web analytics

4 Things You Need to Know About Google Tag Manager

July 5, 2016 by Daniel Laws Leave a Comment

Google Tag Manager is a free tool that makes it easy for marketers and IT professionals to add and update website tracking codes – including conversion tracking, site analytics, remarketing, and social media – with just a few clicks and without the need to edit your website tracking code. Google Tag Manager provides businesses with control of the tracking codes, usability for marketers and IT, the ability to share information with specific users’ permission, and integrations to measurement marketing code like Facebook. Tag Manager captures the data that can lead to better ROI, a reduction in marketing costs, and a lot of time saved for your team!

Below are 4 things you need to know about Google Tag Manager:

1. You Need a Measurement Plan

A measurement plan is a document that translates your organization’s goals and objectives into metrics so that you can keep track of your website and marketing. A measurement plan provides a framework for the configuration and implementation of digital marketing strategies on your website. Without a measurement plan, there is no structure for a tagging implementation strategy. There is no way to verify that you have the necessary information to measure your goals and objectives!

2. One Tracking Code to Measure Marketing Initiatives

With Tag Manager, you get one tracking code to measure your website and marketing initiatives. This consolidates all of your data into one location to foster better decision-making based on that data. There are tagging templates and integrations to combine tracking codes from Facebook, LinkedIn, AdWords, Google Trust Stores, and more. Just one Google Tag Manager code will increase your website speed and improve your customer’s online experience on desktops, tablets, and mobile phones.

3. Google Tag Manager works for Web & Mobile Apps

Your Google Tag Manager tracking code should be added to your existing website code. As mentioned in the previous section, this Google Tag Manager code will work on responsive websites (for desktops, tablets, and mobile phones). Specifically for mobile phones, the implementation of Google Tag Manager for Mobile Apps is done with Firebase SDK. Firebase is a Google tool and infrastructure that is used to build better mobile apps and grows businesses by developers. Firebase SDK works for both Android and iOS to track behavior and actions that are specific to mobile apps and indicate success for businesses.

4. Better Measurement of ROI with Google Tag Manager

Too often, marketing and IT professionals work to get a website and mobile app live while neglecting to identify how they plan to measure success. With Google Tag Manager, both marketing and IT professionals have the ability to create and capture metrics that are needed to determine success as well as improve upon that success. The accessibility of integrations and templates make it easier to collect metrics within a single console. Overall, you get better data, better metrics, and better decision-making with Google Tag Manager. This means more money in your bucket and less time and money wasted!

Check out Google Tag Manager resources or contact DaBrian Marketing Group today!

Tips for Enhanced Ecommerce Reporting with Google Analytics

March 14, 2016 by Daniel Laws Leave a Comment

Enhanced Ecommerce Reporting with Google Analytics

Good morning. My name is Daniel Laws, and I am the Principal Owner of DaBrian Marketing Group, an advertising agency in Reading, PA. I’ve been fielding a few questions around Enhanced Ecommerce reporting with Google Analytics. Today, what I want to talk about is exactly that, Enhanced Ecommerce reporting with Google Analytics. What I’m going to address today is what it is, and first and foremost, how is it different from the existing reporting that’s there. Also, how do you set it up? When you should set it up, where to set it up, as well as who needs to be involved in setting up those elements. Why you should care. What’s the value for your business for you to have those pieces set up.

With that being said, I’d like to kick this off with a little bit of information. Don’t mind me. I’m looking at dual screens here where I’ll drag a few things in, and obviously try to show you what I can. Obviously because of confidentiality with some of our clients and showing you their Google Analytics, can’t necessarily do that, but I’ll do my best to make it as informative, and give you the appropriate resources, and also load this information to our blog so that you might be able to get links directly to the assets. With that being said, I’m going to kick this off. Bear with me one moment while I share my screen. First and foremost, what I want to talk about is what is Enhanced reporting. With that being said, we’ve got Enhanced reporting. What you can see here is Enhanced reporting is going to give you more granular information than what you would get typically from Google Analytics as it pertains to shopping behavior, performance behavior, sales, product performance, sales performance. Those types of components will be more informative to you.

I’m looking for the screenshot here of something that’s actually going to be of value. What you can see here in this particular area is that it’s able to give you information as far as shopping activity, where the abandonments are happening simply from the shopping behavior components, as far as adding things to the cart, abandonment from cart, abandonment from checkout, those types of pieces. It can give you more information as well but at a high-level, I think one of the things that you’re going to be able to see … I know you’re going to be able to see is the shopping behavior, as well as a number of other items that will help you to make better business decisions around what sales items are working, perhaps identifying opportunities to fix the site, what have you.

