Home › Blog › Build a Free Cold Email Dashboard from the Smartlead API
Sequencer dashboards show you what the sequencer wants to show you, one workspace at a time, with metrics you cannot redefine. Pulling the raw data through the API into Google Sheets and Looker Studio gets you every campaign, every client, and your own definitions, for free. Here is the whole build.

A scheduled job (Apps Script or n8n) pulls campaigns, sends, bounces, replies, and lead statuses from the Smartlead API into Google Sheets daily, one row per campaign per day, idempotent. Looker Studio renders it free. Track the reply-rate ladder and bounce rate; exclude opens and clicks on purpose. Same model absorbs Instantly's API, one dashboard across every workspace and client.
campaigns_daily: date | workspace | client | campaign_id | campaign | prospects_contacted | sends | hard_bounces | replies_total | replies_human | replies_positive | meetings replies_log: date | campaign_id | prospect_email | intent | confidence | summary (from the classifier) computed (formulas / Looker): bounce_rate = hard_bounces / sends positive_rr = replies_positive / prospects pos_to_meeting = meetings / replies_positive
Connect the Sheet as a data source and build four views: a program overview (all campaigns, the ladder metrics, 30-day trend), a campaign drilldown (daily series for one campaign), a client view (filtered by the client column, shareable as a read-only link, which quietly becomes your client reporting), and an alarm view (any campaign with bounce rate above 3% or positive rate collapsing week over week, per the stop rules). The alarm view is the one you check daily; the rest exist for weekly reviews and clients.
Three layers: extraction, storage, visualization. A scheduled script (Apps Script inside Sheets, or n8n/Make on a timer) calls the Smartlead API for campaigns, sends, bounces, replies, and lead statuses, and appends rows into Google Sheets, one tab per entity, one row per day per campaign. Looker Studio connects to the Sheet free and renders the charts. Instantly's API follows the same shape, so an agency running both tools lands everything in one model. Under 100 campaigns, Sheets is plenty; past that, swap the storage layer for BigQuery and keep everything else.
Per campaign per day: prospects contacted, sends, hard bounces, total replies, human replies, positive replies, and meetings. From those, the computed layer: bounce rate, the reply-rate ladder, and trendlines. Deliberately exclude opens and clicks, bots inflate them and they will poison decisions. The win over the native dashboard is definitional control: positive reply rate calculated YOUR way, per prospect, consistently across every workspace.
The API gives you reply events and text; classification is your layer. Route replies through an intent classifier (an LLM step in the same n8n flow works) and write the category back as a column, then the dashboard aggregates by intent. Without classification you can still ship v1 with total replies and add the intent column later, the schema should anticipate it from day one.
Daily is right for reporting, hourly adds nothing but API load since decisions are made on daily trends. Run it early morning for yesterday's complete numbers. Two robustness rules: make the job idempotent (re-running a day overwrites that day, not appends duplicates), and log failures somewhere visible, a silent extraction failure that gaps your data for a week is the classic way these dashboards die.
The build is a few hours and the run cost is zero, versus per-seat pricing for outbound reporting SaaS that still will not match your metric definitions. The real value is agency-shaped: one dashboard across every client workspace, client-facing filtered views, and metrics that survive switching sequencers, because the moment you migrate tools, your history lives in your Sheet, not their UI.
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