Feature · Marketing KPI Dashboard

A marketing KPI dashboard that defends spend with evidence.

A marketing KPI dashboard is the surface where demand gen defends budget and allocates spend. The dashboard needs live data, attribution all the way to revenue, campaign-level ROI, and drill-through to the records. Strkr's marketing dashboard delivers these on the CRM record graph with no BI license and no reporting SKU.

The six questions marketing dashboards answer

What demand gen asks every Monday.

A marketing KPI dashboard earns its slot when it answers six specific questions in six seconds. These are the questions marketing leads ask weekly and quarterly, and the ones a credible dashboard surfaces by default.

Are we hitting MQL volume?

MQL count versus plan, by source.

A tile per quarter with MQL count against plan, broken out by source. Paid search, paid social, organic, events, referrals each have their own band. The marketing lead sees which sources are over-performing and under-performing at a glance.

What is converting?

MQL to SQL to opp conversion.

A funnel showing MQL volume, SQL acceptance rate, and opportunity creation rate over trailing 90 days. The three leak points (reject, timeout, re-route) each report their own count. Drill into any band for the leaking records.

What is the ROI by campaign?

Spend to pipeline to revenue.

A row per campaign with spend, MQLs, SQLs, pipeline attributed, and closed revenue. Marketing renews campaigns based on the row, not the gut call. The ratio of pipeline to spend ranks the campaigns by efficiency.

How fast is speed-to-lead?

Form fill to first touch.

The headline operational metric. A tile with average speed-to-lead on a seven-day window, plus the slowest 20 leads for diagnosis. Teams running Strkr's inbound routing average under two minutes to first human touch.

Which content works?

Multi-touch attribution per asset.

A table of content assets with first-touch, last-touch, and multi-touch deal counts. Marketing sees which eBook, demo video, or pricing page actually appears in winning deal timelines. Content calendar reorders based on evidence.

How is sales treating leads?

SDR acceptance, response time, conversion.

Marketing sees how SDRs are handling the leads: acceptance rate, average response time, lead-to-opp conversion by SDR. The handoff debate ends because both teams read the same number.

The dashboard anatomy

The default layout, tile by tile.

Strkr's starter marketing KPI dashboard renders at a 12-column grid with hero metrics at top, funnel in the middle, campaign and content tables at the bottom. The layout optimizes for weekly demand gen standup and monthly budget review.

Hero row

MQLs, SQLs, pipeline, closed revenue.

Four counters with trailing-week deltas and twelve-week sparklines. The hero row answers "are we winning this month" at a glance. Each tile drills through to the records.

Source composition

MQLs by source, trailing 90 days.

A stacked bar showing MQL volume by source over trailing 90 days. The composition shift (paid growing, organic flat, events shrinking) tells marketing where to shift budget.

Funnel

MQL to SQL to opp to won.

A horizontal funnel with count at each stage plus conversion rates between adjacent bands. The widening or narrowing of each band tells marketing which handoff is leaking.

Speed-to-lead

Average, slowest 20, trend.

A counter with average speed-to-lead, a sparkline for trend, and a drill-through to the slowest leads. If the average spikes, the slowest-20 list surfaces the specific records that need review.

Campaign ROI table

Row per campaign, trailing quarter.

A sortable table with spend, MQLs, SQLs, pipeline, closed, pipeline-to-spend ratio, closed-to-spend ratio. Marketing renews campaigns based on the row. Low-ratio campaigns surface for pause.

Content attribution

Row per asset, trailing quarter.

A sortable table of content assets with first-touch deal count, last-touch deal count, and multi-touch pipeline. The content calendar reorders based on which assets consistently appear in winning deals.

SDR handoff performance

Per SDR, trailing week.

A ranked table of SDRs with lead acceptance rate, average response time, and lead-to-opp conversion. Marketing and sales ops read the same number. The handoff debate becomes a data conversation.

Pipeline attribution

Trailing 90 days, by source.

A pie or bar showing pipeline opened by source over trailing 90 days. The ratio tells marketing which sources are not just producing MQLs but producing SQL-grade pipeline. Noisy sources get flagged.

Opt-out trend

Rate over trailing 90 days.

A line chart of opt-out rate over 90 days. Rising opt-out rates signal over-sending or wrong segmentation. The alert threshold routes to the ops lead for intervention.

How attribution works

Multi-touch, native, auditable.

Marketing KPI dashboards live and die on attribution quality. Strkr's attribution runs on the same record graph as the sales motion, which eliminates the sync lag and the reconciliation debate that plague stitched stacks.

Session tracking

UTM, referrer, device, visitor ID.

Visitor sessions capture UTM parameters, referrer, device, and a persistent visitor ID. Every form fill carries the session history into the lead record. The attribution starts at the first touch, not the form.

Touch history

Every email, SMS, LINE, in-app.

Every outbound touch (email, SMS, LINE, in-app) logs against the contact record with timestamp, campaign, and content asset. The touch history is the raw material for multi-touch attribution.

Multi-touch model

Default, with alternates.

The default attribution model is multi-touch with position-based weighting. First-touch, last-touch, time-decay, and linear models are available as alternate lenses. The organization picks the primary model and the alternates stay viewable.

Deal attribution

Closed revenue to campaigns.

When a deal closes, the attributed revenue rolls up to each touchpoint based on the model. Campaigns receive credit proportional to their contribution. Content assets receive credit based on which deals they influenced.

