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How ADA transformed broadcast to product sales with WhatsApp chat commerce for Dr. Dermis

Case Study

How ADA transformed broadcast to product sales with WhatsApp chat commerce for Dr. Dermis

Results

The strategic implementation yielded significant results:

  • Average response time of customer service notably decreased.
  • 80% of customer conversations now occur on the WhatsApp platform, indicating its effectiveness as a preferred channel.
  • Customers enjoy seamless access to the product catalogue, custom recommendations, pricing information, and live-chat assistance, all within a unified platform.
The Challenge

Dr Dermis, a prestigious derma brand under the Bio-essence umbrella, recognized the potential of chat commerce on WhatsApp. They aimed to utilize this widely popular messaging app to enhance revenue generation and customer satisfaction. Leveraging WhatsApp Business, Dr Dermis sought to provide personalized assistance and foster meaningful customer engagements.

Solution

Dr Dermis opted to fully utilize the rich feature set offered by WhatsApp Business. Customers could initiate conversations with a simple “hi” and select their inquiry topic. Automated responses efficiently handled common questions and product inquiries, while more complex queries were routed to a customer service representative.

To elevate the overall customer experience, Dr Dermis established WhatsApp as a central platform for online interactions. An integrated automated chatbot provided customers with a menu to address their needs. This chatbot also acted as a knowledgeable consultant, gathering information on the customer’s skin type and offering tailored product suggestions. Customers received detailed product descriptions and pricing information, with the option to purchase directly or speak to a beauty consultant. Additionally, the chatbot served as a valuable resource for FAQs, providing instant access to relevant information.

Content
Results
Challenge
Solution
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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
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Click-through rate (CTR)
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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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Driving SKU-Level ROI Transparency on TikTok

Case Study

Driving SKU-Level ROI Transparency on TikTok

The Results
  • Real-time SKU-level ROI visibility on TikTok

The brand was able to measure their TikTok campaigns accurately and drove a 24% higher ROAS compared to their historical digital media average. Our data showed that this lift was directly tied to their ability to quickly scale promotions on high-margin SKU items, while simultaneously pulling back on underperforming items.

  • Faster, sharper decisions on promotions, affiliates, and livestream spend

By cutting unprofitable spend in real-time and doubling down on winners, our client was able to decrease their cost per acquisition (CPA) by 27% on their promotional campaigns

  • Ability to scale profitably, doubling down on winners and cutting under performers

With the ability to identify profitable SKUs instantly, the brand saw an increase in their overall campaign ROAS by 4x within the first 60 days by prioritising SKUs with the highest margins and stopping spend on underperformers.

  • Shifted decision-making from gut feel → data-backed clarity

Our solution delivered a 441% increase in conversion rate and a 51% increase in click-through rate by enabling the brand to optimise ad creative for its most profitable products

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Achieved vs. historical digital media average by scaling high-margin SKUs and pulling back on under performers.
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Reduced cost per acquisition on promotional campaigns by cutting unprofitable spend in real-time and reinvesting in winners.
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Grew campaign efficiency by prioritising profitable SKUs and stopping spend on low performers in 60 days.
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Boosted performance by optimising ad creatives around the brand’s most profitable products.
The Challenge

A leading CPG brand sought to scale aggressively on TikTok, but the platform’s layered costs (livestream, affiliate, platform fees, marketing subsidies) made it nearly impossible to understand ROI at the SKU level. We built a cost attribution and ROI engine that delivered real-time SKU-level profitability insights, enabling business leaders to make faster, sharper growth decisions.

For CPG businesses looking to expand, ignoring the power of TikTok is no longer an option. The platform has exploded to over 1 billion monthly active users, and its audience is more diverse than ever. While Gen Z remains a core demographic, over 40% of users are now 30 or older. This shift is particularly important for brands in the APAC region, where a recent case study reveals that 7 out of 10 CPG decision-makers for top categories like skincare, haircare, and makeup are on TikTok.

TikTok offers scale but brings hidden costs that blur true profitability:

  • Platform Costs: transaction fees, service charges, commissions
  • Livestream Costs: host fees, crew/production, in-show discounts
  • Affiliate Costs: creator/partner commissions (variable per SKU)
  • Marketing Costs: ads, vouchers, discount subsidies, free shipping subsidies
  • Operational Costs: warehousing, picking/packing, logistics, fulfilment

Two issues compounded the problem:

  1. Not all costs apply to every SKU, e.g., affiliates vs. livestream-driven SKUs.
  1. Data was fragmented across finance, marketing, and ops teams.

