See which subscribers are landing in spam, before your next send
Inbox Placement identifies whether individual subscribers receive your email in the Inbox or the Spam folder, helping teams find reachability issues before they appear in campaign performance metrics.
What Inbox Placement measures
Unlike campaign-level deliverability metrics, which only tell you where messages landed after a send, AudiencePoint analyzes actual engagement behavior observed across brands to tell you a placement designation at the individual subscriber level. That designation is available before you send, giving teams a reachability signal they can act on during audience planning rather than after the fact.
Open and click rates reflect engagement among subscribers who received your email in their inboxes. They cannot distinguish inbox placement from spam placement for subscribers who did not engage. Apple’s Mail Privacy Protection has further reduced the reliability of open rate as an engagement signal, leaving most teams making audience, suppression, and cadence decisions using signals that are increasingly incomplete.
What you will see
For each subscriber AudiencePoint assigns one of four placement designations.
Inbox. High-confidence designation that messages are reaching the inbox.
AtRisk. Medium-confidence designation that messages are landing in the spam folder.
Spam. High-confidence designation that messages are landing in the spam folder.
Unknown. Insufficient behavioral signal to generate a confident placement designation. Unknown does not imply spam placement. It means there is not yet enough signal to classify the address with confidence. Continue sending to Unknown addresses as part of your normal program. Over time, behavioral data accumulates, coverage expands, and more of those addresses move into the Inbox or Spam tiers.
Coverage
Compared to the other options such as seed lists or panels, AudiencePoint’s Inbox placement gives by far the most accurate reading of overall inbox placement.
It is important to know what this inbox placement rate means and doesn’t mean. The Inbox, AtRisk, and Spam tiers together make up the covered portion of your list. Coverage is the percentage of subscribers for whom AudiencePoint has sufficient behavioral signal to generate a designation. When you see an inbox placement rate of 97%, that number applies to the covered population, not the full list. A team with 500,000 subscribers and 60% coverage has a confident read on 300,000 addresses. The remaining 40% are Unknown. Coverage grows over time as the data pool accumulates additional behavioral data.
What Inbox Placement is not
Inbox Placement is a visibility metric, not an engagement metric. Engagement measures what subscribers do after seeing your email. Inbox Placement analyses when you will land in the spam folder of individual recipients, which is far more actionable than just an aggregate score.
Inbox Placement is not an engagement score, sender reputation score, or campaign performance metric. It is a reachability signal that works best alongside those metrics, not as a replacement for them.
How it works
How AudiencePoint determines placement
AudiencePoint’s second-party data pool draws on behavioral data shared directly between AudiencePoint and its network of participating brands. That pool has observed hundreds of millions of email addresses across hundreds of brands and trillions tracked events. When you connect your list, AudiencePoint matches your subscribers against that pool using hashed email addresses. Each address is converted to a fixed-length string before matching, so raw email addresses are never exposed in the process.
Patented scoring models translate those pooled behavioral signals into a high-confidence placement designation at the individual subscriber level. That designation reflects cumulative evidence across many senders over time, including whether messages consistently land in inbox or spam. AudiencePoint updates its database several times a week, so the placement read on your list reflects current behavioral data.
How this differs from seed lists
Seed list testing samples a relatively small set of controlled test addresses that may not reflect how messages land for your real subscribers. Inbox Placement draws on behavioral data from your actual list matched against the broader pool, showing you how messages are landing for the people actually on your list.
How enterprise teams use Inbox Placement
Inbox Placement works best when integrated into your ESP and available in the workflows where audience, list management, and campaign decisions are already being made. Most teams start with pre-send audience decisions and ongoing list management, then expand into automation and post-send analysis as placement data becomes a regular part of how they work.
For list management
Inbox Placement gives marketing and deliverability teams a continuous read on audience reachability. Used consistently, it surfaces problems early and gives teams a more accurate basis for the suppression, re-engagement, and hygiene decisions that shape list health over time.
Protecting sender reputation. Sending repeatedly to addresses where mail lands in spam degrades your reputation with mailbox providers before the damage shows up in campaign metrics. Inbox Placement surfaces those addresses so teams can act first.
Identifying provider-level blocking. A meaningful drop in placement for Gmail subscribers that does not appear for Yahoo or Outlook points directly at a provider-level issue. Tracking placement by provider week over week surfaces this early enough to investigate and respond.
Validating new subscribers early. Running new subscriber batches through Inbox Placement after the welcome series identifies addresses that are not reaching the inbox at the point of entry, before they accumulate send history that works against sender reputation.
Monitoring full-file health. A slow drift in placement rates across a segment or acquisition cohort is the kind of signal that only becomes visible when you are watching it consistently, and one that campaign metrics alone will not surface.
