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Game-changing DeepRecs NLP Improves Product Discovery of 2M+ Catalog with 96% Long-tail Items

Case Study

Game-changing DeepRecs NLP Improves Product Discovery of 2M+ Catalog with 96% Long-tail Items

Product Used

The Results

+ 0 %
Average Order Value (AOV)
+ 0 %
Click-through Rate (CTR)
0 %
More Items Per Order

Neowing and CDJapan are popular Japanese online shops that offer a wide array of entertainment products — including CDs, DVDs, games, books, comics, and character merchandise.

The Challenge

Neowing wanted to improve the experience on their digital channels with a focus on personalization at different touchpoints across the buying journey. With ADA Global, Neowing planned to:

  • Increase customer satisfaction and loyalty with integrated references, personalized browse and content experiences.
  • Improve product discovery of new and long-tail products, which form over 96% of the catalog.

With ADA Global DeepRecs NLP, recommendations are based on product descriptions rather than past purchases or historical browsing data. As a result, even for highly specialized and seasonal products, we can now recommend products with similar affinities, which makes shopping very convenient, highly relevant, and valuable for our shoppers.

– Katagiri Fumio, CEO, Neowing

Move from Segmentation to Hyper-Personalization at Every Customer Touchpoint

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.

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.

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.

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.

Table Of Contents
The Results
The Challenge

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Wine.com Drives AttributeBased Recommendations for Personalization

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0 %
Reduction in out-of-stock across stores
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Major US Supermarket Drives Datadriven Marketing Personalization

Case Study

Major US Supermarket Drives Datadriven Marketing Personalization

Product Used

The Results

+ 0 %
Digital Account Growth
+ 0 %
Revenue
0 x
Increase in Mobile App Usage

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

Our partnership with ADA Global, and use of their customer analytics solution to power our digital engagement and personalization platform, has helped us deliver the kind of contextualized digital experiences and interactions that consumers are expecting from their brands of choice. And most importantly, we’re seeing these efforts translate into incremental sales and profits for our retail clients. At the end of the day, that’s what it’s all about.

– Randy Crimmins, Chief Strategy Officer at Relationshop (ADA Global channel partner for grocery clients in the US)

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.

Table Of Contents
The Results
The Challenge

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

Top Brands Trust Ada Global

Read the Case Study

Major US Supermarket Drives Data-driven Marketing Personalization

Case Study

Major US Supermarket Drives Data-driven Marketing Personalization

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%

Table Of Contents
The Results
The Client
The Challenge
The Solution

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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

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