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Case Study

How POKKA First Drip Captured Working Adults and Boosted Brand Awareness Through a Targeted Digital Strategy

The Results
0 M
Impressions
0 %
Click-through rate (CTR)
0 s
Engagement Time
0 %
Engagement rate
0
link clicks
The Challenge

1. Breaking Into the Premium RTD Coffee Market‚:

POKKA, a leading beverage brand in Singapore, sought to expand its market presence by launching its new First Drip coffee line. The goal was to capture a significant share of the premium Ready-To-Drink (RTD) coffee segment while reinforcing the brand’s commitment to health and wellness.

The primary challenge was generating interest and awareness among working adults, a demographic that values both convenience and quality in their coffee choices. Additionally, the brand needed to drive both online and offline sales through ecommerce platforms like Shopee and Lazada while competing with established global players such as Starbucks and Nescaf√©, as well as regional brands like Suntory’s Boss Coffee.

2. Competitive Landscape

The premium RTD coffee market is highly competitive, with global giants dominating the space. For new entrants like POKKA’s First Drip, differentiation was crucial. Key strategies to stand out included:

  • Offering unique flavors and local customization
  • Leveraging ecommerce platforms and mobile-first strategies
  • Expanding distribution to non-traditional channels such as offices, cafes, and wellness centers
  • Strengthening digital engagement with loyalty programs and exclusive promotions

3. Understanding the Target Audience

POKKA focused on working adults, a segment that actively seeks convenient, high-quality coffee solutions to match their fast-paced, productivity-driven lifestyles. This audience:

  • Values quick energy boosts without compromising on taste or health
  • Spends significant time on mobile devices, social media, and streaming platforms
  • Prefers seamless online shopping experiences and efficient product discovery
The Strategy

To maximise awareness and engagement within a limited budget, POKKA executed a highly targeted social media campaign using:

  • Facebook & Instagram for broad engagement
  • Programmatic ad buys to extend reach and precision targeting

This integrated approach ensured maximum visibility and reinforced POKKA First Drip’s presence in the competitive RTD coffee market.

The Execution

1. Planning & Targeting:

  • Maintained broad demographic targeting across Singapore to ensure visibility
  • Applied interest filters focused on coffee enthusiasts & beverage consumers
  • Incorporated Meta’s ‚ÄòEngaged Shoppers’ audience segment to target active online buyers

2. Creative Execution:

  1. Developed visually engaging content showcasing different coffee personalities
  2. Created relatable ‚Äòessential kits’ for different working personas featuring First Drip coffee
  3. Optimised landing pages for a seamless shopping experience, guiding users directly to ecommerce store pages
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3. Real-Time Optimisation:

  1. Continuously monitored ad performance
  2. Implemented data-driven optimisations to improve cost efficiency and engagement rates

By leveraging social media, programmatic advertising, and engaging creatives, POKKA successfully captured the attention of working adults, reinforcing brand loyalty and increasing visibility in the premium RTD coffee market.

This case study highlights how a well-planned, targeted digital strategy can drive brand awareness and differentiate a product in a crowded market. With its data-driven and consumer-centric approach, POKKA First Drip has established itself as a strong contender in the premium RTD coffee space.

Content
Results
Challenge
Strategy
Execution
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How POKKA First Drip Captured Working Adults and Boosted Brand Awareness Through a Targeted Digital Strategy

Case Study

How POKKA First Drip Captured Working Adults and Boosted Brand Awareness Through a Targeted Digital Strategy

The Results
0 M
Impressions
0 %
Click-through rate (CTR)
0 s
Engagement Time
0 %
Engagement rate
0
link clicks
The Challenge

1. Breaking Into the Premium RTD Coffee Market‚:

POKKA, a leading beverage brand in Singapore, sought to expand its market presence by launching its new First Drip coffee line. The goal was to capture a significant share of the premium Ready-To-Drink (RTD) coffee segment while reinforcing the brand’s commitment to health and wellness.

The primary challenge was generating interest and awareness among working adults, a demographic that values both convenience and quality in their coffee choices. Additionally, the brand needed to drive both online and offline sales through ecommerce platforms like Shopee and Lazada while competing with established global players such as Starbucks and Nescaf√©, as well as regional brands like Suntory’s Boss Coffee.

