Campaign history

Campaign history gives you a chronological record of every email campaign InboxEagle has processed for your tracked brands or connected accounts. For each campaign, you can see which inbox folder emails landed in — broken down by mailbox provider and sending domain — so you can trace deliverability changes back to specific sends.

Access campaign history from Deliverability → Campaign History in the left sidebar, or at app.inboxeagle.com/deliverability-dashboard/campaign-history.

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Reading the campaign history table

Each row in the campaign history table represents a single email campaign or send. The columns are:

Column	Description
Subject line	The email subject as detected by InboxEagle
Sending domain	The From domain used for this campaign (e.g. mail.yourcompany.com)
Sent date	Date and approximate time the campaign was sent
IP address	The sending IP address (or IP pool used)
Inbox rate	Percentage of seed emails that landed in the primary inbox
Promotions rate	Percentage that landed in Gmail’s Promotions tab
Spam rate	Percentage that landed in the spam or junk folder
List / Segment	The audience this campaign was sent to (if available via Klaviyo)

Click any row to open the campaign detail view with a per-provider breakdown.

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Campaign detail view

The campaign detail view shows placement broken down by individual mailbox provider:

Provider	Inbox	Promotions	Spam	Unknown
Gmail	%	%	%	%
Yahoo	%	N/A	%	%
Outlook	%	N/A	%	%
AOL	%	N/A	%	%
Other	%	N/A	%	%

This breakdown is critical for diagnosing provider-specific issues. For example:

• High Gmail spam, low Yahoo spam → Check Gmail-specific authentication or sender reputation. Review your DMARC policy and ensure DKIM is aligned.
• High Yahoo spam only → Yahoo complaint rate may be elevated. Suppress recent complainers and check your reverse DNS (PTR) records.
• All providers showing spam → A global reputation or authentication problem. Check your IP blacklist status and SPF/DKIM records immediately.

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Filtering and sorting

Use the controls above the campaign table to narrow your view:

• Date range — Filter by the campaign send date (last 7d, 30d, 90d, or custom)
• Domain filter — Show campaigns from a specific sending domain only
• Search — Search by subject line keyword

Sort the table by any column header — click once to sort ascending, click again for descending. Sorting by spam rate descending is a quick way to surface your worst-performing campaigns.

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Tracking inbox placement trends

Look at the Inbox rate column across time to spot trends:

• Gradual decline — Often signals list decay. Recipients who no longer engage pull down reputation scores over weeks or months. Consider a re-engagement or sunset campaign.
• Sudden drop on a specific date — Correlates with a configuration change (new IP, new sending domain, authentication break), a spam complaint spike, or a large send to an unengaged segment.
• Provider-specific drop — If only Gmail rates decline, investigate DMARC alignment or Gmail-specific spam filter triggers. If only Yahoo, look at complaint data.

Note

A “healthy” inbox rate varies by industry and list quality. Consumer marketing senders should target >80% inbox placement. B2B senders with opt-in lists typically achieve >90%. Promotional senders (retail, e-commerce) may see 10–30% in Gmail Promotions, which is expected and does not indicate a problem.

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Exporting campaign history

To export campaign data for your own analysis:

1. Apply the date range and domain filters you want to export
2. Click Export (top-right of the table)
3. Choose CSV format
4. The file downloads with all visible columns for the filtered view

Note

Export requires a Basic or Agency plan. Free plan users can view campaign history in the app but cannot export.

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Correlating with Bot Finder data

If you have Bot Finder connected (AWS SES integration), you can correlate campaign history placement rates with the bot-filtered engagement data:

1. Note the campaign subject line and send date from campaign history
2. Go to Bot Finder → Dashboard and select the matching date range
3. Check the bot rate for that campaign in the events chart
4. High bot rates on a campaign often correlate with lower inbox placement — bots triggering spam filter checks

A campaign that shows good deliverability (high inbox rate) but poor engagement (low CTOR after bot filtering) suggests a content relevance or segmentation issue rather than a deliverability problem.

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Correlating with Google Postmaster data

For domains connected to Google Postmaster Tools, you can cross-reference campaign history timestamps with:

• Domain reputation status (was it “High” or “Low” around that send date?)
• Spam rate curve (did complaint rate spike after this campaign?)
• Authentication stats (did SPF or DKIM pass rates drop?)

This multi-source view gives you the clearest possible picture of what happened during a specific campaign.

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Next steps

• Deliverability dashboard overview — Aggregate view across all campaigns
• Sending domains — Analyze per-domain performance
• IP reputation — Investigate IP-level health
• Improve inbox placement — Tactics for better placement rates

Open campaign history →