, was facing challenges in its user engagement strategy. The home-sharing market in Vietnam is highly competitive, requiring Luxstay to provide personalized and consistent communication across all channels. However, their existing marketing automation platform had limitations, including a lack of user behavior analysis, connectivity gaps in channels, and no proper continuity in user engagement. These issues were negatively impacting the brand's active usage and conversions. The COVID-19 pandemic further complicated matters, as Luxstay needed to maintain consistent communication with users throughout the ongoing uncertainty. The team wanted to understand user behavior, segment users based on various attributes, and unite all engagement channels. However, their current solution was not able to meet these needs, leading Luxstay to seek a platform that could offer a more unified engagement.
Case Study
6thStreet's CRM Team Achieves 4x Growth in Business Contribution with IoT
6thStreet.com, the e-commerce arm of The Apparel Group, was experiencing a significant growth in sales, indicating a shift in consumer behavior towards an omnichannel experience. The CEO set an ambitious goal of driving 10x growth, which required a key focus on Customer Relationship Management (CRM). However, the team faced challenges in understanding consumer behavior, journey, likes, preferences, and buying patterns due to the use of different tools for sending SMS, emails, mobile push notifications, and in-app messages. These tools operated in silos, making it difficult to get complete visibility into the consumer journey, map consumer behavior across channels, and deliver a meaningful omnichannel experience. It was clear that they needed to modernize their tech stack.
Case Study
Adda247 Boosts Conversion Rate by 35% with Dynamic Product Messaging
Adda247, an ed-tech company with a user base of 20 million, was grappling with the issue of user abandonment. Users who purchased mock tests and course quizzes were either not starting or completing them. The company observed that users from both free and purchased tests and quizzes were dropping off before completion. They recorded user behavior and user drop-off stages using MoEngage Analytics but had not implemented any engagement strategy to bring dropped users back on their platform. Additionally, users who completed previously purchased content were dormant as there was no re-engagement plan in place. Adda247 wanted to ensure that their app users were engaged on their platform. Their goals were to boost upsell by offering advanced tests and quizzes, re-engage dormant or inactive users, and improve engagement with abandoned users.
Case Study
Mamikos Enhances Room Rental Bookings by 20% Leveraging MoEngage Analytics
Mamikos, a popular room rental app in Indonesia, faced two significant challenges. Firstly, the company noticed that approximately 90% of its users abandoned their app or website after searching for a rental property without finalizing the bookings. Mamikos aimed to address this issue and motivate more users to complete bookings using their platform. They also wanted to understand the user behavior across different channel touchpoints (website and app) and if the users would switch between these channels while performing any action. Secondly, Mamikos was unable to incorporate user behavior feedback from their app and website into their marketing communication. Consequently, they were sending generic communication about the available property to its users. They aimed to transition to a more personalized approach to engage users.
Case Study
Adda247's Transformation: Automating 90% of Customer Data Analysis with MoEngage Analytics
Adda247, a leading educational tech company, was facing a significant challenge in maintaining consistent customer engagement despite regular campaigns. With a user base of over 20 million, the company was noticing a decline in engagement due to a lack of personalized customer preferences in their communications. The company realized that the declining engagement rates were a result of their inability to analyze customer behavior effectively. They were not analyzing their campaigns to understand customers' usage and interest in the platform. Furthermore, they were aware that customers were abandoning the tests but lacked data to pinpoint at which stage this was happening. The company needed an automated analytics tool that could automate customer behavior analysis and reduce the need for human intervention.
Case Study
Vedantu Boosts Customer Engagement and Delivery Rates with IoT
Vedantu, a leading online tutoring platform in India, faced a significant challenge in reaching its customers with the right messaging due to the dominance of Chinese OEMs. These OEMs, including Xiaomi, Lenovo, Oppo, Huawei, and others, restrict background processes, cutting the device off from Firebase Cloud Messaging (FCM) or Cross-Platform Messaging. This situation affected Vedantu's engagement strategy as most of their student base used smartphones from these OEMs, making it difficult to reach and re-engage with them. Furthermore, Vedantu had the objective of providing its users with relevant study content, which required understanding and predicting user behavior.
