Spend
Marketing Campaign Dashboard
A campaign dashboard for spend, ROAS, conversions, and channel performance.
Recipe Workspace
Preview the layout, understand the KPIs, copy the starter
Review the dashboard at a practical desktop ratio first, then use the KPI rationale, code starter, and AI IDE prompt below.
Live Recipe Preview
Marketing Campaign Dashboard
A campaign dashboard for spend, ROAS, conversions, and channel performance.
Live Recipe
Marketing Campaign Dashboard
A campaign dashboard for spend, ROAS, conversions, and channel performance.
ROAS
Conversions
CPA
Spend trend
NivoComposition
VisxWatch List
Detail Table
Spend
Sample data
18,420
상태ROAS
Sample data
34.8%
상태Conversions
Sample data
$84.2K
상태Top
Four KPI cards
Middle
Primary trend and segment view
Bottom
Priority table and alerts
KPI Ingredients
Spend
Spend belongs in the primary row when an owner can act on it this week.
Alternative KPI: Spend segment
ROAS
ROAS belongs in the primary row when an owner can act on it this week.
Alternative KPI: ROAS segment
Conversions
Conversions belongs in the primary row when an owner can act on it this week.
Alternative KPI: Conversions segment
CPA
CPA belongs in the primary row when an owner can act on it this week.
Alternative KPI: CPA segment
Code Starter
Copy component starter
const metrics = [
{ label: "Spend", value: "18,420", change: "+8.2%" },
{ label: "ROAS", value: "34.8%", change: "+2.1%p" },
{ label: "Conversions", value: "$84.2K", change: "+12.4%" }
];
export function MarketingCampaignDashboardPreviewCards() {
return <section className="grid gap-3 md:grid-cols-3">{metrics.map((metric) => <article key={metric.label} className="rounded-xl border border-zinc-200 bg-white p-4"><p className="text-xs font-bold text-zinc-500">{metric.label}</p><strong className="mt-1 block text-2xl font-black">{metric.value}</strong><span className="text-xs font-black text-emerald-600">{metric.change}</span></article>)}</section>;
}AI IDE Prompt
Paste into your AI IDE
Create a Marketing Campaign Dashboard. Put KPI cards for Spend, ROAS, Conversions, CPA, trend and segment charts, a priority table, and empty/loading/error states.
Decision System
Why this dashboard should exist before it is designed
AdSense-quality pages need original explanation, not only screenshots. This section documents the decision, data model, failure patterns, and implementation alternatives.
Operating decision
Marketing Campaign Dashboard answers this operating question: Can data show which channels deserve more or less budget?. The primary row is not a vanity summary; it decides what an owner should do this week.
The recipe is designed for Marketing lead, Early product builders who need to choose data definitions, chart priority, and bottom-row actions quickly.
Data sources and event definitions
- Campaign spend, conversions, attribution
Before implementation, define event names, owner, refresh cadence, and missing-data behavior for each source.
Required KPIs and removal rules
Spend
Spend belongs in the primary row when an owner can act on it this week.
Alternative or removal signal: Spend segment
ROAS
ROAS belongs in the primary row when an owner can act on it this week.
Alternative or removal signal: ROAS segment
Conversions
Conversions belongs in the primary row when an owner can act on it this week.
Alternative or removal signal: Conversions segment
CPA
CPA belongs in the primary row when an owner can act on it this week.
Alternative or removal signal: CPA segment
Common failure patterns
Treat isolated movement in Spend as a signal to inspect data definitions or operating bottlenecks.
Treat isolated movement in ROAS as a signal to inspect data definitions or operating bottlenecks.
Treat isolated movement in Conversions as a signal to inspect data definitions or operating bottlenecks.
Treat isolated movement in CPA as a signal to inspect data definitions or operating bottlenecks.
Alternative layout
For an MVP, keep Four KPI cards. As data matures, expand Primary trend and segment view into segment comparison or cohort analysis.
Implementation Blueprint
KPI audit protocol before implementation
Use this table before designing the UI. Without a formula, review cadence, and action trigger, a dashboard can look polished but still fail to support an operating meeting.
Spend
Spend = source event aggregate / comparison baseline. Start segmentation by Spend segment.
Daily morning
If Spend moves more than 10% week over week, inspect the causal segment and action table together.
ROAS
ROAS = source event aggregate / comparison baseline. Start segmentation by ROAS segment.
