How to build simple dashboards to follow a launch in real time

Imagine a launch of an advanced Excel course with a R$ 500,000 target where the team only discovers an email deliverability problem 18 hours after it started. The cart opening emails are landing in the spam folder for 34% of the list. By the time the team notices, the attention peak of the first day is gone. In this example, the launch brings in R$ 312,000, 37% below target.

With a dashboard and an automatic alert for a drop in delivery rate, they would have caught the problem in less than an hour and could have taken corrective action, such as switching the sending domain or segmenting the list, before losing the most critical moment of the launch.

A launch dashboard is not a luxury. It is the control panel that lets you make fast, informed decisions when every hour counts.

Before thinking about layout or tools, define which metrics really matter. The most common mistake is wanting to monitor everything, and ending up monitoring nothing in depth. Organize your KPIs into four categories:

Traffic metrics

• Unique visitors on the sales page: raw volume of interested people
• Traffic source: organic, paid, email, social, direct
• Sales page bounce rate: above 70% points to a problem with the headline or the traffic targeting
• Average time on the sales page: under 1 minute suggests the copy is not holding attention

Conversion metrics

• Leads captured (pre-launch): total volume and by source
• Capture page conversion rate: a healthy benchmark is 25-45%
• Sales made: absolute and cumulative volume vs. target
• Sales conversion rate: sales / unique visitors on the sales page
• Average order value: especially relevant with order bumps and upsells
• Cumulative revenue vs. target: the most important number on the dashboard

Email metrics

• Delivery rate: should stay above 95%; below that, something is wrong
• Open rate: per individual email and the sequence average
• Click rate: especially on emails linking to the sales page
• Unsubscribe rate: above 1% per send is a warning sign
• Direct replies: a qualitative engagement indicator

Paid media metrics

• Total spend and spend per platform: Facebook Ads, Google Ads, TikTok Ads
• CPL (Cost per Lead): how much each lead costs per source
• CPA (Cost per Acquisition): how much each sale costs per source
• ROAS (Return on Ad Spend): revenue generated / ad spend

Suppose a launch of a mentoring program where the paid media dashboard reveals, on the second day, that Facebook Ads ROAS is at 1.2x while Google Ads is at 4.8x. The team moves 40% of the Facebook budget to Google in real time. In this example, the launch's overall ROAS goes from 2.1x to 3.4x, bringing in R$ 78,000 more revenue with the same total spend.

You do not need an expensive or complex tool to have an efficient dashboard. The choice depends on your maturity and on the volume of data.

Google Sheets + Looker Studio (free, basic)

For those just starting out, the Google Sheets + Looker Studio (formerly Data Studio) combo is unbeatable on cost-benefit: zero reais. The flow works like this: you gather the data in a Google Sheets spreadsheet (by hand or through integrations such as Zapier) and build visualizations in Looker Studio connected to that spreadsheet. The limitations are manual updates and the difficulty of scaling as the data grows, but for launches with up to 5,000 leads it works perfectly.

Power BI (advanced)

For larger operations with multiple data sources and a need for deeper analysis, Power BI offers native connectors to dozens of platforms, robust data modeling and interactive visualizations. It costs about 55 euros per month per user on the Pro version. The learning curve is steeper, but the analytical power pays off for teams that run recurring launches.

Kiron Funnels (integrated, native)

For those already using Kiron as their funnel management platform, the launch dashboard is native and integrated. Lead, sales, email and paid media data are consolidated automatically, with no manual setup or external integrations. The main advantage is having every metric in one place, updated in real time, with configurable alerts.

The visual organization of the dashboard is as important as the data it shows. A confusing layout defeats the purpose of having a control panel. We recommend splitting the dashboard into four quadrants:

┌─────────────────────────────┬─────────────────────────────┐
│                             │                             │
│   QUADRANT 1                │   QUADRANT 2                │
│   Overview                  │   Conversion Funnel         │
│                             │                             │
│   Revenue: R$ 187,400       │   Visitors:    12,340       │
│   Target:  R$ 300,000       │   Leads:        4,890       │
│   % Target: 62.5%           │   Checkouts:      892       │
│   Sales:   374              │   Sales:          374       │
│   AOV:     R$ 501           │   Overall conv.: 3.03%      │
│                             │                             │
├─────────────────────────────┼─────────────────────────────┤
│                             │                             │
│   QUADRANT 3                │   QUADRANT 4                │
│   Traffic and Sources       │   Email and Engagement      │
│                             │                             │
│   Facebook:  6,120 (49.6%)  │   Delivery: 97.2%           │
│   Google:    3,210 (26.0%)  │   Open:     34.8%           │
│   Email:     2,150 (17.4%)  │   Click:    12.1%           │
│   Organic:     860 (7.0%)   │   Unsub.:    0.4%           │
│   ROAS FB: 2.1x             │   Replies:  187             │
│   ROAS Google: 4.8x         │                             │
│                             │                             │
└─────────────────────────────┴─────────────────────────────┘

The numbers above are illustrative, simulating an Excel course launch. Each quadrant has a clear purpose:

Quadrant 1 (Overview): the numbers the business owner wants to see first. Cumulative revenue, progress toward the target, sales volume and average order value. This quadrant answers the question: "Are we on track?"

