Analytics Archives - Chaosmap SEO And Facebook Ads Marketing Experts

Category Archives for "Analytics"

customer-analytics-performance

3 Keys To Optimizing Customer Performance Analytics

If you’re not leveraging customer analytics, you may be selling your business short.

In fact, companies that subscribe to the practice of collecting and leveraging customer analytics significantly outperform their competitors, according to McKinsey.

Moreover, firms that make extensive use of customer analytics are more than twice as likely as their competitors to generate above-average profit, sales and ROI — and they’re nearly three times as likely to generate superior revenue growth.

Achieving these types of results requires employing a smart customer analytics strategy.

In other words, merely having your IT department gather data without a solid strategy in place won’t automatically translate into financial improvements.

With that in mind, here are three keys to effectively leverage your customer analytics data for optimal business performance.

1. Draw Data from All Channels

In order to leverage customer analytics successfully, you need to base your analysis on a comprehensive view of data throughout your organization.

Sure, companies that work with data in silos may collect plenty of pertinent information, but they’re capturing just a snapshot of the buyers’ cycle, thereby only seeing a distorted view of their customers.

These days, customers expect the brands with which they do business to offer a comprehensive and efficient omni-channel experience.

In particular, implementing an omni-channel data-collection strategy should span all customer-facing departments of your company.

This includes marketing, sales and customer service.

Additionally, data collection should encompass all channels your customers use to interact with these departments.

For instance, your marketing data may include information collected from social media, mobile text messaging, email and other channels.

2. Integrate Your Analysis

Collecting data across all channels is only a preliminary step.

In order to put data to practical use, customer information assembled from various support channels should be collected into a central database for coordinated analysis.

This poses the challenge of how to synthesize data from multiple channels into a coherent whole. Ultimately, your company’s ability to integrate data effectively is heavily impacted by your software selection.

Software platforms that are designed to combine and analyze data from multiple sources greatly increase the efficiency of data integration.

For example, using an automation platform that tracks your online marketing practices across multiple channels makes it easier to obtain a holistic view of your various internet marketing campaigns, rather than having to log into each channel separately to perform an individual analysis.

Moreover, using a cloud-based call contact center allows you to pool your customer service data from all support channels, including chatbots, social media, mobile apps and interactive voice response.

3. Use KPIs and Benchmarks to Track Performance

In order to translate your data analysis into actionable outcomes, it’s vital to prioritize which key performance indicators to track and to set benchmarks that measure performance.

One of the most important KPIs to track is customer satisfaction scores.

In particular, soliciting feedback through post-sales surveys is one popular way to measure satisfaction.

Additionally, providing a means and encouraging your customers to interact with your brand on Facebook and Twitter is another cost-efficient way to gather data on satisfaction levels.

Other important customer-centric KPIs to track include customer lifetime value, customer acquisition costs, customer engagement and customer churn rates.

Additionally, it’s important to segment the performance of individual marketing channels and sales campaigns, allowing you to see how well your marketing and sales efforts are working.

However, you can improve the performance of your marketing and sales efforts by doing segmented tracking of the different customer demographics you serve so that you can see how well customers are responding to different promotions and offers.

You can then do split-testing for different demographic groups to adjust and improve your marketing and sales performance.

Smart use of customer analytics strategies can give your business a big boost.

Firstly, taking an omni-channel approach to data collection provides you with a complete picture of your customer interactions.

Then, through the use of integrated software tools, you’re able to better analyze your data and improve the ease and efficiency of your analysis.

Finally, employing KPIs and various other benchmarks enable you to translate your analytic-collecting efforts into practical, profitable results.

Understanding data is essential, and everything starts with a performance audit.

Jon Rognerud is well known as the most sought-after SEO, Digital Marketing Consultant and Online Advisor for Finance, Technology, Real-Estate and Health industries. He is famous for building business strategies, mobile websites and integrated marketing solutions that brings process, profits and brand loyalty…without wasting time. Jon Rognerud is the author of the best-selling book (Buy On Amazon), “The Ultimate Guide To Optimizing Your Website” (Entrepreneur Press) and is the Founder of Chaosmap. Get more information about the company here.

reasons to use google tag manager over google analytics

6 Essential Reasons To Use Google Tag Manager (Not Pure Google Analytics)

With Google Universal Analytics at long last out of beta, a lot of people are going to be transitioning from the old form of web analytics integration and overall script usage.

PROBLEM: Most sites and clients we come across still use the old Google Analytics code and use stacks of javascript from 3rd party vendors.

BEHOLD: There’s a new and better way to deal with page scripts for tracking and management.

There’s never been a better time to implement the new Google Tag Manager whilst transitioning through the upgrade.

The organization of scripts into one “container” (you simply place the new GTM code inside the <body> tag on your pages) is not only a great step forward, but it will aid in faster loading pages too. If your site is fast you know that your visitors will appreciate it.

The google tag manager model - the framework

The fact that you get centralized management, speed and agility is one thing.

Add to that the company governance and workflow (updates and deployments of sites from development, staging and production) with data accuracy and you have a winning formula.

