Privacy requirements, analytics tools, and advertising platforms keep changing, which means data teams need a clearer view of how data is collected, used, and moved. Starting June 15, 2026, Google Analytics transitioned to using Consent Mode within Google Ads as the single control for data. That means users’ privacy selections, managed through Ads Consent Mode settings, will govern how data is collected and used.
For data teams, the takeaway is bigger than one Google update: once consent rules are applied, teams still need to understand where approved data goes next.
Why Data Movement Matters
Data replication is often treated as a technical task: move data from a source to a destination so teams can report, analyze, or operate more efficiently. As privacy expectations rise, that source-to-destination path also becomes part of governance.
Risk can build up when teams rely on manual exports, undocumented pipelines, outdated point-to-point integrations, or vendor-specific data paths that are hard to trace. Without a clear view of replication paths, teams may struggle to update privacy notices, support audits, honor internal policies, or adapt when platform requirements change.
Most replication setups are built point-to-point: one source feeding one destination, then another custom pipeline for the next one, and another after that. Every new downstream system means a new integration, and with no centralized rule governing the data each one receives.
Stelo is architected so that a single source can feed many destinations, each through its own subscription. By default, a subscription replicates everything: every row in the source table, copied as-is to the destination. Selecting criteria gives the user control over default replication. Each subscription can carry its own criteria, which Stelo defines as rules that limit replication to only the rows that meet specific conditions. In practice this looks like one destination being scoped to a single region's records, another scoped to a different business use case entirely, all from the same source, because each subscription enforces its own rule independently.
That rule does not just apply once. For subscriptions built to replicate ongoing changes, the criteria keeps governing the data permanently: every insert, update, or delete in the source is checked against the rule before it reaches the destination. If records match the rule, it shows up at the destination. If it does not match, then it is removed. The destination is not a one-time copy filtered at setup. This means end users' data only reaches the destinations an enterprise has explicitly scoped it to. The core of Stelo’s approach is that control is not bolted on after replication happens but instead built into replication in real-time.
Let’s say a single customer records table is feeding three different systems: a regional sales dashboard, a marketing platform, and a finance warehouse. By default, all three subscriptions would replicate everything, every row, every column, regardless of what each destination needs.
Stelo’s Criteria feature changes that for each destination independently. The regional sales dashboard's subscription can carry criteria that limits replication to customers tagged to its territory. The marketing platform's subscription can carry criteria that limits replication to customers who opted into promotional contact. The finance warehouse's subscription might carry no criteria at all, because finance needs the full table. From the same source, there are three subscriptions, three different rules, three different rows that meet each business need.
The rule does not freeze in place once it is set. If marketing's criteria changes next quarter, that subscription is updated and a new baseline replication rebuilds the destination to match. The destination reflects the current rule. Stelo gives you control of the data you replicate by ensuring the rules you enforce apply consistently, everywhere that data goes.
Where This Leaves You
Google's Consent Mode changes are a useful reminder that privacy strategy doesn't end at collection. It has to follow the data downstream. But closing that loop isn't about adding another compliance layer on top of replication. It's about whether the underlying system was built to let enterprises decide, deliberately, what reaches each destination.
Stelo gives businesses the ability to scope the data each destination receives and keep it current when the rules change.
Let's map out where your data should go. Reach out to our team today!