The power of a truly connected loyalty program. A connected loyalty program drives growth. See how seamless data integration between your tech stack and loyalty platform delivers better results. When it comes to your loyalty program's martech ecosystem, the easiest way to explain it is that it's a puzzle: every piece has a matching pair, and you have to piece everything together with care in order to get the full picture. The same applies to loyalty programs, but with tech stacks and data that have to flow in and out. Get that right, and you unlock the real potential of loyalty. Get it wrong, and you'll be fighting the system at every turn. One important caveat before diving in: connected doesn't just mean plugged in. It means choosing technologies that genuinely play well together. Forcing incompatible pieces into the same stack leads to bugs, slow implementations, and a loyalty program that can't keep up with new ideas. Speaking of moving data, Antavo Limited has an excellent ebook for you that delves into the nitty-gritties of migrating that all-important loyalty info to your chosen loyalty platform. What a "connected" Loyalty program actually means. At its core, a connected loyalty program is one where data moves freely between your loyalty platform and the rest of your business. When a customer makes a purchase, that information should reach your loyalty platform instantly. When a customer reaches a new tier, your marketing tools should know about it immediately. This two-way flow is what separates a loyalty program that delivers results from one that just exists. Without it, implementing even a simple new campaign becomes a time-consuming project. Data gets stuck, systems fall out of sync, and the loyalty program becomes a bottleneck rather than a growth driver. A well-connected loyalty setup is the bedrock everything else is built on. As a partner-centric loyalty platform, Antavo has formed partnerships with many key martech players over the years, including but not limited to: Bloomreach, Klaviyo, Braze and Insider. While some of its partnerships are strategic, others come with developed integrations, meaning that the two technologies seamlessly work together. For a full list of integrations, check out its dedicated page. What to connect to your loyalty program. Here's a small but absolutely not definitive list of what kind of data sources you can connect to your loyalty program. It's meant to give you a glimpse into what the data architecture of a loyalty system looks like, but the reality is always complicated. Keep in mind: each loyalty program is unique; just like the needs of the company running them. That's why you always need to sit down and talk about your exact needs and concept with your chosen loyalty program. Transactional data. Loyalty programs are fundamentally about changing customer behavior, and for most brands, the behaviors that matter most are purchase frequency, basket value, and customer lifetime value. To influence any of those, your transaction data needs to flow directly into the loyalty platform. This goes beyond just knowing that a purchase happened. You want to know when it happened, the total value of the transaction, what items were included, and whether any items you wanted to specifically incentivize were part of the basket. With that level of detail, you can build reward mechanisms around individual transaction elements, not just the overall purchase. Transactional data typically comes from two sources: your eCommerce platform for online purchases, and your POS system for in-store transactions. If you aim for an omnichannel experience, both need to be connected and synced. Customer information. Loyalty programs work best when they're personalized, and personalization depends on knowing your customers beyond just what they buy. This is where your CDP or CRM comes in. Non-transactional customer data (preferences, favorite product categories, survey responses, profile completions) can all be channeled into the loyalty platform. This opens up a much wider range of reward opportunities. Instead of only rewarding purchases, you can recognize customers for interacting with your brand in meaningful ways: filling out their profile, answering a survey, or engaging with content. All of that behavior can be captured, shared with your loyalty platform, and turned into a campaign. Reward and product catalog. If your loyalty program offers more than just discount coupons, like physical gifts, merchandise, or experience rewards, then your product or inventory system needs to be connected. Most loyalty platforms don't manage product inventory themselves, so this integration is essential for keeping your reward catalog accurate and up to date. Without it, you risk offering rewards you can't fulfill or missing opportunities to feature new items. Lifestyle activities. Some of the most engaging loyalty programs go beyond transactions entirely and reward customers for how they live. A fitness brand, for example, might give points to customers who log a run through a connected app like Garmin. A health-focused retailer could reward customers for hitting step count goals. To make this work, you need to integrate the relevant third-party platforms ( fitness trackers, health apps, or whatever fits your brand) directly with your loyalty program. It's a more complex integration, but it creates a loyalty experience that feels genuinely personal and keeps customers engaged even when they're not actively shopping. Promotions. Promotions and loyalty programs naturally overlap, and making sure they work together smoothly is worth the effort. Buy-one-get-one deals, limited-time coupons, and seasonal offers all benefit from being synced with your loyalty platform. Sometimes you'll want to run a promotion through the loyalty program itself; other times you'll want to run it externally but still have it reflected in a customer's loyalty activity. Some loyalty platforms, like Antavo, handle promotions natively. With others, you'll need