Google Analytics 4
Acquisition and summary reporting including sessions, users, key events, and revenue signals.
Attiver orchestrates goals, budgets, funnel signals, and channel performance across every business you manage — then prioritizes what should happen next.
For founders, growth leads, and operators managing multiple products or businesses.
Attiver's connection layer brings reporting, product behavior, instrumentation, revenue, and direct business events into one operating context before they feed funnel, lifecycle, condition, and playbook logic.
Acquisition and summary reporting including sessions, users, key events, and revenue signals.
Event-level behavioral data from GA4 BigQuery exports, normalized into Attiver's provider-neutral event layer.
App and product behavior from Firebase BigQuery exports using the same event normalization pipeline.
Read-only inspection of containers, tags, triggers, variables, and configuration context.
Verified subscription, payment, cancellation, and refund events mapped into commercial lifecycle signals.
Explicit product and business facts ingested through Attiver's authenticated event boundary.
Provider capabilities are explicit by design: Attiver only treats a source or action as available when the required connection, capability, and workspace permission exist.
Analytics explain what happened. Ad platforms optimize inside their own walls. The cross-channel decisions still get stitched together manually.
Attiver gives those signals one operating logic — so priorities, decisions, and actions stay coordinated across the businesses you run.
Attiver continuously reads what is changing, determines what matters, coordinates the next move, and uses the outcome to inform the next cycle.
Business goals, budgets, campaign results, funnel conversion, retention, and revenue.
Locate friction, waste, risk, and opportunity across the metrics that drive the business.
Apply rules, scoring, and prioritization to determine what deserves attention now.
Coordinate supported workflows and actions only through explicitly configured connections and execution paths.
Measure the outcome and feed what changed back into the next operating cycle.
Each business keeps its own goals, funnel, budget, and channel context. Attiver gives you one consistent way to decide what matters and coordinate what happens next.
Attiver turns fragmented growth data into a simple operating sequence: see what changed, understand what matters, then decide what should happen next.
Bring business, funnel, revenue, and product signals into one operating view.
Diagnose friction and rank what deserves operator attention now.
Translate an opportunity into a decision that can move through supported execution paths.
Paid CAC is above the configured efficiency band while downstream conversion remains stable.
Activation improvement persists across the defined observation window.
A retention segment crossed its configured risk threshold.
The strongest friction is concentrated between initial setup and the first meaningful product outcome.
Route eligible traffic into a controlled experiment and evaluate against the activation metric tree.
Create an account and continue in the Attiver app.
Attiver's operating model is built around explicit access, versioned logic, fail-closed evaluation, and auditable execution history. Configuration changes do not silently rewrite published logic or historical outcomes.
Workspace-scoped roles and permissions define what each member can read and manage across products and operational surfaces.
Published conditions, triggers, and playbooks pin exact versions, so later edits do not silently reinterpret historical decisions.
Missing evidence, ambiguous trigger collisions, unknown executors, or safety failures suppress execution instead of guessing.
Trigger evaluations, action executions, attempts, and outcomes are recorded as append-only history for later review.
Explicit means explicit. A connection or action is not treated as executable until its required capability and execution path exist.
Attiver's claims are grounded in concrete product constraints: supported sources are explicit, access is role-scoped, published logic is version-pinned, and execution history remains reviewable.
GA4 reporting, GA4 BigQuery, Firebase BigQuery, GTM, Paddle, and authenticated direct-event ingestion.
Owner, admin, marketer, analyst, operator, and viewer create an explicit access model.
Published conditions, triggers, and playbooks preserve exact versions instead of silently changing historical meaning.
Evaluations, action executions, attempts, and outcomes preserve reviewable history across the operating cycle.
For people responsible for growth across more than one product, business, or channel — and who need their marketing stack to do more than summarize what happened.
See what deserves attention, what can wait, and which action should happen next across the funnel.
Operate multiple products with one decision model while preserving each business’s goals, constraints, and context.
Bring your businesses into one operating model, surface what deserves attention, and coordinate what happens next from the same context.
Control stays explicit. Role-scoped access, version-pinned logic, and reviewable execution history stay part of the operating model.