Playbook: AudiencePoint’s Inbox Placement

Situation: You want to maximize the likelihood that an important campaign reaches subscribers who can actually see it.

What It May Indicate: Audience selection can meaningfully influence campaign reach and overall deliverability risk. Inbox Placement provides subscriber-level visibility that helps teams make more informed audience decisions before a campaign is deployed.

Questions to Consider

• Current Inbox Placement by audience
• Mailbox provider trends
• Recent placement changes
• Coverage
• Engagement
• Campaign objective
• Organizational risk tolerance

Actions to Consider

• Structure your intended audience by placement designation. Subscribers with confirmed Inbox placement represent your highest-confidence audience for important campaigns.
• Consider excluding persistently Spam-designated subscribers while continuing to include Unknown subscribers as part of your normal audience management practices.
• For more conservative or business-critical sends, some organizations limit the audience to confirmed Inbox subscribers.
• For re-engagement or win-back campaigns, many organizations continue sending to Unknown subscribers while excluding persistent Spam designations.
• Review provider-specific placement trends before launch.
• Evaluate coverage so you understand how much of your intended audience has a confirmed placement designation.
• Use Inbox Placement alongside engagement and existing audience policies to make more informed audience decisions, not to replace them.

Situation: Inbox Placement declines after you import or onboard a significant batch of new subscribers.

What It May Indicate: Because the Inbox Placement percentage excludes Unknown subscribers, a wave of new Unknown values does not move the percentage on its own. A decline in inbox placement reflects an increase in imported addresses being designated as Spam relative to those designated as Inbox. That is consistent with the import containing known-bad, stale, mistyped, or low-consent addresses, which mailbox providers react to and which can pressure how they evaluate the rest of your mail.

Questions to Investigate

• Whether the imported addresses were run through AudiencePoint email verification before sending
• Which mailbox provider(s) show the increase in Spam designations
• Acquisition source(s) of the imported subscribers and their consent basis
• How many of the new addresses are being designated Spam versus At Risk
• Whether the import was sent all at once or introduced gradually
• List validation or hygiene performed before the import
• Overlap between the new cohort and your existing engaged audience

Actions to Consider

• First, confirm the imported addresses were run through AudiencePoint’s email verification. If they were not, run it now. Verification can screen out many known-bad addresses before you send, which reduces the chance of mailing addresses that may contribute to Spam designations and is one of the most direct ways to keep a new import from adding placement risk.
• Isolate and monitor the new cohort independently rather than blending it immediately into your main sends, so its performance does not mask or distort your established audience’s placement.
• Onboard the cohort gradually. Begin with the most clearly consented, most recently acquired, or most engaged portion, and expand as placement holds.
• Generally avoid sending to any new subscribers already designated Spam, and hold off on At Risk designations in the cohort, at least in the short term.
• For emails with an Inbox Placement value of Unknown, sending is usually still beneficial. New lists often contain a number of Unknown subscribers, because some addresses won’t have enough data associated with them yet to be assigned to Inbox, At Risk, or Spam. Continuing to send to these users allows data to accumulate.
• Prioritize a strong welcome and onboarding experience for the cohort to establish engagement and consent signals early (see the Welcome Series scenario).
• Compare placement and engagement by acquisition source before scaling spend on any one source.
• Where the rise in Spam designations concentrates at a specific provider, apply the provider-specific handling from the sending-frequency scenario, leaning on higher-engagement (Spruce) subscribers and expanding gradually.
• Re-verify or validate addresses from any source that consistently produces Spam or At Risk designations before running further imports.

Situation: Your welcome and onboarding messages consistently place in the inbox at higher rates than your ongoing promotional campaigns.

What It May Indicate: This is a common and generally healthy pattern. Welcome mail reaches freshly opted-in, highly engaged, expectant recipients, which mailbox providers reward. The gap becomes worth investigating when promotional placement is not just lower but declining, which can indicate that engagement erodes as subscribers age into the promotional stream, that promotional cadence or content is generating weaker engagement (or more spam-folder filing and complaints), or that your promotional audience carries more stale or disengaged addresses than your welcome audience.

