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Case Study: Assessing the Impact of iOS14 for Koch Comm

The Challenge 

We’re in the business of setting our clients up for continued success, so when something throws a wrench in their data measurement and reporting processes, we’re the first ones to notice. The wrench in this scenario: iOS14.5.  

Apple’s latest update brings with it a host of data collection restrictions that promise to throw digital marketers for a loop, impacting their ability to collect third-party user information. We knew the first step to helping our clients overcome this hurdle would be to assess the update’s potential impact on their marketing efforts so they could make educated strategy decisions moving forward.  

That’s exactly what we did for Koch Comm, a digital, public relations and creative agency located in Oklahoma City. 

The Process 

To assess how iOS14 could impact the 24 Koch Comm clients we provide reporting for, we started by reviewing their Facebook and Instagram advertising data. By identifying the campaigns whose objectives were reliant on third-party user information, we isolated the ad sets that could potentially be affected by iOS14’s data collection restrictions.  

Next, we analyzed their Facebook and Instagram audiences by device and operating system. This revealed the proportion of users within clients’ engaged audiences that were using iOS devices according to Facebook Business Manager.  

Our final step was to use Google Analytics to conduct a robust assessment of the client’s website users’ activity. Using the Browser & OS report combined with source and medium as secondary dimensions, we generated a full breakdown of the operating systems being used by each client’s Facebook and Instagram audiences.  

With that filter in place, we could then see how iOS users were interacting with the clients’ websites, providing essential insights into how strategies may need to be adjusted. For example, if a client’s Facebook iOS audience engagement metrics (such as time on site and pages per session) were high, that would indicate that the paid media team would need to strategize an effective way to reach them that wouldn’t rely on pixels.  

The Results  

Analyzing Koch Comm’s digital advertising through the lenses above laid the foundation for us to create comprehensive dashboards that unified their iOS-affected data, both past and present, enabling them to clearly see how their marketing efforts are presently being impacted by iOS14.  

With individualized visualizations for each client, we created an analytics infrastructure that will enable Koch Comm’s digital marketers to derive key insights and adjust their strategies as necessary moving forward.   

Once those dashboards were built, we consulted with Koch Comm’s paid media department to determine which ads would need to change based on the data currently available. Knowing that iOS14’s impact is a moving target and that we’d need more data before advising longer term adjustments, we created unique plans for each client to refer to once they start to see its effects. 

The Takeaways 

At the outset of a potential crisis, it’s tempting to give in to a knee jerk reaction, pointing the firehose before seeing the flames. Don’t do it. Yes, iOS14 is going to impact your digital advertising, but the extent of that impact should drive your strategies, not the other way around. If you adjust your advertising tactics before seeing the way iOS14 is affecting your results, you risk muddying your data and harming your marketing efforts more than helping them.   

The moral of the story? Sometimes the best thing to do is to gather all your data and analyze it before moving forward. With the active visualizations we created, the Koch Comm team has everything they need to do just that.  

Need a hand wrangling your data in the wake of iOS14? Let’s chat – schedule a consultation today.   

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How to Thrive Despite Losing Third-party Data

iOS 14.5 was only the beginning of a new data challenge. In the name of privacy concerns and profits from data hoarding, reporting will only become more challenging. Most of the discussion has been around the potentially devastating impact on targeting capabilities. We see additional consequences from the move toward a third-party pixel-less world. Primarily, the lack of data availability in native advertising platforms is of the utmost concern.

Primary Sources of Truth

We believe in the diversity of native reports within advertising and marketing platforms. The idea of a single platform accurately collecting all the data you need to make data-driven decisions is a myth. However, primary sources of truth that give a marketer the ability to collect and structure their data are crucial in combatting data loss in a pixel-less world.

For most organizations, primary sources of truth include a first-party party website data collection tool (Google Analytics) and a CRM, POS or equivalent customer data platforms. The key to unlocking a successful reporting strategy is getting your most important success metrics in these two platforms and connecting the data together.

For example, if a business receives a contact form conversion that turns into revenue at some point, how does that form conversion tie the marketing effort to the conversion? From there, how does it tie to the user record in the CRM? Many advertisers haven’t worried too much about these connections since they rely on native advertising platforms to tell them the number of conversions, but lead quality and revenue generated is often untied to sales data and unreported in marketing dashboards. At OROS, we’ve always felt that was a flawed approach to telling a complete data story and we feel reinforced in our belief since many advertisers are reporting a loss of reporting data in native advertising platforms as a result of iOS14. Marketers should be able to confidently say which leads they drove and what the value of was to the organization.

Apple’s crackdown on third-party data collection and usage makes getting users into first-party data tools of the utmost importance.

Tie Marketing Data to Website Data

So, our goal is to tie marketing efforts to valuable website activity and then tie that activity to captured revenue in a CRM, POS or some other data platform. Let’s start with marketing-driven activity on a website.

Out of the box, Google Analytics struggles to properly attribute traffic and doesn’t provide enough data beyond the channel. We don’t just want to know that Facebook drove a conversion. We want to know which campaign, post type, ad objective and content drove the conversion.

It’s no secret that we love UTMs. We have a rule at OROS- all inbound links to a website need a UTM. It’s the foundation of successful data collection for marketers. Since Google Analytics is a first-party data collector, it will see little changes in the way it collects and organizes your website data because of iOS14, especially where UTM codes are concerned.

Fill out the form to download a guide to building UTMs

Once your UTM process is in place, you now have a tool to better organize your data within Google Analytics. It’s a process that must be followed 100% of the time, but the payoff is structured and organized data that you can trust. The next challenge is tying that website behavior data to leads within your data platform.

Tying Website Data to Customer Data 

CRMs like HubSpot and some eCommerce platforms can read UTM parameters to help tie website behavior to customer data. Some POS systems in-store have a Google Analytics integration. However, we often encounter industry-specific customer data systems that don’t tie to UTM codes or Google Analytics. There’s no one-size-fits-all solution to connect website data to user data across your two primary sources of truth, but a little bit of technical implementation will help connect two dead ends.

For example, we work with a company that uses Gravity Forms on their WordPress website. Gravity Forms generates a unique ID for every form conversion. It stores that information along with the entry in WordPress. In addition, it adds that unique ID to a snippet of code that fires after the form is completed. With a little bit of work in Google Tag Manager, we pass that unique form ID to Google Analytics which allows us to tie the form conversion to the marketing effort (UTM) while the sales team can see that unique ID in their CRM.

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We believe in using all data from all sources to help analyze your efforts and make data-driven decisions. With the proper data collection and organization process, and a goal to get everything in your primary sources of truth, the loss of third-party pixel data doesn’t have to mean your reporting takes a hit.

Want to learn more about data collection and organization?

We’d love to help you develop a process to tie marketing data to both website behavior and customer data.

Let’s talk!

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