to build this connection externally. Either way, keeping promotions and loyalty in sync gives you much more flexibility in how you structure campaigns. Mobile app. If you want your loyalty program to live on mobile (whether through a dedicated loyalty app or as part of a broader brand app) the app platform itself is usually managed by a separate software provider. That means you need a clean, reliable data connection between your loyalty platform and your app layer so that points balances, tier statuses, rewards, and notifications all stay accurate in real time. A loyalty program that lags or shows incorrect information on mobile will frustrate customers quickly. Marketing automation. Up to this point, most of the data flow has been going into the loyalty program. Marketing automation is where that starts to reverse. This is the channel through which loyalty data flows outward and gets put to work. When a customer reaches a new tier, earns a milestone reward, or crosses a threshold you've defined, that event should trigger something in your marketing automation platform: a personalized email, a push notification, a special offer. Marketing automation tools are versatile, and loyalty data can significantly enrich what they're able to do. The two platforms together enable a level of personalization that neither can achieve on its own, which is why choosing a loyalty platform and a marketing automation tool that are well connected to each other is so important. Business intelligence. Finally, all of the activity and outcomes your loyalty program generates should flow into an analytics platform. This might be part of your CDP, a standalone BI tool, or in some cases a reporting suite built into the loyalty platform itself. The goal is visibility. You want to see which rewards are driving the most engagement, where customers are dropping off in their loyalty journey, and how different campaigns are performing over time. With that data, you can continuously refine your program, adjusting point thresholds, reworking tier structures, or doubling down on what's working. Closing thoughts. A connected loyalty program isn't just a technical requirement. It's what makes the difference between a loyalty program that runs and one that actually performs. The right integrations turn your loyalty platform from an isolated tool into a central part of how your business understands and engages its customers. Antavo is the AI loyalty and incentives platform that brings together loyalty, promotions, and agentic AI to turn customers into regulars: the customers who come back on their own, buy more often, and bring others with them. For more than a decade, Antavo has powered identity-led loyalty strategies for brands including SKIMS, Paul Smith, KFC, Flying Tiger Copenhagen, and Hyatt's Inclusive Collection. Marketers build, change, and launch programs and promotions themselves, without waiting on engineering. If you're tired of paying to win the same customers twice, book a call with its experts and see how Antavo turns them into regulars. Thomas Parker is a Product Marketing Manager at Antavo. He works closely with product, marketing, and commercial teams on product positioning and go-to-market initiatives across Antavo's loyalty platform.

Tokyo Gas bets on ai-driven engagement with Braze and Databricks integration. Last updated: April 3, 2026 11:29 am Tokyo Gas is changing how it talks to its customers. On April 1, the company said it is integrating Braze's customer engagement platform with the Databricks Data Intelligence Platform. This is not just another IT upgrade. It is part of a bigger shift happening inside traditional utility companies. Competition in Japan's energy market has changed. Electricity and gas are no longer locked down markets. Customers have options now. That means experience matters more than before. Communication matters more. Timing matters more. Tokyo Gas is trying to move faster on that front. - Advertisement - Building something that actually connects data and action. At the center of this setup is a simple idea. Stop keeping data and engagement separate. Braze handles the engagement side. It pulls in customer data from different sources and allows teams to run personalized campaigns across apps, websites, and email. It works in real time. Messaging can change based on behavior almost instantly. Databricks sits on the data side. It handles large scale analytics and machine learning. It processes huge volumes of customer data without forcing teams to constantly move it around. By connecting the two, Tokyo Gas is trying to close the loop. Data feeds into campaigns. Campaign results feed back into data. Then the system adjusts again. This is not a one-time setup. It keeps running. Keeps learning. Keeps updating. For a company dealing with millions of customers, that kind of loop matters. - Advertisement - Making customer experience feel less generic. One of the immediate changes is consistency across channels. Customers interact in different ways. Mobile apps. Websites. Emails. Sometimes physical services. Usually these touchpoints feel disconnected. Tokyo Gas wants to fix that. Now communication can be shaped around individual behavior. Usage patterns. Preferences. Past interactions. Instead of sending the same message to everyone, the system adjusts per user. In Japan, expectations around service quality are high. People notice inconsistency quickly. So this kind of alignment is not optional anymore. - Advertisement - There is also a business angle. Tokyo Gas is not just selling gas and electricity anymore. It is looking at additional services. Home related offerings. Energy efficiency solutions. Lifestyle services. Personalized engagement makes cross selling easier. But only if it is done right. Otherwise it feels like spam. Letting marketers move without waiting on IT. Another shift here is who actually runs things. Braze uses a graphical interface. Marketers can design campaigns, segment users, and adjust workflows without needing