Flockr's signal layer is only useful where your team already works. We push live demand intelligence into the tools you've already chosen — through standard mechanisms, with no proprietary protocols.
Flockr's engine generates signals continuously — purchase momentum, scarcity, cart pressure, attention, and the rest — and groups visitors into cohorts based on those signals. Both the signals and the cohorts can be exported anywhere your business needs them. The definition lives in Flockr; activation lives wherever you already work.
Webhooks. CDP track events. Fired the moment a cohort transitions or a signal threshold trips.
Tags, hashed match, anonymous IDs. Lists keyed on the identifier your destination expects.
Parquet on S3. Cohort membership over time, signal snapshots, event-level data your warehouse picks up natively.
Three mechanisms cover every destination. Pick the one that matches how your downstream tool wants to receive data.
Six destination types. Each with its own page covering the platforms we work with, the mechanism we use, and a worked example of the integration end-to-end.
Flockr's source-of-truth integration. Reads inventory, catalogue, and order signals from your store. Writes cohort membership back as customer tags so your existing apps inherit the data.
Real-time email and SMS triggered by Flockr cohort transitions. Cart abandonment with scarcity context. Lifecycle flows that fire when demand changes, not on a schedule.
Send Flockr events into your CDP and let it fan out across your existing destination map. One integration, every downstream tool your CDP already routes to.
Audiences synced for paid retargeting and acquisition. Custom-parameter remarketing for anonymous traffic; hashed customer match for identified users.
Cohort membership and signal data delivered as partitioned Parquet. Snowpipe, BigQuery Transfer, Redshift COPY — all standard, no proprietary connectors.
Webhook events for real-time triggers. GraphQL and REST APIs for custom integrations. Everything Flockr exposes externally is also available to build your own.
The category names what Flockr plugs into. The mechanism names how the data moves. Every destination uses one or two of these three patterns — there's nothing else.
Emitted the moment something happens. Cohort entered, cohort exited, signal threshold crossed. Webhooks for HTTP destinations, CDP-shaped track events for Segment and friends.
Customer tags for Shopify-resident apps, hashed email for ad-platform Customer Match, anonymous IDs for cookied audiences. The identifier matches what your destination expects.
Cohort membership over time, signal snapshots, full event-level data. Standard Parquet on S3 your warehouse picks up natively. No connector to install.
Flockr doesn't replace your customer engagement platform, your CDP, or your warehouse. It adds a signal layer on top of them. Your team keeps working in the tools they already know — Klaviyo flows, Shopify customer segments, your own warehouse models — and Flockr feeds them better inputs.
The privacy model of an integration matters as much as the integration itself. Flockr's architecture is tier-based by design.
Flockr's analytics pipeline, cohort engine, and demand intelligence stores hold no PII. The only identifiers Flockr generates are anonymous browser cookies — nothing that ties back to an individual person on its own.
When you connect Flockr to a destination that does hold PII — your customer engagement platform, your warehouse — Flockr pushes anonymous identifiers into your environment for your downstream tools to resolve. The boundary is yours. We sign a DPA scoped to the integration before any push happens.
The architecture is tier-based by design: no integrations, no PII anywhere. Integrations on, scoped contractual posture.
Thirty minutes with a Flockr engineer. We connect to a sample of your catalogue and show what the integration would look like on your real destinations — signals, audiences, and warehouse tables, on the tools you already run.
Book a demo →