Audit trail

Attribution decisions, logged.

Every attribution assignment logs with timestamp, model version, and weighting. When the model changes, historical reports stay consistent with the model at the time. The audit trail satisfies finance and compliance reviews.

Spend sync

Ad platform spend attaches.

Spend data from Google Ads, Meta Ads, LinkedIn Ads syncs daily to the campaign record. The dashboard reports spend alongside pipeline and revenue without a manual CSV export.

What the dashboard runs on

The underpinnings that keep it honest.

A marketing dashboard is only useful if the underlying mechanics are reliable. Five properties keep the surface honest.

Live records

No overnight ETL.

Every tile reads live records at render time. An inbound lead arriving in the last five minutes appears on the dashboard without waiting for the next sync. The number is the number.

Native attribution

Query, not stitched report.

Attribution is a native query against the record graph, not a stitched report assembled from exports. The data model carries attribution context from first visitor touch through deal close, so every report is consistent.

Permission scope

Marketing sees marketing records.

The dashboard inherits the Strkr permission model. Marketing leads see marketing-owned records; sales leads see sales-owned records. Cross-team visibility is explicit and audited.

Alert thresholds

A tile that pages the right person.

Any tile accepts a threshold rule (opt-out rate above 1 percent, speed-to-lead above target, campaign ROI below floor). Alerts route to Slack or email. The dashboard becomes a notification surface.

Pricing and licensing

Included on paid tiers, no viewer bill.

The marketing KPI dashboard is included in the Strkr seat price with no additional licensing. Teams running a 10-person marketing org do not pay 10x for the dashboard. Here is the shape.

No BI license

The engine is included.

The dashboard engine, custom reports, scheduled delivery, external sharing, and attribution reporting are included. No Tableau viewer license, no Looker Studio Pro bill, no Mode seat.

No per-viewer surcharge

Everyone reads for free.

All seats on a paid tier read dashboards. The marketing lead, the campaign manager, the content lead, the sales ops lead, the executive. One seat price covers all of them.

No execution meter

Refresh at any cadence.

Dashboards refresh on every record write. Scheduled delivery runs daily, weekly, or monthly. There is no per-execution meter, per-refresh charge, or query-volume surcharge.

External sharing

Signed URLs for board members.

External sharing via signed URLs is included. Board decks become live dashboards instead of stale PDFs. No per-viewer license for external stakeholders.

API access

For teams that need it.

The underlying data is accessible via API for teams running warehouse-backed analytics alongside the native dashboard. The dashboard is included; API access does not require a secondary platform.

Tenant-isolated

Your data stays yours.

Dashboard data lives in your tenant's scoped execution environment. Nothing pools across tenants for shared benchmarks. The customer-trust posture enterprise buyers ask about is met by default.

A marketing KPI dashboard that defends spend with evidence.

Strkr's marketing dashboard clones from a starter template in one click, reads live records, inherits your permission model, and ships without a BI license. Point your demand gen lead at the trial and watch the first dashboard go live before the next monthly review.

Common questions

What buyers ask about this feature.

How does the marketing KPI dashboard handle attribution?

Multi-touch attribution runs natively on the record graph. Every visitor session captures UTM parameters, referrer, device, and persistent visitor ID. Every outbound touch (email, SMS, LINE, in-app) logs against the contact record. When a deal closes, attributed revenue rolls up to each touchpoint based on the configured model. The default is multi-touch position-based; first-touch, last-touch, time-decay, and linear are available as alternates. Attribution decisions log with timestamp and model version for audit.

Do we need a BI tool like Tableau or Looker for this?

No. The marketing dashboard engine is included in the Strkr seat price with no BI license, no per-viewer surcharge, no execution meter, and no credit limit. External BI tools can still consume Strkr data through the open API if your team already runs on one, but they are not required for the dashboards described on this page.

How does this compare to HubSpot or Marketo reporting?

Three differences. First, the dashboard reads live records at render time rather than scheduled snapshots, so the number is current. Second, attribution runs on the same record graph as the sales motion, so pipeline attributed to a campaign is a native query rather than a stitched report. Third, there is no viewer license or reporting SKU; everyone with a seat reads the dashboards. HubSpot gates advanced reporting to Professional and above; Marketo requires a separate analytics module at additional cost.

Can tiles trigger alerts when thresholds trip?

Yes. Every tile accepts a threshold rule (opt-out rate above 1 percent, speed-to-lead above target, campaign ROI below floor, MQL volume below plan). When the rule trips, the dashboard routes an alert to Slack or email. The dashboard becomes a notification surface in addition to a passive display. Alert history logs alongside the dashboard's edit audit.

Can we share the dashboard with external stakeholders like board members?

Yes. External sharing goes through a signed read-only URL with optional expiration and optional password. The share link respects the dashboard's permission scope. Internal users see the dashboard inside the app; external viewers see it on the signed URL. Every open logs with timestamp and viewer IP. Board decks become live dashboards rather than stale PDFs.

Does the dashboard support ad spend attribution?

Yes. Spend data from Google Ads, Meta Ads, and LinkedIn Ads syncs daily to the campaign record via native integrations. The dashboard reports spend alongside pipeline and revenue without a manual CSV export. Campaign ROI calculations (pipeline-to-spend, closed-to-spend) are native. For ad platforms without native integration, the open API accepts spend data via webhook so a short script keeps the record current.

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