Articles Home | New Era Technology

GA4 transition meltdowns, and how to deal with them

Sep 29, 2022

For many, the approach of the Google Analytics 4 takeover brings nothing but dread. And we get it. Although GA4’s new insights and methodology can be an incredible boon to businesses that want to improve their user targeting, it’s a huge adjustment, and there’s no simple solution. Below, we cover the most commonly voiced pain points of a GA4 transition and offer ideas on how to adapt, so you can keep your team from burning their laptops and heading for the hills. I can’t export my data from UA into GA4. Transitioning from Universal Analytics to Google Analytics 4 isn’t a simple, one-to-one migration. Why? Because GA4 operates on an entirely new user-based model. UA uses a session-based model that collects data from actions taken by the user within a particular session. GA4, on the other hand, relies on an events-based approach: meaning, instead of looking at goals per session, you’re looking at events per user. This allows us to track user behavior across multiple devices and platforms. While this means better insights into the target audience, it also means migration isn’t as easy as just importing your UA data into GA4. You’ll need to audit the metrics you’re currently using and rethink them in light of GA4’s new data tracking methods. Get tips for GA4 migration without the migraine >> My views are no longer available. If you’ve spent any time in Google Analytics 4, this loss may be the most jarring discovery you’ve made. Raw, test, or official — all the most commonly-used views are gone. Before you have a panic attack, breathe into a paper bag and read on. GA4 doesn’t use views because the interface is set up for you to create custom data filters. For those of us that aren’t data experts, this can seem daunting at first, but it gives the opportunity for you to track the information that’s going to be most valuable to your company. Here are three things you should know about data filters: The filters you create are permanent. This means you should be certain of what you’re tracking before you set up a filter. Use “test mode” to preview your filtered data before you set up the filter for good. You can set up to 10 filters. You likely won’t have to worry about maxing out your filters, but again, do some internal testing to prioritize what filters you need so you’re not taking up real estate with a data view that’s not going to provide long-term insights. You can filter out internal IP addresses. No more worrying about throwing off metrics every time you test a lead form! You can set data filters to exclude your team’s activity so you’re only seeing what’s happening from external visitors. Learn more about building custom reports in GA4 >> Bounce rate is changing. Bounce rate is one of the elite metrics that many look to as a gauge for page effectiveness. But the truth is, bounce rate may not be as helpful as we’ve believed it to be. The GA4 transition doesn’t quite do away with bounce rate, but you’ll find the metric in a different form. Instead of a 1-for-1 replacement of UA’s bounce rate, GA4 provides a different way to measure page effectiveness, in the form of “engaged sessions.” So, instead of tracking who comes to your site and doesn’t interact, it measures those that come to your site and do interact, and monitors which actions they take. Thus, you can calculate bounce rate by looking at it as the inverse of engagement rate. However, bounce rate is much less insightful than engagement rate, so although the drastic change may be awkward at first, we’re confident that most users will warm up to this method and even find it more beneficial in the long run. The GA4 user interface is difficult to use. For users who’ve spent the past 15 years using UA’s out-of-the-box reporting, GA4 can be an upsetting experience, to say the least. UA’s pre-defined reports provide valuable data, but GA4 has a serious leg-up over its elder counterpart: custom reporting. You can recreate most of UA’s reporting by creating custom reports with GA4’s Exploration tool. What this means is, you’re not getting less functionality — you’re getting more ways to view your data, and you can tailor them to your business and desired outcomes. Will that make the interface any less weird or uncomfortable? Sadly, no. But with some training and a little practice, users will acclimate to the change and begin to see the benefits of custom reporting and the far-more-accurate data it provides. Adapting to the wide world of GA4 Although GA4 will take some getting used to, the new model gives a simultaneously holistic and granular view of user behavior that offers better insight into your target audience — and how to reach them. If you’re ready to take the plunge into GA4 but still apprehensive, our Google Analytics 4 Survival Guide can give you the tools and tips you need to start out on the right foot. Or, if you want a real person to talk you through the process and help you get set up, talk to a Fusion Alliance analytics expert today. Get the GA4 Survival Guide >>

