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ADA Enables Tokocrypto’s Successful Navigation of Indonesia’s Complex Crypto Landscape

Case Study

ADA Enables Tokocrypto’s Successful Navigation of Indonesia’s Complex Crypto Landscape

The Results

Maintaining the number of registered users, we improved the audience strategy towards KYC4 (user who are converted until KYC4 step) whereas the KYC4 increased by +235% in average on the following month. A +181% average month-on-month increase in app installations was observed. Furthermore, we improved the Install-to-Registration rate by +80%compared to the client’s benchmark, highlighting our effective user acquisition strategies and commitment to delivering significant growth in digital engagement.

    0 %
    reduction in CAC against benchmark
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    Daily Average of New Users Completing KYC
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    Improvement on the Funnel Conversions
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    Conversion Rate on Users Completing KYC to Trading
    Challenge

    Tokocrypto, a prominent platform in Indonesia for trading Bitcoin and other crypto assets, launched a campaign to drive app downloads, with a secondary focus on boosting user registrations. The campaign leveraged Programmatic channels to not only achieve installations but also push conversions through the lower funnel. The campaign faced significant challenges, primarily in identifying and acquiring the right audience in the highly volatile crypto market. This required a sophisticated targeting strategy aimed at individuals with a high propensity to invest in crypto assets, even amidst market downturns. ADA’s approach went beyond conventional methods, employing advanced data analytics and behavioral insights to pinpoint and engage this niche audience effectively.

    Strategy

    Audience targeting was meticulously planned to maximise relevance and conversion potential. Demographic targeting focused on individuals aged 22-45 in Indonesia, encompassing both genders. Interest and behavior targeting engaged users keen on crypto trading and financial services. Specific personas such as crypto enthusiasts, investors, tech-savvy users, and financial optimisers were identified and targeted to enhance campaign effectiveness. To further amplify the campaign’s impact and engagement, customised creatives and targeted messaging were developed. This strategic personalisation was designed to not only attract users to download the Tokocrypto app but also to encourage them to complete key in-app events, thereby enhancing user retention and activity. A key differentiator in this campaign was the integration of our ADA’s Acquisition CPA calculator. Unlike traditional estimation tools, the CPA Calculator that is powered by AI modeling and 6 years of solid data from past campaigns that we did across 12 markets in Asia with allowed us to precisely gauge the cost per acquisition based on the client’s budget, industry, and performance objectives, helping us to allocate resources efficiently and maximise the campaign’s ROI while maintaining low acquisition costs.

    Awards
    1 Bronze in Excellence in Programmatic Marketing at Marketing Excellence Awards 2024
    2 Gold in Excellence in Mobile Marketing at Marketing Excellence Awards 2022
    3 Silver in Excellence in Data-driven Marketing and Consumer Insights at Marketing Excellence Awards 2022
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    How Boost Malaysia Achieved 3X Efficiency and 57% Higher Engagement with CRM Integration

    Case Study

    How Boost Malaysia Achieved 3X Efficiency and 57% Higher Engagement with CRM Integration

    The Results
    0 X
    productivity boost: campaign setup and execution become faster and more efficient
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    higher open and click rates on WhatsApp compared to other channel like push notifications and email
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    reduced cost-per-acquisition through optimized campaign strategies, achieving parity with conversion campaigns through optimized campaign strategies, achieving parity with conversion campaigns
    The Challenge

    Boost Malaysia, Southeast Asia’s leading mobile wallet provider, encountered critical operational hurdles in their customer engagement strategy:

    1. Campaign Complexity: Their teams spent excessive time manually managing cross-channel campaigns, creating bottlenecks in customer outreach
    2. Engagement Deficit: Traditional channels yielded suboptimal engagement metrics, particularly in open and click-through rates
    3. Data Silos: The absence of WhatsApp campaign integration with their primary CRM created blind spots in customer journey analytics
    The Strategy

    Through comprehensive analysis, Boost recognized the need for a unified marketing ecosystem. The solution: integrating CleverTap’s capabilities with ADA Asia’s Business Messaging Platform (BMP) to create a seamless, data-driven engagement engine. Hence ADA Asia delivered a three-pronged solution