The new way of using the GTM dashboard for containers, tags, triggers and variables management takes all the pain of script management to a very positive level for your business.

In truth, the improved automation, performance and reduced costs from something as “simple” as migrating from Google Analytics to Google Tag Manager should be obvious. If not, read this post:

Here are 6 Essential Reasons you won’t want to miss for you to transition and use the new Google Tag Manager.

#1 – Flexibility

Google Tag manager is ideal for flexibility. You’ll never have to involve a developer when you wish to tweak or modify a tag (scripts on your pages). This will save you time, money and a lot of headaches.

It allows you to focus on getting your web tracking working fast.

Easy to customize and even easier to achieve the tasks you want to complete. It’s never been easier or more convenient. With more flexibility you’ll find other tasks that you can do to make your site better than ever before.

#2 – Easy Upgrades

While the initial transition may be challenging or even seem daunting, once you’re done with all of the code swapping and maneuvering, you’re done.

It’s that simple.

Google has made it better than ever and they plan to continue improving upon the way they use tag manager and the interface. Meanwhile, you’re on the right path to improving your scripts management.

You can make your changes once and they will flow through to all of your pages. It’s that simple. Why would you want to have to do it more than once? Thanks to Google, you’ll never have to go through each and every individual page to make the changes that you need to have done.

Do it once … “set it and forget it”.

#3 – Acceleration

Since the new tag manager is quick, changes are done on an accelerated level. You won’t have to make a lot of changes to the code for your website. You’ll make your changes and be done with it, once and for all.

No need to revisit the site time and again to ensure that the changes have all gone through.

This will in turn speed up the launch time and ensure that your visitors won’t be wasting their time waiting for a page to load. In turn, this can keep your visitors coming back.

Visitors who find sites that load quickly and efficiently always appreciate it.

#4 – Debugging

Once you implement this, you’ll no longer have to worry about debugging scripts on your site.

Install the Google Tag Assistant as a complement to the debug process in Google Tag Manager.

This frees you up to apply your time to more important tasks such as adding in new and vital content.

Let’s face it, you have key things to do and you won’t need to stress over the website tracking. With debugging already built in, you’re sure to be up and running smoothly and effortlessly before you ever hit the publish button.

Automatic debugging is one of those vital components that helps you to remain on the cutting edge of technology. You’ll never be left to worry about those little glitches that your competitors stress over.

#5 – Versioning

It can be a pain each and every time you publish a new version of your website, or even migrating to another domain.

Google knows how much you need these vital elements so they have gone ahead and archived your former versions for you to refer to or re upload and utilize. If ever you need to “turn back time”, you’ll have it, right at your fingertips. With the click of a button you can simply go back and start over.

By utilizing this you can also organize your tags and keep track of them. This can also help you to find out if a certain tag isn’t doing what you need it to be doing and make the appropriate changes.

#6 – Pre-Built Tags

Thanks to built in tags, you can now select from a pre set list of tags that will help your tracking.

This one step can be vital to successful marketing. If you’ve never done coding before, you’re sure to appreciate the ease of this functionality. You can pick and choose, customize and set it all up simply by answering a few simple questions. If you are a developer, the marketing staff can update scripts directly, only with a quick email to let you know that a script has been applied.

Now — over to you.

It’s time to implement.

I assume you have a Google account already set up.

Just head over to tagmanager.google.com and get started.

As technology continues to move forward, more and more webmasters are making the move to Google Tag Manager. They’re updating their websites and are enjoying more visitors than ever before. It’s the perfect timing and you should make the move.

Now that you know the benefits, you’re sure to want to update your site.

NEED HELP? Contact Us Here and we'll set up a time to help you get started.


Watch the Google Tag Manager Video Fundamentals here:

Jon Rognerud is well known as the most sought-after SEO, Digital Marketing Consultant and Online Advisor for Finance, Technology, Real-Estate and Health industries. He is famous for building business strategies, mobile websites and integrated marketing solutions that brings process, profits and brand loyalty…without wasting time. Jon Rognerud is the author of the best-selling book (Buy On Amazon), “The Ultimate Guide To Optimizing Your Website” (Entrepreneur Press) and is the Founder of Chaosmap. Get more information about the company here.

Big Data Analytics And Social Media – The Hype And The Promise

Big Data and What You Can Do With It

The amount of data in our world has been exploding. Eric Schmidt at Google has stated: “Every 2 Days We Create As Much Information As We Did Up To 2003“. (Techcrunch).

Imagine the scope! And, analyzing large data sets, called Big Data, is becoming a large basis of use for businesses and their competitors alike. “Data” is important to every aspect of business. However, data is especially powerful to those seeking to leverage search, social, mobile, local, video, marketing and emerging technologies to compete, provide actionable intelligence to executive teams, provide better customer experiences and earn more market share.

Big Data is a term often associated with Fortune 500 and 1000 companies because these enterprises often have greater resources to invest into the collection and analysis of data.  If you’re a social media “expert” and you don’t know the connection between Big Data and Social Media, then you should sit up and take notice.