How is this different from AdWords Shopping? From an AdWords Shopping perspective, you’re going to get high level information as far as clicks. You’re going to get information as far as Ecommerce revenue, conversion rate, those types of things, cost per click, to be a little bit specific. It’s going to give you some of those components if you’re running shopping. Obviously, this is a blank scenario. That’s why I used it in a test environment, so to speak. Obviously, it’s going to give you that type of information within the reporting, which is uniquely different than what you’re going to get from an overview of shopping behavior types of components. Now, what we’re looking at is shopping related information, revenue affiliates, campaigns, transactions. Those types of things are going to populate within the shopping. As you can see, it’s rather different than the other components.

The other piece of this is how do you set it up. I think one of the best resources that are out there are … Obviously you’re going to want to go to the Enhanced Ecommerce reporting section. Again, I’ll put this link towards the conclusion of the video. You’re going to want to get that information around Enhanced reporting. How you set it up can be complicated. I don’t want to say it’s very complicated, but it can be complicated in some scenarios. You want to make sure you have the most up to date analytics component there. What I mean by that is if you take a look, if you’re not on the most up to date Google Analytics version, if you’re not on analytics.js, you will run into issues and will need to migrate. Again, this is the information that’s there. You’ll need to migrate to that. You do have two options. You can migrate in an existing component or you can create a new property. In most cases people are going to want to have some of that historical data, be able to look at it in one fell swoop. The migration can become a little bit cumbersome in order to make that happen. Perhaps at a later date I’ll be able to shed some light on that for you as well.

You want to make sure that you have a measurement plan, first and foremost, before you go on this. Why are you doing what you need to do in order to capture this information? What metrics and KPIs? How are you going to troubleshoot and validate everything that’s there? Looking at some of those high-level components within the measurement plan … I’m not going to get into the details. If you haven’t done or looked at a measurement plan, I would recommend that you take a look at Google Analytics Academy, which gives you a high level overview of a measurement plan and how to break that down. Make sure that you have all those metrics, those elements, goals and objectives lined out prior to implementing the Enhanced Ecommerce reporting with Google Analytics.

When should you set this up? In most cases, people are already going to have some type of data already established, some campaigns, things that you’re already doing. I would say as quickly as humanly possible. The reason why I say that is it’s going to shed some light on a number of different areas, as I eluded to earlier, and perhaps help you to identify some low hanging fruit. With that being said, you want to do it now. If you can’t do it now, do you schedule regular updates for Google Analytics in order to roll out new capabilities? When you roll out those updated capabilities, I think that is when you’re going to want to take a look at updating the code and implementing the necessary components.

The reason why I say that is that it goes back to what you’re going to want to enable first and foremost, the tracking capabilities in itself and turn on Enhanced reporting. One of the prerequisites for this, as you can see here, is to turn on that particular element. That is inside the Admin Console. Due to confidentiality, obviously, I won’t show you that right now. If you want to go to that particular area, you go into Google Analytics. You go to Admin, and then you navigate to the view area of Ecommerce Settings, enable that particular piece, and that should be able to help you with some of those elements. Obviously you want to save, and then you want to implement the appropriate tags. That’s where it goes back to the Google developer components of what needs to be there and establishing that plug-in. It’s a great resource for that type of information as far as impression data, product data, and action data, as far as what needs to be required within updating that code.

Perhaps the other option for when you should set this up is when you roll out new products, new site features, whatever it might be, is incorporating that into that roll out if you can’t get it out now. You’ve heard me talk a little bit about the code, and updating the code, and what do you need, and those types of things. The other piece of this is who needs to be involved. To some degree you’re going to need somebody with some programming skills, familiarity with Google Analytics code, so a web analyst or someone who can obviously read through some of the material and the reference materials within the guides, and assist with those elements. In general, that’s going to be a programmer, somebody with familiarity with JavaScript, HTML, CSS if necessary. That’s generally not often required. It’s usually JavaScript, HTML code, PHP, those types of things, depending upon what your site is built on.

Where does this information go? Obviously, what you need is a site, as I eluded to before, you need to enable this inside your Google Analytics as I showed you before. You’re also going to want to have access and administrative access to Google Analytics when you bring the necessary parties involved. You may opt to implement this from a Tag Manager perspective. For the purposes of right now, I would say test it, get it up in the test environment. If you have the appropriate Google Analytics configuration, you’ll generally have an unfiltered view, a master view, and in the test view, I would say get those elements up and running first and foremost. If you’re going to use Tag Manager, make sure that you’re utilizing something within a test environment with Tag Manager to populate that information. When I say Tag Manager, I’m referring to Google Tag Manager specifically.