Cage Match: Google Analytics 4 vs Universal Analytics

Aug 24, 2022

Marketers at mid-market companies are going through the stages of grief over Google Analytics 4. Some are still in denial (“Whatever, we have Universal Analytics until July 2023, and they will probably extend the deadline.”) and others have moved on to anger (“Google Analytics sucks!”) If you’re actively wrestling with the transition, you’re probably squarely in that cage match stage. We get it. Our team has been helping businesses with GA4 implementations since it first rolled out, and making the switch isn’t easy. Along the way, we’ve found four key matchups that might help you avoid getting KO’d by your Google Analytics 4 transition. Google Analytics 4 vs Universal Analytics Google Analytics 4 Universal Analytics Round 1: Tracking Users Events Sessions Goals Round 2: Data Engagement Bounce rate Round 3: Interface Low clickability Drill down analysis through setting up secondary dimensions High clickability Drill down analysis through ad hoc clicking in results Round 4: Reports Explorations Embedded reports Round 1: Tracking In Universal Analytics, we track metrics by sessions tied to behavioral goals. Here’s one common scenario: Patricia visits your website home page on her phone one day and bounces. A few days later, she scrolls an article from your site on her desktop and bounces. The following week, she reads a case study on her iPad while waiting in the carpool pickup line and fills out a contact form. At this point, UA documents three sessions, and one goal achieved. But is that the best way to document what actually happened here? Google thought not, and pivoted. Google Analytics 4 tracks metrics according to users and events. Using the same scenario, GA4 documents that one user took four actions on your website: home page, article, case study, form fill. You see the progression, and the impact your site has, at a more granular and yet more holistic level. With GA4’s user-based data model, you see what users do when they interface with your brand — regardless of the device they use, location they come from, or platform they visit. Instead of goals per session, you’re now able to see events per user. Round 1 winner: GA4 Round 2: Data When July 2023 rolls around, a lot of people are going to be caught by surprise when they can’t just upload their Universal Analytics data directly into Google Analytics 4. Next, they will try to export their data from UA to GA4 and that will…also not be possible. Sorry, folks, it simply will not work. The data models are different, and Google has not laid down a path to make a simple data port happen. How can you counter that punch? Your best move is to get started in GA4 as soon as possible, so you can begin to collect new data and understand how those metrics will influence your overall reporting. And the sooner you start collecting GA4 data, the sooner you’ll be able to use it in your year-over-year metrics. Because the data points aren’t the same, your old UA data won’t be of much use in year-over-year comparisons. Learn more about how switching to GA4 impacts YOY reporting >> The shift that impacts almost everyone changing over from UA to GA4 is the shift in bounce rate. Long used as a benchmark for user engagement, UA’s bounce rate metric didn’t make it to GA4 in quite the same format. Instead, GA4 measures engagement in more absolute terms. GA4’s new “engagement” metric takes the guesswork out of bounce rate. Instead of saying “people are leaving immediately, probably because the content wasn’t relevant or the load speed lagged,” GA4 tells you how many people stay on the site long enough to take another action. Before, a low bounce rate could mean someone read your entire blog archive going back to 2007 OR that they had 39 tabs open for a week. Now, you’ll know if a site visitor was idle or active — giving a clearer picture of whether or not they were truly engaged. The bottom line is that GA4 offers a little more accurate view of engagement, but your UA to GA4 bounce rate numbers won’t match up. Your stakeholders are still going to ask about it for a while, and that’s going to be annoying to handle in reporting meetings. Round 2 winner: draw Round 3: Interface If you’re a long-time user of Universal Analytics, you’re probably used to being able to dig into your data as the mood seizes you. Wondering which URLs drove the most traffic last month? Click, click, answer. Want to find out how you got so many hits from Denmark yesterday? Click, click, answer. Puzzled as to why your website suddenly ranks for terms like “can horses drink beer” (or maybe that’s just us)? You get it. The UA interface’s high degree of clickability that enables ad hoc analysis. Not so with Google Analytics 4. When you log into your dashboard, you’ll see a similar view, but all of your clickability is gone. No digging into traffic cohorts. No in-the-moment drill-downs. But all is not lost. If you click the plus sign on a measurement in GA4, you can set up secondary dimensions. So if you want to check which referral URLs are driving traffic, you can build that query in. Maybe you want to set up secondary dimensions to narrow down data here and dig in deeper there. With some time and patience, you can eventually get to a view similar to something you might have seen in UA. But your “click, click, answer” days are over. Sorry about that. Round 3 winner: UA Round 4: Reports We know people who have used Universal Analytics their entire working lives and never built a custom report. If you open your UA account, you’ll find dozens of out-of-the-box reports to meet your needs. While most mid-market to enterprise businesses do have some custom UA reports, they certainly aren’t required to use the tool. Now open your Google Analytics 4 account. Where UA shows you report after report to help you review your website health, traffic, campaigns, networks, landing pages, and so forth, GA4 shows you an overview screen and…two reports. Two. If that prospect leaves you feeling like you got the wind knocked out of you, you’re not alone. Once you get over the inability to migrate your data from UA to GA4, you’ll need to plan to migrate your reports. And that’s going to be a bigger problem for a lot of medium- to large-sized businesses. Take a deep breath and start by cataloging every report you use in your UA account. Map out exactly what you measure, and how the results are displayed. Note how you use the results, and which business units rely on the outputs for operational and strategic decisions. Then, start building custom reports in GA4 to answer those needs. Learn more about building reports in GA4 >> No, it’s not going to be a one-for-one replication. Yes, it’s going to be time-consuming and frustrating. Depending on your timeframe, budget, and bandwidth, you might need to look into partnering with a third party to get this work done right and in time for the switch. On the bright side, though, this process may alert you to reporting you’ve used out of habit that wasn’t exactly right. Building new reports offers you a fresh start, and a chance to really understand what your analytics needs are, and how data can help drive better decisions across the business. Round 4 winner: draw Spoiler alert: GA4 wins Ultimately, the Google Analytics 4 vs Universal Analytics match isn’t a fair fight. Come July 2023, Universal Analytics is out for the count. But what you choose to do in the meantime could mean the difference between emerging victorious or limping out of the ring with broken ribs (proverbially speaking, we hope). Your approach to the GA4 transition could make all the difference. Increase your odds of GA4 success by checking out our (cage-free) resource: 6 steps to a successful Google Analytics 4 migration.

