Building Attribution Dashboards: Metrics That Matter

An attribution dashboard is only useful if it helps someone make a decision. A wall of numbers with every possible metric is worse than no dashboard at all. The best attribution dashboards show the right metrics to the right audience at the right time, and they make it obvious what to do next.

This guide covers how to design attribution dashboards. For deep link analytics, see deep link analytics: measuring what matters. For re-engagement attribution, see re-engagement attribution for mobile apps.

Dashboard Audiences

Different stakeholders need different views:

Audience	Needs	Cadence
Marketing team	Campaign performance, channel comparison, budget allocation	Daily
Product team	Feature adoption, onboarding completion, deep link usage	Weekly
Finance/Leadership	ROI, customer acquisition cost, LTV	Monthly
Growth team	Funnel conversion, A/B test results, cohort retention	Daily/Weekly
Fraud team	Anomaly detection, invalid traffic, click patterns	Real-time

Build separate dashboards (or dashboard views) for each audience.

Core Attribution Metrics

Acquisition Metrics

Metric	Definition	Why It Matters
Installs	Total app installs (organic + paid)	Volume indicator
Organic installs	Installs not attributed to paid campaigns	Baseline growth
Paid installs	Installs attributed to ad campaigns	Campaign output
Cost per install (CPI)	Ad spend / paid installs	Acquisition efficiency
Install-to-registration rate	Users who registered / total installs	Quality indicator

Engagement Metrics

Metric	Definition	Why It Matters
Day 1 retention	% of users active 1 day after install	Early engagement signal
Day 7 retention	% of users active 7 days after install	Medium-term engagement
Day 30 retention	% of users active 30 days after install	Long-term engagement
Sessions per user	Average app opens per user per period	Usage depth
Deep link conversion rate	Users who completed the deep link's intended action / total deep link clicks	Link effectiveness

Revenue Metrics

Metric	Definition	Why It Matters
Revenue per install (RPI)	Total revenue / installs (per cohort)	Revenue quality
ROAS (Return on Ad Spend)	Revenue / ad spend	Campaign profitability
LTV (Lifetime Value)	Projected total revenue per user	Long-term value
Payback period	Days until ad spend is recovered in revenue	Cash flow
Cost per paying user	Ad spend / users who made a purchase	Conversion efficiency

Dashboard Layouts

Executive Dashboard

The executive dashboard answers one question: "Is our growth healthy?"

┌──────────────────────────────────────────────────────┐
│ KEY METRICS (THIS MONTH vs LAST MONTH)               │
│ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────────┐ │
│ │ Installs│ │  CPI    │ │  ROAS   │ │ 30-Day LTV  │ │
│ │ 45,200  │ │ $2.80   │ │ 180%    │ │ $12.50      │ │
│ │ +12%    │ │ -8%     │ │ +15%    │ │ +5%         │ │
│ └─────────┘ └─────────┘ └─────────┘ └─────────────┘ │
├──────────────────────────────────────────────────────┤
│ CHANNEL BREAKDOWN          │ ORGANIC vs PAID TREND    │
│ [Stacked bar chart]        │ [Line chart, 90 days]    │
│ - Search: 35%              │                          │
│ - Social: 28%              │                          │
│ - Display: 15%             │                          │
│ - Organic: 22%             │                          │
├────────────────────────────┴─────────────────────────┤
│ RETENTION COHORTS (HEATMAP)                          │
│ Week 1: 65% | Week 2: 45% | Week 4: 30% | Week 8:  │
│ 22%                                                  │
└──────────────────────────────────────────────────────┘

Campaign Manager Dashboard

The campaign manager dashboard answers: "Which campaigns should I scale, optimize, or cut?"

