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ADA boosts sales by 5370% for a Singaporean travel insurance brand with paid search

Results
0 %
growth in sales within 6 months
0 %
reduction in CPA
The Challenge

In the competitive landscape of Singapore’s travel insurance sector, established industry giants typically hold sway over consumer preferences. However, when travel restrictions eased post-pandemic, an influx of brands and options inundated the market. To navigate this rapidly changing landscape and compete with dominant players during the surge in demand, our client required a dynamic strategy capable of adapting swiftly and driving sales. Our approach focused on cultivating various touchpoints to build brand awareness, fuel consideration, and ultimately drive conversions.

Solution

To address consumer demands for flexible, comprehensive travel insurance covering vital features like cancellation, refunds, and COVID-19 coverage, we adopted a full-funnel strategy. This entailed placing significant emphasis on search channels to engage potential customers at every stage of their purchase journey. Recognizing the critical battleground at the bottom of the funnel, particularly on platforms like Google and Bing, we concentrated on driving conversion.

We executed a multi-pronged approach, encompassing Facebook and search campaigns on Google and Bing, alongside the implementation of Google Performance Max campaigns. Thorough keyword research was conducted to comprehensively cover various user intents amid the market’s volatility. Tailored remarketing campaigns were designed to instill a sense of urgency in prospects, with vigilant monitoring to seize opportunities for increased budget allocation based on emerging travel trends. Leveraging machine learning, we harnessed millions of signals to optimize bidding strategies for enhanced efficiency and conversions.

Results
Challenge
Solution
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ADA boosts sales by 5370% for a Singaporean travel insurance brand with paid search

ADA boosts sales by 5370% for a Singaporean travel insurance brand with paid search

Results
0 %
growth in sales within 6 months
0 %
reduction in CPA
The Challenge

In the competitive landscape of Singapore’s travel insurance sector, established industry giants typically hold sway over consumer preferences. However, when travel restrictions eased post-pandemic, an influx of brands and options inundated the market. To navigate this rapidly changing landscape and compete with dominant players during the surge in demand, our client required a dynamic strategy capable of adapting swiftly and driving sales. Our approach focused on cultivating various touchpoints to build brand awareness, fuel consideration, and ultimately drive conversions.

Solution

To address consumer demands for flexible, comprehensive travel insurance covering vital features like cancellation, refunds, and COVID-19 coverage, we adopted a full-funnel strategy. This entailed placing significant emphasis on search channels to engage potential customers at every stage of their purchase journey. Recognizing the critical battleground at the bottom of the funnel, particularly on platforms like Google and Bing, we concentrated on driving conversion.

We executed a multi-pronged approach, encompassing Facebook and search campaigns on Google and Bing, alongside the implementation of Google Performance Max campaigns. Thorough keyword research was conducted to comprehensively cover various user intents amid the market’s volatility. Tailored remarketing campaigns were designed to instill a sense of urgency in prospects, with vigilant monitoring to seize opportunities for increased budget allocation based on emerging travel trends. Leveraging machine learning, we harnessed millions of signals to optimize bidding strategies for enhanced efficiency and conversions.

Results
Challenge
Solution
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Enhancing branch digital transformation for an Indonesian commercial bank with location analytics

Enhancing branch digital transformation for an Indonesian commercial bank with location analytics

Results

  • 100% of underperforming branches identified and prioritized for relocation to higher-potential trade areas

  • New high-affluence opportunity zones mapped, uncovering untapped locations with strong concentrations of wealth managers, businesses, and salaried professionals lacking banking presence

  • Location Planner insights embedded into 5-year transformation roadmap, guiding long-term branch strategy and investment planning

The Challenge

As Indonesia’s banking landscape grew more competitive, the client needed to find their competitive edge to continue growing in times of critical uncertainty.

The client turned to ADA to leverage our data analytics expertise to evaluate several key locations to determine the presence and distribution of Syariah banking competitors. In addition, our heatmap enables our client to optimise the blueprint of their branches for the next 5 years.