List hygiene. A subscriber who stopped engaging but shows a consistent Inbox designation is still reachable, which changes the suppression calculus. Combining placement with engagement gives teams a more accurate basis for deciding who to retain, who to re-engage, and who to suppress.
Acquisition quality monitoring. Placement reviewed by acquisition source identifies channels that consistently produce Unknown or Spam-designated addresses before the pattern affects the broader list.
Before the send
Use Inbox Placement to inform audience planning before a campaign goes out. Subscribers with a confirmed Inbox designation are your highest-confidence send population. Subscribers showing persistent Spam placement can be excluded from campaigns where deliverability risk would be most costly.
Build audiences with placement in mind. Knowing which subscribers have a confirmed Inbox designation and which do not changes who belongs in a given send.
Review suppression decisions. Consistent Spam placement is a signal worth factoring into who receives a campaign.
Assess overall risk. Placement patterns across your audience are a meaningful input into the risk profile of a given campaign, particularly for high-stakes sends.
A few examples of how teams structure this in practice:
- Newsletter send (standard): exclude Inbox Placement = Spam
- Newsletter send (conservative): exclude Inbox Placement = Inbox or AtRisk
- Re-engagement segment: no engagement in 90 days, Inbox Placement = Inbox or Unknown
- New subscriber onboarding: exclude addresses designated as Spam at the point of entry
- Suppression review queue: Inbox Placement = Spam, no engagement in 180 days
During automation
Use Inbox Placement as an additional signal within automated programs so journeys can respond to reachability as well as engagement.
Inform journey logic. Placement data surfaces reachability issues that engagement signals may miss, particularly where MPP inflates apparent open rates.
Adjust cadence decisions. Placement data helps distinguish subscribers who are not engaging from those whose messages are not reaching the inbox at all, which calls for a different cadence response.
Route by placement. Subscribers showing Spam placement can be moved into reduced-frequency workflows, re-permission sequences, or held from journeys until placement improves.
After the send
Use Inbox Placement to add context to campaign performance. AudiencePoint updates its database several times a week, and depending on how your data sync is configured, additional delays may apply. For post-send analysis, placement data is most useful after a week or two have passed.
Investigate result changes. When open rates drop or conversions shift unexpectedly, placement data helps distinguish a deliverability issue from an audience or content issue.
Identify patterns by segment. Placement often varies across acquisition sources, mailbox providers, and audience segments in ways that inform where to focus next.
Narrow the investigation. A sudden change in placement rates across a specific cohort, provider, or acquisition source gives deliverability teams a concrete place to start.
Results from the field
The Hartford applied AudiencePoint across more than 5 million subscriber records. Inbox placement improved by 88% within two sends, Inbox visibility was restored across major providers, and sender reputation recovered.
StyleBlueprint, a high-growth digital publisher, was experiencing an engagement plateau and inconsistent revenue contribution from email with no obvious cause in internal reporting. Messages were silently landing in Spam while engagement metrics appeared stable. After applying AudiencePoint across more than 180,000 subscriber-level signals, StyleBlueprint achieved a 29% increase in engaged sessions and a 39% increase in events per session.
Frequently asked questions
Is my subscriber data shared with other brands?
No. AudiencePoint operates as a privacy-safe data clean room. Subscriber data is hashed before matching, no brand’s subscriber records are exposed to other participating brands, and no personally identifiable information changes hands in the process. The matching and scoring happen within the clean room environment, and only the resulting placement designation is returned to you.
How does AudiencePoint determine where my emails are landing?
AudiencePoint generates each placement designation by matching your subscriber list against its second-party data pool, which spans hundreds of brands and 85 trillion tracked events. Proprietary scoring models translate those behavioral signals into a high-confidence placement designation at the individual subscriber level. The designation reflects cumulative evidence across many senders over time.
Does Inbox Placement show results by email provider?
The placement designation is assigned at the individual hashed email address level. The dashboard and charts aggregate that data by email provider, so teams can see placement patterns across Gmail, Yahoo, Outlook, and others. That provider-level view lets teams distinguish a provider-specific issue from a list-wide problem. If Gmail is systematically foldering your mail while placement with Yahoo and Outlook remains strong, the provider breakdown makes that visible immediately.
What is coming: Likely Spam
Coverage builds over time, and AudiencePoint is actively expanding its placement designations to give teams more to act on across a larger portion of their list. A forthcoming Likely Spam designation will identify addresses where behavioral signals point toward spam placement but do not yet meet the threshold for the high-confidence Spam designation. The primary Spam designation remains high-confidence by design. Likely Spam will give teams an additional suppression lever they can apply at their own discretion, calibrated to their risk tolerance, without lowering the bar on the core metric.
