Marketing dashboards
Connect marketing spend to pipeline and revenue
Leads live in HubSpot or Marketo, traffic in GA4, spend in the ad platforms and revenue in Salesforce. RapidDashboard joins them in a private data store and gives CMOs and marketing managers one view from spend to closed revenue, in one plain-English question.
Live examples
One question, one full dashboard
Pick a question. RapidDashboard answers with KPIs, charts, the records behind them and an AI summary of what to do next. Hover any chart for values or open its table view.
What is our blended CAC by acquisition channel this quarter, and which channels are above the $800 target?
Customer acquisition cost
Blended CAC
$901
+$101 vs $800 target
New customers
192
+15% vs Q2 (167)
Referral CAC
$290
14 customers up from 6 in Q2
Paid social CAC
$1,840
2.3× target $33.1K for 18 customers
CAC target: $800
| Channel | Program spend | New customers | CAC | vs $800 target | Status |
|---|---|---|---|---|---|
| Paid social | $33.1K | 18 | $1,840 | +$1,040 | Cut $15K |
| Paid search | $29.1K | 26 | $1,120 | +$320 | Trim ad sets |
| Events | $52.0K | 54 | $963 | +$163 | Review |
| Content & SEO | $38.0K | 58 | $655 | -$145 | On target |
| Referral | $4.1K | 14 | $290 | -$510 | Add $15K |
What changed and what to do
- Critical: Paid social costs $1,840 per new customer, 2.3 times the target, on $33.1K of spend for 18 customers.
- Good: Referral brought in 14 customers at $290 each, up from 6 in Q2, the lowest CAC of any channel.
- Info: Blended CAC rose to $901 even as new customers grew 15%, because spend grew fastest in the two paid channels.
AI summary
Tidewater added 192 customers in Q3 at a blended CAC of $901, $101 above the $800 target. Paid social is the main driver at $1,840 per customer, while referral is the most efficient channel at $290 and growing fast. Recommend moving $15K of paid social budget into referral incentives next quarter and reworking paid social targeting and creative before it scales again.
Ask next
- CAC payback by channel
- What if we move $15K to referral?
- Show CAC trend for paid search
Show MQL to SQL conversion by lead source. Which sources deliver the best qualified leads?
Lead funnel & MQL to SQL
MQL to SQL
22%
-4 pts vs Q2
MQLs
3,100
+18% vs Q2
SQLs
695
+2% vs Q2 (683)
Webinar MQL to SQL
41%
+1 pt best source
- MQLs 3,100
- SQLs 695 22%
- Opportunities 512 74%
- Closed won 178 35%
- Webinar
- All sources
- Content syndication
| Webinar | All sources | Content syndication | |
|---|---|---|---|
| Oct | 38% | 27% | 14% |
| Nov | 39% | 27% | 13% |
| Dec | 40% | 28% | 13% |
| Jan | 39% | 27% | 12% |
| Feb | 40% | 27% | 11% |
| Mar | 41% | 26% | 11% |
| Apr | 40% | 26% | 10% |
| May | 41% | 26% | 9% |
| Jun | 40% | 26% | 9% |
| Jul | 41% | 24% | 7% |
| Aug | 42% | 22% | 6% |
| Sep | 41% | 21% | 5% |
What changed and what to do
- Critical: Content syndication produced 180 MQLs this quarter and 11 SQLs, a 6% conversion rate that has fallen every quarter this year.
- Good: Webinar leads convert to SQL at 41% and close 28% faster than the average lead.
- Warning: MQLs grew 18% while SQLs rose 2% to 695, so the conversion drop comes from added low-intent volume.
AI summary
MQL to SQL conversion fell 4 points to 22% in Q3. MQL volume grew 18% while SQLs rose only 2% to 695, which means the new volume came mostly from low-intent sources such as paid social and content syndication. Webinar leads remain the strongest signal at 41%. Recommend halving the content syndication budget and redirecting it to webinar production and promotion.
