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DoubleClick Data Discrepancy between Google Ads & GA360 | Reasons

It is highly recommended to not compare Google Analytics and DFP numbers due to discrepancies that may occur. Check out this infographic to understand important points regarding those discrepancies.

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DoubleClick for Publishers (DFP) has the ability to count each impression that displays creatives (ads). But, it only does so when the server relays an ad response. Likewise, Google Analytics can count Pageviews only when a user’s browser executes the Google Analytics tracking code. Since they are located in different parts of your page, it is likely that one of these JavaScript snippets may load while the other does not.

Frames

A few publishers place DFP tags in an iframe that serve ads. But, browsers that don’t support the iframe tag can’t report an impression. This leads to Analytics counting more pageviews than impressions counted by DFP. Whereas, for those browsers supporting iframe tags, serving ads in such a manner results in an extra round trip between the browser and server. This causes some users to drop off from the page even before the browser has enough time to relay calls to both DFP and Google Analytics.

Security (blocking) Software

There may be a case where your Analytics timezone does not match with your DoubleClick for Publishers’ timezone. Here, two different sets of reports aggregate multiple yet distinctive time periods for the same displayed date. You can set the country or territory and the desired time zone you want to utilize as the day boundary for your reports, regardless of where the data originates from. You can learn how to set the time zone for your Google Analytics reports.

Timezone

There may be a case where your Analytics timezone does not match with your DoubleClick for Publishers’ timezone. Here, two different sets of reports aggregate multiple yet distinctive time periods for the same displayed date. You can set the country or territory and the desired time zone you want to utilize as the day boundary for your reports, regardless of where the data originates from. You can learn how to set the time zone for your Google Analytics reports.

Analytics Profiles

 

Google Analytics can let you create different profiles that you can use for filtering data. Take a case of viewing a profile filtering out some of the data. Here, DoubleClick for Publishers data will correspond to the filtered-out data which is not shown. Get to know how to create filters that control your report data.

DFP Video Companions

Google Analytics comes with DFP Video companion impressions since they display ads. But unfortunately, it does not include DFP Video ad impressions. Hence, while comparing impressions, make sure you include DFP Video companion impressions as well. Generally, these impressions that are reflected, are greater in value than that of the pageviews and if they are not, then consider 100 pageviews = 100 Impressions

Insights from Tatvic’s DFP Experts:

  • Every publisher may compare Google Analytics 360 data with Total CPC, CPM, and CPD revenue. But that is incorrect. Ideally, you should compare Google Analytics 360 Publisher Revenue with Total CPC and CPM revenue.
  • Google Weblight traffic will not be considered.
  • Facebook and Instagram article data will not be considered.
  • Some of the AMP pages will not be considered. Hence, ensure that your ads are rendering and providing the right data

Only if the AdUnitID is captured on all pages, then will the revenue from those Ads will be recorded. Also, it is to be noted that as per the industry standard, the revenue recorded will differ by an approximate 10%.

  • Page is not recorded Properly in Google Analytics or via GTM implementation
  • Chances for discrepancies are higher in cases where page reloads automatically while loading JavaScript but doesn’t load the ad successfully
  • Ad(AdUnit_path) is not rendered properly in your website code

Source: Google Support

Google Analytics 360 Premium vs Google Analytics Standard Comparison

This article is about Universal Analytics properties, which will stop processing data on July 1, 2023 (October 1, 2023, for Analytics 360 properties). If you haven’t already, start using a Google Analytics 4 property.

Introduction:

We all know that there are 2 versions of Google Analytics in the market for digital businesses. The standard version of Google Analytics is free of cost whereas the premium version, Google Analytics 360 is the paid version. For those of you searching for the cost of this data analytics tool, the Google Analytics 360 pricing is tier-based.
There is certainly a massive difference between the two but it all boils down to the one that best addresses your business requirements. This infographic blog draws an ideal comparison between Google Analytics Standard and Google Analytics 360.