Result: leaders lacked real-time SKU profitability, slowing decisions and increasing risk of unprofitable growth.

Key Outcomes:

  • Full transparency of costs across TikTok activities
  • Real-time SKU-level ROI dashboards
  • Faster, data-driven decisions on promotions, affiliates, and livestreams
  • A foundation for cross-platform and predictive ROI expansion
The Solution

We designed a transparent cost attribution & ROI engine that:

  • Centralized all cost inputs across TikTok.
  • Applied precise attribution rules so costs flowed only to relevant SKUs.
  • Delivered a live SKU-level ROI dashboard for instant profitability tracking.

Now, leaders could act on SKU performance in real time, no waiting for reconciliations.

Implementation Journey

  • Mapped all cost layers across livestream, affiliate, and promotions.
  • Defined attribution rules to separate shared vs. SKU-specific costs.
  • Rolled out live dashboards for leadership and ops teams.
  • Built cross-team trust by aligning finance, marketing, and commercial.

By building transparent cost attribution and live SKU-level ROI tracking, the brand transformed TikTok’s complexity into a competitive advantage, powering fast, profitable growth.

“For the first time, we can see ROI at the SKU level in real time. It’s a game-changer for how we allocate spend and manage TikTok growth.”
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ADA implemented Price Intelligence for a Fortune 500 baby milk player to drive 178% ROI and Cut Discounts by 30%

ADA implemented Price Intelligence for a Fortune 500 baby milk player to drive 178% ROI and Cut Discounts by 30%

The Results
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‍Project ROI
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Reduction all discount schemes > budget savings
The Challenge

A Fortune 500 baby milk brand had fallen into a deep discounting spiral on its ecommerce channels, running frequent, uncoordinated promotions that eroded margins and conditioned customers to only buy on sale. With no central price strategy or tracking, profitability was shrinking, and the cycle showed no signs of stopping.

  • 2M+ ecommerce orders, fragmented data
  • Heavy reliance on discounts
  • No centralised pricing view
  • Customers conditioned to wait for sales
  • Disconnected pricing decisions across teams
The Solution
  • We automated ingestion and unification of all e-commerce data via ADA’s Intelligent Commerce Data Accelerator
  • We’ve built custom SKU-level price elasticity models to identify optimal pricing strategies per product
  • We created live trackers and performance dashboards embedded into client workflows to monitor price changes vs targets
  • Consulting-led activation to align teams, apply insights, and sustain pricing discipline for long-term ROI
The Execution

Our AI-powered platform provides a holistic solution for managing and optimising pricing strategies, as demonstrated by our partnership with a leading baby milk brand. Here’s how our system works in practice to drive profitability and end the cycle of deep discounting.

1. Data Ingestion & Centralisation

The project began by addressing the brand’s core challenge: fragmented data. Our solution, the Intelligent Commerce Data Accelerator, automated the ingestion and unification of over 2 million e-commerce orders. This crucial first step brought all of the brand’s dispersed data that sits across various channels and countries into a single, unified platform. This ended the disconnected decision-making across teams and established a clear, central view of all pricing and sales activities.

2. AI Analysis & Predictive Modelling

With the data consolidated, our AI engine went to work. We built custom SKU-level price elasticity models to analyse the historical data on product demand and customer behaviour. This allowed us to understand exactly how price changes would affect sales volume for each product. By identifying the optimal pricing strategy for every SKU, we provided the brand with predictive insights, moving them away from an intuition-based, reactionary approach to a data-driven one.

3. Real-Time Action & Sustained Discipline

The final step was translating these insights into sustained business impact. We created live trackers and performance dashboards that were integrated directly into the client’s daily workflows. These dashboards enabled the brand to monitor price changes against targeted outcomes in real time. Through a consulting-led activation process, we ensured teams were aligned on the new strategy and maintained pricing discipline.

Results
Challenge
Solution
Execution
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How a Korean Beauty Brand Exceeded Targets in Month One of SEA Launch 

Industry type

How a Korean Beauty Brand Exceeded Targets in Month One of SEA Launch 

The Results

Targets Exceeded Month 1 | 148 KOL Engagements | Multi-Market Launch 

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of sales target achieved
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KOL Engagements
The Challenge

A premium Korean beauty brand was entering Southeast Asia with zero existing presence, no brand awareness, no customer base, no operational infrastructure. The launch strategy centred on TikTok Shop and social commerce, but the brand had no KOL relationships in SEA, no understanding of local content preferences, and no foundation for managing social commerce at scale.

