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Buying Braze is a significant investment. The harder part is making sure the investment compounds. For companies that have already implemented Braze, the conversation has moved well beyond platform selection. The questions are more operational and commercial:<\/p>\n
Are we using the data we have effectively? Are our journeys actually influencing customer behavior? Are we measuring revenue and retention, or just engagement? Can the team scale personalization without creating more operational complexity?<\/i><\/p>\n
These questions matter because the potential upside is substantial. A 2026 Forrester Total Economic Impact<\/span><\/a>\u2122 study commissioned by Braze found a 457% three-year ROI<\/b> and less than a six-month payback for a composite organization using Braze and BrazeAI Decisioning Studio. The study also identified gains from improved conversion and retention, operational efficiency, and personalization.<\/p>\n But those numbers should not be interpreted as an automatic return from installing the platform. The real lesson is that technology creates potential; operating discipline turns that potential into value.<\/b> For organizations already using Braze, there are seven common gaps worth examining.<\/p>\n Most mature marketing teams have no shortage of customer data. The problem is turning that data into reliable signals that can influence a customer experience in real time.<\/p>\n A customer may have a purchase history, product activity, browsing behavior, engagement history, preferences, and demographic information spread across multiple systems. Braze can use many of these signals, but only if the underlying data architecture is designed properly.<\/p>\n That means asking questions beyond whether a CRM or CDP is connected:<\/strong><\/p>\n This is increasingly important as customer engagement moves from scheduled campaigns toward real-time, signal-based experiences. Braze\u2019s 2026 research identifies real-time data activation as one of the characteristics separating higher-performing engagement programs.<\/p>\n Open rates, clicks, conversions, and engagement rates are useful diagnostic metrics. They are not necessarily business outcomes. A campaign can produce an impressive click-through rate and still have little impact on retention, revenue, product adoption, or customer lifetime value. This is where organizations need to change the way they evaluate Braze.<\/p>\n Instead of asking: \u201cHow did the campaign perform?\u201d<\/b> Ask: \u201cWhat changed in customer behavior because we ran it?\u201d<\/b><\/p>\n For a subscription business, that might mean retention or renewal. For ecommerce, it could be repeat purchase or customer lifetime value. For an app, it might be activation, feature adoption, or frequency of use.<\/p>\n This shift also changes how journeys are designed. The KPI should influence the journey architecture, audience strategy, experimentation plan, and ultimately the decision about whether the journey deserves more investment. The 2026 Forrester study illustrates the distinction. Its composite organization attributed substantial financial impact to improved conversion and retention.<\/p>\n One of the easiest ways to create problems in Braze is to keep adding journeys. Individually, each journey may make sense. Collectively, they can create a confusing customer experience. Customers don\u2019t experience your campaigns as separate projects. They experience one brand.<\/p>\n That creates the risk of:<\/strong><\/p>\n As a Braze environment grows, governance becomes less of an administrative exercise and more of a customer experience requirement. Teams should periodically review their journey ecosystem and ask:<\/p>\n Which journeys still have a clear business purpose?<\/i><\/p>\n Where are customers entering multiple experiences simultaneously?<\/i><\/p>\n Which journeys can be consolidated?<\/i><\/p>\n Where are we creating operational complexity without creating incremental customer value?<\/i><\/p>\n Scaling the number of journeys is easy. Scaling the quality and coherence<\/b> of those journeys is harder.<\/p>\n Many organizations describe their marketing as personalized when what they are really doing is advanced segmentation. There is an important difference.<\/p>\n \u201cCustomers who purchased running shoes in the last 90 days\u201d is a segment. Understanding that a particular customer has recently browsed running products, has high engagement, is approaching their typical repurchase window, and is currently interacting through mobile creates a much richer decision context.<\/p>\n The future of personalization lies in moving from static audience definitions toward contextual decisioning<\/b>. That does not mean every interaction needs AI. It means the organization needs to use the signals available to determine what is most relevant for that customer at that moment. Braze\u2019s recent research reflects this shift, highlighting embedded decisioning and continuous optimization as characteristics of more advanced customer engagement programs.<\/p>\n Having email, push, SMS, in-app messaging, and other channels available does not automatically create an omnichannel experience. In fact, adding channels without orchestration can make the experience worse. A customer could receive a promotional email, a push notification, and an SMS about essentially the same offer because three different teams or journeys are operating independently.<\/p>\n True orchestration requires the channels to operate around a shared understanding of the customer. That means considering:<\/p>\n AI is becoming increasingly prominent in customer engagement. But there is a temptation to treat AI as the next layer to add to an existing marketing stack. That can be backwards.<\/p>\n AI decisioning<\/a><\/span> cannot compensate for poor event architecture. It cannot fix fragmented customer identities. It cannot make an unclear business objective clearer. And it cannot turn poorly designed journeys into a coherent customer experience.<\/p>\n The foundation still matters. Braze\u2019s 2026 research points to the combination of real-time data activation, embedded decisioning, operational simplicity, and continuous optimization as the more important pattern.<\/p>\n In other words, AI works best when it sits inside a well-designed operating model rather than alongside a fragmented one. The question shouldn\u2019t be: <\/b>\u201cWhere can we add AI?\u201d<\/i><\/p>\n It should be: <\/b>\u201cWhich customer decisions could be improved with better intelligence, and do we have the data and operating model to support those decisions?\u201d<\/i><\/p>\n Perhaps the biggest gap is organizational. Many teams treat Braze implementation as a project with a defined start and finish, but customer engagement is an ongoing process. Once the platform is live, teams need to continuously evaluate which journeys are working, how audience behavior is changing, where customers are dropping off, whether messages are losing effectiveness, which channels are driving incremental value, and which experiments or journeys should be scaled or retired. That requires more than campaign production; it requires an ongoing operating rhythm across strategy, data, CRM, creative, analytics, technology, and experimentation.<\/p>\n1. Your Data Is Connected, but Is It Actionable?<\/b><\/h2>\n
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2. You\u2019re Optimizing Campaigns Instead of Customer Outcomes<\/b><\/h2>\n
3. Your Journeys Are Multiplying Faster Than Your Operating Model<\/b><\/h2>\n
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4. Personalization Is Still Mostly Segmentation<\/b><\/h2>\n
5. You Have Multiple Channels, but Not Orchestration<\/b><\/h2>\n
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6. You\u2019re Adding AI Before Fixing the Fundamentals<\/b><\/h2>\n
7. You Don\u2019t Have a Continuous Optimization Model<\/b><\/h2>\n
Mavlers\u2019 POV: The Opportunity Is More Value From the Braze You Already Have.<\/b><\/h3>\n