-

As AI Moves Into the Data Warehouse, MessageGears Launches Reimagined Journeys Built to Meet It There

As the only cross-channel marketing platform that runs customer journeys inside the data warehouse, MessageGears turns AI intelligence into action, right from the source.

ATLANTA--(BUSINESS WIRE)--MessageGears, the first data-native cross-channel marketing platform, today announced the launch of its reimagined journey builder. The new visual canvas is built entirely on an organization’s own data warehouse, empowering B2C teams managing large customer bases to design more intelligent multi-step journey flows. The result is a new class of orchestration: one where every message reflects context-rich reality, and every execution decision can be governed, attributed, and optimized by the teams responsible for customer engagement.

As AI, identity resolution, and predictive modeling continue to move into the data warehouse where they belong, the execution layer should live there too – so MessageGears built a future-proof journeys canvas from the ground up.

Share

“Our architecture does something that competing platforms simply can’t replicate. We bring personalization, segmentation, orchestration, cross-channel deployment, conversion tracking, and campaign attribution into a single, warehouse-native system,” said Craig Pohan, CTO at MessageGears. “Data lives in the warehouse. AI lives in the warehouse. And we believe marketing belongs in the warehouse too, executing from the same central data layer that other departments already work from.”

Future-proofing cross-channel customer experiences

MessageGears isn’t rolling out new journeys because the market needed another drag-and-drop workflow tool – that capability has been around for well over a decade. Instead, this release intentionally comes at a time when marketing leaders are actively rethinking cross-channel orchestration throughout the customer lifecycle. As AI, identity resolution, and predictive modeling continue to move into the data warehouse where they belong, the execution layer should live there too.

So MessageGears built a future-proof journeys canvas from the ground up. The new orchestration engine is specifically architected so that AI agents, administered by marketing teams, will be able to evaluate trade-offs between personalization depth, latency, and compute cost — and select the right execution path for every unique use case.

“We’re architecting journeys with the assumption that AI agents will increasingly drive orchestration decisions, and that requires a specific foundation,” said Eugene Yukin, VP of Product at MessageGears. “Imagine if your agents could select the best execution path a given use case actually demands: warehouse-native journeys for high-value, data-rich orchestration; event-triggered flows when real-time journey entry is genuinely required; or cloud-based journeys when sub-second latency is the constraint that matters most. That type of flexibility can’t be an afterthought. It’s fundamental to support the future of enterprise marketing, and it’s the future we’re building for.”

Journeys aren’t just a flashy new UI added to the cross-channel platform. Every component of a journey flow queries the same source of truth at every step. This is the natural next step in a data-native architecture that MessageGears has already been supporting for years.

Orchestration that runs where your data already lives

Traditional journey builders require marketers to work with a copy of their data — a synchronized subset stored inside the marketing platform, limited to the attributes that were synced, accurate only as of the last update. MessageGears eliminates that constraint entirely. Journey segments are built directly against the full warehouse schema: behavioral events, transactional history, multi-table relationships, ML model scores, and computed fields. Anything the team can query is available at every step.

The practical impact is significant. A streaming platform can identify subscribers who watched 70–90% of a new season, stalled for more than a week, but historically binge-complete — a churn signal — and serve personalized re-engagement messages that reference the exact episode where they stopped, alongside recommendations drawn from the platform’s own content catalog. A financial services brand can trigger a 1:1 push to customers whose checking balance has been above a threshold for 90+ days, with no active savings product, who recently browsed rates in-app — referencing their actual balance and a calculated earnings projection. None of this requires syncing data into a separate system. It’s already there.

Campaign activity also flows right back into the warehouse from MessageGears automatically. Who entered a journey, who branched where, who converted and why — this data writes back in real time, giving BI, data science, and analytics teams direct access to query relevant customer engagement alongside their existing reports. Attribution and governance come standard, not as an afterthought.

Compute you control, not costs you can’t see

Despite the increasing trend of centralized data, truly warehouse-native marketing execution is still rare, and some leaders assume data-native messaging will introduce higher compute costs. The reality is more precise: every marketing platform runs compute to do this job.

In traditional platforms, those costs are bundled into subscription fees, sync pipelines, and the ongoing expense of storing and maintaining a second copy of customer data. MessageGears brings that commonly hidden work into the warehouse — where teams can see every query, isolate compute by team or campaign, and attribute costs directly to the programs that drive them.

With granular visibility into how data is being used for marketing, teams can actually control and optimize their own compute costs. E.g. Many customer journey flows run on a schedule and only need to process what has changed since the last step was executed, not full audience rebuilds. This way, users only pay for the delta, not the entire dataset.

Enterprise power, marketer-friendly tools

The new journey builder is available now for MessageGears customers, beginning with warehouse-native orchestration — the execution path designed for personalized marketing flows that require the full context-depth of the warehouse to run correctly. Additional execution paths are in active development as MessageGears continues to build up its fully composable, AI-ready orchestration architecture.

To learn more or request a demo, visit messagegears.com.

About MessageGears

MessageGears’ cross-channel marketing platform helps you create personalized customer experiences that build loyalty and drive revenue. By connecting directly to your data sources with zero layers in between, we unlock unlimited attributes and deliver campaigns wherever your customers are across email, SMS, mobile, paid media, and more. Brands like Chewy, GoDaddy, Indeed, and Sherwin-Williams rely on MessageGears to power context-rich experiences that convert throughout the entire customer lifecycle. Learn more at messagegears.com.

Contacts

Media contact
Koertni Adams
Director of Content, MessageGears
888-352-0886

MessageGears


Release Versions

Contacts

Media contact
Koertni Adams
Director of Content, MessageGears
888-352-0886

Social Media Profiles
More News From MessageGears

MessageGears Expands Its Integration Ecosystem With Five New Data Sources and Destinations

ATLANTA--(BUSINESS WIRE)--MessageGears, the cross-channel marketing platform that connects directly to your data sources, today announced five new integrations: Microsoft Azure, Bynder, and SingleStore as three new data sources, and TikTok and Google Drive as two new external destinations. The additions further extend MessageGears’ flexible architecture, which allows enterprise teams to activate data across any channel or tool without duplicating, moving, or re-housing it. The announcement refl...

New Self-documenting Marketing Assets From MessageGears Provide Instant Clarity on Complex Enterprise Campaigns

ATLANTA--(BUSINESS WIRE)--MessageGears, the leading warehouse-native data activation and engagement platform for enterprise brands, today announced the launch of AI summarization capabilities that provide concise, plain-language descriptions of marketing assets directly within the platform. By providing these AI-generated explanations, a brand’s collection of complex, technically opaque assets transforms into an intuitive, self-documenting workspace. Enterprise teams no longer have to open ever...

MessageGears Delivers Warehouse-Native Revenue Tracking for Enterprise Marketers With New Cross-Channel Conversion Analytics

ATLANTA--(BUSINESS WIRE)--MessageGears, the leading warehouse-native data activation and engagement platform for enterprise brands, today announced the launch of conversion reporting — a new suite of capabilities that ties campaign performance and revenue analytics directly to data warehouse insights without adding tools to the stack. Why warehouse-native architecture changes what's possible in attribution Most marketing platforms that offer conversion reporting have a fundamental limitation: t...
Back to Newsroom