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.
Evaluate marketing data integration software by source coverage, imported fields, normalization, validation gates, dashboard surfaces, connector health, and reporting handoff.
Buyer questions
A buyer should understand source coverage, imported fields, normalization, validation, connector health, and report handoff before trusting a revenue dashboard.
Marketing data integration software connects data from ad platforms, call tracking, forms, CRM, operations, invoices, payments, and private sources so teams can analyze and report on performance from one evidence path.
For SIRJ buyers, a connector is useful only when imported records can feed attribution, dashboards, Ask Data answers, report snapshots, and missing-data states.
Follow the source pathIt should bring source identifiers, event timestamps, campaign context, lead or contact fields, status changes, job or invoice records, payment context, and the provider fields needed for validation.
The important question is not whether the logo exists. It is whether the imported fields can support the revenue claim the agency wants to make.
Follow the source pathBroad data pipeline tools often optimize for extraction breadth, warehouse loading, and broad transformation. SIRJ is narrower: it connects marketing and business sources to revenue attribution, dashboards, and client reports.
Choose SIRJ when the integration job is to prove client revenue from source records, not to replace an enterprise warehouse or every possible data movement workflow.
Follow the source pathThe product should show setup gaps, missing fields, stale syncs, unsupported metrics, weak match evidence, or a custom connector scope before the source is used in a dashboard or report.
A trustworthy integration path protects the buyer from confident-looking reports that are built on incomplete or stale source records.
Follow the source pathIntegration workflow
The path starts with the revenue question, chooses the required source categories, normalizes records, validates readiness, and sends only supported data into proof surfaces.
Source coverage
The data path is useful when source fields can feed attribution, dashboards, Ask Data, reports, exports, and unsupported-data states.
| Source | Imported fields | Proof use |
|---|---|---|
| Ad platforms | Campaign, ad group, spend, impressions, clicks, conversions, creative identifiers, source timestamps, and platform identifiers needed for source-aware performance views. | Ad data can support spend trends, campaign tables, attributed revenue context, ROAS cards, and source-quality questions when downstream evidence is available. |
| Call tracking | Call timestamp, caller context, tracking source, campaign context, call duration, answered or missed state, recording metadata, and qualification fields when available. | Call records can support lead quality views, missed-call attention items, call-source trends, and attribution matching when job or revenue records later confirm the path. |
| Forms and messaging | Submission timestamp, form source, contact fields, message channel, campaign context, response indicators, status fields, and source identifiers for lead intake. | Form and messaging data can support intake trends, source-quality analysis, response gaps, Ask Data prompts, and lead-to-revenue matching when downstream records exist. |
| CRM and pipeline | Contact records, deal or opportunity fields, stage movement, owner, status, close context, pipeline value, source fields, and timestamps for match windows. | CRM records can support stage analysis, source-to-deal paths, no-match lists, pipeline quality views, and confidence boundaries before revenue is claimed. |
| Jobs, invoices, and payments | Job records, invoice identifiers, invoice amount, payment state, collected amount, customer context, service dates, accounting references, and revenue timestamps. | Operations and books data can support booked revenue, invoice-backed reporting, collected revenue, unpaid attention items, and client-ready revenue attribution. |
Proof surfaces
Connector detail pages, category pages, data routing, health checks, dashboards, and reports should all preserve source-readiness context.
| Surface | Buyer sees | Source path |
|---|---|---|
| Connector detail page | Imported records, source fields, sample rows, graph examples, validation gates, buyer questions, setup requirements, and FAQs for a specific connector. | Integration detail routes are built from the connector catalog, source metadata, visualization rows, proof contracts, and event-type lineage. |
| Category integration page | Connector groups by buyer job, data signals, dashboard proof, validation workflow, and every connector that belongs to the source category. | Integration category pages group catalog providers by ad, call, CRM, forms, messaging, operations, payment, and books roles. |
| Data routing path | Ingestion, normalization, tenant scope, metric computation, unsupported-data handling, and the proof surfaces records can feed. | Data routing connects connector events to scoped records, metric eligibility, dashboards, Ask Data, reports, and exports. |
| Connector health | Health status, missing setup, stale-data state, sync cadence, recent sync runs, provider failures, reauthorization needs, and reconnect paths. | Connector health uses runtime and observability modules to keep stale or broken integrations from silently feeding client-facing proof. |
| Dashboard and report handoff | Unlocked dashboard cards, graph surfaces, metric definitions, Ask Data answers, report snapshots, weekly summaries, and exportable client proof. | Dashboards, marketing reporting, reports, and exports show which connected records become visible outputs and where missing data remains blocked. |
Workflow
SIRJ keeps the source path readable so a report does not treat partial, stale, or unsupported data as settled proof.
| Step | What happens | Visible proof |
|---|---|---|
| Identify the revenue question | Start by naming the reporting or analytics job: source coverage, campaign revenue, lead quality, booking proof, invoice proof, collected revenue, or client reporting handoff. | Marketing analytics, attribution, dashboard, and reporting pages explain which business questions each connected source can help answer. |
| Choose the required source categories | Pick demand and outcome sources together: ad platforms, call tracking, forms, messaging, CRM, operations, jobs, invoices, payments, and private sources when needed. | Integration library and category pages show connectors by buyer job rather than hiding every system inside an undifferentiated logo grid. |
| Normalize imported records | Imported source records need consistent event shapes, source identifiers, timestamps, tenant scope, provider fields, and routeable event types before metrics can trust them. | Data routing and validation pages show how connector records become scoped records and why unsupported fields stay out of dashboards and reports. |
| Validate readiness and health | Before data becomes client-facing, SIRJ checks setup requirements, sync health, stale-source states, required fields, metric eligibility, and attribution evidence. | Connector health, data validation, and metric definitions explain what blocks a source before it becomes a dashboard card, Ask Data answer, or report claim. |
| Send supported data to proof surfaces | Only supported records should feed dashboard cards, graph surfaces, Ask Data answers, report snapshots, weekly summaries, exports, and client-ready recommendations. | Dashboards, Ask Data, reports, sample report, and exports pages show how connected data becomes visible proof instead of invisible plumbing. |
Proof standards
The standard is simple: do not turn connector availability into a dashboard claim until imported records can support the buyer's question.
Connector detail pages expose imported records, source fields, sample rows, graph surfaces, validation gates, and buyer questions for each modeled source.
Data routing, normalizers, and event modules make connector records routeable before metrics, cards, answers, or exports use them.
Connector health and data validation pages explain stale sources, failed setup checks, recent syncs, reauthorization needs, and unsupported metric states.
Custom connector and Enterprise pages explain qualification, authentication, available records, validation gates, pilot rollout, and governed approval paths.
FAQ
These answers help buyers separate a useful revenue-proof integration layer from a broad connector list with unclear reporting behavior.
Marketing data integration software connects records from marketing and business systems, normalizes those records, validates readiness, and sends supported data into dashboards, analytics, reports, and exports.
Useful integrations import source identifiers, timestamps, campaign context, lead or contact fields, CRM status, job records, invoice data, payment state, and provider fields needed for validation.
SIRJ is not a general-purpose warehouse layer. It is built to connect marketing and revenue sources into attribution, dashboard, Ask Data, and client-reporting proof for agencies.
Use the custom connector path to scope the source purpose, authentication, records, validation gates, attribution role, pilot rollout, and whether Enterprise support is required.
Ready when the numbers need to hold up
Confirm which records each source brings in, how they are normalized, and where they can safely appear before a client report depends on them.