How to choose the best CMS

May 20, 2022

A content management system (CMS) is the tool that companies use to manage and display content marketing. Depending on where you are in your digital transformation — and, more specifically, in your digital marketing journey — you might think of a content management system (CMS) as the place you put the copy for your website or the platform you use to launch email campaigns. If you’re like most people, you think of a CMS in narrow terms of what you’ve seen one do before. That view might have served your company well for years. It might work today. But, as you think about the ways your company might scale or shift over the next several years, in a digital world that changes more and more rapidly, it might be worth giving your CMS another look. Why your CMS matters >> Choosing a CMS: 8 things to bear in mind Whether you’re in the market for a new CMS to support an upcoming initiative, or you simply want to make sure your current solution is still serving your goals, we’ve identified eight key factors to think through as you identify the best CMS. 1. Content complexity Because the primary job of your CMS is handling your content, be sure that the platform you’re using or choosing can handle the complexity of your content landscape — both current state and where you’re headed in the near-term. Part of the CMS selection process includes envisioning where you want to be in the future. Technology advances fast, and customer expectations are not far behind. As your target audiences incorporate technologies like wearables, voice assistants, and AI-enabled interfaces, your content may need to evolve to reach them. While your content may not be complex today, will that direction remain sustainable for your business? If your content primarily exists on a single website, you may be able to use a simpler CMS. But if you use content across multiple interrelated sites, reuse content across digital properties, or support video, audio, or other media, you might need a more robust system. Planning ahead for a flexible, scalable solution may make more sense in the long run. Get help with your content marketing strategy >> 2. Storage needs Another factor to consider when choosing a CMS is storage. Once again, the types of content you need to support and the diversity of platforms where you need to display it play a critical role in this decision. If your internal policies or regulatory requirements require the CMS to be your system of record for auditing purposes, your solution will need more capacity than if storing legacy content archives elsewhere is a possibility. Depending on use cases, volume, and user experience needs, some media-rich content such as videos could be stored on an external channel like YouTube or Vimeo. Be sure to get internal input before making that decision, however, as UX for embedded video may be compromised depending on how your digital properties are structured. For organizations that rely on printable content, such as brochures, one-pagers, and other PDF content, interfacing a document management system with the CMS might make more sense than storing a large content library directly in the CMS. Storage needs can also be influenced by your organization’s cloud strategy. Where your business intends to host the CMS — on-prem, in the cloud, or with a SaaS provider — matters when it comes to your storage decisions. Cut through cloud complexity >> 3. Workflow automation Regardless of the size of your IT and marketing teams, smart workflow automation can be a force multiplier. As you evaluate your current CMS and move toward choosing the right CMS for your business, think through how that tool may impact existing workflows. If your content creation, editing, review, and publication process has many steps, automating some parts of the workflow probably makes sense. Some CMS solutions can handle step-by-step hand-offs, which frees your team from the need to shepherd pieces through to publication — and eliminates the risk of a task being dropped or forgotten along the way. 4. Ease of use When it comes to CMS selection, functionality requirements balance against ease of use. If you don’t have on-team resources who can handle in-the-moment development or ongoing maintenance, you might need to opt for more of a What You See Is What You Get (WYSIWYG) content editor so that your marketing team has the flexibility to create needed assets in a timely manner. To weigh your needs for self-service content creation, think about which team members might be entering, editing, and approving content, and what skillsets might be required to use and maintain your chosen CMS. How your team is structured, existing competencies, and the ability to upskill or cross-skill those team members can also be important factors in your decision. 