Questions to Investigate

• The size of the placement gap and whether promotional placement is stable or trending down
• Where in the lifecycle placement begins to decline after the welcome series
• Promotional cadence and volume relative to welcome cadence
• Direct engagement along with our recency Engagement Score (Spruce) distribution across the welcome versus promotional audiences
• Mailbox-provider differences between the two streams
• Content, offer relevance, and frequency of the promotional program
• Suppression and re-engagement policies applied to aging subscribers

Actions to Consider

• Treat the welcome series as your placement benchmark. It shows what your program can achieve with an engaged, consented audience, and the goal is to carry more of that engagement into the promotional stream.
• Review whether promotional cadence outpaces subscriber appetite. Consider engagement-based cadence tiers so your most-engaged (higher-recency Engagement Score) subscribers receive higher frequency while less-engaged segments receive a reduced cadence.
• Strengthen the transition from welcome to promotional by setting expectations for frequency and content during onboarding, and avoid an abrupt jump in send volume once the welcome series ends.
• Segment promotional sends by engagement and placement designation. Prioritize Inbox-designated and higher-engagement subscribers for high-value promotions, and handle persistent Spam designations per your suppression policy.
• Refresh engagement policies so long-inactive subscribers aren’t quietly diluting promotional placement (see the long-term inactive and suppression-policy scenarios).
• Evaluate promotional content and offer relevance as engagement drivers, since weaker engagement over time pressures placement even when the audience was originally healthy.
• Monitor the gap over time rather than reacting to a single campaign. A persistently widening gap is the signal, not a one-send difference.

Situation: One mailbox provider shows materially different, usually lower, Inbox Placement than the rest of your program.

What It May Indicate: Placement is provider-specific by nature. Each mailbox provider applies its own filtering logic, reputation model, and engagement thresholds, so divergence at a single provider often points to something specific to your relationship with that provider, such as your reputation there, authentication alignment as that provider evaluates it, or a concentration of low-engagement or poorly-acquired subscribers on that domain, rather than a program-wide problem. It can also reflect a provider-side filtering change that affects many senders at once.

Questions to Investigate

• Scope: whether the change is isolated to this one provider or the leading edge of a broader trend
• The provider’s own baseline, meaning how it normally places for you rather than how it compares to other providers
• Authentication (SPF, DKIM, DMARC) alignment as this provider evaluates it
• Recency Engagement Score (Spruce) distribution among subscribers on this provider
• The share of this provider’s subscribers designated Spam, At Risk, or Unknown
• Whether the shift coincides with a volume, cadence, or content change concentrated on this provider
• Whether other senders or industry sources report a filtering change at this provider

Actions to Consider

• Use provider-specific baselines. Compare this provider to its own history, not to your best-performing providers, since absolute placement rates differ across providers even in a healthy program.
• Investigate scope before acting. Confirm whether the issue is contained to this provider before making any list-wide changes.
• Avoid broad list changes until the issue is understood. A provider-specific signal rarely justifies suppressing or altering subscribers on other providers.
• For the affected provider, apply the sending-frequency scenario’s handling scoped to that provider. Generally avoid Spam and (short-term) At Risk designations, temporarily reduce Unknown volume, and lean on addresses with higher-recency Engagement Scores to rebuild positive signals.
• Verify authentication specifically for how this provider evaluates it.
• Expand volume gradually at the provider as placement recovers, monitoring its own trend line.
• Document the provider’s normal range so future divergence is easier to spot early.

Situation: Inbox Placement declines following an increase in send frequency or volume.

What It May Indicate: Recent sending behavior may be influencing how mailbox providers evaluate your mail.

Questions to Investigate

• Assess which mailbox provider(s) are seeing a drop
• Volume increases
• Audience overlap
• Campaign calendar
• Recent campaign concentration

Actions to Consider

It is important to signal to the mailbox provider that you’re adapting your approach. First identify the mailbox provider(s) where the drop is coming from. For these:

• Generally avoid sending to any users marked as Spam.
• Consider avoiding sending to any users marked as At Risk (at least in the short term).
• Consider temporarily reducing the number of addresses flagged as Unknown in your sends. Note these don’t have enough data to confidently place in either inbox or spam. Sending to this group is usually still beneficial, but for mailbox providers that are seeing a drop in inbox placement, it can sometimes help to temporarily reduce the volume of these.
• Prioritize sending primarily to users with higher AudiencePoint recency Engagement Scores (Spruce), particularly for the next few sends.
• Prioritize your highest-value audiences.
• Expand volume gradually while monitoring placement trends.

Situation: Inbox Placement declines broadly across multiple mailbox providers and audiences, not just in one pocket.

What It May Indicate: A program-wide decline usually points to a systemic driver rather than an audience-specific one. Common causes include a recent operational or infrastructure change (sending domain or IP, authentication, an ESP or platform migration), a broad increase in volume or cadence, a shift in audience quality (large imports, an aging list, a rising inactive share), or a content and complaint pattern affecting many providers at once. Because the effect is broad, the cause is more likely to be something common to all of your mail.

