Multinational Conglomerate Drives Personalized Omnichannel

Case Study

Multinational Conglomerate Drives Personalized Omnichannel

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Product Used

ADA Global Personalization Suite:

The Results

0 %

lift in cross-brand communications

0 %

reduction in marketing investments

4-5 %

incremental revenue

0 %

reduction in churn

The Client

The client is a multinational conglomerate that operates across 40 countries, driving over 30 businesses and 300 brands. They are the master franchise for some of the leading international brands in retail, food & beverage, automotive, engineering, credit, etc.

The Challenge

The scale and complexity of business with multiple brands and multi-country operations meant managing customer data and creating a single source of truth was a challenge. As a result, marketing decisions were more gut-based and shallow analytics-driven. With ADA Global, they aimed to:

Centralize their customer data and create Golden Customer Records to understand customer behavioral patterns, ensure better segmentation, and improve data analysis
Remove the dependency of running SQL queries to draw basic insights and build models
Delivered personalized, contextual messages through SMS, email, app push notifications, and other channels to improve conversion rates and lifetime value of customers

Unify Your Customer Data to Drive Personalized Multichannel Marketing and Customer Engagement

Real-time Customer Profiles

Use ADA Global CDP to capture behavioral data in real-time for both known and anonymous customers. Create dynamic segments for activation at scale.

Predictive Customer Analytics

Leverage actionable algorithms to create granular micro-segments. Perform look-alike and propensity analyses to drive next-best actions, and measure response with campaign and journey analytics.

Omnichannel Marketing Campaigns

Leverage machine learning algorithms, advanced analytics, and micro-segmentation tools to automatically orchestrate, test, and optimize personalized campaigns across the entire customer journey.

Personalized Customer Engagement

Leverage data to send the right promotions and content to shoppers, at an individual level. Auto-optimize and eliminate tedious manual A/B tests.

Content

The Results

The Client

The Challenge

Unify Your Customer Data to Drive Personalized Multichannel Marketing and Customer Engagement

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Want to learn more about ADA Global’s Customer Data Management and Personalized Outbound Marketing capabilities?

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Top Brands Trust Algonomy

Cashing in on Bundles – How eCommerce Retailers Can Drive Revenue Growth with Strategic Product Bundles

Case Study

Cashing in on Bundles – How eCommerce Retailers Can Drive Revenue Growth with Strategic Product Bundles

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Segment

Specialty – Health & Beauty
Specialty – Books & CDs
B2B – Office Supplies

Objective

Grow sales by increasing Items Per Order (IPO) and Average Order Value (AOV) with product bundles.

Product Used

Recommend

Business Value Delivered

0 %

Click-Through Rate

0 %

Items per Thousand Views

0 %

Revenue per Thousand Views

The Overview

Product bundles may not be a novel concept, but they have evolved significantly over time and have proved to be versatile—finding applications across sectors such as fashion, bookstores, tech, beauty, travel, and many more. They present a strategic avenue to increase the number of items a customer adds to their cart, which translates to a higher order value.

When adopting product bundling on your product detail page (PDP), it’s imperative to carefully consider product selection for the bundle, the bundle’s composition, and the steps involved in the implementation process – each a vital contributor to the pursuit of elevated AOV.

Bundle Products: Essential questions include – Which products to bundle? Can the process be fully automated? Do they require compatibility checks? Does it require merchandising? What form of shopper affinity do you aim to drive?
Bundle Composition and Layout: How many products should the bundle include? Should the consumer have the option to customize the bundle? Should the bundle display separate groups with alternatives?
Implementation: Will your in-house developers or third-party integrators develop the bundles on the PDP? Either approach involves backend development to ensure product bundles can be added to the cart, along with front-end development for displaying the bundles in potentially editable, appealing formats.

With Ada Global Recommend™, it’s possible to create and manage comprehensive, effective, and personalized product bundles, simplifying the entire process and ensuring optimized results.