The Solution
1 Derive insights from XACT, ADA’s proprietary DMP

We were able to draw fundamental information to assess location opportunities for customer profiling: Audience Movement, Area Density, Competitive Intensity.

2 Identify low / non-penetrated hotspot location

We identified unpenetrated “hotspots” by using the customer and Point of Interest (POI) filters to validate the branch model and identify a new location with minimal competition.

3 Identify underserved hotspot locations

Besides identifying the underserved areas for a new branch concept, we also assessed competitive intensity and uncovered underserved hotspots for the right branch mix.

4 Determine whether to retain or relocate branches

Using heatmap, we determined whether its several existing branches can be retained, or if a new branch or relocation would be necessary.

Execution
5 Regional Location Planner

Split into 8 different regions with multiple filters, e.g: home vs. footfall density, segment, age, affluence, and more were applied to verify the customer behaviour of a particular location.

6 Commercial Dashboard

The Commercial Dashboard enables the client to choose multiple variables on province and industry type, with colour-concentration intensity.

7 Customer Zip Dashboard

Displays the density of the client’s customer in particular areas based on customer segments such as company/merchants/premier customers with activity status (dormant vs. active).

Results
Challenge
Solution
Execution
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We helped a leading ecommerce retailer trial a centralised data operations team to improve efficiencies and reduce incident rates

We helped a leading ecommerce retailer trial a centralised data operations team to improve efficiencies and reduce incident rates

Results
0 %
The average Time-To-Response for frequent data issues was reduced from 20 days to 5 days
0 %
​Average weekly incidents was reduced from 30 to 10
Customer’s engineering teams could focus on improving the source data integrations
The Challenge

A leading Indian e-commerce platform in fashion, beauty, and lifestyle operated with fragmented data ownership across departments such as marketing, finance, and insights. Each team requested different datasets, commercial metrics, clickstream data, storefront analytics, creating a constant stream of ad hoc data pipeline requests.

Engineering teams were overwhelmed with building, maintaining, and troubleshooting these pipelines, leading to long turnaround times for resolving data issues and a high volume of recurring incidents. The lack of centralized triage and standardized processes created inefficiencies, duplicated effort, and inconsistent data quality across teams.

The client needed a more structured data operations model to reduce incident volume, speed up response times, and free engineering resources to focus on improving core data integrations and platform reliability.

The Solution

ADA helped define and trial a centralized data operations team that would triage and manage all departmental data issues, perform initial assessment and route analysis findings to the relevant engineering teams.​

ADA also improved the data process and minimized incident rates by building self-healing data pipelines and reporting on data accuracy. ADA also put in place data pipelines and business logic for derived and aggregated datasets orchestrated using Azkaban; a batch workflow job scheduler that allows for tracking and monitoring of the data workflows.​

Results
Challenge
Solution
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ADA helped a leading online pharmacy optimize data storage costs and performance by migrating from AWS Redshift to Apache Hive

ADA helped a leading online pharmacy optimize data storage costs and performance by migrating from AWS Redshift to Apache Hive

Results
0 %
Reduction in storage costs​
0 %
Performance reduction of query run time from ~50 minutes to ~15 minutes​
0 months
Reduction of query run time from ~50 minutes to ~15 minutes​
The Challenge

A leading online pharmacy and medical platform serving 1,000+ cities and 22,000+ pin codes was experiencing rapid data growth from streaming transactions, customer activity, and operational reporting. Their existing AWS Redshift data warehouse began facing scalability limits, with storage costs rising sharply and query performance slowing down.

Long-running queries—often taking nearly an hour—delayed reporting cycles and impacted decision-making across operations, supply chain, and customer analytics teams. At the same time, the business needed to maintain uninterrupted reporting while modernising its data infrastructure, making migration and optimisation complex and high-risk.

