Skip to main content

Blog Archives

Older posts

Driving 32X ROAS: ADA’s Zero-Risk Acquisition Model Success with Matahari

Case Study

Driving 32X ROAS: ADA’s Zero-Risk Acquisition Model Success with Matahari

Get a Demo
Segment

Retail

The Results

0 %
Monthly Transaction Growth Within First 3 Months
0 x
Monthly Repeated Transaction
0 x
Return on Ad Spend
0 x
Average Basket Value Compared to Historical Campaign

The Challenge

Matahari, Indonesia’s largest retail platform, has been a cornerstone of the retail industry since 1958. As a well-established brand, Matahari has continuously adapted to the changing landscape of commerce, particularly in the digital age. The latest campaign aimed to enhance in-app first-time and repeat transactions among both new and existing users. This ambitious objective was crucial for maintaining their market leadership and ensuring sustained growth in an increasingly competitive environment.

ADA achieved +68% month-on-month transaction growth, maintained high customer retention rates, tripled average basket values, and achieved a 32X return on ad spend (ROAS) compared to previous campaigns. Through strategic cost optimization and effective Conversion Rate Optimization (CRO), ADA showcased its ability to deliver substantial ROI in a competitive market.

The Strategy

We employed advanced analytics and machine learning algorithms to better understand consumer behavior and optimize targeting strategies. These technologies enabled the campaign to identify high-potential customer segments and tailor marketing messages to their specific needs and preferences. Additionally, the use of dynamic pricing and personalized promotions helped attract and retain customers by offering them the best possible deals.

To ensure higher relevance and conversion potential, the campaign targeted users interested in retail shopping, bargain hunting, and family-oriented activities. Additionally, an extensive inclusion strategy was employed by overlaying GAIDs (Google Advertising IDs) and IDFAs (Identifier for Advertisers) of existing customers with ADA’s XACT, a data management platform, to refine the targeting accuracy.

Awards

  • Gold in Excellence Marketing to Specific Audience at Marketing Excellence Awards 2023
  • Gold in Excellence in Mobile Marketing at Marketing Excellence Awards 2023
  • Silver in Best in Mobile Campaign for a Specific Audience at Mob-Ex Awards 2023
Table Of Contents
The Results
The Challenge
The Strategy
Awards

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 helped a leading ecommerce brand enhance efficiency and decision-making through data automation

Case Study

We helped a leading ecommerce brand enhance efficiency and decision-making through data automation

Get a Demo
Segment

Retail

The Results

≥ 0 %
Reduction in analyst time consumption
≥ Efficiency
Improve data accuracy, faster decision making

The Challenge

The client faced a challenge of synthesizing sales data from multiple channels without a centralized source, complicating real-time access to key performance indicators such as revenue, orders, and click data, and necessitating frequent manual calculations for reporting to management.

The client’s reporting ecosystem was hindered by a lack of data centralization, creating a significant lag between data generation and executive insight.

  • Data Silos: Sales, revenue, and engagement data (clicks/orders) were scattered across multiple unlinked channels.
  • Lack of Real-Time Visibility: High-level KPIs were inaccessible in real-time, preventing agile decision-making.
  • High Manual Overhead: Analysts were burdened with frequent manual calculations and spreadsheet consolidation to produce management reports, increasing the risk of human error.

The Strategy

ADA engineered a centralized, automated system to replace manual workflows with a robust data “single source of truth.”

