Business Intelligence & Analytics
Leverage data analytics to make informed decisions, improve business outcomes and drive growth through analyzing and visualizing data that can uncover patterns, correlations, and insights
Want to improve your business?
Transform raw data into actionable insights. Our structured approach helps you make informed decisions and drive measurable results.
From data collection to data visualization and reporting, we cover the entire data analytics spectrum. Let us help you unlock the full potential of your data and make data-driven decisions.
Organic Social Media Analytics
Organic social media analytics (OSMMA) is the process of analyzing and evaluating the performance of a business organic social media presence. This includes metrics such as engagement rates, follower growth, post reach, and audience demographics. The goal of OSMMA is to understand how the business organic social media efforts are performing, identify areas for improvement, and inform decisions about future social media strategies.
Paid Media Analytics
Paid media analytics is the process of measuring, analyzing and interpreting data collected from paid media campaigns. Paid media campaigns include advertising campaigns on Facebook Ads, Instagram Ads, Tiktok ads, and Linkedin Ads. This can include metrics such as click-through rates, conversion rates, cost per like, etc. The goal of paid media analytics is to provide insights into the effectiveness of paid media campaigns and inform decisions about future paid media strategies.
Competitor Analytics
Competitor analytics is the process of analyzing data related to a business competitors in order to gain insights into their strengths, weaknesses, and strategies. This can include data such as competitor engagement, product offerings and marketing tactics. The goal of competitor analytics is to understand the competitive landscape and inform decisions about business strategy, product development, and marketing
Data Dashboard Creation
Data dashboard creation is the process of creating and maintaining a dashboard to visualize KPIs and other relevant data. Our service includes designing, developing, and implementing the dashboard as well as providing ongoing monitoring and troubleshooting.
KOL Performance Analytics
KOL performance analytics is the process of analyzing data related to the performance of key opinion leaders (KOLs) in order to gain insights into their effectiveness as brand ambassadors and to inform decisions about future collaborations. KOL performance analytics involves collecting data such as engagement rates, reach, follower demographics, and analyzing this data to understand how much impact the KOL brings to your brand.
Social Media Community Management Analytics
Social media community management analytics is the process of collecting customer messages and comments to gain insight on customer sentiments about the brand. This involves organizing and grouping inquiries and comments, as well as creating word clouds to understand the overall customer sentiment.
SEO Analytics
SEO analytics is the process of analyzing data related to a websites performance in search engine rankings to gain insights into its visibility. This can include data such as search engine rankings, organic traffic, backlinks, referring domains, and core web vitals. The goal of SEO analytics is to understand how well a website is performing in search engines, identify areas for improvement, and inform decisions about SEO strategy and tactics.
SEM Analytics
SEM analytics is the process of analyzing data related to a websites performance in paid search advertising campaigns to gain insights into its visibility and the effectiveness of the campaigns. This can include data such as click-through rate (CTR), cost per click (CPC), and quality score. The goal of SEM analytics is to understand how well a website is performing in paid search
GDN Analytics
GDN analytics is the process of analyzing data related to a websites performance in Google Display Network (GDN) campaigns to gain insights into its visibility and the effectiveness of the campaigns. This can include data such as click-through rate (CTR), conversion rate, cost per click (CPC), and conversion rate. The goal of GDN analytics is to understand how well a website is performing in GDN campaigns, identify areas for improvement, and inform decisions about GDN strategy and tactics.
Customer Service Analytics
Customer service analytics is the process of analyzing data related to customers in order to gain insights into their behavior, preferences, and demographics. This can include data such as website browsing behavior, social media activity, and demographic information. The goal of customer analysis is to understand customer needs, preferences, and behavior in order to inform decisions about marketing, product development, and customer service.
Email Marketing Analytics
Email marketing analytics is the process of measuring, analyzing and interpreting data collected from email marketing campaigns. This can include metrics such as open rates, click-through rates, bounce rates, unsubscribe rates, conversion rates, and revenue generated. The goal of email marketing analytics is to provide insights into the effectiveness of email campaigns and inform decisions about future email marketing strategies.
SMS Marketing Analytics
SMS marketing analytics is the process of measuring, analyzing and interpreting data collected from SMS marketing campaigns. This can include metrics such as sent messages, failed messages, open rates and click-through rates. The goal of SMS marketing analytics is to provide insights into the effectiveness of SMS campaigns and inform decisions about future SMS marketing strategies.
Website Analytics
Website analytics is the process of evaluating a websites performance in order to identify areas for improvement and optimize its effectiveness as a marketing tool. This can include analyzing data on website traffic, user behavior, conversion rates, and other metrics.