    1. Seamless Integration: Unified CleverTap CRM with ADA’s BMP, enabling end-to-end campaign automation
    2. Precision Marketing: Deployed targeted WhatsApp campaigns using advanced customer segmentation
    3. Interactive Engagement: Implemented CTWA campaigns with intelligent bot flows, backed by real-time analytics from CleverTap and Facebook Ad Manager
    The Execution
    • Deployed AI-driven customer segmentation through CleverTap for precise WhatsApp targeting
    • Established real-time performance monitoring for comprehensive campaign insights
    • Implemented data-driven A/B testing to maximize CTWA campaign effectiveness
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    ADA helped a top insurance company to mitigate revenue loss with AI and Tech

    Case Study

    ADA helped a top insurance company to mitigate revenue loss with AI and Tech

    The Results
    Analysed 9 product combinations and identified major factors leading to higher revenue loss rate
    2X efficiency in decision making with the actionable insights
    The Execution

    The client is the top 5 insurance company that offers automobile, travel, home, health, and personal injury insurance products.

    The client is facing heavy revenue loss with one of the factors causing it is the unavailability of a system to analyse data and provide strategic insights. The client needs a solution to analyse their large data set at an advanced levels such as product offerings, policies and customers. This helps the strategic decision making for future cross-selling and up-selling opportunities.

    ADA stepped in and advised the client to opt for Auto-ML solution-based model to run heavy analysis, provide insights on which product combinations are impacting the revenue loss, and predicting which combinations to avoid in future. ADA provided the client with actionable insights through a comprehensive analytical report, detailing the impact of individual factors and combinations on the loss rate.

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    We increased customer lifetime value and revenue for our client by fine-tuning the propensity scoring model

    Case Study

    We increased customer lifetime value and revenue for our client by fine-tuning the propensity scoring model

    The Results
    0 %
    Achieved a 4% conversion rate compared to the previous model.
    Expected increase of RM500,000 in Customer Lifetime Value within a year.
    Witnessed a surge in revenue across all departments from cross-sells.
    0 ≥ Costs
    Slashed marketing costs by optimizing number of emails and push notifications per customer.
    The Challenge

    The client, a credit service company, offers a range of credit and finance products, managing the personal data of approximately 2 million actively transacting customers.​​

    As the largest credit services provider in Malaysia, the client wanted to enhance existing growth strategies by gaining a deep understanding of customer data and increasing Customer Lifetime Value (LTV) through targeted cross-selling campaigns. Project initiation objectives include boosting incremental sales through accelerated product cross-selling.​

    The client faced challenges in effectively cross-selling to their existing customer base. The marketing team faced difficulties in identifying customers with a higher propensity to purchase their products.​

    ​ADA helped consolidate data from multiple systems, unified them, and fine-tuned the predictive models, thereby increasing the accuracy of the models for more relevant and effective campaigns.​

    The Solution

    Utilizing the centralized Treasure Data Customer Data Platform (CDP), we ingested data from various systems and silos. The source systems included customer information (CRM), customer transactions and billing data (Billing system / data mart), customer finance and repayment data, and customer spending in stores (SKU data system).​​

    We unified data from all systems to create a customer 360 view. ADA has developed six distinct predictive models, each tailored to a specific product category:​

    • Credit card​
    • Prepaid card​
    • Personal finance​
    • Motor finance ​
    • Objective finance​
    • Auto finance​

    Our data scientist, equipped with expertise in machine learning, fine-tuned these models. Through meticulous feature engineering, we have significantly increased the accuracy of the models.​

    New customer attributes, indicative of the products they are most likely to purchase, have been developed and used to target the customers with the most relevant campaigns. ​

    The effectiveness of the campaign was measured by ingesting and analysing the response data. ​

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    We helped a prominent fintech player automate fraud detection and increase Customer Lifetime Value

    Case Study

    We helped a prominent fintech player automate fraud detection and increase Customer Lifetime Value

    The Results
    0 %
    Increased Customer Average Lifetime Value
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    Reduced Customer Complaints
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    Increased MHI (Merchant Happiness Index)
    The Execution

    Our client is a prominent Indian fintech company specializing in comprehensive online payment services. Their platform enables effortless transactions through advanced features like payment gateways, direct links, customizable pages, and quick payment buttons, catering to a diverse commercial clientele.

