Metric Definition
Inbox placement health
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Email deliverability analysis
Email deliverability analysis is the process of measuring whether sent email reaches the inbox rather than the spam folder or being blocked entirely. It separates the share that was accepted by a mailbox provider from the share that actually landed where a person would see it. Done well, it explains a fall in opens and clicks that has nothing to do with the message and everything to do with where it was filed.
8 min read
What is email deliverability analysis?
Email deliverability analysis is the process of measuring whether sent email reaches the inbox rather than the spam folder or being blocked entirely. It is easy to confuse with delivery rate, but the two are different. Delivery rate counts emails that a mailbox provider accepted without bouncing. Deliverability, or inbox placement, counts the much smaller set that landed where a person would actually see it.
The gap between the two is where revenue quietly leaks. An email can be accepted by a provider, so it never bounces, and then be filed in spam, where it is never opened. If a campaign sends 10,000 emails, 9,800 are accepted, and only 8,500 reach the inbox, the delivery rate is 98 per cent but the inbox placement rate is 85 per cent. The 1,300 emails sitting in spam look delivered on every report that tracks bounces alone.
Deliverability is driven by reputation, authentication, and engagement, not by message content alone. Mailbox providers score the sending domain and IP on past behaviour, check that the sender is who it claims to be, and watch how recipients react. A sender that authenticates correctly, keeps complaints low, and mails people who open is rewarded with the inbox. A sender that does not is throttled or filtered.
Delivery rate and inbox placement are not the same metric. A 99 per cent delivery rate can hide a 70 per cent inbox placement rate, because accepted email still ends up in spam. Always measure inbox placement through seed lists or provider data, not just the absence of a bounce.
How to calculate email deliverability analysis
Inbox placement rate is inbox-delivered emails over total sent. The numerator is the hard part, because most sending platforms only report acceptance, not placement. Inbox data comes from seed-list testing, where you mail a set of monitored accounts across providers, or from provider feedback such as Google Postmaster Tools.
Work through the inputs in order. Each one isolates a different point where email can be lost between send and the inbox.
- 1
Emails sent
Count the total dispatched in the send. This is the denominator and the starting point for every downstream rate.
- 2
Bounces and blocks
Subtract hard bounces, soft bounces, and provider blocks to find what was accepted. A rising bounce rate is an early warning of list or reputation decay.
- 3
Inbox versus spam placement
Use seed-list results or provider data to split accepted email into inbox and spam. This split is the heart of deliverability and is invisible to bounce-only reporting.
- 4
Reputation and authentication signals
Read the complaint rate, spam-trap hits, and the pass rate for SPF, DKIM, and DMARC. These explain why placement is where it is and what to fix.
Email deliverability analysis in a metric tree
A single inbox placement number tells you something is wrong but not where. A metric tree breaks deliverability into the underlying causes a team can act on, so a drop in placement points to a specific failure rather than a general worry.
The decomposition below separates the signals mailbox providers actually use: whether you are who you claim to be, how clean the list is, and how recipients react. Reading it top to bottom shows why placement can fall even when nothing about the message changed, because reputation is built from behaviour over time.
Metric tree insight
KPI Tree lets you model inbox placement as a tree where each branch has an accountable owner. Authentication sits with the technical lead, list hygiene with the lifecycle team, and engagement with the content owner. When placement drops, the change is pushed to the owner of the branch that caused it, so a DMARC failure reaches the engineer and a rising complaint rate reaches the marketer, and the verified impact loop confirms whether a fix such as a list cleanse actually restored placement.