┌──────────────────────────────────────────────────────┐
│ CAMPAIGN PERFORMANCE TABLE (sortable)                │
│ Campaign  │ Spend  │ Installs │ CPI  │ ROAS │ D7 Ret│
│ FB-Search │ $5,200 │ 2,100    │$2.48 │ 210% │ 42%   │
│ GG-UAC   │ $8,100 │ 3,400    │$2.38 │ 195% │ 38%   │
│ TT-Video │ $3,500 │ 1,800    │$1.94 │ 165% │ 35%   │
│ Snap-AR  │ $1,200 │   400    │$3.00 │ 120% │ 28%   │
├──────────────────────────────────────────────────────┤
│ DAILY SPEND vs INSTALLS    │ CPI TREND BY CHANNEL    │
│ [Dual axis line chart]     │ [Line chart, 30 days]   │
├────────────────────────────┴─────────────────────────┤
│ GEO PERFORMANCE            │ CREATIVE PERFORMANCE    │
│ [Map or table by country]  │ [Table by creative ID]  │
└──────────────────────────────────────────────────────┘

Deep Link Analytics Dashboard

Specific to deep link performance:

┌──────────────────────────────────────────────────────┐
│ DEEP LINK CLICKS (THIS WEEK)                         │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ Total    │ │ App Open │ │ Web Fall │ │ Store    │ │
│ │ Clicks   │ │ Rate     │ │ back     │ │ Redirect │ │
│ │ 12,400   │ │ 68%      │ │ 22%      │ │ 10%      │ │
│ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
├──────────────────────────────────────────────────────┤
│ TOP ROUTES BY CLICKS       │ CLICK SOURCES            │
│ /products/savings: 2,100   │ Email: 45%               │
│ /offers/OFFER-123: 1,800   │ Push: 30%                │
│ /dashboard: 1,200          │ Social: 15%              │
│ /referrals: 950            │ QR: 10%                  │
├────────────────────────────┴─────────────────────────┤
│ CONVERSION FUNNEL                                    │
│ Click → App Open → Target Screen → Action Complete   │
│ 12,400 → 8,432 → 7,200 → 3,600                     │
│       68%     85%       50%                          │
└──────────────────────────────────────────────────────┘

Building Effective Visualizations

Choose the Right Chart Type

Data Type	Best Chart	Avoid
Trends over time	Line chart	Pie chart
Channel comparison	Horizontal bar chart	3D bar chart
Funnel conversion	Funnel diagram	Stacked bar
Cohort retention	Heatmap	Line chart (too many lines)
Geographic data	Choropleth map	Table with country flags
Metric vs target	Gauge or bullet chart	Line chart

Dashboard Design Principles

1. Lead with the decision. Put actionable metrics at the top. "Which campaign should I scale?" not "How many clicks did we get?"
2. Show comparisons. A number without context is meaningless. Compare to last period, target, or benchmark.
3. Limit to 5-7 key metrics. If everything is highlighted, nothing is highlighted.
4. Use consistent time ranges. Do not mix weekly and monthly data on the same dashboard.
5. Include filters. Let users drill down by date range, channel, country, and platform (iOS/Android).

Real-Time vs Batch Dashboards

Aspect	Real-Time	Batch (Daily/Weekly)
Use case	Fraud detection, launch monitoring	Performance reporting, trend analysis
Data freshness	Seconds to minutes	Hours to days
Infrastructure cost	Higher (streaming)	Lower (scheduled queries)
Accuracy	May include incomplete data	Complete data for the period

Most attribution dashboards should be batch (daily refresh). Real-time dashboards are only necessary for fraud monitoring and campaign launches.

Common Mistakes

1. Too many metrics. A dashboard with 50 metrics is a spreadsheet, not a dashboard.
2. Vanity metrics. Impressions and clicks look good but do not indicate business impact.
3. No benchmarks. "CPI is $3.00" means nothing without knowing if that is good or bad.
4. Ignoring organic. A campaign that increases paid installs but cannibalizes organic is not truly growing the business.
5. Single-touch reporting. Reporting only last-click attribution ignores the full user journey.
6. No cohort analysis. Aggregate metrics hide whether quality is improving or declining over time.

Tolinku Analytics Dashboard

Tolinku's analytics dashboard provides deep link click tracking, conversion funnels, and attribution data out of the box. View clicks by route, source, platform, and time period. Configure custom charts and funnels in the Tolinku dashboard.

For mobile attribution, see mobile attribution: a developer's guide. For deep link analytics, see deep link analytics: measuring what matters.