2. Competitive Landscape

The premium RTD coffee market is highly competitive, with global giants dominating the space. For new entrants like POKKA’s First Drip, differentiation was crucial. Key strategies to stand out included:

  • Offering unique flavors and local customization
  • Leveraging ecommerce platforms and mobile-first strategies
  • Expanding distribution to non-traditional channels such as offices, cafes, and wellness centers
  • Strengthening digital engagement with loyalty programs and exclusive promotions

3. Understanding the Target Audience

POKKA focused on working adults, a segment that actively seeks convenient, high-quality coffee solutions to match their fast-paced, productivity-driven lifestyles. This audience:

  • Values quick energy boosts without compromising on taste or health
  • Spends significant time on mobile devices, social media, and streaming platforms
  • Prefers seamless online shopping experiences and efficient product discovery
The Strategy

To maximise awareness and engagement within a limited budget, POKKA executed a highly targeted social media campaign using:

  • Facebook & Instagram for broad engagement
  • Programmatic ad buys to extend reach and precision targeting

This integrated approach ensured maximum visibility and reinforced POKKA First Drip’s presence in the competitive RTD coffee market.

The Execution

1. Planning & Targeting:

  • Maintained broad demographic targeting across Singapore to ensure visibility
  • Applied interest filters focused on coffee enthusiasts & beverage consumers
  • Incorporated Meta’s ‚ÄòEngaged Shoppers’ audience segment to target active online buyers

2. Creative Execution:

  1. Developed visually engaging content showcasing different coffee personalities
  2. Created relatable ‚Äòessential kits’ for different working personas featuring First Drip coffee
  3. Optimised landing pages for a seamless shopping experience, guiding users directly to ecommerce store pages
__wf_reserved_inherit

3. Real-Time Optimisation:

  1. Continuously monitored ad performance
  2. Implemented data-driven optimisations to improve cost efficiency and engagement rates

By leveraging social media, programmatic advertising, and engaging creatives, POKKA successfully captured the attention of working adults, reinforcing brand loyalty and increasing visibility in the premium RTD coffee market.

This case study highlights how a well-planned, targeted digital strategy can drive brand awareness and differentiate a product in a crowded market. With its data-driven and consumer-centric approach, POKKA First Drip has established itself as a strong contender in the premium RTD coffee space.

Content
Results
Challenge
Strategy
Execution
Get in touch

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Book a Demo

Accelerating AI Growth: 2.5× GMV Surge for a Gaming Chair Brand

Case Study

Accelerating AI Growth: 2.5× GMV Surge for a Gaming Chair Brand

The Results
0 x
compared to the set benchmark
0 st
gaming chair in Indonesia
0 %
market coverage
The Challenge

A Singapore-based gaming chair manufacturer sought to expand its reach by entering the Indonesian market and entrusted ADA with the tasks to raise awareness and engage with potential customers. To achieve this, we decided to sell the gaming chair on two leading ecommerce platforms, Tokopedia and Shopee. However, the challenge of selling a high-end gaming chair in Indonesia is formidable, given the dominance of more affordable brands and the non-primary utility niche market. Nonetheless, we are determined to succeed by crafting a well-conceived strategy that capitalizes on the market’s potential. With the right approach, this endeavour has the potential to be a game-changing opportunity for our client.

The Strategy
1 Conquering a new market via insights

First, to understand the customers and customer journey, we observed and analysed how brands delivered a competitive advantage in the market previously.

2 Understanding customers’ wants and needs

We gathered feedback and ratings for the products, which gave us an overview of consumers’ sentiments. Then, we refined the products and services to meet our customers’ expectations. Positive reviews and ratings propel the brand’s image and showcase its gaming chairs in the best light possible.

3 Launching promotional campaigns

To promote our gaming chairs, we participated in over 200 brand and platform-initiated campaigns that align with the brand’s product and personality.

The Execution
4 Crafting an effective strategy that drives growth

With data, we crafted a customised on-site niche marketing strategy that optimises growth. Since the brand is selling gaming chairs on two giant eCommerce platforms, we assisted them in observing potential buyers, their preferences, and purchase patterns on each platform.

5 Experimenting with multiple variables

We conducted A/B testing during the campaigns to identify which messaging strategies work best, the best time to drive sales, and the type of promotions that attract customers best.

6 Capturing potential new segments

ADA collaborated and partnered with other brands to capture new segments while considering price discrimination in each region. This approach helped our client to tap into new market opportunities, build a broader customer base, and enhance brand awareness.

Content
Results
Challenge
Strategy
Execution
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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. ​

Content
Results
Challenge
Solution
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ADA used AI and Tech to improve sales forecast, inventory management and marketing strategy for a client

Case Study

ADA used AI and Tech to improve sales forecast, inventory management and marketing strategy for a client

The Results
0 %
Sales forecast accuracy, with error deflection of less than 3.7% in model validation.
Improved sales forecasting leads to better inventory management to meet sales demand
Enhanced marketing campaigns and effectively allocate budgets based on sales forecast
The Execution

A Malaysian subsidiary of the global automotive giant saw an immediate need to solve the challenge of parts inventory management and allocating marketing budgets efficiently based on anticipated sales for each vehicle model per outlet. The current flaw has impacted the sales and marketing departments – hindering campaign performance and potentially missing sales targets.