Questions to Investigate

• Timing: what changed operationally around when the decline began (domain or IP, authentication, platform, volume, cadence, content)
• Whether all providers moved together or some are leading
• Recent volume and cadence trends across the program
• Recent large imports or shifts in audience composition
• The share of the overall program designated Spam, At Risk, or Unknown, and how that share has trended
• Complaint and unsubscribe trends
• Authentication and infrastructure health

Actions to Consider

• Review operational changes first. Line up the start of the decline against your change log. Infrastructure, authentication, platform, volume, cadence, and content are the usual systemic drivers.
• Investigate before expanding volume. Adding volume into a declining program tends to compound the problem.
• Prioritize healthier audiences. Concentrate sending on Inbox-designated and higher-recency Engagement Score (Spruce), actively engaging subscribers to re-establish positive signals across providers.
• Generally avoid Spam designations entirely and pull back on At Risk designations program-wide in the short term.
• Temporarily reduce Unknown volume where it is large while the program stabilizes, then resume as placement recovers. Unknown remains generally beneficial to send to and is not itself a risk signal.
• Confirm authentication (SPF, DKIM, DMARC) and infrastructure are correct and aligned, especially if a migration or configuration change preceded the decline.
• Re-expand volume gradually once placement stabilizes, monitoring provider-level trends.
• Treat this as a trend to diagnose, not a single send to react to. Look for the common cause before making audience-wide suppression decisions.

Situation: Opens, clicks, or conversions soften while Inbox Placement stays steady. Your mail is still reaching the inbox, but subscribers are responding less.

What It May Indicate: When placement is stable, reachability is not the constraint. The mail is landing where it can be seen. Declining engagement against stable placement points to relevance and content factors: creative, offer strength, subject lines, segmentation, cadence, timing, or audience fatigue. It can also be an early indicator, because sustained low engagement eventually pressures placement, so acting now can protect future reachability.

Questions to Investigate

• Which metric is declining (opens versus clicks versus conversions) and where in the funnel
• Cadence and frequency trends relative to the engagement change
• Segmentation and relevance of recent sends
• Creative, subject-line, and offer changes
• Send timing relative to subscriber activity patterns
• Spruce recency-engagement distribution and whether the actively-engaging share is shrinking
• Audience composition and whether inactive subscribers are a growing share

Actions to Consider

• Since placement is intact, focus on relevance and content rather than deliverability mechanics: creative, offers, subject lines, and message-to-audience fit.
• Tighten segmentation so content matches subscriber interest. Broad, undifferentiated sends are a common cause of engagement decline.
• Revisit cadence. Over-mailing is a frequent driver of fatigue, so consider engagement-tiered frequency where less-engaged subscribers receive fewer sends.
• Use Spruce recency engagement to identify who is actively engaging, prioritize those subscribers for important sends, and design re-engagement paths for those slipping in recency.
• Test send timing and audience relevance. AudiencePoint send-time signals can help align delivery to when subscribers are active.
• Watch placement as a leading risk indicator. Prolonged low engagement tends to erode placement later, so treat the engagement dip as an early warning even though reachability is currently fine.
• Address declining engagement before it compounds into suppression-worthy inactivity (see the long-term inactive and suppression-policy scenarios).

Privacy protections, automated opens, or changes in subscriber behavior can cause reported open rates to diverge from inbox visibility. Apple Mail Privacy Protection is one common example. Use clicks, conversions, and Inbox Placement together when evaluating campaign performance.

Situation: Inbox Placement rises and more of your audience is reaching the inbox, but opens, clicks, or conversions do not improve alongside it.

What It May Indicate: Reachability has improved, but reachability is not the same as engagement. When placement climbs without a corresponding lift in performance, the constraint is usually relevance and content rather than deliverability — your mail is landing where subscribers can see it, but it is not compelling enough action. It can also mean the newly reachable subscribers are lower-intent, or that reported opens are masking the real picture (see the Apple MPP caveat in the reported-open-rates scenario).