Why should you care? Number one, it integrates with your Ecommerce site, which is uniquely different from the shopping campaigns. The shopping campaigns and AdWords are very specific to you utilizing shopping campaigns via Google Analytics, no more no less. With the Enhanced Ecommerce Shopping, will allow you to gauge opt in opt … Not necessarily opt-in but abandonment rate, check out issues, sales performance issues, as it pertains to your Ecommerce site without running a campaign in its entirety, or without the necessity to have to run a campaign, if that makes sense. With that being said, it gives you an opportunity to improve revenues, increase revenues, identify broken processes that are impacting conversion rates. Why are people abandoning the shopping process? Why are people not putting items in the cart? At the same time, identifying ways to improve the average order value and the efficiency of your marketing. Where does the efficiency of your marketing come in? Comes very much so into play with internal promotions, and order coupons, and being able to get that information within Enhanced Ecommerce reporting with Google Analytics.

One of the other pieces of this, as I eluded to, is obviously the checkout, the shopping behavior, the checkout behavior analysis, their performance, product performance, sales performance. There’s also the internal promotions, order, and coupons just to name a few others that are going to provide you with information on what is working, what products are moving, what sales are performing well, do you modify things, and being able to collect that information based upon the measurement plan that I had mentioned earlier, and looking at those core metrics and being very focused on the goals and objectives to be able to pull out those insights and to do something about it.

With that being said, what’s the value to your business? The Bottom line is this information is going to help you to increase sales and revenue. It’s going to help you to improve marketing efficiency. It’s going to help you to prioritize items that are going to impact growth. One of the things that we often see is you have business owners that are running their business themselves and are handling their Ecommerce site, or working with a vendor directly, or they’ve got a marketing manager that is all encompassing. You’ve got a huge organization where not all of the pieces are connected. Where do you prioritize what’s going to have the maximum impact on the business?

By implementing the Enhanced Ecommerce reporting with Google Analytics, it gives you the opportunity to prioritize that information more specifically, look at those low hanging fruits that can impact revenue and growth, and to make sure that you can allocate time with things that are going to have the maximum impact, as opposed to trying to tackle everything. In most cases, there’s a lot to tackle from an Ecommerce perspective. We’re talking about SEO. We’re talking about advertising, paid search, banner ads, shopping campaigns, remarketing, a number of different things from an Ecommerce perspective, and retail perspective is everything from inventory ads.

Where do you prioritize your time? I think by enabling Enhanced reporting, it gives you a little bit more visibility into that. It gives you better metrics and allows you to justify advertising spent. Listen to me again, allows you to justify advertising spent. Many times we’re spending money on SEO. We’re spending money on pay per click. We’re spending money on email campaigns. We’re able to see what’s generating revenues, what items are being bogged down. You can slice and dice that data by segment, by marketing tactics so to speak, whether it’s the source medium. From a Google Analytics perspective, allow you to slice and dice that information and look at that shopping information very specifically.

With that being said, what I’ll do is I’ll load some of these resources to our blog when the video is live, point you in a right direction. Perhaps at a later date, we can get a little bit more granular on implementation of the code. Maybe we’ll get our buddy, our resident programmer webmaster here, Brett, to actually walk through some of those components for you. With that being said, thank you very much. Hope it was useful. Please let us know if we can add anything else of value. Thank you very much.

Resources:

https://support.google.com/analytics/answer/6014841?

https://support.google.com/adwords/answer/3455481?https://developers.google.com/analytics/devguides/collection/upgrade/

Leveraging Attribution Modeling to Measure ROI & ROAS

August 11, 2015 by Daniel Laws Leave a Comment

According to 2015 CMO.com Stats about Marketing ROI, 93% of CMOs say that they are under more pressure to deliver measurable return-on-investment (ROI). Google Analytic defines “attribution modeling” as “the rule or set of rules that determines how credit for sales and conversions is assigned to touch-points or any point of contact between a buyer and a seller in conversion paths” (i.e. lead generation or sales process). Are you using attribution modeling to measure ROI or return on advertising spend (ROAS)?

Measure Marketing ROI and ROAS with Attribution Modeling

In general, most web analytics tools (Google Analytics, Adobe Analytics, comScore, WebTrends, etc.) associate the last point of contact, whether it be search, email marketing, social media, or ad that referred the customer with all the credit for the lead or sale. If paid advertising was the initial marketing channel in the lead generation process, but the potential customer didn’t fill out the online form until later via non-paid search (SEO), shouldn’t this count for something?