Social Media by the Numbers – Twitter/Facebookbig-data-social-media-hadoop

The popularity of social networking has dramatically increased in recent years. Today, there are more than 1.11 billion Facebook users and 500 million Twitter accounts.  This growth has led to a rise in the amount of data created daily, with Facebook reporting 665 million active users each day. Moreover, with the increased interest in Big Data and the capabilities it provides, everyone is suddenly interested to discover exactly what it can do for their business.

With the growing prevalence of users to post an abundance of information about their everyday lives, it provides businesses an opportunity to monitor the data and identify patterns of behavior in individual users.  However, due to the vast amount of data produced by social networks on a daily basis, the analysis of this information cannot be performed with a mere software algorithm; rather it must be done using Big Data analytics.

What is Big Data?

Big Data is a collection of both structured and unstructured data sets that are so immense, ranging from a few dozen terabytes to several petabytes. The data is beyond the ability of regular software tools to capture, manage, and process it within a reasonable period of time.  Unstructured data, which constitutes around 90 percent of Big Data, is made up of emails, social media posts, tweets, videos, mobile phone calls, and website clicks. The Interwebs provides gargantuan user-generated content (UGC). Structured data makes up the remainder of Big Data and is information contained in databases.

Big Data Analytics is where businesses derive new meaning from new data sources. New, meaning that was never practical to discover before. This could be because of scale, data formats, the distribution of data in many locations, or the fact that no one thought of looking before – or how to make use of it in the first place. It is easily as much a new mindset as it is new technology.  Executives and technologists are continuing the discussion, but real world applications are now put to use. Tableau Software provides analytics in the cloud right now.

Who are the Largest Players in Big Data?

A science team at a leading edge technology firm that leverages massive Twitter historical data and many other social media datastreams – @datasift – analyzed the social interaction around big data in 2012. The result was shown in the big data social media infographic. The top five big data related tweets were Apache, 10gen, IBM, HP and Teradata. And, when it comes to big data services and infrastructures, don’t miss The Big Data 100.

Why Should Businesses Care? big-data-why-care

Businesses must care about Big Data so they can learn what to offer, to whom, when to offer something new, and what channels to use. It can also help them know if they can handle problems themselves or they need to get outside help, which competitor might be winning. Shareholders and upward moving company stock prices will reflect victories in this area. Big Data will be the one of the most important things for business since the Internet due to the business insights that it can provide.  However, a small mom-and-pop business may not use at this massive scale, but can get social media analytics and reports from tools like Hootsuite today.

Big Data and Social Analytics

Historically, data analytics software hasn’t had the capability to take a large data set and use it to compile a complete analysis for a query. Instead, it has relied on representative samplings or subsets of the information to render results. That approach is changing with the emergence of new Big Data analytics engines, such as the opensource Apache Hadoop.

Hadoop processes large caches of data by breaking them into smaller, more accessible batches and distributing them to multiple servers to analyze. Hadoop then processes queries and delivers the requested results in far quicker than old‐school analytics software—most often minutes instead of hours or days. Hadoop and other such systems provide complete looks at big data sets, instead of a team of analysts spending days or weeks preparing the parameters for data subsets and percent samplings.

Generate and Analyzebig-data-analyze-databases

So with this overload of data, you must understand how it can be analyzed. Keep in mind the difference between just “data” and the “right data” – data that drives actions. With social media, it can be confusing as to which data is “right,” but again, focus on data that drives actions – either a change in business processes or a change in behaviors. The key to fostering the growth of social media and Big Data is understanding how to make each work individually – one to generate the “right data,” and the other to process and analyze the data.

By using specific social media monitoring platforms such as Radian6 and Buddy Media, you are half way there and can take this data and use the specific results to drive campaigns. You can appeal to the masses by tracking trends, addressing consumer concerns through their feedback, and identifying key influencers who can become brand advocates. These are all excellent ways of using the power of big social media data analysis. Big data analytics platforms like Paraccel may be considered for larger enterprises.

Experience the Power of Data

If you’re actively working on any digital aspect of a brand without the benefit of data, you’re just wasting your time. In this digital age, it is essential to identify trends and opportunities. Now, more than ever, data will play a vital role in every aspect of business. Data always has been a goldmine for marketers (strategy, social, search, SEO, PPC, PR).

However, it’s safe to say that the anticipated growth of data and emerging use of unstructured data are game-changers. Working with Big Data and Social Media will only lead to greater success as technology continues to advance. Those who recognize and embrace the power of this mountain of data early on are most likely reap the most rewards.

You can learn more about digital analytics and big data from our analytics primer.

Jon Rognerud is well known as the most sought-after SEO, Digital Marketing Consultant and Online Advisor for Finance, Technology, Real-Estate and Health industries. He is famous for building business strategies, mobile websites and integrated marketing solutions that brings process, profits and brand loyalty…without wasting time. Jon Rognerud is the author of the best-selling book (Buy On Amazon), “The Ultimate Guide To Optimizing Your Website” (Entrepreneur Press) and is the Founder of Chaosmap. Get more information about the company here.