With ADA’s expertise in data management and predictive modelling, we implemented a data-driven solution by first unifying all sources of data in a Customer Data Platform (CDP), developing a forecasting model and building a dashboard for analysis and monitoring.

The automation has greatly improved sales forecasting accuracy, reduce parts inventory shortage, and ultimately,  empowering the client to invest resources to areas where they can generate the highest impact.

Content
Results
Execution
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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
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 for 80%.

Content
Results
Approach
Execution
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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

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

 

Results
Challenge
Solution
Execution
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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
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.

Content
Results
Challenge
Solution
Get in touch

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We helped a leading ecommerce retailer migrate their existing data warehouse from AWS to MS Azure while ensuring seamless business continuity

We helped a leading ecommerce retailer migrate their existing data warehouse from AWS to MS Azure while ensuring seamless business continuity

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

Our client is a global leader in consumer electronics, home appliances, and mobile communications. One of its subsidiaries, Hi-Care Solutions, specialises in providing maintenance services to customers who have contracted rental services of various LG electronics products, such as air purifiers, water purifiers, and more. Periodic customer management and routine visits are conducted to ensure the seamless operation of all related services following the rental contract agreement.

Recently, a challenge surfaced as several sales representatives unintentionally received bonuses through the contractual process. This has resulted in financial discrepancies and losses for our client.

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

 

Results
Challenge
Solution
Execution
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ADA helped a leading ecommerce brand increase order value and customer retention rate

ADA helped a leading ecommerce brand increase order value and customer retention rate

The Results
0 %
Reduction in the time allocated for the task
Introduced an effective fraud detection approach. All team members involved in this task now consistently rely on the tool for their daily work. 
The Challenge

Our client is a global leader in consumer electronics, home appliances, and mobile communications. One of its subsidiaries, Hi-Care Solutions, specialises in providing maintenance services to customers who have contracted rental services of various LG electronics products, such as air purifiers, water purifiers, and more. Periodic customer management and routine visits are conducted to ensure the seamless operation of all related services following the rental contract agreement.

Recently, a challenge surfaced as several sales representatives unintentionally received bonuses through the contractual process. This has resulted in financial discrepancies and losses for our client.

The Solution

ADA developed a three-phased solution to effectively address the identified challenges.

In the initial phase, ADA aided in the transformation by constructing custom dashboards and transitioning fraud detection from a manual to an automated process. These dashboards were seamlessly integrated with the client’s base system data, utilising the existing detection logic.

Next, the detection logic underwent expansion, addressing complexities and volumes of data processing that were beyond the capabilities of human intervention.

In the final and ongoing phase, ADA introduced specialised artificial intelligence (AI) to enhance fraud detection, leveraging the insights derived from the collected data. This approach ensures a robust and adaptive solution to counteract potentially fraudulent activities.

Following that, the PDCA (Plan – Do – Check – Analyse) cycle was initiated. A series of interviews and workshops were held to optimise the solution. This proactive approach allowed for the rapid collection of feedback, facilitating the continuous improvement of both the detection logic and dashboards. The iterative process ensured that adjustments were made swiftly, leading to an increasingly accurate and effective solution.

The Execution

Upon conducting a thorough review to identify instances of fraud, it became evident that the manual process was too time-consuming and could not efficiently cover all cases. There was a pressing need for automation to effectively detect fraudulent activities within the workplace.

ADA automated the fraud detection process by building specialised dashboards and implementing AI, resulting in a reduction of fraud incidents.

Results
Challenge
Solution
Execution
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How Lotte Rental Achieved 21% Conversion Lift in 3 Months with Customer 360

How Lotte Rental Achieved 21% Conversion Lift in 3 Months with Customer 360

The Results

21% conversion increases | 10 distinct customer personas identified

0 %
conversion increases
0
distinct customer personas identified
The Challenge

Lotte Rental, a leading vehicle rental company in South Korea, had a sales effectiveness problem. Contact centre salespeople had almost no information when customers called, just a phone number and a name. No rental history, no preferences, no context about what the customer might need.

Meanwhile, IoT data from rental vehicles sat unused. Every rental generated driving behaviour data refuelling patterns, locations, driving styles that could have informed customer understanding. But this data was siloed and invisible to sales teams.

The Solution

ADA implemented Treasure Data CDP to build Customer 360 profiles with preferences, usage patterns, and purchase considerations. These profiles integrated directly with the contact centre, giving salespeople real-time customer context during every conversation.

Custom analytics on driving behaviour revealed 10 personas that had been invisible before. The personas enabled dynamic pricing based on driving risk. Within 3 months, conversion rate increased 21%.

Results
Challenge
Solution
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