Understand Metrics, Act on Insights and Make Recommendations with Attribution

Can marketing executives really make better decisions without understanding the metrics that are associated with reporting? Attribution modeling provides marketing executives with a tool to compare different attribution models, understand their impact on lead/sales and the cost per lead/sale, and identify marketing channels that lead to higher ROI/ROAS. For example, take a look at the ROAS for last interaction vs. position based attribution modeling with Google Analytics:

Why Should Marketing Executives care about Attribution Modeling?

As marketers, we know that a lead or sale is based upon multiple points of contact with a brand. So, why should we continue to only allocate credit to the last interaction? Let’s take the Google Analytics scenario above for example. Take a look at the image above, the ROAS for paid search was 232% for the last point of contact (last interaction). If you use the position based model, this would have been an ROAS of 314.77% which is 82.47% than the last point of contact. This could be the difference between continuously running paid search and reallocating your budget elsewhere. By doing this more than once, it can create the perception of paid search marketing as an expense versus revenue generator.

Take Action with Multi-channel Attribution Modeling

The pressure is on marketers to measure ROI and to tell the story through data so here are our recommendations to get you started. First, identify the value of a lead or a sale and get confirmation from the executive team. Without a value, it’s going to be impossible to calculate ROI or ROAS. Then, identify an attribution model that best fits your business, test it and compare the metrics to put it into context. Finally, align your chosen attribution modeling with your insights, recommendations, and actions. Remember, attribution model isn’t perfect and technology continues to evolve, so continuously evaluate your chosen attribution model with the actual leads and sales your business is getting.

Leave us a comment below to share your thoughts or your experience with attribution modeling.

DMG Guest Blog Featured By Web Analytics World

February 4, 2015 by Dabrian Marketing Group Leave a Comment

This week, DMG’s Principal Owner Daniel Laws was featured as a Web Analytics World guest contributor with his “Mobile Analytics Guide for Mobile Websites.”

Daniel walks you through the necessary steps to capturing the meaningful data you need to

make informed decisions surrounding your mobile website. Check out the featured blog in full at:

http://www.webanalyticsworld.net/2015/02/mobile-analytics-guide-for-mobile-websites.html

This is Daniel’s second featured blog for Web Analytics World. We’d love to hear your feedback, so connect with us (or Daniel) on Twitter!

5 Tips to Jump Start Your Mobile Analytics

July 25, 2014 by Daniel Laws 1 Comment

Danny Laws, our principal owner, senior digital strategist, and chief dreadlocks connoisseur, covers his top tips to adopting mobile analytics*.

Learn to get your strategy in gear, your solutions configured, your reporting streamlined, and more!

Transcript

Hi, my name’s Danny Laws. I’m the principal owner of DaBrian Marketing Group. I’m also one of the co-chairs with Philadelphia Digital Analytics Association. I want speak to you today about mobile analytics. One of the things that we’re talking about mobile analytics right now in the space is that mobile search is on the rise, mobile usage is on the rise, whether it be a
tablet or a smartphone, and we want to talk about how to jump start your ability to collect that information and what you should be considering in order to get you moving down the path.

The first thing that we recommend here is connecting mobile analytics with business value. So what we talk about from a business perspective is, are we looking to increase brand awareness from a mobile perspective; are we looking to cut costs; are we looking to become more efficient. By walking down this endeavor of mobile analytics, is it going to help position the company better in the long run? Those are some of the things you need to be considering from a value perspective.

The next thing that we recommend is is aligning the mobile analytics with the overall strategy, so whether it be a lead generation audit, part of an auditing process, part of discovery or education for internal purposes, you want to align that back to the organization’s high-level goals and objectives to make sure that it’s part of the plan, and that it’s going to influence what’s happening within the plan.

So the next component would be implementation or to implement with best practices. There are number of analytical platforms as well as mobile analytics platforms you can leverage in order to capture the data. What I say to that is “Great, but at the same time we need to configure, we need to implement best practices.” We need to implement the appropriate filters, the appropriate segments and slice and dice the data, get the cleanest possible view that we can in order to better analyze that information.

So you want to make sure that you’re implementing with best practices regardless of whether or not it’s Google, Webtrends, SiteCatalyst, you name it. You want to make sure that everything is configured appropriately or to the best of its ability.

The next thing that I would say is to measure what matters to the mobile audience specifically, so that you can better impact what’s happening to those customers and for what they’re seeing, whether be resolution, whether it be device, whether it be operating system, you name it. You want to be measuring what matters to that audience, and when we speak to that we talk about the journey. So as an example, you might want to take into account the device, the behavior, the outcomes, and then analysis of the information that’s happening from your mobile audience and consider what’s happening, and take that into account.