  • Unified Pipeline: Developed a custom architecture to ingest disparate sales and customer interaction data into one streamlined flow.
  • Advanced Processing: Utilized Python for data preparation and refinement, transforming raw inputs into high-clarity, analysis-ready datasets.
  • Orchestrated Reporting: Implemented server-based scripts to schedule and push reports automatically, ensuring management received updates without manual intervention.
  • Quality Governance: Integrated real-time verification protocols to audit data accuracy and maintain reporting integrity.
Table Of Contents
The Results
The Challenge
The Strategy

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 empowered a leading retail group to drive revenue growth with advanced data analytics dashboards

Case Study

We empowered a leading retail group to drive revenue growth with advanced data analytics dashboards

Get a Demo
Segment

Retail

The Results

0 %
Revenue Increase at organizational level by enabling CXOs to access critical data
0 %
Reduction in Monthly Man Hour Investment by shifting from manual reporting to advanced dashboards

The Challenge

TMRW, a dynamic venture backed by the prestigious Aditya Birla Group, is poised to revolutionize India’s fashion and lifestyle landscape. With a visionary approach, TMRW is on a mission to construct the nation’s premier House of Brands, setting the stage for unparalleled growth in the direct-to-consumer (D2C) sector across India.

Our client’s leadership faced a pressing challenge: a lack of visibility into business performance and key metrics due to unorganized data. This deficiency not only inhibited their ability to measure profitability accurately, particularly CM2, but also undermined investor confidence, as CM2 tracking is a key investor initiative. Urgent action was needed to implement a solution that enabled real-time data tracking and informed decision-making to ensure profitability and investor satisfaction.

The Execution

By leveraging the capabilities of the BI tool Metabase, we have successfully developed a robust CXO Dashboard designed to provide comprehensive insights into key performance indicators (KPIs).

This dashboard meticulously covers essential metrics such as Gross Merchandise Value (GMV), Net Sales Value (NSV), Gross Margin, Seller Expenses, Contribution Margin 1 (CM1), Marketing Spends, and Contribution Margin 2 (CM2) at various levels including brand, platform, category, and style.

The implementation of this dashboard has proven instrumental in enabling users to monitor the impact of even minor experiments and adjustments in real-time, thereby enhancing the understanding of profitability dynamics for the brand.

By resolving this critical issue, stakeholders are now empowered to extract actionable insights and make informed decisions based on the wealth of data at their disposal. This sophisticated solution represents a significant advancement in client’s analytical capabilities, fostering a more agile and data-driven approach to decision-making within their organization.

Table Of Contents
The Results
The Challenge
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

ADA revolutionizes digital growth for a Philippines nutrition brand with integrated campaign

Case Study

ADA revolutionizes digital growth for a Philippines nutrition brand with integrated campaign

Get a Demo
Segment

Retail

The Results

  • FB / CPAS ROAS outpaced competing eTailer platforms by 43%
  • Performance of Super Brand Day (SBD) excelled, delivering 10x growth with up to 45% contribution from new buyers
  • Drove Campaign-On-Campaign improvements by 161%
  • Achieved over 100% growth for their key brands
  • Promil and Promama stores experienced 125% year-over-year (YoY) growth
  • Followers increased by 35%
  • New orders grew by 1.4x
0 %
growth for their key brands
0 %
contribution from new buyers
0 x
on Super Brand Day

The Strategy

In response to the profound shifts brought on by the pandemic, ADA partnered with a leading nutrition brand in the Philippines to navigate the challenges posed by retail closures and the subsequent surge in online shopping. The goal was to seamlessly transition offline customers to the brand’s digital platforms while ensuring an enhanced level of convenience and customer satisfaction.

The Approach

ADA’s approach involved in-depth market analysis, leveraging industry best practices to optimize the customer experience, and deploying sophisticated customer engagement tools to identify opportunities. This was complemented by strategic media efforts, always-on thematic campaigns, and innovative pilot initiatives on platforms like Shopee. Additionally, the brand’s integration into Shopee’s supermarket and synergies with the ParenTeam Rewards program further expanded its reach.

Table Of Contents
The Results
The Strategy
The Approach

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 enabled a leading global retailer to increase revenue through improved targeting and personalisation

Case Study

We enabled a leading global retailer to increase revenue through improved targeting and personalisation

Get a Demo
Segment

Retail

The Results

0 %
Increase in Revenue
0 %
Campaign CTR Increase

The Challenge

The client faced a challenge with outdated predictive models for customer spending, leading to suboptimal conversion rates and missed revenue opportunities. Additionally, inefficient customer segmentation hindered targeted marketing efforts.

