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Campaign analytics and reply tracking

A clear view of campaign performance: who received what, who opened, who replied, who unsubscribed, with the data to optimize the next campaign.

CLIENT-ONLY · How-To


Performance metrics you can read and act on.

  • A campaign running at least 24 hours (analytics need send data)
  • The full rebuilt analytics apply to campaigns created on the reworked campaign engine (July 2026 onward). Older campaigns show lighter data; duplicate one to move it onto the new engine
  1. Go to Campaigns and open the campaign. Campaign Analytics sits top right, next to Edit.
  2. The overview shows recipients added, sent, opened, replied, bounced, unsubscribed, each as count and percentage.
  3. KPI cards at the top compare current performance against the previous period. A campaign that’s pulling ahead of its baseline is flagged the moment you open the dashboard.

[SCREENSHOT: Campaign analytics overview with KPI cards]

  1. The funnel walks the campaign from Sent to Delivered to Opened to Replied, with drop-off between each stage. Sent means Wiggli fired the message. Delivered only registers when a confirmation signal comes back (a delivery receipt, open, click, or reply), so a low or zero Delivered count usually means missing confirmation, not a failed send. It reads emptiest on the Wiggli default sender, which returns almost no confirmation data. Connect your own mailbox for reliable delivery and open tracking.
  2. A steep drop between two stages points at what to fix next: subject line, content, or targeting.

[SCREENSHOT: Conversion funnel]

  1. For multi-channel campaigns, email, LinkedIn, and WhatsApp sit side by side in the channel view.
  2. Compare reply rate, open rate (email only), and acceptance rate (LinkedIn requests) across channels to see which channel pulled the weight.
  1. The heatmap plots reply activity across days and hours, based on your own campaign data.
  2. Use it to calibrate the campaign sending schedule. Send-window decisions and timing data live on the same dashboard.

[SCREENSHOT: Best Time to Send heatmap]

  1. Open the Steps tab.
  2. Each step shows send count, open rate (email), reply rate, and conversion to the next step. LinkedIn connection-request steps split into accepted vs pending, so you see exactly how a batch of requests is converting.
  3. A step with low replies may need a content rewrite.
  4. Numbers arrive with a delay: sends run in the background and analytics typically catch up within an hour or two. Judge step performances over the overview counters when they disagree.
  1. Open the Recipients tab.
  2. Each shows status (Active, Paused, Replied, Bounced, Unsubscribed) and current step.
  3. Click a recipient for their full timeline.

Not in Wiggli’s notification center. In your connected inbox: Gmail or Outlook for email, LinkedIn inbox, WhatsApp on your phone. Wiggli registers that a reply happened so it can auto-stop the sequence; you read and respond from your normal inbox.

Sent counts match the recipient list (minus skips). Reply rate of 5-20% is typical for well-targeted cold email. Recipient timelines match your sequence delays.

  • Open rate at 0%. Open rate only tracks email steps. On a LinkedIn-only campaign it stays at 0% because LinkedIn opens can’t be measured, so read acceptance and reply rate instead. On email, many corporate inboxes block image loading, which breaks open tracking even when the message landed. Use reply rate as the reliable signal.
  • High bounce rate. A list-quality issue, not a campaign issue. Rebuild from cleaner sources.
  • Replies counted but not visible. They’re in your connected inbox, not Wiggli. Search your email for the campaign window.
  • Step “In progress” indefinitely. See My campaign is stuck or not sending.
  • Give a campaign time before judging it. Wait a full cycle (7-10 days for a 3-step sequence) before reading the numbers.
  • Read rates against pool size. A 28-profile campaign at a healthy reply rate still produces only a handful of conversations; small pools make percentages jumpy. Grow the pool before rewriting the message.
  • Share campaigns with colleagues to compare what works. A shared campaign lets teammates see the sequence and copy strong messages instead of reinventing them.
  • Reply rate is the truth metric; open rate is directional.
  • Compare step 1 vs step 2 reply rates. A big jump usually means the first email needs rewriting.
  • Archive completed campaigns to keep the active list clean.

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