Email deliverability analysis benchmarks
Deliverability benchmarks are firmer than most marketing metrics, because mailbox providers apply broadly consistent thresholds. The ranges below reflect what healthy sending looks like across major providers. Complaint rate in particular is a hard ceiling: cross it and placement falls fast regardless of everything else.
| Deliverability measure | At risk | Healthy | Strong |
|---|---|---|---|
| Inbox placement rate | Under 80 per cent | 80 to 90 per cent | Over 90 per cent |
| Hard bounce rate | Over 2 per cent | 0.5 to 2 per cent | Under 0.5 per cent |
| Spam complaint rate | Over 0.3 per cent | 0.1 to 0.3 per cent | Under 0.1 per cent |
| Authentication pass rate | Under 95 per cent | 95 to 99 per cent | 100 per cent |
How to improve email deliverability analysis
Improving deliverability means earning the reputation that mailbox providers reward, then keeping it. The aim is more email in the inbox without sending less of value. These four practices move placement most and hold it there.
Authenticate fully
Publish SPF, DKIM, and DMARC for the sending domain and keep them aligned. Authentication is the entry ticket. Without it, even good senders are treated with suspicion.
Keep the list clean
Remove hard bounces immediately and suppress addresses that have not engaged in months. Mailing dead addresses and spam traps is the fastest way to lose reputation.
Send to engaged recipients
Prioritise people who open and click, because positive engagement teaches providers to trust the inbox path. Re-engage the dormant carefully or let them go.
Warm new sending up
Raise volume on a new domain or IP gradually so reputation builds before scale. A cold sender that floods inboxes is throttled before it earns trust.
Common mistakes when tracking email deliverability analysis
- 1
Trusting delivery rate as inbox placement
A high delivery rate only means email was accepted, not seen. Measure placement through seed lists or provider data, or the spam problem stays invisible on every dashboard.
- 2
Ignoring the complaint rate ceiling
Providers tolerate roughly one complaint per thousand. Cross it and placement collapses regardless of content. Watch the complaint rate as a hard guardrail, not a vanity number.
- 3
Mailing unengaged subscribers to inflate reach
Sending to people who never open lowers engagement signals and drags reputation down. A smaller engaged list usually places better than a large stale one.
- 4
Treating deliverability as a one-time fix
Reputation decays with every bad send, so a clean audit today does not protect tomorrow. Monitor placement continuously rather than only when opens fall.
Related metrics
Email open rate
Marketing MetricsMetric Definition
Open Rate = (Emails Opened / Emails Delivered) × 100
Email open rate measures the percentage of delivered emails that are opened by recipients. It is one of the most widely tracked email marketing metrics, though recent privacy changes have made it less reliable as a standalone indicator of engagement.
Click-through rate
CTR
Marketing MetricsMetric Definition
CTR = (Clicks / Impressions) × 100
Click-through rate measures the percentage of people who click on a link, ad, or call-to-action after seeing it. It is one of the most fundamental engagement metrics in digital marketing, connecting impressions to action and serving as an early indicator of campaign relevance and audience targeting quality.
Conversion rate
CVR
Marketing MetricsMetric Definition
Conversion Rate = (Number of Conversions / Total Visitors or Leads) × 100
Conversion rate measures the percentage of visitors, users, or leads who take a desired action, such as making a purchase, signing up for a trial, or submitting a form. It is the fundamental metric for evaluating the effectiveness of any acquisition funnel, landing page, or marketing campaign.
Return on ad spend
ROAS
Marketing MetricsMetric Definition
ROAS = Revenue from Ads / Ad Spend
Return on ad spend measures the revenue generated for every pound spent on advertising. It is the primary profitability metric for paid media, telling you whether your ad campaigns are generating more revenue than they cost and by how much.
Metric trees for marketing teams
Metric Definition
Shows how the marketing team can place inbox placement health within a wider tree alongside the campaign metrics it feeds.
Why did my metric change? A diagnostic framework
Metric Definition
Gives you a structured way to work out why inbox placement has shifted and which upstream factors are driving the change.
Turn deliverability into a metric tree with KPI Tree
Model inbox placement as a tree that connects authentication, list health, and engagement to where your email actually lands. Give each branch an accountable owner so a DMARC failure reaches the engineer and a rising complaint rate reaches the marketer, and let the verified impact loop confirm whether a fix restored placement.