The Solution

ADA helped to enhance its marketing strategies by integrating a sophisticated Purchase Propensity Classification Model, employing Naive Bayes algorithms for predictive analytics, with Salesforce, to streamline and personalize its marketing efforts, significantly sharpening customer targeting and campaign efficacy.

The new strategic adoption of advanced machine learning techniques and CRM integration proved essential in capturing market share and driving growth through improved customer insights and targeted communication.

The implementation of a predictive analytics model and CRM system integration resulted in a substantial increase in marketing efficiency, highlighted by a 50% rise in click-through rates and a 0.8% increase in revenue.

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

We helped a leading retail brand bolster revenue with advanced predictive analytics and CRM integration

Case Study

We helped a leading retail brand bolster revenue with advanced predictive analytics and CRM integration

Get a Demo
Segment

Retail

The Results

0 %
Increase in Revenue
0 %
Increase in Click through rates (CTR)

The Challenge

The client faced a challenge with outdated predictive models for customer spending, leading to suboptimal conversion rates and missed revenue opportunities. Additionally, inefficient customer segmentation hindered targeted marketing efforts.

The Solution

ADA helped enhance its marketing strategies by integrating a sophisticated Purchase Propensity Classification Model, employing Naive Bayes algorithms for predictive analytics, with Salesforce to streamline and personalise its marketing efforts. This significantly sharpened customer targeting and improved campaign effectiveness.

The strategic adoption of advanced machine learning techniques and CRM integration proved essential in capturing market share and driving growth through deeper customer insights and more targeted communication.

The implementation of the predictive analytics model and CRM integration resulted in a substantial increase in marketing efficiency, highlighted by a 50% rise in click-through rates and a 0.8% increase in revenue.

Table Of Contents
The Results
The Challenge
The Solution

Explore More Resources on Personalized Marketing

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 helped a leading retail brand grow revenue and increase customer retention by implementing a ML-driven Customer Lifetime Value model

Case Study

We helped a leading retail brand grow revenue and increase customer retention by implementing a ML-driven Customer Lifetime Value model

Get a Demo
Segment

Retail

The Results

0 %
Reduction in Churn Rate
0 %
Increase in Customer Retention
0 %
Growth in Revenue

The Challenge

The client faced a challenge with the lack of predictive insights into customer spending, leading to uncertainties in strategic decisions, and inefficient customer segmentation, causing suboptimal retention strategies and marketing inefficiencies.

The Solution

ADA implemented a machine learning-driven Customer Lifetime Value (CLV) model to accurately forecast customer spending and churn. Combined with Salesforce integration, the solution enhanced targeted marketing efforts and enabled data-driven decision-making, significantly improving customer retention and sales performance.

The new model delivered an 8% reduction in churn rates, a 20% increase in revenue from CLV-based marketing campaigns, and a 17% improvement in customer retention through personalised incentives.

Table Of Contents
The Results
The Challenge
The Solution

Explore More Resources on Personalized Marketing

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

ADA helped leading ecommerce brand enhance profitability and cashflow through improved inventory liquidation process

Case Study

ADA helped leading ecommerce brand enhance profitability and cashflow through improved inventory liquidation process

Get a Demo
Segment

Retail

The Results

0
crores
Clearance of excess inventory in 2 months
0 %
Maintain Contribution Margin

The Challenge

The customer is a leading player in the kidswear e-commerce sector, focused on optimising its inventory liquidation strategy to improve cash flow while maintaining healthy profit margins.

The client faced significant challenges with its monthly financial reporting due to time-consuming manual data verification in Microsoft Dynamics 365 (D365) and the absence of a unified source of financial data. These manual processes required more than 40 hours each month and led to delays in regulatory reporting, resulting in compliance issues and financial penalties.

