Demand generation teams
Use channel, campaign, cost, and funnel movement to reallocate effort and identify broken conversion steps.
Concept Preview
Fictional sample dataMarketing Overview
Sessions184k
Leads6,240
MQLs1,486
CPL$38
Conversion funnel
184k sessions
21k engaged
6.2k leads
1.5k MQLs
312 opportunities
Lead share by channel
Who This Dashboard Is For
The screen should give campaign teams operational detail while keeping the funnel legible to product, sales, and leadership partners.
Content and lifecycle teams
Use source, landing page, email, and nurture performance to understand which experiences produce qualified action.
Marketing leadership
Use spend, qualified demand, opportunity contribution, and data-quality context to review the portfolio without relying on reach alone.
KPIs and Data
Keep volume, quality, efficiency, and downstream movement together. A cheaper lead is not better when qualification or opportunity progression collapses.
Qualified lead volume
- What it measures
- The count of leads that satisfy a documented marketing-qualified definition during the period.
- Why it belongs
- It adds an agreed quality threshold to raw lead volume and improves handoff conversations with sales.
- How to present it
- Show the count, qualification rate, definition link, and trend. Segment by source without hiding unknown or unattributed records.
Funnel conversion
- What it measures
- The share and count moving between defined stages such as session, lead, MQL, and opportunity.
- Why it belongs
- Stage conversion reveals where attention fails to become a meaningful commercial action.
- How to present it
- Use a funnel with counts and stage-to-stage percentages. Preserve the reporting cohort so late conversions are not mixed carelessly.
Cost per qualified lead
- What it measures
- Included campaign spend divided by qualified leads attributed under the chosen model.
- Why it belongs
- It connects acquisition cost to lead quality instead of rewarding inexpensive but unusable submissions.
- How to present it
- Show spend and qualified-lead count beside the result. Label currency, included costs, attribution model, and delayed conversion window.
Opportunity contribution
- What it measures
- Opportunities associated with marketing interactions under a documented sourcing or influence rule.
- Why it belongs
- It links marketing activity to downstream work while acknowledging that attribution is a model, not an objective fact.
- How to present it
- Separate sourced from influenced outcomes, show counts and value, and disclose the lookback window and multi-touch treatment.
Recommended Layout
Move from funnel health to channel explanation, then to the campaigns and pages that created the movement.
Volume and efficiency
Place sessions, leads, qualified leads, spend, and cost per qualified lead in one controlled summary.
Conversion funnel
Use the widest panel for stage counts, transition rates, and the point where the largest qualified drop occurs.
Channel contribution
Compare organic, paid, email, partner, social, and unattributed traffic using both volume and downstream quality.
Campaign detail
Finish with a sortable table for spend, leads, MQLs, opportunities, conversion, and landing-page context.
Features and Components
Useful marketing components expose definitions and filters rather than presenting one fixed success narrative.
- A conversion funnel with counts, rates, and accessible labels for every stage.
- Channel and campaign filters that preserve unattributed traffic as a visible category.
- A campaign table with spend, lead quality, opportunity contribution, and reporting lag.
- Landing-page and content drill-down with comparable denominators.
- Annotation space for launches, tracking changes, budget shifts, and other events that affect interpretation.
Mistakes to Avoid
Marketing dashboards become generic when they optimize for impressive totals instead of decision quality.
- Leading with vanity metrics.Reach and sessions need engagement, qualification, cost, or downstream context before they support a business decision.
- Presenting attribution as truth.Always state the sourcing, influence, lookback, identity, and multi-touch rules behind attributed outcomes.
- Hiding tracking gaps.Unknown sources, blocked events, consent effects, and naming errors should remain visible rather than redistributed silently.
- Comparing incomplete cohorts.Campaigns with different ages need conversion windows and lag context before performance is ranked.
VibeCodePack Missions Used
These exact feature titles were verified in the inspected VibeCodePack source files. The mapping recommends a frontend mission combination; it does not expose the private instructions inside those files.
Marketing Analytics Dashboard with Conversion Funnel
Provides the core funnel and marketing-performance presentation pattern.
Social Media Metrics Dashboard with Engagement Graphs
Adds a verified source pattern for social-channel trend and engagement views.
Lead Generation Landing Page with Split-Screen Design
Connects the reporting view to the frontend experience that creates a lead.
Interactive Case Study Layout with Data Visualizations
Supports explanation-ready campaign outcomes without inventing customer proof.
Interactive Data Table with Sorting and Pagination
Organizes campaign, channel, landing-page, and content performance details.
Dropdown Menu with Integrated Search and Filters
Provides discoverable filters for channel, campaign, region, audience, and period.
Build This Dashboard With Claude Code
Start by defining the funnel, qualification rule, campaign taxonomy, cost scope, and attribution model. Use separate Claude Code missions for KPI summaries, funnel visualization, channel comparison, campaign details, filtering, and annotations. Review the output with unattributed records, partial periods, tracking changes, and delayed conversions.
The Mission Vault provides structure for frontend implementation; it does not install analytics tags, grant advertising access, resolve identities, ensure consent compliance, or deliver authoritative attribution data.
VibeCodePack supports structured frontend dashboard and UI workflows. Your project must separately provide and validate production databases, APIs, authentication, payments, permissions, live data, and backend services.
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