Ask next
- Which MQL criteria drive the most rejects?
- Lead velocity by source
- SQL to opportunity rate by rep
Which content pieces drove the most organic traffic and pipeline this quarter, and which formats earn their place?
Content performance
Pieces published
24
+6 vs Q2
Organic sessions
86.4K
+12% site-wide
Pipeline influenced
$680K
+$140K from Q3 pieces
Under 200 sessions
14 / 24
58% of Q3 pieces
| Item | Organic sessions | Pipeline influenced |
|---|---|---|
| Cloud backup vendors compared | 12.4K | $214K |
| Tidewater vs on-prem: cost guide | 8.1K | $148K |
| Backup buyer checklist | 6.6K | $100K |
| 3-2-1 backup rule explained | 7.4K | $22K |
| How to test a restore | 5.2K | $46K |
| Ransomware recovery plan template | 4.8K | $38K |
| Customer story: Brightline Clinics | 1.1K | $40K |
| Customer story: Harbor Credit Union | 0.9K | $30K |
| Backup glossary | 0.4K | $6K |
| Q3 product update | 0.3K | $8K |
- Comparison guides$462K68%
- How-to articles$118K17%
- Case studies$70K10%
- Other$30K4%
| Segment | Value | Share |
|---|---|---|
| Comparison guides | $462K | 68% |
| How-to articles | $118K | 17% |
| Case studies | $70K | 10% |
| Other | $30K | 4% |
| Title | Format | Sessions | Pipeline influenced | Status |
|---|---|---|---|---|
| Cloud backup vendors compared (2026) | Comparison guide | 12.4K | $214K | Promote more |
| Tidewater vs on-prem backup: cost guide | Comparison guide | 8.1K | $148K | Promote more |
| Backup software buyer checklist | Comparison guide | 6.6K | $100K | Refresh CTA |
| 3-2-1 backup rule explained | How-to | 7.4K | $22K | Add demo CTA |
| Customer story: Brightline Clinics | Case study | 1.1K | $40K | Use in sales |
What changed and what to do
- Good: The three comparison guides drove $462K, 68% of the pipeline influenced by Q3 content.
- Warning: 14 of 24 pieces published this quarter drew fewer than 200 organic sessions.
- Info: The 3-2-1 backup rule article draws 7.4K sessions and $22K of pipeline. A demo call to action could convert more of that traffic.
AI summary
Tidewater published 24 pieces in Q3, and they influenced $680K of pipeline. Three comparison guides account for 68% of that total, while 14 pieces drew fewer than 200 sessions. Case studies earn pipeline out of proportion to their traffic, which makes them strong sales assets. Recommend publishing fewer pieces next quarter with a larger promotion budget per piece, weighted toward comparison guides and case studies.
Ask next
- Which keywords bring comparison guide traffic?
- Content-assisted deals by stage
- Show decay for last year's top pieces
Show closed revenue attribution by campaign this quarter, first-touch and multi-touch, and which campaigns returned the most on spend.
Revenue attribution
Marketing-influenced revenue
$1.80M
56% of $3.20M closed
Marketing-sourced revenue
$1.12M
+$0.14M vs Q2
Top campaign
$340K
Webinars first-touch revenue
Google Ads return
1.27×
-0.4× multi-touch revenue ÷ spend
| Step | Change |
|---|---|
| Mktg sourced | $1.12M |
| Mktg influenced | +$0.68M |
| Sales only | +$1.40M |
| Total closed | $3.20M |
| Campaign | Channel | Spend | Multi-touch revenue | Return on spend | Status |
|---|---|---|---|---|---|
| Backup buyer guide | Content & SEO | $12.0K | $260K | 21.7× | Scale |
| Summer webinar series | Webinars | $16.7K | $290K | 17.4× | Scale |
| IT Expo and regional events | Events | $52.0K | $130K | 2.5× | Hold |
| LinkedIn and Meta campaigns | Paid social | $33.1K | $54K | 1.6× | Shift $15K |
| Google Ads, generic terms | Paid search | $29.1K | $37K | 1.27× | Pause weak ad sets |
What changed and what to do
- Good: The summer webinar series generated $340K of first-touch revenue on $16.7K of spend, the strongest campaign this quarter.