Data Collection:

You may want to know the number of server calls the tools can handle for data collection. Custom dimensions/metrics help enrich your data, the number of views, properties, and segments you get to apply to the collected data. The free version is most suitable for digital businesses in their early stages. The ones that are just about starting their digital journey.
Businesses with a team of above 10 people in digital, spending a considerable amount (>$1mn per year) on customer acquisition should get Google Analytics 360. The data collection size & freshness limits are more suitable for small start-ups in the case of Google Analytics Standard.

Importing advertising and other data:

 

No analytics tool lives in a vacuum and all are expected to handle advertising tools. It is highly expected of such tools to be able to manage advertising campaigns. Know how your analytics tool handles Google stack integrations like Google AdWords, AdSense, and DoubleClick. Because this is the key to how most companies advertise today. Google commands 55% of the global search market. Our experience suggests that all of our clients use search engine marketing. This is why the connection to search engine data sources is hard to ignore. GA 360 enables connections with the DoubleClick platform which is a unique strength of the Google stack’s offering.
Such integrations bring value owing to their innate nature of breaking the silos of data & converting to a single view of a customer. This helps digital businesses to harness value by measuring customer acquisition. Also, businesses can focus on activities that newly acquired customers perform.

Reporting:

 

The sort of reports you get from each kind of tool is vitally important. Custom reporting will always be a quintessential asset for businesses. Adding value to it is the ability to see, at a glance, reports across multiple mediums and devices. Reports based on Custom Funnels and Machine learning algorithms are available in Google Analytics 360. This makes Google Analytics 360, a product that is more actionable. These two features help understand attribution & Customer Journey in a detailed way to optimize marketing decisions.

Sampling:

 

Sampling & APIs limit the usage of the Google Analytics free version. This holds true for small digital businesses or early-stage start-ups. Businesses serious about measuring their media spending must consider opting for Google Analytics 360. Measure the response of customers accurately, and in a meaningful way.

Application programming interfaces (APIs):

 

APIs as they are commonly referred to, are important when you’re implementing them across enterprise accounts. Consider you want to administer 10000 users of an analytics system. Now, looking at hundreds of filtered views report suites or profiles is a total nightmare. Considering the fact that you need to administer everything through a single interface. Thankfully, all tools have open APIs.
Sure you can query standard reports and data extracted from other tools for instance. But an added advantage is that you can configure your systems and access rights. If there’s any limit to the offered solution, we’ve observed, that it is that of a quota limitation. Across GAP’s real-time data API there is a quota limitation that demands higher efforts in configuring queries.

Service:

 

Google Analytics 360 and Google Analytics come with a 99.9% service level agreement (SLA) on data collection. All the tools have online customer support available during working hours. Usually, the SLAs say that any query made to online support is answered within 24 hours. Since services & consulting are bundled into the pricing, the client may not have to budget separately for the servicing needs. This also makes the overall Total Cost of Ownership (TCO) a very competitive rate.

Google Analytics Pricing:

 

For Google Analytics Standard users, the consultation rates are mentioned above. But since Google Analytics 360 users have a wider scope and Google Analytics 30 pricing is tier-based, the cost for GA360 may vary based on requirements.

Get in touch with us to avail of Google Analytics Standard consultation or Google Analytics 360 license, and consult with our GAIQ Certified consultants to make the most out of your available data.

Google Optimize 360 vs Optimizely vs VWO: Through an Infographic

infographic

There are few popular A/B Testing and Personalization tools in the market that truly stand up to the users’ expectations and provide a complete platform to plan, execute, test and monitor experiments. Enhancing user journey is a talk of the town these days and Google Optimize 360 is the newest entrant making it’s way up to businesses who are on the lookout to personalize their users’ journey on a website through targeted testing. In this post, we have drawn up a comparison between Google Optimize 360 and two other historically popular A/B Testing tools Optimizely and VWO. We hope this helps you understand these tools a little better and gives you an insights as to what Google Optimize 360 can do for you.

For any queries, further assistance or inquiries, please leave a comment in the section below and we’ll get back to you. Click here for an in-depth understanding of the Value Propositions of Google Optimize 360 and our Service Offerings for A/B Testing and Website Personalization.