Advanced Algorithms for Product Bundling

Over the years, we have developed algorithms and functionalities that offer customers much more than the conventional ‘Frequently Bought Together’ bundling. Depending on specific business needs, there are several options to choose from for generating optimal product bundles.

Configurable Strategies

Ada Global’s Configurable Strategies allows non-technical users to design their algorithm or strategy by selecting from pre-built models and customization options. This flexibility ensures precise creation of product bundles. This functionality provides the ability to select the AI model to generate the bundle products, apply desired shopper affinity, and adhere to any additional merchandising requirements like restrictions, boosting, etc.

Advanced Merchandising

Ada Global’s Advanced Merchandising utilizes catalog product attributes, enabling merchants to design a personalized shopping experience with their desired level of control. It offers enhanced control over the bundling process for a more tailored outcome.

This includes determining the exact number of products from a certain category, 1WorldSync (formerly CNET) compatibility for the electronics vertical, custom compatibility mapping that enables clients to use their own compatibility mappings to pair compatible products, and creating bundle groups that allow the presentation of alternatives.

Data Science Workbench

Our platform also provides Data Science Workbench, a tool that allows for the creation of custom product recommendation strategies.

For instance, by using the tool, businesses can integrate any external data—such as proprietary complementary data e.g. “complete the look” information or data to rank recommendations on e.g. offline sales—with existing behavioral information and tailor their product bundles just the way they want, based on any shopper affinity.

Bundle Composition, Layout, and Implementation

Ada Global-powered bundles ensure the most relevant bundled products for the shopper by applying personalization. However, keeping the principle of ‘the client is king’ paramount, one can choose for the bundles to be “editable” by providing selected alternatives for groups of products.

Alternatively, consumers can be given the power to “build their own bundle” from the suggested products – the level of customization rests in your control.

Changes or additions to your PDP usually require significant development effort, resources, and time. With the addition of innovative functionalities like Ada Global’s Dynamic Experiences, this burden is lifted. Entire bundles can be designed, created, and added to your site directly from the Ada Global portal, reducing the operational demands on your team.

In summary, Ada Global’s multifaceted solution streamlines the process of creating and managing product bundles, ensuring relevant product recommendations, boosting customer engagement, and ultimately driving sales as the use cases below illustrate.

The Use Case

1 Use Case 1 – Small Change, BIG Impact

Our client, an established player in the bookstore vertical, had been utilizing a basic “Frequently Bought Together” bundle configuration based on a legacy “out of the box” algorithm. Looking to increase their Average Order Value (AOV), they turned their focus on enhancing their bundle setup.

Instead of immediately delving into the complexities of bundle composition and layout, which would necessitate changes in the implementation component, they decided to start out with refining the bundle algorithm.

A new configurable strategy was created focusing on an “Author” targeted algorithm, coupled with shopper affinity. The model chosen for this strategy was the Attribute Best Seller model, with the Author name selected as the attribute to seed off.

In addition, a dedicated affinity configuration was applied with weight given to the category and publisher attributes, ensuring that the bundle shows the most relevant books of the same author based on the shopper’s affinity with publishers and categories viewed and purchased in the past.

The impact of this minor tweak was instant and significant. As illustrated in the chart below, there was a noteworthy increase in their Key Performance Indicators (KPIs) for their bundle performance:

Click-Through Rate (CTR) saw an impressive lift of 76%.
Items per Thousand Views (IPVm) increased by 40%.
Revenue per Thousand Views (RPVm) spiked by 16%.

This case demonstrates how adjusting one aspect of the bundling configuration, in this case refining the bundle algorithm, can significantly drive critical success metrics. Ada Global’s dynamic solutions provided the agility and responsiveness to achieve these outcomes.

2 Use Case 2 – The Power of Compatibility

In tech-related verticals, compatibility between the main product and accessory items is crucial. Our client from the office supplies vertical recognized this and utilized their external data to guarantee compatibility between printers and their associated ink and toners.