Questions to Investigate

• Which metric is lagging (opens vs. clicks vs. conversions) and where in the funnel
• Whether the placement gain came from a specific provider, cohort, or acquisition source
• Recency Engagement Score (Spruce) distribution among the newly reachable subscribers
• Creative, subject-line, offer, and segmentation of the affected sends
• Whether reported opens are inflated by privacy protections, obscuring true engagement

Actions to Consider

• In addition to continued Inbox Placement monitoring and standard campaign optimization (subject, content, etc.), also consider factoring in AudiencePoint’s recency Engagement Score (“Spruce”). This score indicates which users are actively engaging with brands via email.
• Prioritize the higher-engagement (higher Spruce) subscribers for important sends, and use clicks and conversions rather than reported opens to judge performance.
• Tighten segmentation and offer relevance so the improved reach translates into response.

Situation: Subscribers from a particular acquisition source consistently show lower Inbox Placement than the rest of your list.

What It May Indicate: Acquisition quality is a common upstream driver of placement. Sources that produce less-engaged, less-consented, mistyped, or stale addresses tend to generate weaker engagement and more Spam or At Risk designations over time, which pressures placement for that cohort. A consistent pattern tied to a single source, rather than a one-off, is a strong signal that the source, not your sending program, is the variable.

Questions to Investigate

• Which source it is, and how consistently it underperforms across cohorts and over time
• The consent basis and collection method (for example, single versus confirmed opt-in, co-registration, purchased or appended versus organic)
• Validation performed at the point of collection
• The placement designation mix (Spam, At Risk, Unknown, Inbox) for the source
• Recency Engagement Score (Spruce) for the source versus your list average
• Whether the source concentrates at particular mailbox providers
• Volume and spend directed to the source

Actions to Consider

• Compare acquisition sources on a like-for-like basis (same age, same lifecycle stage) before drawing conclusions, so lifecycle differences aren’t mistaken for source quality.
• Improve validation at the point of collection for weaker sources. Real-time verification, confirmed opt-in, or stricter form handling can raise cohort quality before addresses ever enter the program.
• Monitor new cohorts from the source independently so their placement doesn’t quietly erode the broader program.
• Onboard weaker-source subscribers gradually and lean on engagement (higher-recency Engagement Score) before scaling volume.
• Reassess spend and investment across sources based on placement and engagement outcomes, not just acquisition cost or raw volume.
• Handle persistent Spam designations from the source per your suppression policy. Generally avoid sending to Spam and consider holding back on sending to At Risk addresses in the short term.
• Consider re-permission or stricter entry criteria for sources that consistently produce low placement despite onboarding adjustments.

Situation: A large share of subscribers in your audience has an Inbox Placement designation of Unknown.

What It May Indicate

AudiencePoint does not yet have sufficient behavioral evidence to confidently classify these addresses. Some Unknown is expected, particularly with a newer integration that did not provide historical interaction data, with newer subscriber cohorts, or with audiences that have limited observable history. Unknown does not necessarily imply elevated deliverability risk unless that overall number is exceptionally high (for example, 90% Unknown).

Questions to Investigate

• Age of subscriber cohorts
• Whether Unknown is concentrated within a specific acquisition source, audience segment, or mailbox provider
• Coverage growth over time
• If you’re using FTP/SFTP and the list you’re sending hasn’t been updated in a while, consider providing an updated file — or, better yet, contact support@audiencepoint.com to set up an automation that keeps your lists and profiles up to date.
• If the percentage of Unknown is very high, confirm that you are still sending AudiencePoint data on clicks and opens.

Actions to Consider

• Continue applying your existing audience management practices to Unknown subscribers unless other business considerations suggest a different approach.
• Use engagement, consent status, and organizational policies to determine whether Unknown subscribers should receive the same cadence as the broader audience.
• Some organizations choose to apply a different sending cadence to large Unknown populations based on campaign objectives or internal audience management policies, while others continue standard sending until additional behavioral data becomes available.
• Monitor coverage growth over time rather than treating Unknown as a deliverability issue.
• Do not treat Unknown as Spam.

Situation: A particular audience segment, defined by behavior, demographics, lifecycle stage, or content interest, consistently places lower than your other segments.

What It May Indicate: Placement differences across segments usually reflect differences in engagement, age, acquisition mix, or content fit within that segment rather than a program-wide issue. A segment built around low-engagement criteria, older subscribers, or a particular acquisition source will naturally carry more placement risk. It can also indicate that the messaging or cadence the segment receives isn’t matching its interest, generating weaker engagement.