- Critical: Google Ads returned 1.27 times its $29.1K spend on a multi-touch basis, the lowest return in the paid mix.
- Info: Marketing sourced $1.12M and influenced another $0.68M, together 56% of the $3.20M closed in Q3.
AI summary
Marketing touched $1.80M of the $3.20M closed in Q3, sourcing $1.12M directly. Webinars and the SEO buyer guide lead on both first-touch and multi-touch views, returning 17 to 22 times their spend. Google Ads and paid social return under 2 times. Recommend pausing the weakest Google Ads ad sets and moving that budget to webinar promotion and the SEO program, which produce a disproportionate share of pipeline.
Ask next
- Compare first-touch and W-shaped models
- Which campaigns touch enterprise deals?
- Show time from first touch to close
How did Q3 marketing spend pace against budget by program, and are we on track for the monthly pipeline target?
Budget pacing & pipeline sourced
Q3 spend
$297K
99% of $300K budget
Programs over budget
2
+1 Paid social, Events
Pipeline sourced
$4.1M
13.8× of Q3 spend
Demo requests
473
+11% vs Q2
- Events$52.0K / $45K
- Paid social$33.1K / $26K
- Martech and team programs$124K / $124K
- Content & SEO$38.0K / $40K
- Paid search$29.1K / $30K
- Webinars$16.7K / $25K
- Referral incentives$4.1K / $10K
- Pipeline sourced
- Monthly target $1.4M
| Pipeline sourced | |
|---|---|
| Oct | $1.02M |
| Nov | $1.08M |
| Dec | $0.96M |
| Jan | $1.10M |
| Feb | $1.15M |
| Mar | $1.21M |
| Apr | $1.18M |
| May | $1.25M |
| Jun | $1.29M |
| Jul | $1.30M |
| Aug | $1.42M |
| Sep | $1.38M |
What changed and what to do
- Warning: Events ran $7K over budget and paid social $7.1K over, offset by underspend in webinars and referral incentives.
- Info: Demo requests peak Tuesday and Wednesday between 9 and noon. Those six hours bring in 22% of the week's requests.
- Good: Marketing sourced $4.1M of pipeline in Q3, 13.8 times spend, and met the $1.4M monthly target in August.
AI summary
Q3 marketing spend landed at $297K, 99% of budget, with overspend in events and paid social balanced by unspent webinar and referral budget. Marketing sourced $4.1M of pipeline, close to the $4.2M quarterly target, after reaching the monthly target in August. Recommend moving the unspent webinar and referral budget into Q4 webinar and referral programs, and staffing SDR coverage for the Tuesday and Wednesday morning demo peak.
Ask next
- Forecast Q4 spend by program
- Pipeline sourced per $1 by channel
- Show demo request to meeting rate
Sample data for a fictional company. Your dashboards run on your own connected systems.
Sound familiar?
Where the numbers live today
CAC depends on the source
The answer to "what is our CAC?" changes with the tool you pull from and the spend you include.
Lead quality is a debate
MQLs rise while sales reports softer quality, and settling it takes data from three systems.
Content stops at the session
Top pieces are easy to name, and tying them to closed pipeline means joining HubSpot, GA4 and Salesforce by hand.
Campaign reports take two days
By the time an analyst assembles the numbers, the campaign has run another two weeks.
Metrics glossary
The metrics behind these dashboards
How each number is defined, so everyone reads it the same way.
- CAC (Customer Acquisition Cost)
-
The average cost to win one new customer. Blended CAC uses total acquisition spend; channel CAC uses only that channel's spend.
