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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

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Segment

Financial Services

The Results

Maintaining the number of registered users, we improved the audience strategy towards KYC4 (users who are converted until the KYC4 step), where KYC4 increased by +235% on average in 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.

-200 %
reduction in CAC against benchmark
0 +
Daily Average of New Users Completing KYC
0 %
Improvement on the Funnel Conversions
0 %
Conversion Rate on Users Completing KYC to Trading

The 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.

The 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 behaviour 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 ADA’s Acquisition CPA Calculator. Unlike traditional estimation tools, the CPA Calculator is powered by AI modelling and 6 years of solid data from past campaigns conducted across 12 markets in Asia. It allowed us to precisely gauge the cost per acquisition based on the client’s budget, industry, and performance objectives, helping us allocate resources efficiently and maximise the campaign’s ROI while maintaining low acquisition costs.

Awards

  • Bronze in Excellence in Programmatic Marketing at Marketing Excellence Awards 2024
  • Gold in Excellence in Mobile Marketing at Marketing Excellence Awards 2022
  • Silver in Excellence in Data-driven Marketing and Consumer Insights at Marketing Excellence Awards 2022
Table Of Contents
The Results
The Challenge
The Strategy
Awards

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Wine.com Drives AttributeBased Recommendations for Personalization

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Reduction in out-of-stock across stores
0 %
increase in revenue

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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

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Segment

Financial Services

The Results

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

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.

Table Of Contents
The Results
The Challenge
The Strategy
The Execution

Explore More Resources on Commerce Personalization

Wine.com Drives AttributeBased Recommendations for Personalization
Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %
Reduction in out-of-stock across stores
0 %
increase in revenue

Let’s turn your data and AI into measurable outcomes!

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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

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Segment

Financial Services

The Results

≥ Clarity
Analysed 9 product combinations and identified major factors leading to higher revenue loss rate
≥ Efficiency
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 contributing factors being the unavailability of a system to analyse data and provide strategic insights. The client needed a solution to analyse their large datasets at an advanced level, including product offerings, policies, and customers. This would support strategic decision-making for future cross-selling and up-selling opportunities.

ADA stepped in and advised the client to opt for an Auto-ML solution-based model to conduct advanced analysis, provide insights into which product combinations were impacting revenue loss, and predict which combinations to avoid in the 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.

Table Of Contents
The Results
The Execution

Explore More Resources on Commerce Personalization

Wine.com Drives AttributeBased Recommendations for Personalization
Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %
Reduction in out-of-stock across stores
0 %
increase in revenue

Let’s turn your data and AI into measurable outcomes!

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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

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Segment

Financial Services

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.

Table Of Contents
The Results
The Challenge
The Solution

Explore More Resources on Commerce Personalization

Wine.com Drives AttributeBased Recommendations for Personalization
Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %
Reduction in out-of-stock across stores
0 %
increase in revenue

Let’s turn your data and AI into measurable outcomes!

Book a Demo

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

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Segment

Financial Services

The Results

0 %
Increased Customer Average Lifetime Value
0 %
Reduced Customer Complaints
0 %
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 by 80%.

Table Of Contents
The Results
The Approach
The Execution

Explore More Resources on Commerce Personalization

Wine.com Drives AttributeBased Recommendations for Personalization
Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %
Reduction in out-of-stock across stores
0 %
increase in revenue

Let’s turn your data and AI into measurable outcomes!

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

Case Study

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

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Segment

Financial Services

The Results

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

0 %
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

Table Of Contents
The Results
The Challenge
The Solution
The Execution

Explore More Resources on Commerce Personalization

Wine.com Drives AttributeBased Recommendations for Personalization
Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

See full story
0 %
Reduction in out-of-stock across stores
0 %
increase in revenue

Let’s turn your data and AI into measurable outcomes!

Book a Demo

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

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Segment

Financial Services

The Results

0 +
new users avg. during the campaign with +15% MoM growth
0 %
MoM increase in first-time logins
0 +
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.

Table Of Contents
The Results
The Challenge
The Insights
The Strategy
The Execution

Explore More Resources on Commerce Personalization

Wine.com Drives AttributeBased Recommendations for Personalization
Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

See full story
0 %
Reduction in out-of-stock across stores
0 %
increase in revenue

Let’s turn your data and AI into measurable outcomes!

Book a Demo

How DBS Improved First Login by 84% with Compliant, Personalized Broadcasts 

Case Study

How DBS Improved First Login by 84% with Compliant, Personalised Broadcasts 

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Segment

Financial Services

The Results

84% First Login Increase | 20% CAC Reduction | 1M+ Users Reached 

0 %
First Login Increase
0 %
CAC Reduction
0 M+
Users Reached

The Solution

ADA deployed an on-premise solution meeting strict compliance and data sovereignty requirements, executing large-scale personalized broadcasts to ~1M users, driving first login events, funded accounts, and credit card approvals.

Table Of Contents
The Results
The Solution

Explore More Resources on Commerce Personalization

Wine.com Drives AttributeBased Recommendations for Personalization
Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %
Reduction in out-of-stock across stores
0 %
increase in revenue

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

Case Study

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

Where every touchpoint earns trust, every interaction creates value, and every decision is powered by realtime insight.
Get a Demo
Segment

Financial Services

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).rnrnThe 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.rnrnOn 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.

Table Of Contents
The Results
The Challenge
The Solution

Explore More Resources on Commerce Personalization

Wine.com Drives AttributeBased Recommendations for Personalization
Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

See full story
0 %
Reduction in out-of-stock across stores
0 %
increase in revenue

Let’s turn your data and AI into measurable outcomes!

Book a Demo

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

Case Study

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

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Segment

Financial Services

The Results

62.5% Higher Engagement Rate | 2X Collection Efficiency | Reduced Follow-up Time

0 %
higher engagement rate
0 x
payment collection efficiency

The Challenge

Manual follow-ups were straining resources, payments were delayed, and traditional channels had low engagement rates.

The Solution

ADA implemented the WhatsApp Business Platform to automate payment collection, replacing manual follow-ups with personalized reminders, enabling two-way conversations for immediate payment action, and significantly improving cashflow.

Table Of Contents
The Results
The Challenge
The Solution

Explore More Resources on Commerce Personalization

Wine.com Drives AttributeBased Recommendations for Personalization
Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

See full story
0 %
Reduction in out-of-stock across stores
0 %
increase in revenue

See How ADA Verify Can Simplify Your Customer Onboarding

Book a Demo
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