5. Ease of integration While there may be an edge case or two of a CMS operating as a sole solution within a business, chances are you need one that can function as part of an existing or evolving tech stack. As you choose the right CMS for your business, take the time to map out all of the other marketing, sales, project management, and other business-critical technologies you’ll need it to interface with. Some examples of tools you’ll need to interface with a CMS might include: Customer relationship management (CRM) Email systems Social media marketing Marketing automation Project management Forms Analytics and data dashboards Most of these tools will either send data to or receive data from your CMS, so once you’ve identified the tools, systems, and platforms that need to connect with your CMS, you’ll need to determine if APIs are available or if you’ll need custom API development. Different CMS solutions offer different options for built-in integrations, and some make it easier to customize integrations than others. Find out more about API strategy>> 6. Amount of customization required Customization concerns extend beyond API options to encompass everything from the user interface, workflows, security, and functionality of your CMS. When it comes to choosing the best CMS, customization is a Goldilocks evaluation. You don’t want too little or too much. If your CMS requires significant customization or workarounds to achieve basic customization, you may be introducing too much risk. It might be easier to find a CMS that more closely fits your needs. On the other hand, if your CMS restricts code access and doesn’t allow enough customization, you could find yourself locked into a solution that holds you back when you need to scale or change. Instead, look for a CMS that hits the “just right” balance between meeting your needs and allowing creativity and control over the customer experience. 7. Costs When it comes to technology, the sticker price rarely equals the actual cost of the solution. To get a more accurate view of cost when you’re choosing a CMS, factor in: Ongoing subscriptions if you choose a SaaS CMS Licensing fees if you choose a proprietary CMS software External vendor time if you choose an open-source CMS and don’t have a dedicated development and maintenance team Internal team efficiency and infrastructure if you choose to handle maintenance, security, and development in-house 8. Service Related to overall cost throughout your CMS lifecycle, remember to think through your service requirements — both in terms of implementation or upgrade and the ongoing support you’ll need. Your CMS vendor may be a great partner for implementation or might suggest that you choose a third-party implementation team. As you think about implementing or upgrading a CMS, also consider: What kind of data migration support you need The level and duration of support you’ll require for the shift If you need help with cut-over planning The time and resources you’ll need for system testing Training needs On-site support Choosing a CMS: next steps As you consider how to choose the best CMS for your business, remember that well-defined needs make for better-fitting solutions, and don’t try to tackle the requirements, system audit, and vendor selection process on your own. Getting key stakeholders involved early on in the process can help you make better decisions and give you the perspective you need to choose the right CMS. At a minimum, that group should include leaders from IT, marketing, and sales, but you may also want to include customer service, data, and key business units as well. If you have the right people at the table, a half-day workshop could be enough to set your project up for success. Key points to cover in that sort of meeting include: Getting a big picture view of how the CMS will fit into your existing technology ecosystem Aligning goals and requirements across the business Outlining a budget Designating project owners Agreeing on how to prioritize requirements in light of available resources Next, your project team can evaluate potential solutions against the agreed-upon criteria. You might use your organization’s vendor selection matrix, or develop a new one to fit the project. Finally, plan for the transition. If you aren’t sure what that might entail, consulting with a team of experts can make sense — saving you significant time and expense. Ready to get started? We help organizations navigate the process of choosing the right CMS from start to finish, but we’re also happy to jump in with a quick consultation if you’re feeling stuck. Set up a 30-minute consultation >> Learn more about martech strategy >> Find out how a CMS fits into your overall customer data strategy >>