engineers every time. That changes speed. Instead of waiting for IT teams to implement changes, marketing teams can test ideas directly. Launch something. See results. Adjust. Repeat. This tightens the PDCA cycle. Plan. execute. check. act. It happens faster. For a company like Tokyo Gas, this is not just about tools. It is a shift in how teams operate internally. What this says about Japan's tech direction. This move fits into a larger pattern. Traditional industries in Japan are waking up to the fact that data is not just something you store. It is something you use actively. In real time. Utilities, manufacturing, finance. All of them are starting to invest in platforms that combine data, AI, and customer interaction. There are a few clear shifts here. Data is becoming central. Not a byproduct. AI is moving into everyday operations. Not just experiments. And tools are becoming easier to use. No code and low code setups are filling the talent gap. Japan does not have unlimited advanced IT talent. So systems have to adapt to that reality. What it means for businesses. If you are operating in Japan, this is a signal. Companies that connect their data platforms with customer engagement systems will move faster. They will understand customers better. They will react quicker. That leads to better retention. Higher lifetime value. More opportunities to sell additional services. There are also deeper use cases that can come out of this. Predictive maintenance. Dynamic pricing. Personalized recommendations tied to real usage data. But there is a tradeoff. More data. More AI. More responsibility. Governance matters. Privacy matters. Security matters. If trust breaks, the whole system falls apart. Not just a tech upgrade. What Tokyo Gas is doing is not just plugging in new software. It is changing how it operates. Data, AI, and customer engagement are being tied together into one system. Not separate layers anymore. That is what digital transformation actually looks like in practice. Not big announcements. Small but structural changes in how companies run day to day operations. As more traditional companies in Japan move in this direction, this kind of setup will likely become standard. At that point, the difference between companies will not be who has AI. It will be who uses it better.

Wunderkind launches new Braze integration to turn identity into revenue-driving, orchestrated customer journeys. Wunderkind, the AI decisioning platform that combines identity resolution with cross-channel personalization to increase performance and reach, announced the launch of its latest integration with Braze, the leading customer engagement platform that powers relevant and memorable experiences between consumers and the brands they love. The new integration is designed to help marketers recognize more of their visitors, activate real-time behavioral Signals, and orchestrate high-performing triggered journeys directly within Braze, driving incremental revenue lift from existing traffic and programs. By connecting Wunderkind's identity framework and high-intent behavioral Signals to Braze Canvas, brands can move beyond static campaigns to intelligent, real-time experiences that adapt to customer behavior across web, email and other touchpoints, unlocking net-new revenue that traditional CRM programs leave on the tables. The integration enables marketers to bring triggered and CRM programs together under one roof in Braze, with shared frequency caps, suppression rules, and reporting. "Marketers shouldn't have to choose between performance and simplicity," said Richard Jones, Chief Revenue Officer at Wunderkind. "By bringing Wunderkind's identity graph and high-intent Signals into Braze, we're giving brands a way to recognize more of their shoppers, prioritize their highest-value triggered messages, and run everything inside a single environment their teams already know - without adding another system to manage or rebuilding existing journeys from scratch, and with a clear, measurable lift in triggered and lifecycle revenue." With Wunderkind's integration for Braze, brands can: * Recognize more visitors and expand reach by identifying previously anonymous traffic across sessions, devices, and channels, then turning those visitors into addressable Braze profiles and subscription audiences. * Grow and enrich Braze lists by capturing more email opt-ins on-site and writing new subscribers - along with key attributes and events - directly into Braze in real time. * Scale high-intent triggered journeys by using Wunderkind's Signals to detect meaningful behaviors like product and cart abandonment and pass those signals instantly into Braze Canvas for one-to-one email flows. * Unify CRM and triggered programs by coordinating Wunderkind-powered triggers with existing Braze campaigns, using shared frequency caps, suppression rules, and eligibility logic so triggered sends complement, rather than compete with, batch marketing. * Simplify compliance and mailability by checking subscription and mailability status in Braze before sends, and updating unsubscribe status back into Braze when customers opt out - keeping data aligned across systems. * Maintain operational efficiency with an integration that fits into existing Braze workflows, content, and reporting, minimizing the need for custom engineering while making every message smarter and more timely. Brands leveraging Wunderkind's identity framework have seen up to 8x lift in triggered revenue, and Wunderkind's platform drives more than $5 billion in attributable sales annually across its client base. Brands are already thinking about what this means for their own engagement strategies. "At Kurt Geiger, we're always looking at how our technology partners can work together more effectively. The integration between Wunderkind and Braze is an important development, bringing together capabilities that support a more connected approach to customer engagement," said Gareth Rees-John, Chief Digital Officer at Kurt Geiger.