A Brief History
Why Personalization Has Failed
Gartner recently said that 80% of marketers will abandon personalization efforts by 2025.
Why?
Data Issues
No unified data (disjointed experience).
No insights on that data (what content should we create? And which segments should we personalize to?).
Manual Work / Lack of Action
Too manual (too many rules and too much content to create).
Not all asset types and experiences are personalized.
No Revenue Impact
Marketers and merchandisers are struggling to prove the direct value of personalization.
As a result, many companies are abandoning their efforts in favor of site speed or other initiatives.
Thinking Differently
Opt-in for Personalization that Drives 'Real Impact' = Revenue
Personalization that drives revenue in commerce requires an understanding of products as well as an understanding of people.
Product Data
The Bloomreach relevance engine looks at your product data, every word, and extracts meaning such as the attributes and product type.
It knows when "chocolate" is the product and when it's an attribute so that when someone searches for “milk chocolate”, they don’t get milk pints.
Customer Data
Bloomreach also deeply understands customers. Our technology looks at every word and extracts the meaning of those words and matches those to your products.
It knows from experience that in “dress shirt”, the product is a “shirt”.
Commerce-specific ML and Datasets
Our commerce-specific ML helps your entire search get better on two levels. You benefit from our global libraries and database, and then once you’re a customer, we create information that is only yours.
Success Stories
Get Inspired
Doug GribbelWe definitely get the sense that we are tackling more bigger-picture problems, like how do we drive product discovery and expose users to new categories, new products, new services.
Senior Manager, Global eCommerce
Brooke LoganWe rely on the Bloomreach algorithm to really drive the majority of our search results and navigation and filter placements.
Sr. eCommerce Manager
Harriet DowellBloomreach is the perfect blend of art and commerce. It enables us to set rules to influence machine learning to drive key trends and metrics like margin, Average Order Value and conversion rate.
eCommerce Trading Manager
Bloomreach Made it Possible
Provide a Personalized, Quick and Easy Shopping Experience
Help Them Find Products Fast
- Personalize the most impactful areas of your site with cohesive technology.
- Return accurate results for every visitor by understanding which segments care about which product attributes and leverage associations between queries and products.
- Rely on AI, not manual rule writing, to ensure that your search is always getting better.
Relevant Experiences on Every Channel
- Deliver personalized content and products quickly to any channel or device from one central place.
- Combine customer data with the context of the moment. Interactions can be dynamically improved based on device, location, time of day, referring website, search times and even the weather.
- Understand association between products and content that helps you know which content leads conversion.
Intelligent Product Recommendations
- Deliver recommendations based on search behavior.
- Empower product managers to achieve specific business goals like boosting private-label products or helping find replacement parts.
- Leverage the intelligent index by providing more accurate, personalized recommendations.
Learn More About Full-Site Personalization
Start Your Personalization Game Today
See How Much You Can Grow with Bloomreach
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