The client required a scalable, cost-efficient data warehouse solution that could reduce storage expenses, improve query performance, and support continued growth without disrupting critical analytics workflows.

The Solution

The customer is the region’s top online pharmacy and medical care platforms with doorstep delivery service available in 1000+ cities and towns across 22000+ pin codes. They provide a wide range of over-the-counter products and medical equipment across a broad budget spectrum.​

The customer was facing growing storage costs and scalability bottlenecks on their existing AWS Redshift data warehouse as their volume of streaming and transactional data was increasing. They needed a more cost-effective data and customizable data warehouse for their data growth.​

ADA helped to evaluate different technologies and developed a phase-by-phase plan to migrate the existing data to a Hadoop based Apache Hive data warehouse. We ensured that existing data reporting operations remain unaffected during the migration process. ​

ADA established best practices, performed necessary data validation, and deployed optimized codes that would power multiple business-wide dashboards and reports.

Results
Challenge
Solution
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We helped a leading ecommerce retailer automate their financial month end closing and reduce their turn around time​

We helped a leading ecommerce retailer automate their financial month end closing and reduce their turn around time​

Results
0 %
Reduced month end closing effort from 7-10 man days to only 4 hours.
Reduced the turn-around-time for resolving data discrepancies.​
The Challenge

A leading Indian e-commerce platform in fashion, beauty, and lifestyle was struggling to close its financial books efficiently at month end. The finance team relied on manual calculations and reconciliations, taking 7–10 man days to complete reporting and increasing the risk of errors.

Data discrepancies across multiple systems covering taxes, commissions, stock transfers, and goods received, caused further delays, slowing down dependent processes such as accounts receivable, accounts payable, and inventory reconciliation.

The client needed a faster, more reliable way to automate calculations, improve data accuracy, and streamline month-end closing without disrupting ongoing finance operations.

The Solution

An eminent Indian e-commerce entity specializing in fashion, beauty, and lifestyle products, faced significant challenges to expedite their financial month end closing. ​

The customers finance team were manually calculating and reporting their month end closure taking between 7-to-10-man days to complete. Compounded with the high turnaround time to resolve data discrepancies and provide clean data, this further impacted other dependent finance activities such as accounts receivable, account payable, and inventory.​​

ADA helped to reduce the turn around time by building automated data pipelines that calculated the various figures required for their financial reporting (e.g., tax, commissions, stock transfer notes, good received notes).​

ADA built data completeness checks and split the month end closure activity into separate phases (Phase 1: start of month till 24th of the month, Phase 2: 24th till month end) allowing us to quickly identify and resolve any data discrepancies early on.​

Results
Challenge
Solution
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ADA lowered customer acquisition costs and boosted engagement with a targeted campaign for Mitsubishi

ADA lowered customer acquisition costs and boosted engagement with a targeted campaign for Mitsubishi

Results
0 +
Daily Average Sessions
0 %
Reduction in Customer Acquisition Cost
The Challenge

Mitsubishi needed to launch the new Xpander in Indonesia’s competitive SUV market, where a competitor dominated consumer preferences. Our goal was to attract new customers while engaging existing Mitsubishi owners, capturing attention in a crowded market.

The Solution

ADA launched a targeted awareness campaign featuring customised creatives and messaging tailored to key segments based on consumer intent using XACT. The campaign also included a monthly creative refresh to engage different segments and capture their attention.

We targeted mid- to high-affluence consumers for the Xpander, recognising their preference for family-oriented SUVs that offer advanced features and convenience. These consumers prioritise practicality and well-equipped vehicles, which aligns perfectly with the Xpander’s key attributes.

Execution
2 Introducing users to the features and benefits of the Mitsubishi Xpander.

Developed an awareness campaign focused on driving traffic to a dedicated landing page, introducing users to the features and benefits of the Mitsubishi Xpander.

3 Utilised ADA’s XACT tool for audience segmentation

targeting consumers based on intent and interests across categories like Automotive, Lifestyle, Entrepreneur,Music, Travel, and Urban Areas.