Quadrant 2 (Conversion Funnel): shows where leads are getting stuck. If many visit the page but few reach checkout, the problem is in the copy or the offer. If many reach checkout but few buy, the problem is the price, the payment method or trust.

Quadrant 3 (Traffic and Sources): shows which channels are performing and where to invest more (or less). ROAS per source is the most actionable data point in this quadrant.

Quadrant 4 (Email and Engagement): monitors the health of email communication, which in many launches can account for something like 40-60% of sales.

Not every phase of the launch needs the same monitoring frequency. Setting the right cadence avoids two extremes: neglect (looking once a day) and obsession (refreshing every 5 minutes without acting).

Pre-launch (lead capture): update every 4-6 hours. In this phase, the data changes gradually. The focus is monitoring lead volume, CPL and the capture page conversion rate. Sudden changes are rare, but when they happen (e.g. a rejected ad, a page down), they need to be caught within the same shift.

Cart opening day: update every 15-30 minutes. The first day concentrates 30-50% of sales in many launches. Every lost hour has a direct impact on revenue. Watch especially the delivery rate of the opening emails, the traffic on the sales page and the first conversions.

Middle of the launch (days 2-5): update every 1-2 hours. The pace slows down, but strategic decisions are made here: reinforcing scarcity, sending objection emails, adjusting the ad budget. Data from this period shows whether the target will be hit or whether adjustments are needed.

Last day (cart close): update every 15-30 minutes. The sense of urgency creates a sales peak in the final hours. Monitor in real time to make sure the infrastructure is handling the volume, the emails are being delivered and the page is up.

The ideal dashboard does not depend on someone staring at it all the time. Set automatic alerts for the most critical situations. Each alert should have a severity level and a recommended action:

Yellow alert (attention):

• ROAS of any source drops below 2x: consider moving budget
• Email open rate drops 20%+ compared with the previous email: review subject line and send time
• Traffic drops 40%+ compared with the same period of the previous day: check ads and links
• Sales page conversion rate drops below 1%: review copy or offer

Red alert (immediate action):

• ROAS of any source drops below 1x: pause the campaign immediately
• Email delivery rate drops below 90%: possible blacklist, switch domain or IP
• Sales page down for more than 5 minutes: call infrastructure
• Zero sales for more than 2 hours while the cart is open: check checkout and payment gateway
• Unsubscribe rate above 2% on a single send: review segmentation and frequency

To implement these alerts, you can use conditional rules in Google Sheets that send email notifications, Zapier webhooks that fire messages to Slack or Telegram, or, natively, the built-in Kiron Funnels alerts that monitor your KPIs automatically and notify you by email or push.

These are the mistakes that repeat most often when building and using dashboards:

Monitoring too many metrics. A dashboard with 30 metrics is not a dashboard: it is a spreadsheet. Stick to 10-15 essential KPIs. If a metric does not lead to a concrete action, it does not need to be on the main dashboard. Create a secondary panel for supporting metrics.

Showing numbers without context. "412 sales" means nothing on its own. "412 sales out of 600 (68.7% of target)" is actionable. Always show metrics against a reference: the target, the previous period, the previous launch or a market benchmark.

Relying on manual updates. If someone has to copy and paste data every hour, the dashboard will fail exactly at the most critical moment, when the team is busy solving problems. Automate data collection as much as possible. If you cannot automate everything, assign an owner and an update checklist with fixed times.

Not sharing with the team. A dashboard only the manager can open loses 80% of its value. Share it with everyone involved in the launch: traffic, copywriter, support, finance. When everyone sees the same numbers, decisions are faster and aligned.

Ignoring mobile. During a launch, you will not always be in front of the computer. Make sure your dashboard is accessible and readable on the phone. Looker Studio and Power BI have mobile versions. Kiron Funnels is responsive by default.

A good launch dashboard does not need to be pretty or sophisticated: it needs to be clear, up to date and actionable. Start with the basics: revenue vs. target, conversion funnel, traffic by source and email metrics. Add alerts for the critical scenarios. Share it with the team. And, above all, use the data to make decisions, not just to watch.

The goal is not a perfect panel. It is having enough information to act fast when something goes off plan, and to double down when something works better than expected.

Want a launch dashboard that builds itself? Kiron Funnels consolidates leads, sales, emails and paid media in a single panel updated in real time, with automatic alerts so you never miss an important signal during your launch.