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Personalized recommendationsHow to help customers do the shopping in
your Magento + www.quiosque.plCase Study
• Why e-shop needs recommendations• Magento recommendation out of the box• 10 best recommendation‘s strategies that is NOT Included in Magento
• Cases & Examples
E-commerce manager pain
How to help customers buy any product?
• How to increase conversion rate?• How to maximize cart value?• How to speed up my IT?• How can I have more time?
Personalized recommendations
WHEN YOU HAVE 1M VISITORS ONLINE, YOU SHOULD HAVE 1M VERSION OF YOUR E-
SHOP
How we define recommendations
Showing additional product to e-shop buyers when they are shopping
UpSelling, Related products, Cross-selling, Similar, Alternative, trending, bestsellers,
personalized, sold-out, long tail
Similar products recommendations
Related products recommendations
Up-SellingProducts you wish to your customer to buy instead of the
product that they are viewing
They might be- More expensive - Higher margin- Regular price
Cross-selling
Products to be purchased in addition to the product being view or added to the cart
Magento out of the box recommendations
Product Page- UpSelling- Related (cross-selling)
Cart Page- Cross-selling (impulsive)
Manual recommendation settings
Recommendations can be automated
Machine Learning algorithms
Collaborative filteringContent based filteringAssociation rulesNeural Networks
Black Box engine algorithms
BIG DATA
Real time personalization algorithms
Visitor browse e-shop webpage, each click does matter and is collected by the reco engine.
AI smart mechanism learn immediately the visitor needs based on his behavioral data.
Recommendation engine predict and decide automatically what products the customer might like and display personalized offer to him in the real time.
AI based Recommendations
What with Furby?
What with balaclava?
Strategies that work1. Personalized landing page2. Dynamic trends3. Smart Cross-selling 4. Smart Up-selling 5. Similar products6. Zero search recommendations7. 404 – page recommendations8. Add to cart cross-selling pop-up9. Impulse Cross-selling10. Personalized promotions
Case study
How www.quiosque.pl is enriched with personalized recommendation engine - QuarticON
Step 1 - Integration
<script type="text/javascript">(function(){ upsParams = window.upsParams || [];upsParams.push(['customer','xxxxxxxxxxxxx']);var _qS = document.createElement('script');_qS.type = 'text/javascript';_qS.async = true;_qS.src = '//rec.quartic.pl/qon.js';(document.getElementsByTagName('head')[0]||document.getElementsByTagName('body')[0]).appendChild(_qS); })();
</script>
One script before </HEAD>
• Tracking user interaction data• Product feed crawler• Widgets displaying
Step 2 – strategies
Step 3 - The results
12% total sales generated with recommendations
Cross selling Pop Up – Must haveCTR 15%, Conversion 5%
Thank YouPaweł Wyborski, Founder at [email protected]