Make your Google Analytics 4 migration easier: 6 steps to a smooth GA4 transition

Apr 20, 2022

Although Google plans to phase out its Universal Analytics (UA) tool in favor of Google Analytics 4 (GA4) in July 2023, if you’re like most companies, making the switch to GA4 isn’t high on your priority list. That might be a mistake. Because UA and GA4 operate from very different frameworks, your GA4 migration isn’t going to be a quick and easy one-for-one shift. Companies will find significant differences in how data is tracked and measured, which will impact existing tags, metrics, KPIs, and reports. These differences take time and planning to work through successfully. Making the switch to GA4 might be something you can handle with your in-house data, IT, and analytics subject matter experts. But depending on the complexity of your current UA setup and the role analytics plays in your digital strategy, you might need a more strategic plan to get the GA4 transition right. How to switch: setting a realistic roadmap for your GA4 migration 1. Audit your current Google Analytics usage and metrics 2. Stand up your new GA4 property 3. Map your previous metrics to new GA4 options 4. Create, customize, and integrate dashboards 5. Train and explain to get your team on board with the change 6. Iteratively improve Step 1: Audit your current Google Analytics usage and metrics Before you start your GA4 transition, you need a clear view of what you’re collecting now, and where and how you’re using your UA outputs today. First, list the metrics you track in UA. Survey business units with access to find out how your organization uses those metrics, particularly where metrics influence KPIs. Your audit should also include the other systems and tools that connect to your UA account, such as Google Ads, Google Search Console, Looker Studio (formerly Google Data Studio), and the like. Be sure to map functionalities, customizations, or enhancements your organization has developed for your UA instance over time. You may not be able to reproduce them exactly in GA4, but you’ll need to understand the use cases so you can replicate the results. The audit may also be a good time to evaluate the processes your company has in place around tracking, measurement, and analytics in general, as well as the dashboards you use. Any dashboard that relies on UA will shift with GA4, so it makes sense to take the time up-front to identify any other improvements or efficiencies that might advance your business goals. Step 2: Stand up your new GA4 property Google provides detailed instructions for setting up a new GA4 profile and connecting it to your website. Once your profile is established, begin connecting the other systems and tools you identified in Step 1 of this article. You’ll also need to convert your UA goal metrics to GA4. In some cases, this is as simple as figuring out different naming and labeling conventions – for example, if you tracked Signups in UA, you’ll set up the same thing as Conversions in GA4 – while in others you might need to create something new in GA4 or add custom functionality. Because GA4 is still evolving, new developments and features are added regularly. Look for ways to replicate the customizations you rely on in UA and be aware that you might need third-party help to identify or develop workarounds. Depending on the complexity of your current analytics, customizing your GA4 account could take considerable time, so be sure to leave enough of an overlap with UA in your roadmap and timeline. Step 3: Map your previous metrics to new GA4 options Allow 3-6 weeks for your new GA4 instance to collect and measure data before you compare it to your UA results. Due to the significant differences between UA and GA4, be prepared to see differences in the type of data collected and the ways key factors are measured. You may not be able to compare the results in a 1:1 fashion, but mapping out the differences can help you to refine your customizations and ensure that you have time after your GA4 migration to mitigate or explain discrepancies. Your team is probably used to analyzing UA data to determine the reasons behind significant changes: launching a