Case Study
Bukalapak Boosts Engagement with Personalized Campaigns: A 2.5X Increase in CTR
Bukalapak, one of Indonesia's largest e-commerce companies, was facing a significant drop in customer engagement due to the absence of a comprehensive platform that could create, track, and analyze campaigns. The company wanted to run personalized campaigns to boost customer engagement, but this required a deep understanding of customer behavior and the ability to segment customers based on their preferences. The challenge was to find a solution that could provide these capabilities and help Bukalapak run more effective, personalized campaigns.
Case Study
Revamping Email Strategy: A Case Study on EarlySalary's Improved Conversion Rates
EarlySalary, an India-based FinTech startup, was facing a significant challenge with user drop-offs during crucial stages of their loan cycle. These stages included bank statement submission, KYC submission, and loan approval. The drop-offs were not only disrupting the completion of the loan cycle but were also negatively impacting conversion rates. As an app-based loan provider, EarlySalary had a multi-step loan cycle that included profile creation, ID verification, bank statement submission, KYC submission, and loan approval. The successful completion of these stages led to the loan approval stage, after which the loan amount was disbursed to the user’s account. However, high drop-offs at the bank statement submission, KYC submission, and loan approval stages were hampering the loan cycle completion and affecting the conversions rates.
Case Study
UangTeman Boosts User Engagement Through Personalized Communication
UangTeman, a micro-lending service in Indonesia, faced a challenge in maintaining real-time engagement with their customers. The company's real-time credit approvals allowed them to reach customers quickly, but it also necessitated constant, real-time interaction. UangTeman wanted to run concurrent campaigns based on specific customer actions and provide contextual messaging depending on those actions. However, achieving this was difficult without a marketing automation platform, as such campaigns require intelligent automation. The company's goals were to offer real-time contextual customer engagement that aligns with the UangTeman brand identity and to provide direct and personalized communication to customers.
Case Study
Nostragamus Boosts Push Notification Delivery by 50% with MoEngage's Push Amplification+
Nostragamus, India's first prediction-based fantasy sports app, was facing a significant challenge with its push notification delivery, which was affecting its overall user retention strategy. The company found that 55% of their users were using Chinese Original Equipment Manufacturers (OEMs), and 30% of these users were using Xiaomi devices. This posed a problem as OS and device-level restrictions cut off the device from Google Cloud Messaging (GCM), an essential component for push notifications to reach the customer. As a result, there was a significant drop in the delivery of push notifications and user engagement, which heavily impacted the business.
Case Study
Increasing Product Stickiness by 19% through Personalized Content Recommendations: A Case Study on POPS Worldwide
POPS Worldwide, a leading digital entertainment powerhouse in Southeast Asia, faced the challenge of increasing the stickiness of their product. With over 427 million subscribers and a diverse library of digital-first content, POPS aimed to enhance customer engagement and retention. The company focused on improving the DAU:MAU ratio, a key indicator of product stickiness and customer engagement. A high DAU:MAU ratio signifies frequent content consumption by customers, leading to increased referrals and revenue. The challenge was to keep the Gen Z audience, who turned to POPS for entertainment needs during the COVID-19 pandemic, engaged and consuming content frequently on the POPS platform.
Case Study
MoneyTap's Successful Optimization of Customer Engagement and High Open Rates
MoneyTap, an app-based credit line in India, faced several challenges in maintaining consistent and relevant communication with its customers. The company's business goal was to encourage people to use the credit line and withdraw money from it, requiring communication to be relatable, interesting, and relevant. However, the company was dealing with a high volume of communication across various channels, including SMS, push notifications, and emails. The communication sent to customers needed streamlining and fine-tuning to ensure consistency across all channels. The clutter arose from multiple teams sending out various campaigns with different objectives. Additionally, there was a significant drop-off post-registration, with customers not completing applications for loan approvals. MoneyTap needed a consolidated platform that would dissolve silos and ensure that all teams were in sync with the outgoing communication.