The last component of this is to make decisions that impact customers. Ideally, user behaviors simplify the process, make it easier for them, make it a better process overall to help impact their ability to download information, to view information, to make a purchase, to fill out a form, whatever it might be.

Once you get to this process, it’s important that you continue to target, whether it be from a device perspective, whether it be from a platform perspective, you want to target and test what you can to improve and continue to impact customers in the way that they interact with your mobile site, with your site, whether be from an informational perspective or from an eCommerce perspective, to be able to impact those components.

With that being said, my final recommendation is just to do it. Pull yourself together, allocate some time, get the ball rolling, and seize the moment while search traffic is on the rise and people are continuously getting access to mobile. If you have any questions, any comments, don’t hesitate to comment on our blog, to hit us up on Twitter, or to reach out to us direct. Thank you very much, hope you have a good day. Good hunting.

Why Your Company Needs a Digital Analytics Framework

June 19, 2014 by Daniel Laws 2 Comments

Regardless of how big or small your organization is, you’ve got data (sales, financial, customer, CRM, etc.), and you need a structure to inform how you collect or report on the data. This reason needs to be logical and ultimately impact your bottom line as well as multiple departments or individuals within a company.

What is a Digital Analytics Framework?

According to Webster’s dictionary, a framework is the basic or conceptual structure of something. In the case of digital analytics, it is generally the basic structure of applying digital analytics or web analytics to business goals and objectives. This terminology is popular with digital analytics consulting companies and “enterprise businesses,” but severely lacking outside of the industry. Digital analytics consultants such as Semphonic, e-Nor, and Tatvic have clear examples of digital analytics frameworks.

Data and Big Data Aren't Magical

Simply put, data and big data require a “basic structure” to handle them (i.e. a framework). At some point, your business must apply the digital analytics framework within the business. If you’ve started or manage a business without planning, a competitive analysis, research, a structure, or people, then it’s likely that you’re missing a fundamental framework as well. The analytics framework acts as the guiding structure to data, big data, integration, people, and the results (proven by analytics, obviously!). If the information you capture and integrate, the applications or tools to use, and the personnel you hire aren’t based upon a framework, you don’t have a direction!

But Where’s the Value?

When you’ve got a boatload of data all over the place, but no freaking clue as to how or what to pull together, a framework’s value shines through. For many businesses, this is the equivalent of finding $5 in your pants or shirt pocket every morning. It doesn’t sound like much, but it adds up! Here are a few real examples:

Reduce Your cost per new customer, Lead or Sale by $5

With this goal, an analytics framework provides the structure to collect information on new customers, identify the source of each lead, and explore possible integrations to identify trends as well as opportunities to cut costs by $5 per new customer.

Increase lead generation, but with less marketing budget

If you don’t plan to collect the lead generation data, lead source, cost per lead, and have people to analyze the data, then it’s difficult to identify the tactics driving leads and at a lower cost than others.

So, how can you begin to incorporate a framework? Start by leveraging your existing assets. For example, I spoke with a Business to Business (B2B) company last week that has a purchase lead list, telemarketing services, and is tracking the leads in a Customer Relationship Management (CRM) system. The scary part is that after the telemarketing department schedules a meeting and the sales reps follow-up, the leads enter a “black hole”! By employing this approach, so does their profitability and growth.

Do you remember the saying, “If I knew what I know now, I would have……?”. The value of a set framework is in cutting costs, identifying opportunities, capitalizing on competitive advantages, and adjusting to shifts in industry-wide trends.

But Data and Big Data Don't Apply to my Business

I’m going to put it in the simplest terms:

Overlooking data will result in a wasted marketing budget
Not evaluating competitors’ marketing efforts will give them the upper hand
Ignoring the industry will negatively impact your competitive position

Steps to Move Toward an Analytics Framework

I would recommend that you start by revisiting your company’s goals and objectives. Then, you should take inventory of all your data points across the company. For example, you should list the tools that you use for the following items: sales, CRM, QuickBooks, email marketing platforms, ecommerce platforms, digital analytics, etc. You should also compile examples of all of the reports that the business is using.

Identify 3-5 business related questions that will help you to achieve your goals and objectives that you don’t currently have insight into. You should review the latest industry privacy and legal requirements regarding data storage for your industry. The goal here is to acquire information, develop a strategy, and streamline the discovery process.

Finally, pick up the phone and call 3 digital analytics professionals for an estimate. In many cases, it will require more than one person to create the strategy, implement the technology, integrate reports, and identify insights. Don’t fall into the trap of asking a marketing professional to build an analytics framework. Think of it this way—you wouldn’t ask an electrician to build you a house!