Weekly review
If ROAS moves more than 10% week over week, inspect the causal segment and action table together.
Conversions
Conversions = source event aggregate / comparison baseline. Start segmentation by Conversions segment.
After campaign end
If Conversions moves more than 10% week over week, inspect the causal segment and action table together.
CPA
CPA = source event aggregate / comparison baseline. Start segmentation by CPA segment.
Monthly report
If CPA moves more than 10% week over week, inspect the causal segment and action table together.
Event and table starter
When starting from an AI IDE, lock event and table names first. It makes generated components and queries much more consistent.
marketing_campaign.viewed
Source event for Spend. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.
marketing_campaign.converted
Source event for ROAS. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.
marketing_campaign.risk_flagged
Source event for Conversions. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.
marketing_campaign.resolved
Source event for CPA. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.
Weekly review sequence
- 1Separate whether the Spend movement is a real operating issue or short-term noise.
- 2Read it with ROAS to narrow the cause to acquisition, conversion, quality, or throughput.
- 3Use the bottom table to choose one owner, one segment, and one action for this week.
- 4At the next review, adjust the layout based on recovery after the action, not on the same chart alone.
Frequently asked questions
Which KPIs should Marketing Campaign Dashboard prioritize?
Marketing Campaign Dashboard should prioritize Spend, ROAS, Conversions, CPA. Keep Spend in the primary row only when an owner can act on it this week.
What data sources are required?
Campaign spend, conversions, attribution are the baseline sources. Define event names, refresh cadence, owner, and missing-data behavior before implementation.
Can this layout be used for an MVP?
For an MVP, start with Four KPI cards and Primary trend and segment view. Add bottom tables and alerts when operating actions become clear.
Which metrics should be removed?
Remove metrics that cannot trigger an action within one weekly review cycle, have unstable definitions, or behave like vanity metrics without adjacent context.
How should the AI IDE prompt be used?
Use the prompt as a starting point, then add real field names, table names, state UI requirements, and accessibility requirements for your project.
Market Pattern
Marketplace-proven dashboard pattern, rewritten for Dashcipe
This section documents the public preview pattern behind the layout and how Dashcipe changes it into original KPI guidance.
Observed pattern
Large admin suites combine KPIs, trends, segments, and recent activity to make a dashboard feel like a full product.
Dashcipe adaptation
Dashcipe turns that structure into vertical KPI decisions, segment tables, and action feeds rather than a generic demo.
Originality guard
Only the generic information pattern is used; screenshots, spacing, colors, and copy from paid templates are not copied.
Free Resources
What you can use for free
Use the KPI logic, layout, code starter, prompt, Figma SVG, schema, and tokens directly.
Use this recipe when
- The vertical metrics are already roughly known
- You need to prioritize charts and tables quickly
Skip this recipe when
- No events or data definitions exist yet
- You only need a marketing landing page
Expert Notes
How a real operator should read these KPIs
These notes turn each metric into an operating decision, data source, and removal rule.
Marketing lead
- Why it matters
- Spend is not a vanity number; it decides the next operating action.
- Failure signal
- Treat isolated movement in Spend as a signal to inspect data definitions or operating bottlenecks.
- Data source
- Campaign spend, conversions, attribution
- When to remove
- Remove it from the primary row if no owner can act within one weekly review cycle.
Marketing lead
- Why it matters
- ROAS is not a vanity number; it decides the next operating action.
- Failure signal
- Treat isolated movement in ROAS as a signal to inspect data definitions or operating bottlenecks.
- Data source
- Campaign spend, conversions, attribution
- When to remove
- Remove it from the primary row if no owner can act within one weekly review cycle.
Marketing lead
- Why it matters
- Conversions is not a vanity number; it decides the next operating action.
- Failure signal
- Treat isolated movement in Conversions as a signal to inspect data definitions or operating bottlenecks.
- Data source
- Campaign spend, conversions, attribution
- When to remove
- Remove it from the primary row if no owner can act within one weekly review cycle.
Marketing lead
- Why it matters
- CPA is not a vanity number; it decides the next operating action.
- Failure signal
- Treat isolated movement in CPA as a signal to inspect data definitions or operating bottlenecks.
- Data source
- Campaign spend, conversions, attribution
- When to remove
- Remove it from the primary row if no owner can act within one weekly review cycle.
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