    Our client grappled with challenges in securing their payment processes. The lack of strict validation rules has escalated fraud incidents, resulting in legal issues and significant financial losses.

    It became imperative to fortify compliance with regulatory benchmarks, thereby mitigating legal exposures, diminishing the frequency of chargebacks, and reducing ancillary expenses.

    The Approach

    Our approach to addressing the client’s challenges encompassed the development and implementation of a sophisticated rule-based model for transaction validation. This model scrutinizes each transaction, discerning its legitimacy and deciding whether to approve or decline it based on a set of predetermined criteria. Our solution involved:

    1. Comprehensive analysis of transactional data to detect patterns indicative of fraud.
    2. Implementation of high-accuracy tracking metrics tailored to distinguish fraud on both domestic and international transactions.
    3. Identification of high-risk factors, including specific customers, IP addresses, devices, cards, or virtual payment addresses (VPAs), where the incidence of fraud was significantly higher.
    4. Integration of an automated fraud detection system, powered by our rules-based engine, which utilizes the metrics to issue alerts for suspicious transactions.
    5. Creation of dynamic workflows triggered by these alerts to enable swift and decisive actions against potentially fraudulent merchants or transactors.

    Through the deployment of our rule-based engine, we significantly enhanced our client’s defence against fraudulent activities. This not only protected their customers from potential fraudsters but also safeguarded the company from reputational damage and monetary losses, reducing financial impact for 80%.

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    We boosted app installs for blu by BCA Digital, resulting in record-breaking new accounts and cost-effective conversions

    We boosted app installs for blu by BCA Digital, resulting in record-breaking new accounts and cost-effective conversions

    The Results

    100%​ Accuracy in migration of 90% of the datasets | 3 months​ Successful migration of 400+ tables and 200+ stored procedures

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    Accuracy in migration of 90% of the datasets.​
    0 months
    Successful migration of 400+ tables and 200+ stored procedures.
    The Challenge

    Increased competition in the Indonesian digital banking market made it challenging for blu to stand out and acquire new users effectively.

    The Solution

    An eminent Indian ecommerce entity specializing in fashion, beauty, and lifestyle products, faced the significant challenge of migrating its data warehouse from AWS to Microsoft Azure. ​

    This strategic move necessitated a data engineering partner proficient in both cloud platforms, with a deep understanding of the nuanced data requirements essential for their business and technical objectives. ​

    ADA spearheaded the migration. The team replicated the existing AWS Redshift data structures and objects onto Azure Synapse, optimizing them for enhanced performance and ease of use. ADA employed shell scripts to automate the migration of data from AWS S3 buckets to Azure Blob storage, leveraging Azkaban for batch workflow scheduling to oversee the migration process efficiently.​

    This also positioned the company to capitalize on Azure’s advanced data warehousing capabilities, marking a significant milestone in its data management evolution.​

    The Execution

    Previous systems

    New system

     

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    We achieved major user acquisition with our outcome-based model for UOB TMRW Thailand

    Case Study

    We achieved major user acquisition with our outcome-based model for UOB TMRW Thailand

    The Results
    0 +
    new users avg. during the campaign with +15% MoM growth
    0 %
    MoM increase in first-time logins
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    open Saving Accounts with 60% funded
    The Challenge

    Following a merger, UOB TMRW Thailand experienced a 76% drop in conversions due to a new app version and authentication issues from fraudulent Mule accounts.

    Insights

    Using XACT data, we targeted finance and fintech enthusiasts, interested in credit cards and cashback offers. The focus was on millennials, fashion shoppers, travelers, financial optimisers, and individuals earning THB15K+ monthly, ensuring precise targeting in mid to high affluence segments.

    Strategy

    ADA’s campaign used Google, Meta,and Programmatic Channels, targeting Cashback Lovers, Rewards & Points Addicts, and Mileage Fans. Extensive research informed a strong keyword strategy and precise location-based targeting in Bangkok, leveraging ADA’s proprietary DMP.

    Execution
    1 Programmatic Channels

    Selected premium inventory and optimised performance.

    2 Google Search Ads

    Maximised impression share with web-to-app tracking.

