Elasticsearch

it_geeks — Wed, 05 Apr 2017 13:13:57 +0000

Elasticsearch is a distributed open source, full text search and analytics engine. It is powered by Lucene, a powerful open-source full-text search library. Elasticsearch is an open-source, broadly-distributable, readily-scalable, enterprise-grade search engine. Accessible through an extensive and elaborate API, ELASTICSEARCH can power extremely fast searches that support your data discovery applications. It provides fast data retrieving because it allows cluster and node thing and the way of storage by distributing data in index , then it’s worked on shards n replicas that makes it faster to search. The core features that are required to build applications for powerful searches are found in Elasticsearch that range from the intranet to the searches of e-commerce websites. For e-commerce related websites, it gives the option for enabling a high level of reliability, flexibility, relevance, etc. and some particular features that help in conversion and retention.

– Elasticsearch is primarily used when there is a lot of text. Traditional RDBMS don’t perform well for text search. Elasticsearch is highly customizable, extendable through plugins. One can build robust search without much knowledge quite fast.

– Along with Logstash, it is used to store and centralize logs from various sources. Integrating Kibana lets one connect to Elasticsearch cluster and create visualizations straight away. GrayLog is also using ElasticSearch as backend to store logs.

– The ELK stack can interactively search, discover, and analyze to gain insights that improve your products. It is used in the analysis of time-series data such as social media.

– Combining above uses, Elasticsearch enables enterprise search which includes Document Search, E-commerce product search, blog search, people search, site search in all its forms.

A huge amount of data affects the usability of the system performance and query response time. Using Elastic search query response time can significantly reduced.

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Conversions & Bounce Rates :: E-Commerce Business

it_geeks — Tue, 25 Oct 2016 13:25:33 +0000

Reducing BOUNCE RATES should be a priority for any ecommerce business, so getting a professional web designer to help you address this issue may be a good idea if you are aiming to increase conversions. For the uninitiated, the bounce rate is the statistic which indicates the percentage of visitors who arrive on a site and then leave without visiting any other pages. There are a number of reasons that this might occur. If users arrive on your site and find that the content there is relevant to their needs, well written and engaging, then they are more likely to spend time digesting it. But optimising content to encourage visitors to head to other pages, how you display the material is equally important.

The layout of text is essential as you need to make it easy to read and digest. Shorter sentences are desirable, while paragraphs containing three sentences at most will work best. Popups are routinely pinpointed as a source of user frustration, which is why they should be avoided at all costs. This not only includes popup ads, but also interstitials which sites use to advertise promote mailing lists, surveys, app downloads and other elements to visitors. Even if a page is well designed and has strong content, bounce rates may remain high if visitors arrive, find what they are looking for and are given no reason to remain on the site. So including a call to action on landing pages to encourage the desired action is an important tactic in good web design and conversion rate optimisation. Either way, its inclusion will assist in minimising bounce rates.

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Elasticsearch

Conversions & Bounce Rates :: E-Commerce Business