Questions to Investigate

• How the segment is defined and what its members have in common (age, source, engagement, content interest)
• Recency Engagement Score distribution within the segment versus others
• The placement designation mix for the segment
• Mailbox-provider concentration within the segment
• The content, cadence, and offers this segment receives
• Whether the segment overlaps heavily with a lower-quality acquisition source or an aging cohort

Actions to Consider

• Review the segmentation logic. Confirm whether the lower placement is explained by engagement, age, or source, since that points to different remedies than a messaging problem would.
• Adjust messaging and offer relevance for the segment so content better matches its interest and rebuilds engagement.
• Tune cadence for the segment based on its engagement level rather than applying a single program-wide frequency.
• Prioritize the higher-engagement (higher-recency Engagement Score) subscribers within the segment for important sends, and design re-engagement for the rest.
• Handle persistent Spam or At Risk designations within the segment per policy rather than suppressing the whole segment.
• Compare the segment to similar segments before making changes, and monitor its trend rather than reacting to a single send.
• If the segment’s weakness traces to acquisition source or age, address those upstream (see the acquisition-source and long-term inactive scenarios).

Situation: Subscribers who haven’t engaged in a long time still show an Inbox designation.

What It May Indicate: Reachability and engagement are different things. An Inbox designation means the mail can still land where the subscriber could see it. It does not mean the subscriber is paying attention. Long-term inactive subscribers who still reach the inbox represent an opportunity to re-engage before considering suppression. That said, continuing to mail deeply inactive subscribers at higher cadence can, over time, erode engagement signals and pressure placement, so the window is worth using deliberately.

Questions to Investigate

• How long the subscribers have been inactive and how that is defined (opens versus clicks versus conversions, with the Apple MPP caveat on opens)
• Recency Engagement Score (Spruce) for these subscribers
• Their acquisition source and original consent basis
• The business value or historical value of the cohort
• Whether inactivity is concentrated in a segment, source, or provider
• What re-engagement attempts, if any, have already been made

Actions to Consider

• Prioritize re-engagement before suppression. Because these subscribers are still reachable, a focused win-back is likelier to succeed here than with subscribers already filtered to spam.
• Design a re-engagement or win-back series with a distinct offer or ask, and consider a reduced cadence for the cohort while it runs.
• Use clicks and conversions (not reported opens alone) to judge whether re-engagement is working, given privacy-driven open inflation.
• Lean on Recency Engagement Score (Spruce) to distinguish the genuinely dormant from those showing early signs of renewed activity, and route them accordingly.
• Set a clear decision point. If re-engagement doesn’t produce a response within a defined window, move the cohort toward reduced frequency and eventual suppression per policy (see the suppression-policy scenario).
• Avoid mailing deeply inactive subscribers at higher cadence indefinitely. Sustained non-engagement eventually pressures placement even while the Inbox designation holds.
• Apply suppression decisions in accordance with organizational policy, compliance, and risk tolerance. Inbox placement alone is not a reason to keep mailing an unengaged subscriber forever.

Situation: You are evaluating or revising the rules that determine when subscribers are suppressed from your program.

What It May Indicate: Suppression policy is where reachability, engagement, business value, and compliance meet. Inbox Placement adds a subscriber-level reachability dimension that engagement metrics alone don’t capture, but placement is one input among several, not a standalone suppression trigger. A sound policy uses placement together with engagement history and business rules, and is reviewed periodically as your audience, providers, and objectives change.

Questions to Investigate

• The current suppression criteria and how, or whether, they use placement today
• How engagement is defined in the policy, and whether it accounts for MPP-inflated opens
• The interaction between placement designations (Inbox, Spam, At Risk, Unknown) and engagement in current rules
• How Unknown subscribers are treated (they should not be treated as Spam)
• Business value and compliance or consent considerations for affected cohorts
• How often the policy is reviewed, and against what outcomes

Actions to Consider

• Combine Inbox Placement with engagement when making suppression decisions. Neither alone is sufficient, since a subscriber can be reachable but unengaged, or temporarily unreachable but valuable.
• Explicitly exclude Unknown from suppression logic. Unknown reflects insufficient data, not risk, and should follow your standard audience management practices (see the large-Unknown-population scenario).
• Build engagement-tiered handling into the policy. Use higher cadence for engaged, higher-recency Engagement Score (Spruce) subscribers, reduced cadence and re-engagement for slipping subscribers, and suppression reserved for those who remain both unengaged and persistently unreachable.
• Incorporate business value and compliance or consent requirements so high-value or consent-sensitive cohorts are handled deliberately.
• Review the policy periodically. Audience composition, mailbox-provider behavior, and objectives shift, so suppression thresholds should be revisited on a set cadence rather than set once.
• Document the rationale so suppression decisions are consistent, auditable, and aligned to organizational risk tolerance.