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At Tagalys, we obsess about improving product discovery at our retailers. How do we ensure visitors click on more products from search results or how do we ensure they find the most relevant products in the first 3 scrolls. To our customers (online retailers) eCommerce Search under 100ms to ensure scores are calculated and products sorted by what is most likely to sell, to help with end conversion is an acceptable trade-off. Read our testimonials to know more.
Algolia is a brilliant product, incredibly fast, and ideal for database searches. But does it solve the needs of e-commerce search? This is to learn what products are more likely to sell and optimizing your search results by showcasing products that are more likely to increase conversion for that query. Here is a quick comparison of the two with data researched on October 1st, 2017
*mo - Month, ms - Milli Second
With inbuilt analytics, Tagalys by default sorts search results based on what is trending. 'Trending' is the analysis of visitor engagement data across the entire site to predict the best selling products for any search query, based on historical engagement data. It collects data utilizing Tagalys analytics for site-wide engagement, understands engagement patterns, and determines Trending scores for all products. It continues to learn and improve these scores as visitors interact with the site. We also analyze data patterns across segments or for each visitor, to personalize search.
Algolia, on the other hand, has gone on record and said "Elasticsearch is a wonderful tool for Big Data analytics, but it is very difficult to reach a good relevance with it on database search. You can try to add some logic on top of Elasticsearch or try to reorder manually results for some queries, but it’s tedious work that continuously needs to be tuned. Algolia, on the other hand, focuses on getting a very good relevance with minimal configuration. While not optimal for all use cases, it makes it particularly appropriate for database search". The tedious work is what Tagalys has solved for online retailers giving them an out of the box solution, with simple installation.
Both Tagalys & Algolia also cover some of the basics of eCommerce search like showing suggestions with autocomplete, spell check & live product synching. Our core lies in the post-click analysis to keep learning from patterns and update trending, personalization, or localization scores, so the products displayed in search results are more likely to convert. So we can actually help you with improving your conversion at less than 100ms, happy to show you a demo anytime.Tagalys maximizes conversion rate & gives merchants visual control of products displayed in e-commerce Search, Category Pages&Product Recommendations at e-Commerce.
Vanja S
Sheike
"Tagalys makes merchandising effortless. Their data driven sequencing and sorting drastically improves our effectiveness. Tagalys takes the guesswork out of merchandising and product recommendations."
Ryan R.
Camilla
"I love that Tagalys listens to customer needs and has an innovative + agile team around them which can support addressing those needs and adding improvements to the roadmap."
Rafaelle C.
Blue Bungalow
"Tagalys is the powerful and reliable data-driven solution that we were looking for when it came to search & merchandising for our Shopify Plus store. There is no limit as to how custom you can get with your merchandising, which is exactly what we were after!"
Tiarne Warren
Meshki
"The dedication of Tagalys team is evident from the feature developments. I appreciate their effort in understanding our business needs and feedback. We have saved numerous working hours and achieved great performances."