Keyword Analyzer allows users to generate hundreds or thousands of unique keywords in a matter of minutes based on one single root keyword or multiple root keywords at once.
There are almost 5 billion searches made on search engines in the world daily. The associated data sets generated with these searches is huge and our major challenge was to handle that correctly. Keyword Analyser has different keyword modes that offer deep insights for marketing campaigns.
We used technologies like React, Redux, Highcharts, for efficient visualisation of data. The UI was kept clean and professional to allow for the users to easily navigate to the insights they need.
Keyword Analyzer is one of the most advanced keyword research tool that digital marketers can use to plan better campaigns.
Search through billions of records to extract meaningful data that advertisers can use for their campaigns.
To enhance the queries and reporting, SQream Big Data database was used to query billions of records.
To enhance the experience, detailed reports are displayed in the SPA for better user experience and faster loading.
Analyse what your competitors are doing with reports on their organic and inorganic keywords.
Using the average keyword competitiveness metric, you can calculate the viability of keyword ideas for your brand.
Check keyword ranking of your website on a daily basis and keep optimizing your strategy.
We used AWS Lambda, a serverless computing platform, for keyword processing. We deployed 3 different Lambda functions for competition analysis, rank tracking, and site age calculation respectively.
Data retrieved from the web scraping tools are sent using the Kafka messaging system to guarantee high performance and fault tolerance.
We limited usage of the main server resources by creating a consumer microservice to process the entire data sent on the Kafka service and deploying it to a different location.
The consumer microservice processes the links and then generates the KC score for the specific keyword and then updates them on MongoDB.Read Articles