campaign, a spike in bot traffic, differences in browser and device use, and so forth. The same factors impact GA4 information. By comparing your metrics over a few months, you’ll be better prepared to understand those impacts when Google sunsets UA. Step 4: Create, customize, and integrate dashboards With a robust internal report builder comparable to more sophisticated third-party tools, GA4 offers more options for business reporting, automated reports, and dashboard creation. While the enhanced functionality will be helpful, you’ll still need to analyze and customize every dashboard and report you rely on, whether basic internal reports or external tools like Looker Studio, to map to GA4 data tracking. Remember that the UA to GA4 transition is not a 1:1 switch. Not all UA measurements are available in GA4 and others can be extracted but require updating and customizing your reports.rs can be extracted but require updating and customizing your reports. KEY NOTE: Since GA4 is still in beta, be sure to keep an eye on the updates Google continues to make to features and functionality. As recently as July 2022, Google announced conversions, bounce rates, and UTM parameter tracking — none of which were originally part of the beta platform — will be a part of the new update although not in exactly the same UA form. At this stage, comparing reports between UA and GA4 for a longer period of time will be helpful. You’ll see measurement differences as GA4 becomes your new source of truth but look for indications that trends or analyses aren’t mapping between your profiles. That could be an indication that you need to do more in-depth work on data collection, goals, and reporting. Because you will not be able to access your historical UA data after December 2023, you must build in time for this comparison sooner rather than later. Once Google officially sunsets UA, you won’t be able to see your UA reports in the dashboard or access your historical UA data via the API. Build in time to do your analysis before the end of 2023 – and consider downloading your UA history to keep as a reference. Don’t rush this step. Being able to trust your data is critical, and while you will see differences in numbers during your GA4 migration, it’s important to ensure that you replicate business reporting requirements so that your metrics yield reliable and actionable insights. Step 5: Train and explain to get your team on board with the change Throughout the process of migrating to GA4, keep your end-users informed. Effective change management requires more than a heads-up about a dashboard change. Your training and communication plan should include: An overview of the timing and requirements associated with the move from Universal Analytics to Google Analytics 4. A tutorial on new vocabulary, especially as it relates to changed metrics. An explanation of how different metrics can be used to find the insights teams rely on. A tour of dashboard changes, with step-by-step instructions as needed. A presentation of the parallel reporting analysis you conducted during Step 4, so that your team understands trade-offs, replacements, what the new numbers mean, and how to conduct their analysis differently in the new GA4 environment. Step 6: Iteratively improve As GA4 continues to evolve, be prepared to continue optimizing your data collection, reporting, and dashboards to be sure you’re collecting accurate information and getting the most out of your data. And since GA4 is still a beta platform, it's important to stay on top of the new add-ons, features, and changes so you can adjust your measurement strategies accordingly. We are monitoring the news and sharing updates as they come. Follow Fusion Alliance on social media and/or subscribe to our Fuse: Marketing newsletter for more. Feeling stuck with GA4? We can help. Wherever you are in your switch to GA4, you can always get back on track. Our team helps organizations with end-to-end GA4 migrations, but we also step in for more tightly scoped problem-solving like custom integrations, dashboard creation, and training. Let us know what you’re dealing with, and we can set up a free discovery call to help you work through it.