Sources:

  1. http://rich-page.com/website-optimization/which-low-cost-testing-tool-google-content-experiments-vs-optimizely-vs-visual-website-optimizer/
  2. http://www.blastam.com/blog/google-optimize-360-vs-optimizely-royal-testing-rumble
  3. https://vwo.com/blog/what-you-really-need-to-know-about-mathematics-of-ab-split-testing/
  4. https://vwo.com/knowledge/ab-test-mobile-apps

Top 5 UX Trends To Boost Website Personalization Services

User Experience

Personalization is when you are put into a bubble that is more like your personal universe.

Personalized UX makes the design of a product feel insightfully alive. There are a lot of benefits for businesses to personally tailor a user’s experience.

Offering your users an easy-to-browse and easy to navigate websites, enhances their experience. Businesses benefit when users view items of interest. It results in better conversions and a higher grade of user satisfaction.

Benefits of Implementing Website Personalization:

  • Personalizing user experience helps website owners to target correct audiences. Engage authentic prospects and achieve a higher conversion rate.
  • Engaging real prospects leads to an increase in sales and thus an increase in revenue.
  • Gaining frequent visitors and create a loyal customer base and improve user retention.
  • Delivering a more human interaction which the customers enjoy better

Following are some of the rising UX trends that can work wonders for your website personalization and user journey:

1. Location-based Personalization

When the user’s experience is tailored according to location, the results are enriching. Create websites according to local tastes, interests, cultures results into better conversion.

Example: Coca-Cola is a globally known beverage brand. They personalize their website according to the countries they are marketing in. The Chinese website uses elements that appeal more to the Chinese, i.e, animations and graphics. Also, the language displayed on the website tends to be the one they are most receptive to.

 

UX trends

2. Time-based Personalization

What could sell better than catering to customers in their hour of need? Just like location-based personalization, you can also implement time-based website personalization.

Example: McDonald’s US website updates every day according to the day of the hour. In the morning, they have a breakfast menu on display, whereas in the lunch time they have meal menus. In the time between these two, snack menus are on display. Thus, if a user opens the website at different hours of the day, relevant menus are on display for them.

 

website personalization

3. Cross-Selling

By definition, cross-selling is convincing your users to buy higher denomination items than they are looking for. This way more items get sold then the customers are expecting to buy. Introducing combo offers, like ‘shop-the-look’ helps intelligently increase revenue. Cross-selling is less risky than upselling* since in the end customer is bound to at least buy the base product.
Upselling is when you convince the user to buy a better & more expensive product in the same category than what they are actually looking for.

Example: StyleCracker sells styling packages in different budgets. This paves a way for them to earn more revenue. The personalization for the users come into play when they select what their individual packages will contain.

 

time based personalization

4. Role-based Personalization

When a user logs in or goes through your website, a general persona is created. This persona is then shown specific personalized content. Based on the results, the same content is displayed to others users who match the persona type. In other instances, users are pre-grouped based on certain characteristics previously known. Advanced personalization is implemented based on these pre-groupings. A lot of intranets work on role-based personalization.

Example: Ving is a platform, where an onboarding user is asked about the role he works for or is interested in. Based on the selected role, the homepage and services shown are relevant to cater to his specific needs.

 

role based personalization

5. Enhanced Shopping Experience

Certain businesses personalize in a non-direct way to their users. The process can sometimes become creepy to the users, thus it is important to do it in a nonchalant way. The users should not feel that their each move is being watched upon.

Example: A recent order on a popular beauty product eCommerce site Nykaa.com was canceled.The reason for canceling was impulsive shopping by the user. The website used this information to personalize a section of its homepage. The said user was shown similar items to the one which was in the canceled order earlier. This is a very smart way to re-target a missed conversion and have a chance to convert the future visits to revenue.

 

location based personalization

Conclusion:

Website Personalization is an approach business can implement right away. This will allow them to experience an increase in revenue as well as build a loyal customer base. The users will utilise the websites better by receiving relevant content and dealing with less noise. Personalization thereby becomes necessary in today’s era to provide a compelling user experience.

Explore interesting personalization use cases across different domains with our upcoming webinar. Grab the chance of interacting with subject matter experts and get real life insights on implementing website personalization.

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