The Solution

ADA developed a data-driven inventory liquidation system powered by price elasticity modelling. The solution combined factor mapping, automated data extraction, and hypothesis testing to identify optimal discounting strategies that maximised inventory sell-through while protecting profitability.

The new approach enabled the client to clear excess inventory worth ₹15 crore within two months while maintaining a 10% contribution margin on liquidated products.

Table Of Contents
The Results
The Challenge
The Solution

Explore More Resources on Personalized Marketing

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 enabled a leading ecommerce player in beauty & personal care category to boost conversion rates and drive revenue

Case Study

We enabled a leading ecommerce player in beauty & personal care category to boost conversion rates and drive revenue

Get a Demo
Segment

Retail

The Results

0 %
Increased Conversion Rates
0 %
Reduced Market Spend

The Challenge

The client is a leading online marketplace specialising in Beauty and Personal Care (BPC), serving a customer base of more than 35 million shoppers. The company sought to enhance the customer shopping experience and improve conversion rates through highly targeted, data-driven marketing strategies.

To improve marketing efficiency, the client aimed to reduce campaign expenditure while increasing conversions in the highly competitive BPC market. They identified advanced customer segmentation and Recency, Frequency, Monetary (RFM) analysis as key capabilities for identifying high-value audiences, delivering more relevant campaigns, and maximising marketing return on investment.

The Solution

1 ADA’s leveraged segmentation techniques combined with RFM to effectively target buyers Discovery

  • Discovery: Conducted a comprehensive evaluation of existing customer segments to identify opportunities for improved targeting and campaign effectiveness.

2 Segmentation Algorithm

  • Redefined customer segmentation using the Recency, Frequency, and Monetary (RFM) framework.
  • Applied multiple clustering algorithms to identify and create four distinct, data-driven customer segments.

3 Cluster-based Offer

  • Designed personalised offers and promotions for each customer segment based on their unique purchasing behaviour, preferences, and value characteristics.
Customer segmentation and personalised offer strategy
Table Of Contents
The Results
The Challenge
The Solution

Explore More Resources on Personalized Marketing

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 helped a leading retail brand reduce cart abandonment and improve business performance

Case Study

We helped a leading retail brand reduce cart abandonment and improve business performance

Get a Demo
Segment

Retail

The Results

0 %
Decrease in Cart Abandonment Rate
Efficiency
Improved login process and optimized delivery lead time

The Challenge

The client was experiencing a high cart abandonment rate that resulted in an estimated USD 2 million in lost revenue and negatively impacted overall conversion performance. Customers were dropping off at multiple stages of the checkout journey, indicating friction in key areas such as login, delivery selection, and pricing transparency.

Limited visibility into user behaviour made it difficult to identify where and why customers were abandoning their carts. At the same time, increasing competition meant that even minor checkout inefficiencies could drive customers to alternative platforms.

The client required a data-driven approach to identify checkout bottlenecks, optimise the purchase journey, and reduce cart abandonment while maintaining healthy margins without relying on excessive discounting.

The Execution

The client faced a high cart abandonment rate, resulting in an estimated USD 2 million in lost revenue and a reduced conversion rate. These challenges highlighted the need for a strategic, data-driven approach to improve the checkout experience.

ADA analysed the end-to-end checkout journey to better understand customer behaviour and identify the critical stages where users abandoned their carts. This analysis provided clear insights into the primary friction points affecting conversions.

We conducted hypothesis testing and experimentation to evaluate strategies for reducing cart abandonment, including optimising delivery charges, offering targeted discounts, and engaging customers with timely, personalised communications.

The resulting improvements streamlined the login process, reduced delivery lead times, enhanced the overall checkout experience, and significantly lowered cart abandonment rates.

Table Of Contents
The Results
The Challenge
The Execution

Explore More Resources on Personalized Marketing

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
Older posts