With the primary goal of increasing sales, they successfully implemented ‘automatic’ bundles on most categories using Ada Global’s out-of-the-box cross-sell and upsell algorithms. This meant simply utilizing strategies already enabled for their PDP and having Ada Global determine automatically which strategy to play where and when to obtain the best products to recommend in the bundles.

However, when it came to the Printer category, custom solutions were required in order to ensure only compatible cartridges were presented in the bundles.

Using Ada Global’s Data Science Workbench, the client could construct custom algorithms based on their external data. The data uploaded to Ada Global, consisting of lists of compatible product IDs, helped create cross-sell and upsell algorithms.

This approach guarantees that the suggested bundles for printers consist only of compatible ink and toner sets and, at the same time, allows presenting shoppers with bundles of ink cartridges of different colors or yield capacities.

Compared to the regular cross-sell recommendations on these Printer category pages, the results of the compatible bundles were astonishing:

CTR is 200% higher on the bundles, more than doubling the regular cross-sell compatible recommendations.
Items per Thousand Views (IPVm) from the bundles is 162% greater.
Most impressively, Revenue per Thousand Views (RPVm) is 400% higher, quadrupling the revenue from bundles compared to the regular cross-sell compatible recommendations.

This case demonstrates the immense potential of Ada Global’s customizable solution when it comes to creating unique bundle strategies, by capitalizing on data and ensuring compatibility.

3 Use Case 3 – Effortless Bundle Implementation and Testing Through Ada Global Portal

Our customer in the health and beauty sector wished to implement product bundles but felt challenged due to resource constraints for backend and front-end development.

They required a solution that allowed them to:

Create bundles with the look and feel of their Product Description Pages (PDPs)
Restrict the bundle offerings to certain categories
Test bundle performance against a non-bundle PDP variant

Ada Global’s Dynamic Experiences functionality proved to be a game-changer. It helped the client set up bundles independently, fitting their unique requirements and constraints. For any additional technical skills, our consultants provided the necessary support for fine-tuning layouts or incorporating custom JavaScript, all done seamlessly via the portal.

The Multivariate Test (MVT) capability, intrinsic to Ada Global’s Dynamic Experiences, simplified the process of setting up a control experiment. The client easily configured a 50/50 test to compare the performance of bundle placements versus pages without bundles.

The metrics from their test surpassed expectations, with an impressive lift in Revenue per Visit (RPV) and Average Order Value (AOV) by 8.42% and 8.24% respectively, showcasing statistically significant results with 99% confidence levels.

The Conclusion

This use case underscores Ada Global’s ability to facilitate bundle implementations even when resource and development constraints exist. It stresses the flexibility and independence our portal provides, allowing clients to execute and test their unique merchandising strategies simply and confidently.

Lastly, it underscores the potential for impressive revenue growth and an increase in order averages with the implementation of thoughtful and well-executed bundling strategies, proving how Ada Global’s Recommend™ can enhance the client’s eCommerce ecosystem.

Content

The Results

The Overview

Advanced Algorithms for Product Bundling

Bundle Composition, Layout, and Implementation

Use Cases

The Conclusion

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“Our previous manual bundle solution was not scalable or sustainable long-term. Ada Global helped implement automated product bundles, leading to a jump from 4% to 80% product coverage, minimising internal maintenance effort and allowing a focus shift to optimisation. We’re really encouraged by the initial results and look forward to building on this together with Ada Global.”

Senior Manager of Conversion Rate Optimisation & Tooling

“The feature is easy to set up and it’s great that it can be tailored to what it is we require, especially when we only want it to show on specific categories!.”

Digital Merchandising Executive

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Wine.com Drives AttributeBased Recommendations for Personalization

Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %

Reduction in out-of-stock across stores

0 %

increase in revenue

400+ retailers & brands across the world trust Ada Global to consistently deliver on their commerce KPIs

Middle Eastern Grocery Retailer Projects $60M Inventory Savings

Case Study

Middle Eastern Grocery Retailer Projects $60M Inventory Savings

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Segment

Grocery

Challenge

Achieve inventory reduction by 20% while maintaining availability above 90%

Product Used

Order Right

The Results

0 $

Reduction in inventory cost across 3 departments for the flagship store

0 M

$ Projected savings in inventory costs across 300+ stores

0 %

Reduction in and out stock instances with 90% shelf availability

The Client

Client is a major retailer based out of the Middle East. They are the pioneers in food wholesaling, grocery stores and malls. The company operates 300+ stores across multiple formats such as supermarkets and hypermarkets, convenience stores and wholesale outlets.

