EMPATHY.CO VS CROWNPEAK PRODUCT DISCOVERY

Asos Interface
empathy.co ux interface sample

Inspire and guide shoppers in a single click,
while respecting privacy, with Empathy Platform’s
Search & Discovery technology.

Teams

EMPATHY
CROWNPEAK
EMPATHY
ALGOLIA

Company

TOTAL TEAM SIZE

Engineer

32
173

Sales

3
26

Marketing

7
9
empathy.co
Founded
2012
Total Revenue
& PROFIT
22M
+$5M EBITD
~10.7M
Non-profitable

Privacy & Compliance

IP adresses
GEOLOCATION
empathy

IP addresses read-only for Platform Engineering operations. No persistence

CROWNPEAK

Multi geolocation aware notices

Voice collection
BIOMETRIC DATA
empathy

No-Biometric, no-voice, no-image

CROWNPEAK

n/a

User IDs
IDENTIFIERS
empathy

In-Session IDs only

CROWNPEAK

Targeting groups

Consent banner
Consent Banner (Cookies &Trackers)
empathy

Not needed, because Empathy is privacy-first

CROWNPEAK

Universal Consent Platform, Cookie Consent Tool

Privacy policy
Privacy Policy Page Integration
empathy

Not needed, because Empathy is privacy-first

CROWNPEAK

n/a

AI-powered search

Magnifier
AI search approach
empathy

Hybrid (keyword & vector) search using ML and  NLP. Semantics API

chip circuit
AI-driven results experience
empathy

Sequential keyword & vector search when searching and indexing. First, keyword search is executed, then vector search if needed.

bubbles interconnecting
Responsible semantic data models
empathy

Open-source foundation semantic models fine-tuned with proprietary datasets for each specific domain.

Harddrive DB
Data integrity & privacy-first
empathy

Privacy control measures based on consent-domain integral data as well as semantic models trained to guarantee confidentiality with anonymised in-session behavioural interactions.

AI illustration
AI vectors explainability
empathy

Play Vector explains through visual insight the what and why behind the AI-generated feed enrichment, semantic models and computed data. Additionally, manual judgments complement offline automated evaluations empowering merchants to orchestrate AI to their ambition.

Features

Vector recomendations

Check
Wrong

Brand recommendations

Check
Wrong

Top Clicked recommendations

Check
Wrong

NQ recommendations

Check
Wrong

Related Tags

Check
Wrong

Next Queries

Check
Wrong

Dynamic Filters

Check
Check

Redirect Links

Check
Wrong

Promoted Banners

Check
Wrong

History Queries

Check
Check

Top Clicked

Check
Wrong

Top Clicked with images

Check
Wrong

Popular Searches

Check
Wrong

My History

Check
Wrong

Accurate suggestions as you type

Check
Wrong

Results as you type

Check
Wrong

Next Queries

Check
Wrong

Clear separation between search business roles

Check
Wrong

Equalize/ Static relevancy config (AB)

Check
Check

RT + Curation

Check
Wrong

NQ + Curation

Check
Wrong

Promotions (banners)

Check
Wrong

Redirections

Check
Check

Popular Searches

Check
Wrong

Top Recommendations

Check
Check

Brand Recommendations (Query Preview)

Check
Wrong

Next Query Recommendations

Check
Wrong

Dynamic Re-ranking

Check

Contextualize

Wrong

Not found

Partial Results

Check
Wrong

Identifier Results (Sku Search)

Check
Check

Query Field Weights & Boosting (Custom Ranking rules)

Check
Wrong

Boost/bury products (Custom Ranking rules)

Check
Check

Explain

Check

Transparency about all aspects that affect the product scoring in order to understand the position of each result in specific queries

Wrong

Blacklist of terms

Check
Wrong

Not found

Visual analytics (Insights)

Check
Wrong

Not found

Open statistics/analytics API

Check
Wrong

Not found

Public roadmap - Documentation

Check
Wrong

Release notes - Documentation

Check
Check

REST API

Check
Check

Typo Tolerance (Spellcheck)

Check
Check

Grouping / Distinct

Check
Wrong

Dynamic Sorting

Check

Sorting feature exists, not found if it's dynamic

Faceting & Filtering

Check
Check

Facet Value Searches

Check
Wrong

Not found

Synonyms

Check
Check

Dynamic Synonym Suggestions

Check
Wrong

Language support

All languages

Support for any worldwide language, but automatic language detection capabilities only for 30 languages.

Stop words

Check
Check

Geo Search

Wrong
Check

Search Analytics

Check

Search Success KPIs

Query performance reports

Search Opportunities for improving

Search Performance

Visual analytics covering business cases

Open Statistics API

Wrong

Not found

User-level Search Personalization

Wrong

Empathy doesn’t do User Personalization due to privacy concerns. More info here: Session Contextualization

Check

A/B Testing Results

Equalize in EPP enables merchandisers to configure and curate the brand search experience by audience segment. Affect product scoring by weighting attribute values and applying them to different segments. Merchandisers have granular control and visibility over how search results appear and the agility to adapt quickly, provide relevant results, and support merchandising goals

Check

Query Suggestions

Check

Wisdom of the Crowd-based

Check

Visual Dashboard

Check

Search & Discovery Playboard

Analytics & Insights for detecting opportunities and understanding shoppers behavior

Tooling for setting up relevance and ranking

Search Experience Customization

Overview of the product grid and scoring details in Explain

Account management

Monitoring of all actions taken in the Playboard

Instance Management Console

Wrong

Not found

Search UI Component Library

Check

Interface X Components

Wrong

Not own Search UI Library

Privacy Friendliness

Check

Wrong

Front Libraries

EMPATHY vs algolia
EMPATHY
CROWNPEAK

Front Libraries

Front Libraries
Open-Source Front Libraries

Interface X Archetype Layer

can be integrated into any web project, regardless of the frameworkInterface

X Components
only integrated into Vue or React projects (through react-wrapper)

FRONT
LIBRARIES


Not own frontend library

DOCUMENTATION
Documentation

Not own frontend library

DESIGN SYSTEM
Design System

Brand design system based on Tailwind. Coming soon to the documentation.

Design System

Not own frontend library

Support

Empathy
crownpeak

Channels

Check

GitHub issues

Check

Email

Check

‍Private Slack (including audion & video calls)

Check

Prioritised Support 24/7

Check

Customer Success specialist

Check

GitHub issues

Check

Email

Wrong

‍Private Slack (including audio & video calls)

Wrong

Prioritised Support 24/7

Wrong

Customer Success specialist

Expert Onboarding & Training

Check
Wrong
TEAM
PRIVACY
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FEATURES
FRONT LIBRARIES
SUPPORT