Data Driven Decisions

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Listening To The Data

Analytical Success

Many companies work tirelessly to create new content and generate excitement around their brand, but many make the mistake of sharing that content and immediately moving on to 'what's next'.

At Blue Zinc Media, we use analytics to understand how your audience is consuming content and then continue to create new and exciting content based on that data.

Full-Suite Optimization

Tracking Engagement

In order to optimize your organic SEO rankings, your email campaigns, or even your conversion rates you need to understand the data behind the scenes.

Unlike many digital marketing agencies, Blue Zinc Media brings past successes, client insights, and analytical data to every digital marketing strategy.

We will help you to determine how your audience is actually engaging with your brand by tracking things like unique visitors, time spent on page, conversion rates and social actions.

Data Driven

You will be able to make educated, data-driven decisions

Deciphering The Numbers

We will help you understand the underlying numbers

Tracking What Matters

We will track the numbers that really matter - No fluff

Detailed Analysis

Data Driven Results

Creating and sharing content, having a website, and spending time on SEO is all great, but if you don't know what is actually working then you could be wasting a lot of time and money.

Tracking, analyzing, and understanding data is key to any marketing strategy. The numbers you see will tell you what is working and why.

Our Analytics services will help you to understand what the data is trying to say. These numbers will tell you a lot about what your audience wants, so let us help you listen.

Analytics FAQ

In the context of digital marketing Analytics measure business metrics like leads, sales, traffic, time on site, page load speed, page views per visit and other online events that affect whether, or the rate at which browsers convert into customers.

A Bounce Rate is the percentage of users who leave an entry page without going to another page or interacting with your site.

Bounce Rate is the percentage of users who visit one page and then leave the site.

It is important to note that the bounce rate is not determined by how much time a user spends on a page.

If a user does not interact with a page, or visit a second, page they are considered a bounce.

An Exit Rate is the percentage of users who visited your site and left on a specified page.

In other words, the Exit Rate tells you what percentage of users saw a specified page last and then exited the site.

The difference between Bounce Rate and Exit rate is where the user starts.

If a user starts on Page 1 and leaves on Page 2, Page 2 is an exit. There is no bounce because the user visited two pages.

If a user starts on Page 1, does not interact or visit another and leaves on Page 1, it is considered a Bounce and an Exit.

Bounces from a particular page will be included in the Exit Rate for that page.

Time on page is calculated by taking into account the amount of time between when the user lands on a page to the time a visitor goes to another page.

It is important to note that users who ‘bounce’ cannot be included in Time On Page metrics. Time on Page is calculated from the loading of Page 1 to the loading of Page 2. If the user does not visit Page 2 the time between cannot be calculated. 

Time on Site, sometimes also referred to as Visit Duration, is the time a user spends on the entire site during one session.

Time on Page is the amount of time a user spends on a single page.

Visits are the number of individual sessions during a specified reporting period. A single visitor can have multiple visits.

Visitors are the number of users who visit your site during a specified reporting period.

Pageviews is considered to be the number of times a page, or group of pages, are viewed or loaded.

If a user visits your site 7 different times they would be counted as 1 unique Visitor, and 7 Visits.

If a user lands on your homepage and then visits your About Us page, Contact Us page, 2 Services pages and then returns to your Contact us page it would be counted as 1 Visit with 6 Pageviews.

There are 4 main steps involved when completed Analytics for your website, they are as follows:

Collection: Before you can actually do any analytics you need to collect data. Data is obtained or collected through various data mining techniques. Data is gathered and prepared from various sources.

Reporting: Data is then arranged and presented in a format from which it can be formally analyzed.

Analysis: Data is inspected, reviewed and analyzed to uncover useful information and insights that can be used to improve your business, operations, and efficiency.

Implementation: Decisions are made to improve specific, targeted results based on the conclusions derived from the analysis of collected data.

Yes, you absolutely need to be using Analytics. Analytics will help your business attract new customers, retain existing customers and even grow existing customers into loyal brand ambassadors.

Analytics will enable your company to better understand customer behaviour and patterns, allowing for you to forecast and plan growth efficiently.

Analytics will help you to understand and even predict customer search and purchasing behaviours. This will allow you to optimize promotions, marketing campaigns, SEO and Social Media.

Furthermore, through the analysis of market trends, customer’s trends, and competitive analysis you will be able to implement ideal pricing at the ideal time.

In the same token, this data will allow you to better understand supply and demand, resulting in optimum supply chain management and the improvement of overall operational efficiency.

Everywhere. Every department, every campaign and every project should be employing the use of analytics. For example:

Analytics in SEO: a data-driven approach to SEO will improve the relevancy and quality of content.

Analytics in Sales: growth hinges on understanding trends and consumer behaviour. By using Analytics you can increase customer engagement, better understand their needs, better understand who is most likely to make a purchase and increase lead generation and conversion.

Analytics in Social Media: Analytics will allow you to identify customer interests, preferences and buying patterns. Furthermore, Analytics can be used to predict future trends before they even start. Marketing strategies can then be optimized for these interests, preferences, patterns, and trends.

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