Site search is a cash generation engine when done right for your eCommerce business. But assuming you do have an engine in place, what should it do for you? Search engines are aplenty and at Tagalys we offer 3 versions for retailers to choose from. Retailers can choose the best version that suits their business needs. If we equate Tagalys to a Mercedes Sedan (a bias I have over the BMW), we can rank the technology behind our search engines. They are like, Relevant = A class, Trending = C class and Personalized = S class. The technology that drives the order of the search results is the biggest differentiator across these three versions. There are a few minor aesthetic differences as well. So let's dig in deeper. Please note that the search results are universally accurate across all 3 versions. The impact of product sorting in search results is the standout difference here. Interested already - SIGNUP NOW
This is an entry-level search engine, most suitable for retailers with less than 10,000 monthly visits. Tagalys also offers a free plan for this engine. This version of the engine will still show you accurate search results for any simple or complex search query, but it does not have the ability to personalize results (visitor analytics) or sort results by what is trending (site analytics).
You might still consider opting for the C class or S class models, but based on our data analysis across existing clientele we have some average user engagement metrics that point out that this engine is most likely to give you better ROI than the other two. But if your average cart size ($50) or percentage of visitors who search (5% - 10%) far exceeds industry benchmarks, you might want to consider the other engines. We also acknowledge that if you are a smaller business you will be starting out with low mobile traffic, acquiring analytics data, and visitors are getting to know more about your online store. This a great starter engine to help you tread the waters of online commerce.
This mid-segment engine is ideally suited for retailers above 10,000 visitors a month. Retailers at this size start showing patterns in data as the volume of data shows patterns on what products have the best engagement. With this engine, besides showing accurate search results regardless of search query complexity e.g., dress, maxi dress, Zara maxi dress, Zara cotton maxi dress, Zara cotton floral maxi dress, the engine considers historical engagement analytics across the site to determine the best sort order for search results that increases the probability of conversion. This engine should be used as a bare minimum to sort search results that are most likely to sell. This is done based on engagement data from the entire site. These results will appeal to your larger audience but not everyone because individual preferences are not considered in product sorting. Hence while this engine may cost more than the A-class, it is more likely to convert more visitors to customers. Hence ROI for this engine starts to make sense when you have high traffic leading to high search volume.
Tagalys maximizes conversion rate & gives merchants visual control of products displayed in Site Search, Category Pages & Product Recommendations at e-Commerce stores. To know more about our solutions and features, get in touch with us now.
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."