4 Customised key visuals

Tailored to specific target segments, highlighting features relevant to their interests, such as spaciousness for families.

5 Monthly creative refresh strategy

Implemented a monthly creative refresh strategy to update visuals and messaging, ensuring the content remains engaging and relevant.

Results
Challenge
Solution
Execution
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How Malaysia’s leading telco is exploring privacy-safe data collaboration for credit intelligence 

How Malaysia’s leading telco is exploring privacy-safe data collaboration for credit intelligence 

Results
0 M
previously unscorable consumers now assessable
0 %
improvement in credit decisioning accuracy for thin-file applicants
0 %
faster time-to-decision for BFSI partners via API
The Challenge

Extending credit access to unbanked and underbanked consumers required going beyond traditional bureau data. Many thin-file applicants lacked sufficient financial history to be accurately assessed using conventional credit scoring models.

To address this gap, telco network data presented a powerful alternative signal—offering behavioural insights such as payment consistency, usage patterns, and tenure. However, combining telco data with bureau scores introduced significant challenges:

  • Ensuring data privacy and regulatory compliance

  • Enabling collaboration between telco and financial institutions without exposing raw customer data

  • Building a scalable model that could integrate alternative data into existing credit workflows

  • Delivering faster decisions without compromising risk controls

The client needed a secure, privacy-safe data collaboration framework that could unlock new credit insights while maintaining strict governance standards.

The Solution

ADA designed a phased transformation roadmap—starting from secure data collaboration infrastructure through to production-ready credit scoring models.

The journey began with the implementation of a Snowflake Data Clean Room, enabling telco and BFSI partners to collaborate on anonymised, encrypted datasets without directly sharing personally identifiable information (PII). This privacy-by-design environment ensured regulatory compliance while unlocking high-value alternative data signals.

Next, ADA engineered enriched feature sets by combining bureau scores with telco behavioural attributes, enhancing risk visibility for thin-file applicants. Advanced analytics and machine learning models were developed to improve predictive power, with rigorous validation and bias testing to ensure fairness and accuracy.

Finally, the enhanced credit scoring model was integrated via API into BFSI partner systems, reducing processing times by 40% and enabling near real-time decisioning.

This structured, privacy-safe approach enabled financial institutions to responsibly expand credit access while improving underwriting precision and operational efficiency.

Results
Challenge
Solution
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How ADA delivered 80% GMV growth and 60% conversion uplift through marketplace operations 

How ADA delivered 80% GMV growth and 60% conversion uplift through marketplace operations 

Results
0 %
GMV growth
0 %
conversion rate uplift
0 %
ATP rate maintained
The Challenge

As marketplaces rebounded post-COVID, the client needed to capture renewed demand while rebuilding operational stability. Rapid shifts in consumer behaviour created unpredictable demand patterns, making it difficult to sustain growth without overstocking or running into availability issues.

At the same time, campaign planning became increasingly complex. Coordinating promotions across multiple SKUs, brands, and seasonal events required precise assortment decisions, while fragmented inventory management led to stockouts, delayed fulfilment, and missed sales opportunities.

The client needed a structured marketplace strategy that could balance growth, conversion performance, and inventory efficiency, all while maintaining high service levels across campaigns.

The Solution

ADA implemented an end-to-end marketplace operations framework to improve execution consistency and scalability. We introduced a structured weekly campaign planning cadence aligned with sales targets and key marketplace events, ensuring the right assortment mix and promotional strategy for each campaign window.

Clear assortment guidelines were developed using performance data and demand forecasting, helping prioritize high-converting SKUs and avoid low-impact listings. In parallel, we strengthened inventory planning with tighter demand forecasting and replenishment processes, maintaining a 95% ATP rate to ensure product availability during peak campaign periods.

Finally, monthly business reviews were established to track performance metrics, identify optimisation opportunities, and refine strategies continuously. This disciplined, data-driven approach helped the client scale marketplace performance sustainably while improving conversion rates and operational efficiency.