Success in a cookieless future: What’s next?

Feb 10, 2022

Third-party cookies are a staple in a marketer’s arsenal and have been for decades. So, now that they are soon to be fully eliminated, marketing teams are panicking. Are we truly ready for a future without this key source of third-party data? While some companies have started to plan for a cookieless future, most still don’t have a baseline understanding of how their business will be affected — much less how to roll out a strategy to operate in this new world. It’s an important problem to solve for. And not all solutions are created equal. What marketers choose to invest in now could make or break their marketing campaigns for years to come. Why are third-party cookies being deprecated? The reality is that this has been a long time coming — Mozilla started phasing out third-party cookies in 2013. But now, Google is expected to phase out this online tracking tool in 2023, and Apple has moved their mobile device ID (the Identifier for Advertisers or IDFA) to opt-in only. Data privacy is a growing concern for consumers, and businesses must keep up. As consumer data gets collected and passed around between countless third parties, there are benefits to targeted marketing, but there are also more possibilities for harmful data breaches. And with multiple pro-privacy laws coming to fruition in the U.S. — such as the California Consumer Privacy Act and similar laws in Colorado and Virginia — organizations are being held more accountable for the data they own and use. Those who prepare for the change will stand out from the crowd by delivering relevant, timely, and insightful customer experiences compared to the one-size-fits-all experiences of the competition. Those who haven’t prepared will need to build that strategy quickly, all in an environment where there’s no clear replacement and simply less data available. So how do you do it? Here’s how you can still create a customized customer experience without third-party cookies. Leverage the first-party data you already have First-party data is often your best source for accurate and specific consumer information. Increasing first-party data has been a priority for marketers for years. According to a 2018 study, 85% of U.S. marketers said that increasing their first-party data is a high priority. And if you think about it, you’re probably already collecting data on your customers with different tools (e.g., email, social, etc). But there are better ways you can leverage first-party data. For example, look at your CRM and sales tools. When utilized correctly, you can evaluate customer data based on interaction reports, performance metrics, conversion rates, etc. Now is the time to look at the tools your company is already using and leverage them to reach the right audience with the right content. Personalize customer experiences with declared data Declared data, a type of first-party data, is one of the richest sources of customer information you can get. This is the data a customer gives you themselves in one-on-one interactions. This is the most accurate information about their desires and demographics. As Forbes explains, consumers are happy to share their information to get a more personalized experience. So don’t be afraid to ask for your customer data when it makes sense — it will be more important to have this declared data than it ever has been before. Utilize email marketing Although email marketing may not be new, it can still deliver ROIs of over 4,000%. It is a great channel for driving sales, nurturing relationships, and understanding your customers. Most importantly, it allows you to collect customer data through opt-ins — and then that data can be segmented by location, company size, position, etc. You can deliver unique offers and messages to each group for the best response. Businesses can use tools like HubSpot to build lists, segment communications, and create automated journeys. Email will become the go-to first-party data targeting solution as third-party cookies are being phased out. Your business can market to customers when they’ve left a website and utilize this information to create more customized messaging and experiences. In addition, you can utilize email lists within advertising platforms like Google Ads where subscribers can be retargeted and brought back to convert. A lot of what third-party cookies provided can be achieved with proper email marketing. Examine your partnerships for customer data exchanges You may be thinking about how you are handling third-party data, but how are your vendors preparing for the change? By leveraging the right technology, companies can safely and securely discover overlapping customers without exposing personal identifiable information (PII) or breaking data privacy laws. These insights alone can help you quickly assess the untapped potential of a collaboration. Now is the time to work with partners to begin exploring the safe exchange of data for the benefit of both parties. Overhaul your data management strategy This is a great opportunity to change the way you manage and leverage your customer data to develop targeting, execution, direct marketing, and customized experiences. This does require effort and investment from your organization (e.g., investing in a quality consumer data platform (CDP) or a great CRM system). Ultimately, your investment results in better control, a more customized experience, and a greater ROI. While CDPs and CRMs offer two different marketing and sales data management solutions with differing strengths, you don’t necessarily have to choose between them. It’s possible to use a CRM as an input and output channel to a CDP. And, in turn, use a CDP to provide a 360° customer view data set within the CRM. Choosing both a CDP and a CRM can deliver an amazing customer experience and tremendous business value: achieving high marks in customer satisfaction and providing integrated tracking and engagement. Learn more about the differences between a CDP and CRM, and what could work best for your organization.  By making the investment now in a new and improved data strategy, you can set yourself up for success in a world without third-party cookies. Look forward to the cookieless future The elimination of third-party cookies will fundamentally change digital marketing as we know it. But it also presents an opportunity to move away from an old standard and push your online marketing into the future. By maintaining a solid understanding of all the forces at play and updating your strategies to prepare for the transition, you can set your organization up for success and keep you ahead of your competition. Start now with our risk assessment workshop. Ready to see how this change is going to impact your organization? Register for our upcoming webinar, “Does cookie deprecation affect me? And 5 other key questions to ask before it’s too late.”

Insights

Insights

Articles about Martech Strategy

GA4 transition meltdowns, and how to deal with them

Cage Match: Google Analytics 4 vs Universal Analytics

There's no crying in baseball. Or in GA4.

How to choose the best CMS

A horse is a horse, and other martech myths

Make your Google Analytics 4 migration easier: 6 steps to a smooth GA4 transition

Success in a cookieless future: What’s next?

Ready To Talk?

About Us

Quick Links

Stay in Touch

Contact Us