Continuously working on the IntegerNet_Solr search extension for Magento 1 and Magento 2.
Link goes to the FREE version on Github with improved catalog search with Solr. More info on the PRO version with additional features: https://www.integer-net.com/solr-magento/
This module is an approaching in the functionality of searching by voice in Magento 2.
Enable/Disable Search by Voice Recognition Devices Scope (desktop or mobile or both: desktop & mobile) Input Seach-Id (dom) Configurable. Voice Languages Recognition: Spanish and English Doonfinder® [Beta] Compatible
iOS not support this API for now. But there's a "Global Usage" of 60% and 73% in Spain (source: https://caniuse.com/#feat=speech-recognition )
Started by Jeroen, this project grew to be a much used project to improve Magento search. During development, I jumped in to develop some features and make some improvements.
Out of the box, Magento ships with search autocomplete functionality, which is great.
However, when requests come in along the lines of "How do I limit the number of results in the typeahead?" or "I want to turn off the autocomplete functionality" Magento doesn't have a great story...
Sure, it's trivial to make these kinds customizations through a local module, or editing the theme files, but wouldn't it be nice if you could configmarate all the things right from the admin panel?
Mpchadwick_SearchAutocompleteConfigmarator enhances Magento's out-of-the-box search autocomplete functionality by making several aspects of it's implementation configurable through the admin panel.
It was designed to get in the way of as little as possible and aims to only rewrite things that exist exclusively for search autocomplete.
It's purpose is to give you more control over the existing functionality without additional code deploys, and it is not intended to change the fundamental way that search autocomplete "works".
Google Analytics segments customers by their origin. We used this data to adjust our marketing campaigns and move our budget to the best performing sources of paid traffic.
We used the Multi-Channel Funnels reports to work out how our Channels (i.e. Organic Search, Referral, Email) worked together. How much time passed between a customer’s first interaction and the purchase and how much revenue ($) assisting Channels make.
We assumed that customers probably use brand terms to search for our business on a search engine. The likelihood is your business probably appears near the top of the organic search results.
If your business appears in the organic results you may decide you don’t want to bid for your brand terms.
Before you make that decision, there are some important things to consider.
If you have decided you still don’t want to pay for clicks on your brand terms consider these problems.
"your competition can still bid whilst potentially paying less to do so" and “It might cost you more if you don’t bid on your brand terms”.
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