Results
Challenge
Solution
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Improving treatment effectiveness for an Indian hospital chain with patient-based forecasting model

Improving treatment effectiveness for an Indian hospital chain with patient-based forecasting model

The Results
  • Patient education was enhanced, enabling individuals to have a deeper understanding of their ailments and treatment options
  • Support and interventions were tailored to each patient
  • Seamless communication and feedback loop
0 %
treatment adherence increased
The Challenge

Headquartered in India, our client is an established chain of eye specialty hospital that operates within a network of 103 centres in India and 15 centres internationally.

However, the chain has been experiencing a significant drop in patient adherence at various stages of treatment, leading to suboptimal treatment outcomes. The client’s objective is to enhance patient adherence throughout the treatment process, including post-procedures, to achieve improved treatment outcomes.

To address this challenge, the client aims to develop a robust patient-targeting module that can effectively remind patients of their appointments with ophthalmologists and other critical checkpoints, thereby promoting and facilitating improved adherence to the treatment plan.

The Solution
1 Patient segmentation

We started by mapping out the end-to-end patient journey to identify key stakeholders and areas of patient dropouts during that journey. Patient segments were created based on the patient’s demographic details, medical history, and segment types. For example, a healthy patient with a generic eye ailment or a patient with a history of complex eye ailments.

2 Defining the line of treatment

We worked with the hospital SMEs to define the line of treatment for various ailments, such as refractive errors, glaucoma, cataract, retinal detachment, macular degeneration, and amblyopia. These involved a range of interventions, including corrective lenses, medication, surgery, or vision therapy, depending on the specific condition. A complete treatment requires long-term adherence.

 

3 Patient targeting

Patient-level targeting was done based on the segment to which the patient belongs, and the ailment assessed by the physician through diagnosis. This was achieved through a series of reminder protocols.

Results
Challenge
Solution
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ADA helped a global retailer create a modern unified data platform on Databricks to reduce operational costs and streamline data workflows

Case Study

ADA helped a global retailer create a modern unified data platform on Databricks to reduce operational costs and streamline data workflows

The Results
0 %
Costs reduction from streamlined workflows and optimized code
0 Dashboards
Medallion architecture on Databricks enabled faster dashboard refresh rates.
Data validation measures ensured data accuracy and integrity post migration.
The Challenge

The customer is a leading global sporting goods retailer with a footprint in 56 countries and selling products from over 20 brands.

The Solution

The customer built their existing data platform on disparate cloud services (Amazon Redshift for data storage, Python/SQL for data processing, and Jenkins for workflow automation). The existing platform introduced many integration challenges that led to increased costs and reduced operational efficiencies.

ADA helped design, implement, and migrate their existing data to a new unified data platform on Databricks. We successfully resolved many technical challenges including handling and migrating diverse data sources, overcome limited support for converting Python code to PySpark using innovative solutions, and ensuring data alignment between the old platform and the new Databricks platform.

The project was executed seamlessly, preserving data integrity and security while avoiding disruptions to ongoing operations.

The Approach

Our goal is to establish a gold layer within the Databricks system, utilizing data from the silver layer for business intelligence reporting. Our approach to achieve this involves:

  • Data Source Analysis: Understand current data sources and associated codes for a clear migration foundation.
  • Code Transformation with Optimization and Quality Checks: Convert Python/SQL to Pyspark/Spark SQL, adding data quality checks for reliable data integrity and optimize it for space and speed.
  • Data Validation and Comparison: Verify Databricks data against Redshift data, ensuring seamless alignment.
  • Data Orchestration: Schedule jobs using Databricks workflows, implementing monitoring and alerts for a reliable workflow.
  • Documentation and Knowledge Transfer: Document the migration process for reference and conduct knowledge transfer sessions for enhanced team adoption.
Content
Results
Challenge
Solution
Approach
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