Everything needed to happen simultaneously: brand introduction, awareness building, operational setup, creator partnerships, and sales execution across multiple markets including Taiwan.

The Solution

ADA executed complete market entry from zero. Strategic partnerships and localized campaigns introduced the brand to SEA consumers. Store layout, design, and promotion execution established the brand’s presence on TikTok Shop with premium positioning.

The KOL strategy delivered 148 creator engagements, each selected for audience fit and content authenticity. Tools optimization and campaign submission built in-platform algorithm advantage from day one. The brand didn’t just launch, it launched with momentum, over-achieving targets in the first month.

 

Results
Challenge
Solution
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How a Global Snacks Company Gained Cross-Channel Visibility into Brand Performance 

How a Global Snacks Company Gained Cross-Channel Visibility into Brand Performance 

The Results
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GMV growth
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efficiency gain
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platforms unified into single dashboard
The Challenge

A global snacking company was operating across Shopee, Lazada, TikTok Shop, and Amazon with no unified view of brand performance. Each platform had its own analytics, its own metric definitions, and its own reporting format. When leadership asked “how is the brand performing?”, the answer required manual consolidation across platforms and days of analyst time.

Marketing assets ran across marketplaces with no systematic way to understand which creative was driving performance on which platform. The company was investing in marketing without the visibility to optimise spend.

The Solution

ADA deployed Intelligent Commerce for unified visibility across all platforms. The solution consolidated data from Shopee, Lazada, TikTok Shop, and Amazon into one dashboard with consistent metrics.

P&L forecasting that took 60 minutes became a 1-minute query, 98% efficiency gain. Cross-platform brand performance analytics showed what was happening across the portfolio. AI-powered creative automation scaled content production, and marketing ROI visibility was finally enabled.

 

Results
Challenge
Solution
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How a Leading Personal Care Brand Achieved 80% GMV growth through Coordinated Commerce Operations 

Industry type

How a Leading Personal Care Brand Achieved 80% GMV growth through Coordinated Commerce Operations 

Where every touchpoint earns trust, every interaction creates value, and every decision is powered by realtime insight.
The Results
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GMV growth
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conversion rate uplift
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ATP rate maintained
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Product rating maintened
The Challenge

A leading personal care brand in Malaysia needed to professionalise marketplace operations and drive sustained post-COVID growth across Shopee and Lazada. Campaign planning was inconsistent, assortment strategies were unclear, and inventory management issues were impacting product availability, costing sales during peak periods. The brand lacked the operational cadence and platform expertise to compete effectively on the digital shelf.

The Solution

ADA implemented comprehensive marketplace operations over a 2-year partnership. Weekly campaign planning catch-ups established operational rhythm. Clear assortment strategies aligned inventory with campaign timing. Robust inventory management maintained 95% ATP (Available to Promise) rate.

Monthly business reviews and campaign post-mortems drove continuous optimization. 100% store tool optimization, including CEM measures, improved platform visibility and algorithm performance.

Results
Challenge
Solution
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How PepsiCo Built AI-ready Data for Manufacturing Intelligence 

Solution type

How PepsiCo Built AI-ready Data for Manufacturing Intelligence 

Where every touchpoint earns trust, every interaction creates value, and every decision is powered by realtime insight.
The Results

60% Batch Deviation Addressed | 6% Efficiency Improvement

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Batch Deviation Addressed
The Challenge

PepsiCo’s Patiala plant had a measurable problem: steam utilization in potato chip production was running at 1.08-1.12 KG/KG against a target of 1.02 KG/KG. That gap meant higher fuel costs, increased operational spend, and difficulty meeting sustainability targets. But the root cause wasn’t visible. Sensor data, SCADA logs, and operational records sat in separate systems. 60% of batches were deviating from target, and the plant had no way to connect operational patterns to efficiency outcomes.

The Solution

ADA delivered a phased implementation. Phase 1 built plant monitoring dashboards with alerts, giving operators visibility into equipment performance. Phase 2 explored Generative AI applications based on available data. Phase 3 deployed AI/ML models for predictive and prescriptive insights. The approach built AI-ready data foundations first, then layered intelligence on top.

Results
Challenge
Solution
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