Case Study
Alodokter Boosts Engagement by 45% with MoEngage's AI-based Campaign Optimization
Alodokter, a leading Indonesian healthcare super app, faced significant challenges in maintaining user engagement. The nature of healthcare apps means that users typically only engage with them when they are unwell. However, during the global pandemic, Alodokter recognized the importance of reaching out to users with timely and relevant information about precautionary and safety measures. The challenge was to educate users using doctor-approved and certified resources within the app, including healthcare articles on a wide variety of subjects and topics. The goals were to increase app engagement to reduce churn and boost retention, improve click-through rates (CTRs) and conversion rates of push campaigns to uplift engagement, and increase active users across the app.
Case Study
OptimizeFT Enhances Customer Journeys and Boosts Trigger Campaigns with MoEngage
OptimizeFT, a California-based digital banking software company, was facing challenges with its in-built system for orchestrating communication with third-party vendors like Airship and Twilio. The integration of this system was tied to the development schedule of their core platform, which meant that any changes required waiting for standard platform deployments. This process was proving to be cumbersome and inefficient. OptimizeFT's business goals included providing a cost-effective solution to both large and small organizations without compromising on critical features, analyzing, monitoring, and optimizing user preferences, sending real-time updates for an enhanced user experience, and minimizing the operational hassle involved in integration and customer interactions.
Case Study
Airtel Xstream's Growth Strategy: Leveraging MoEngage for Enhanced User Engagement and Retention
Airtel Xstream, a video streaming platform, was faced with the challenge of increasing user engagement and retention on their mobile platforms. The platform, which offers 350+ Live TV Channels, 10000+ Movies, 100+ TV Shows, Originals, and more, was looking to revolutionize the mobile entertainment streaming landscape. However, the COVID-19 pandemic had significantly reshaped user content consumption patterns. The Growth and Content teams at Airtel Xstream were tasked with growing engagement on the Android and iOS mobile apps while retaining newly acquired users. Their primary focus was to increase content consumption, measured by 'Streamtime' and 'Streamtime-per-subscriber' metrics. Additionally, they aimed to improve the N-day Retention metric, which tracks the number of users who have opened the Xstream mobile app and consumed video content at least once within a period of time.
Case Study
Mashreq Neo Enhances Debit Card Activation and Customer Experience Through Omnichannel Approach
Mashreq Neo, a digital banking app launched by Mashreq, one of UAE’s best performing banks, faced a significant challenge in integrating their mobile app into the larger omnichannel customer experience. The app was initially perceived as just another touchpoint to engage with customers, leading to a siloed approach where customer data across channels and services was stored separately and not flowing into a centralized platform. This resulted in high drop-off rates at the onboarding stage and low adoption rates on key features such as debit card spends, quick remit for salary and international transfers, and the bank's loyalty program, Salaam Points. The goals were to increase customer onboarding by offering unified communication to ease app adoption, boost debit card adoption and spends by driving day-to-day app transactions, and improve loyalty program consumption by driving debit card and quick remit usage.
Case Study
Future Group’s Wallet App Future Pay Boosts Active Userbase by 20% with MoEngage Analytics
Future Pay, a wallet app by Future Group, faced a challenge in tracking user interactions with promotional banners on their home screen. These banners, which redirected users to selected brand pages, were a key part of their marketing strategy. However, the Future Pay product team was unable to track clicks on these banners or measure conversions from users who landed on these brand pages. This lack of visibility made it difficult to assess the effectiveness of their marketing efforts and optimize their engagement strategy. The team wanted to understand user behavior and drop-off on these banners, hoping that this would help them offer more personalized engagement and boost traffic and conversions. The criteria for a solution were to help the team understand user behavior and drop-off on these banners.
