Opening proof path
SIRJ is loading the workspace, connector, or public page with the same proof path intact: ad spend, lead, booked job, invoice, paid.
See how SIRJ connects ad spend, calls, jobs, invoices, and payments into a revenue attribution workspace for home-services agencies.
Computed from 31 paid invoices, not a blended channel guess.
How the platform works
The product is strongest when buyers see the path from connected source to paid revenue before they see another dashboard promise.
SIRJ treats every ad account, call tracker, CRM, scheduling tool, invoice system, and payment record as a source in the same revenue graph.
Spend, leads, jobs, communications, invoices, and payments are converted into typed records before charts or AI answers can use them.
Dashboards are assembled from available source records, so a plumbing client with CallRail and Jobber sees different proof than a medspa with Stripe and HubSpot.
Ask Data can answer plain-English questions, but every answer has to cite computed rows and source records instead of inventing a number.
Source-to-proof workflow
Open the route from first source to report-ready proof.
Integration pages name imported records, source fields, setup requirements, and validation gates before the buyer reaches a dashboard.
The data-routing guide explains ingestion, normalization, tenant scope, metric computation, and unsupported-data handling.
Dashboards show readiness, card unlock rules, recent activity, source health, and next-source guidance before client reporting begins.
Unsupported questions return safe gaps instead of invented answers, and supported answers cite the dashboard evidence behind the response.
Reports, client workspaces, and onboarding pages show how the first setup becomes a weekly proof workflow.
Product surfaces
Each route shows what the buyer sees and what backs it.
A connector library with detail pages for what each source imports, how setup works, which fields matter, and where the data appears in reporting.
Source records and connector definitions lead into visualization rows, validation gates, FAQ answers, and category routes.
Inspect surfaceReadiness states, metric cards, recent activity, source health, Ask Data prompts, and next-source guidance based on the connected stack.
Dashboard generation reads normalized event types and provider capabilities before a card feels report-ready.
Inspect surfacePlain-English answers that cite computed metrics, chart rows, date bounds, source filters, and unsupported states when evidence is missing.
Question parsing becomes a scoped query spec, then allowed dashboard rows and computed metrics decide whether an answer can be cited.
Inspect surfaceWeekly insights, white-label exports, PDF snapshots, recommendations, report history, and client-ready proof from the active dashboard context.
Report snapshots preserve dashboard metrics, recommendations, date scope, and export history for later review.
Inspect surfaceData lineage, security, metric definitions, attribution methodology, connector health, disclosures, and billing limits close the gaps that slow purchase decisions.
Trust routes explain where claims come from, how credentials stay scoped, and when the product refuses unsupported numbers.
Inspect surfacePlatform surface area
Product, pricing, integrations, solutions, comparisons, and trust.
Three visible public plans plus an enterprise lane for procurement and security needs.
Billing clarityTrial state, checkout, billing portal, cancellation, feature gates, and workspace limits stay visible around signup.
Agency overviewPortfolio metrics, scoped invitations, client branding, and weekly reporting stay tied to the right workspace.
First dashboard setupSelected plan, first connector setup, first sync, and dashboard readiness stay visible until the workspace has source-backed data.
Dashboard readinessReadiness states, source health, recent activity, and next-source guidance make missing data visible.
Source trustMissing setup, sync cadence, recent runs, failures, and reconnect needs stay visible before reports rely on a source.
Validation layerSource readiness, client scope, metric eligibility, attribution evidence, and citations are checked before revenue proof appears.
Calculation rulesROAS, cost per lead, campaign performance, form conversion, and pipeline only appear when source evidence can support them.
Attribution methodSpend-to-lead windows, downstream identifiers, confidence levels, and statistical allocation stay visible before reports use the result.
Matching engineSpend, leads, deals, jobs, invoices, and payments are matched with method, confidence, tenant scope, and payment precedence before reports use them.
22 connector pagesEach page maps imported data to the dashboards and buyer questions it can answer.
Private connector scopeEnterprise connector planning names auth, records, validation gates, attribution role, and pilot rollout before a source reaches reports.
5 solution pathsAgency, paid media, multi-location, and reporting pages frame the same product around different buying moments.
3 alternative guidesFunnel, Whatagraph, and Improvado comparisons explain where SIRJ wins and where broader platforms still fit.
Proof standards
No unsupported chart, answer, attribution claim, or rollout promise.
The platform links into integration detail pages, connector health, data routing, and metric definitions before asking the buyer to trust a report.
Ask Data requires scoped query specs, computed rows, citations, and safe unsupported responses before an answer becomes client-facing.
Attribution methodology explains match windows, confidence levels, downstream identifiers, payment precedence, and no-match behavior.
Pricing, billing limits, onboarding, security, reports, and client workspace pages explain the buying path before account creation.
FAQ
Each answer points to the next proof page.
Most teams start with an ad source plus a revenue source such as calls, CRM, jobs, invoices, or payments. The integration pages explain what each connector imports and what reporting proof it can support.
SIRJ is built around revenue proof rather than chart production. The product connects source records to attribution, dashboard eligibility, cited answers, weekly reports, and trust pages that explain where each number came from.
Yes, but partial setups stay explicit. Supported cards can appear while unsupported metrics remain hidden, flagged, or explained until the required source data exists.
Open integrations to confirm source coverage, data lineage to inspect trust controls, pricing to choose a plan, and onboarding to understand the first dashboard path.
Ready when the numbers need to hold up
Start with integrations, inspect validation, compare pricing, and use the live demo to see how source records become client-ready revenue proof.