The client was looking for an enhanced demand forecasting and replenishment framework that could help them gauge accurate daily and monthly inventory requirements across stores. They set themselves a target of reducing inventory cost by 20% while not jeopardizing availability.

The client, already an existing user of traditional demand planning tools, strongly felt the need of a new replenishment framework that captures dynamic demand forces induced due to shifting consumer behavior and channel complexities while also cognizant of the as-is state and parameters of the supply chain. The client hoped that such a framework would help them cut down inventory cost without compromising on availability.

The Challenge

Achieve inventory reduction by 20% while maintaining availability above 90%

The Solution

1 Hyperlocal Replenishment with Order Right

ADA Global’s demand forecasting and replenishment solution, part of its larger merchandise AI suite of solutions for retail, was the perfect match for the client’s requirement. It uses unique and retail-native handcrafted algorithms to achieve a near-perfect match between demand and supply. Its plug and play ability allows retailers to quickly realize return on investment without having to spend organizational resources in setting up or compromising on key business metrics.

As a part of its larger engagement the client wanted to focus on optimizing inventory cost across 3 departments for its marquee store located in the heart of the city. These 3 departments were – grocery salt, confectionery, and personal care. The combined count of categories under these departments was 200+. The choice of the departments was based on the fact that these departments had witnessed the most increase in inventory cost over the past year.

ADA Global’s demand forecasting and replenishment solution (Order Right) was configured and ready to use within two weeks of data integration.

With the help of Order Right, the client was able to automate and optimize replenishment schedules for 200+ categories across the 3 departments on a single platform without having to use multiple tools, systems and back of the hand calculations. As a result, the client was able to reduce inventory levels by 21% and also witnessed a 9% reduction in out of stock instances.

Order Right’s retail-native demand forecasting technique uses an ensemble of algorithms (2000+ unique algorithms including machine learning and deep learning algorithms) to predict demand for products.

These algorithms account for not just internal factors such as historical sales, promotions and inventory levels but also exogenous factors such as weather, festivals and events that affect demand. The outcome therefore is a more dynamically linked demand forecasting than traditional demand planning tools.

This predicted demand for products in conjunction with supply chain parameters such as lead time, minimum order quantity, fulfillment rate, etc. and category factors such as expiration date and shelf life are then fed into a a unique replenishment optimization engine to generate optimized replenishment schedules.

Content

The Results

The Client

The Challenge

The Solution

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Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %

Reduction in out-of-stock across stores

0 %

increase in revenue

400+ retailers & brands across the world trust ADA Global to consistently deliver on their commerce KPIs

Major US Supermarket Drives Data-driven Marketing Personalization

Case Study

Major US Supermarket Drives Data-driven Marketing Personalization

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Segment

Retail

The Results

0 %

Digital Account Growth

0 %

Revenue

0 X

Increase in Mobile App Usage

The Client

The company, established in 1936, is among the largest privately-owned retail chains in New England. The grocer is listed in Forbes Top 500 Private Companies. In addition to grocery, the company covers pharmacy, prepared foods, and fresh foods.

The Challenge

The company was experiencing poor customer engagement and low conversions from their marketing campaigns due to the lack of insights-driven personalized, omnichannel marketing. They aimed to:

Create a unified view of customers across online and offline channels
Create granular customer segments and gain a deeper understanding of customer journeys
Drive personalized marketing — curated to each customer’s preferences, transactional behavior, lifecycle stage, and promotional activity — across touchpoints

The Solutions

1 Real-time Customer Profiles

Use Algonomy CDP to capture behavioral data in real-time for both known and anonymous customers. Create dynamic segments for activation at scale.

