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App OperationsBeginnerFree during launch

Push Notification Dashboard

A push campaign dashboard for sends, opens, conversion, and opt-out.

35 minHTML / Tailwind / Chart.jsCRM owner

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

Push Notification Dashboard

A push campaign dashboard for sends, opens, conversion, and opt-out.

Free launch recipeOpen live view

Live Recipe

Push Notification Dashboard

A push campaign dashboard for sends, opens, conversion, and opt-out.

Overview · Free launch recipe
Analytics suitebalancedtopbarstat cardsbar chartdonut split

Sends

18,420+8.2%

Open rate

34.8%+2.1%p

Conversion

$84.2K+12.4%

Opt-out

ReadyTracked

Sends trend

Chart.js

Composition

Nivo

Watch List

SendsWatch
Open rateWatch
ConversionWatch

Detail Table

Sends

Sample data

18,420

상태

Open rate

Sample data

34.8%

상태

Conversion

Sample data

$84.2K

상태

Top

Four KPI cards

Middle

Primary trend and segment view

Bottom

Priority table and alerts

KPI Ingredients

Sends

Sends belongs in the primary row when an owner can act on it this week.

Alternative KPI: Sends segment

Open rate

Open rate belongs in the primary row when an owner can act on it this week.

Alternative KPI: Open rate segment

Conversion

Conversion belongs in the primary row when an owner can act on it this week.

Alternative KPI: Conversion segment

Opt-out

Opt-out belongs in the primary row when an owner can act on it this week.

Alternative KPI: Opt-out segment

Code Starter

Copy component starter

const metrics = [
  { label: "Sends", value: "18,420", change: "+8.2%" },
  { label: "Open rate", value: "34.8%", change: "+2.1%p" },
  { label: "Conversion", value: "$84.2K", change: "+12.4%" }
];

export function PushNotificationDashboardPreviewCards() {
  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 Push Notification Dashboard. Put KPI cards for Sends, Open rate, Conversion, Opt-out, 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

Push Notification Dashboard answers this operating question: Do pushes drive return visits or fatigue?. The primary row is not a vanity summary; it decides what an owner should do this week.

The recipe is designed for CRM owner, Early product builders who need to choose data definitions, chart priority, and bottom-row actions quickly.

Data sources and event definitions

  • Push campaign logs, open events, attribution events

Before implementation, define event names, owner, refresh cadence, and missing-data behavior for each source.

Required KPIs and removal rules

Sends

Sends belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: Sends segment

Open rate

Open rate belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: Open rate segment

Conversion

Conversion belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: Conversion segment

Opt-out

Opt-out belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: Opt-out segment

Common failure patterns

Treat isolated movement in Sends as a signal to inspect data definitions or operating bottlenecks.

Treat isolated movement in Open rate as a signal to inspect data definitions or operating bottlenecks.

Treat isolated movement in Conversion as a signal to inspect data definitions or operating bottlenecks.

Treat isolated movement in Opt-out 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.

Sends

Sends = source event aggregate / comparison baseline. Start segmentation by Sends segment.

Daily morning

If Sends moves more than 10% week over week, inspect the causal segment and action table together.

Open rate

Open rate = source event aggregate / comparison baseline. Start segmentation by Open rate segment.

Weekly review

If Open rate moves more than 10% week over week, inspect the causal segment and action table together.

Conversion

Conversion = source event aggregate / comparison baseline. Start segmentation by Conversion segment.

After campaign end

If Conversion moves more than 10% week over week, inspect the causal segment and action table together.

Opt-out

Opt-out = source event aggregate / comparison baseline. Start segmentation by Opt-out segment.

Monthly report

If Opt-out 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.

push_notification.viewed

Source event for Sends. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

push_notification.converted

Source event for Open rate. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

push_notification.risk_flagged

Source event for Conversion. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

push_notification.resolved

Source event for Opt-out. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

Weekly review sequence

  1. 1Separate whether the Sends movement is a real operating issue or short-term noise.
  2. 2Read it with Open rate to narrow the cause to acquisition, conversion, quality, or throughput.
  3. 3Use the bottom table to choose one owner, one segment, and one action for this week.
  4. 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 Push Notification Dashboard prioritize?

Push Notification Dashboard should prioritize Sends, Open rate, Conversion, Opt-out. Keep Sends in the primary row only when an owner can act on it this week.

What data sources are required?

Push campaign logs, open events, attribution events 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.

bootstrap-analytics / light
stat cardsbar chartdonut splitwatch list

Observed pattern

Bootstrap-style analytics templates rely on crisp cards, bar/donut charts, and watch lists for quick comprehension.

Dashcipe adaptation

Dashcipe connects that approach to KPI rationale, chart engine badges, and operating alerts.

Originality guard

Component density and information flow are referenced, not original thumbnails or style tokens.

Free Resources

What you can use for free

Use the KPI logic, layout, code starter, prompt, Figma SVG, schema, and tokens directly.

requestRequest/VotepromptAI PromptKPI logicAI promptRequest queue

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.

CRM owner

Why it matters
Sends is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in Sends as a signal to inspect data definitions or operating bottlenecks.
Data source
Push campaign logs, open events, attribution events
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

CRM owner

Why it matters
Open rate is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in Open rate as a signal to inspect data definitions or operating bottlenecks.
Data source
Push campaign logs, open events, attribution events
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

CRM owner

Why it matters
Conversion is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in Conversion as a signal to inspect data definitions or operating bottlenecks.
Data source
Push campaign logs, open events, attribution events
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

CRM owner

Why it matters
Opt-out is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in Opt-out as a signal to inspect data definitions or operating bottlenecks.
Data source
Push campaign logs, open events, attribution events
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

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