    3 Advanced ABCD Testing

    Evaluated multiple key variables for effective creatives.

    4 Real-Time Optimisation

    Data-driven adjustments on the fly.

    5 Scheduled KV and Ad Refresh

    Prevented ad fatigue with regular updates.

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    How a Leading Bank Achieved 255% Cross-Sell Conversion with CDP-Powered Micro-Segmentation 

    Industry type

    How a Leading Bank Achieved 255% Cross-Sell Conversion with CDP-Powered Micro-Segmentation 

    The Results

    255% Cross-sell Conversion Lift | 3X Media Efficiency | Significant CAC Reduction 

    0 %
    Cross-Sell Conversion Lift
    0 X
    Media Efficiency
    Significant CAC Reduction
    The Challenge

    A major Southeast Asian bank was running credit card cross-sell campaigns with broad targeting and generic offers. Without propensity scoring, all customers were treated equally, whether they were likely to convert or not. The bank was advertising to existing cardholders (who couldn’t convert) and low-propensity prospects (who wouldn’t convert).

    The underlying problem was data fragmentation. Transaction data sat in one system, digital behaviour in another, and demographic data in a third. There was no unified view of the customer.

    The Solution

    ADA implemented Customer 360 with propensity modelling. The first step was building a unified customer view combining transaction history, digital behaviour, and demographic data.

    On top of this, ADA deployed a credit card propensity model scoring every customer for cross-sell likelihood. The model predicted which card each customer would prefer, enabling micro-segmentation for personalized offers. Existing cardholders and low-propensity segments were suppressed from paid media, concentrating spend on customers who could and would convert.

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    How a Leading Credit Leasing Company Doubled Payment Collection Efficiency with WhatsApp

    Industry type

    How a Leading Credit Leasing Company Doubled Payment Collection Efficiency with WhatsApp

    The Results

    62.5% Higher Engagement Rate | 2X Collection Efficiency 

    0 %
    higher engagement rate
    0 x
    payment collection efficiency
    The Challenge

    A credit leasing company in Malaysia, part of a major Japanese financial group, had a collections problem hiding in plain sight: customers weren’t ignoring payment reminders because they couldn’t pay, they were ignoring them because they didn’t see them.

    Phone calls went unanswered. Emails sat unread. SMS got lost in spam. The collection team was spending hours on manual follow-ups with single-digit response rates. Every missed touchpoint meant delayed payments and strained cashflow.

    The Solution

    ADA implemented WhatsApp Business Platform, meeting customers on a channel they actually check. Automated reminders replaced manual follow-ups, with clear payment instructions and direct links to take action.

    The difference from email or SMS: two-way conversation. Customers could reply instantly to clarify amounts, negotiate timelines, or confirm payment, all within the same thread. No phone tag, no waiting for callbacks. Engagement jumped 62.5% compared to traditional channels. Collection efficiency doubled.

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    How MBSB Bank processed 75,000+ loan applications in one week

    Industry type

    How MBSB Bank processed 75,000+ loan applications in one week

    The Results
    0 +
    applications in week 1
    0 RM
    M secured in 3 weeks
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    interaction shifted to WhatsApp
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    efficiency gain
    The Challenge

    MBSB Bank was launching the Ihsan-i financing programme for EPF members and the launch immediately overwhelmed existing infrastructure. The application process was complex, requiring document verification, eligibility checks, and status tracking. Traditional channels couldn’t handle the volume.

    Programme launch triggered a surge of customer inquiries, FAQs about eligibility, application guidance, and tracking requests for applications in progress. Existing support couldn’t provide the responsive, personalized experience customers expected from a modern financial product.

    The Solution

    ADA deployed a bilingual WhatsApp chatbot in Bahasa Malaysia and English, handling FAQs, application guidance, and status tracking. WhatsApp was integrated into the bank’s primary customer service workflow with broadcast modules for application reminders.

    Phase 2 expanded WhatsApp capabilities to other MBSB products through API-based workflows, with seamless escalation to human agents for complex queries. The result: over 75,000 applications processed in the first week, RM722 million in financing secured within 3 weeks, and 90% of customer interactions shifting to WhatsApp as the preferred channel.

    “WhatsApp became our preferred channel, 90% of customer interactions moved to conversational.”
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