2 Predictive Customer Analytics

Leverage actionable algorithms to create granular micro-segments. Perform look-alike and propensity analyses to drive next-best actions, and measure response with campaign and journey analytics.

3 Omnichannel Marketing Campaigns

Leverage machine learning algorithms, advanced analytics, and micro-segmentation tools to automatically orchestrate, test, and optimize personalized campaigns across the entire customer journey.

4 Personalized Customer Engagement

Leverage data to send the right promotions and content to shoppers, at an individual level. Auto-optimize and eliminate tedious manual A/B tests.

5 Predictive Customer Analytics

Localize assortments based on sales forecast, seasonal trends, purchase patterns and weather.

Analyze attributes like shelf duration, weight and date to optimize fresh produce inventory and sales.

6 Personalized Customer Engagement

Strike a balance between manual and automated merchandising. Assist Merchandisers with faster replenishment using real-time auto-optimization and custom strategies created manually.

Predict out of stock and prevent lost sales by atleast 5-10%

Content

The Results

The Client

The Challenge

The Solution

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Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %

Reduction in out-of-stock across stores

0 %

increase in revenue

See How ADA Verify Can Simplify Your Customer Onboarding

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Leading online thrift store connects with shoppers individually

Case Study

Leading online thrift store connects with shoppers individually

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Product Used

The Results

+ 7.3 % Conversions
Improved Brand Perception
Engaged Shoppers

The Client

The retailer is the largest online consignment and thrift store in the US, with the vision to help customers shop sustainably while saving money on their favorite brands.

The Challenge

With over 2 million unique SKUs to manage and promote, The retailer needed to move beyond basic site search to enable truly personalized results, making the experience individualized and accurate. The retailer found that sessions that include search convert 50% better than those that don’t, however, the search terms are terse and do not provide much insight into shopper intent. How do they then tailor results?

Move from Segmentation to 1:1 Personalization at Every Customer Touchpoint

1 Complete, unified commerce personalization

Connect all digital path-to-purchase touchpoints — search, navigation, recommendations, and content — to deliver one personal experience that supports the complete customer journey.

2 Most comprehensive library of 150+ personalization strategies

Accelerate time to market with our strategy library that ranges from wisdom of the crowd and collaborative filtering approaches to deep learning visual discovery and NLP approaches.

3 Advanced merchandising

Cross-sell and upsell seamlessly by leveraging product attributes and compatibility data. Create automated recommendations and bundles that take the load off your merchandisers.

4 Algorithmic decisioning for every user with real-time context

Leverage AI to detect each shopper’s stage in the buying process, and combine it with their affinities to pick the best strategy that delivers the most relevant 1:1 experience while meeting your revenue or engagement goals.

Content

The Results

The Client

The Challenge

Move from Segmentation to 1:1 Personalization at Every Customer Touchpoint

Get in touch

Unlike Amazon, we carry an inventory of one. So traditional personalization strategies — customer segments, popular items, and past purchases — don’t work for our business. We needed true individualization, and Ada Global was the answer.

Chief Technology Officer

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Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %

Reduction in out-of-stock across stores

0 %

increase in revenue

Top Brands Trust Ada Global

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

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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

Content

The Results

The Challenge

The Strategy

Awards

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Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %

Reduction in out-of-stock across stores

0 %

increase in revenue

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

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We 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

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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.

Content

The Results

The Challenge

The Strategy

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Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %

Reduction in out-of-stock across stores

0 %

increase in revenue

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

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We 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

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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.

Content

The Results

The Challenge

The Execution

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Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %

Reduction in out-of-stock across stores

0 %

increase in revenue

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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

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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.

Content

The Results

The Strategy

The Approach

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Food & Beverage US

Wine.com Drives AttributeBased Recommendations for Personalization

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0 %

Reduction in out-of-stock across stores

0 %

increase in revenue

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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

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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.

Content

The Results

The Challenge

The Solution

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