FormulaAcquisition spend ÷ New customers acquired
- MQL to SQL conversion rate
-
The share of marketing qualified leads that sales accepts as sales qualified leads.
FormulaSQLs ÷ MQLs, for the same period or cohort
- Marketing-sourced pipeline
-
The value of opportunities whose first recorded touch came from a marketing program.
FormulaSum of opportunity value where original source is marketing
- Marketing-influenced revenue
-
Closed revenue from deals that had at least one marketing touch before close, whatever the original source.
FormulaSum of closed won value with one or more marketing touches
- ROAS (Return on Ad Spend)
-
Revenue attributed to an ad campaign for each dollar spent on it.
FormulaAttributed revenue ÷ Ad spend
- Multi-touch attribution
-
A model that splits credit for a deal across the marketing touches that preceded it, such as linear, U-shaped or W-shaped.
FormulaDeal value × Credit weight per touch
Connections
How your systems connect
Supported APIs and exports sync into a private RapidDashboard store you approve. Dashboards read from that store, so source systems keep their normal load.
HubSpot / Marketo
PullsLeads, lifecycle stages, MQL dates, campaign members, email metrics
Official REST APIs on a scheduled sync into your private data store.
GA4 / Semrush
PullsSessions, conversions, landing pages, keyword rankings
GA4 Data API and Semrush API, mapped to lead source and content piece.
Salesforce
PullsOpportunities, closed revenue, campaign influence, deal source
Vendor-supported APIs that link marketing touches to revenue outcomes.
Google Ads / LinkedIn / Meta
PullsSpend, impressions, clicks, conversions by campaign
Ad platform APIs synced daily so CAC and return on spend use actual spend.
What you can build
Dashboards and reports teams build next
Demand & CAC
- CAC by channel and campaign
- Spend efficiency trends
- Budget reallocation scenarios
Funnel health
- MQL to SQL by source
- Lead velocity
- Stage conversion trends
Content & attribution
- Pipeline influenced by piece
- First-touch vs multi-touch
- Return on spend by campaign
Marketing reports
- Weekly demand summary
- Monthly CMO board slide
- Campaign post-mortems
First-party data, private by design
Marketing data includes customer behavior, contact records and campaign strategy. RapidDashboard keeps it in a private data store you control, with role-based access for agencies and internal teams. AI features are optional and run on enterprise endpoints whose terms prohibit training on your data.
FAQ
Marketing dashboards: common questions
What should a marketing dashboard show?
Most CMOs track CAC by channel, MQL to SQL conversion, marketing-sourced pipeline, attributed revenue and budget pacing. Content performance and return on ad spend round out the weekly view. RapidDashboard builds each from a plain-English question against your marketing automation, analytics and CRM data.
How do you calculate customer acquisition cost?
CAC equals acquisition spend divided by the number of new customers acquired in the same period. For example, $33.1K of paid social spend that produced 18 customers is a CAC of about $1,840. Deciding up front whether to include salaries and tools keeps the number consistent between reports.
What is a good MQL to SQL conversion rate?
It varies widely by industry, deal size and how strictly MQLs are defined, so the most useful benchmark is your own rate by source over time. Comparing sources side by side, such as webinars against content syndication, shows where lead quality is strongest. A falling rate while MQL volume rises usually points to looser lead criteria or lower-intent sources.
What is the difference between first-touch and multi-touch attribution?
First-touch attribution gives all credit for a deal to the first marketing interaction. Multi-touch attribution spreads credit across every touch before the close, using a model such as linear or W-shaped. Viewing both shows which programs start conversations and which help close them.
Can RapidDashboard connect HubSpot, Salesforce and GA4?
Yes. HubSpot, Marketo, Salesforce, GA4 and the major ad platforms connect through their official APIs and sync on a schedule into one private data store. That lets one dashboard follow a lead from first session to closed revenue.
Keep exploring
Related example dashboards
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