> ## Documentation Index > Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Inbox Placement Rate (deliverability), Mailchimp > Inbox Placement Rate (deliverability) for Mailchimp stores. The share of sent emails landing in the primary inbox vs spam. Tracked live in Vortex IQ Nerve Centre. **Card class:** [Hero](/nerve-centre/overview#card-classes-explained) • **Category:** [Email Marketing](/nerve-centre/connectors#connectors-by-type) > Percent of sent emails landing in the primary inbox (vs spam folder). Drops here = sender-reputation issue ahead of bounce or complaint spikes. ## At a glance > The share of sent emails that land in the recipient's primary inbox rather than the spam or junk folder. This is **not** the same as delivery rate. Delivery only confirms the recipient mail server *accepted* the message; inbox placement asks the harder question of whether it was placed where the recipient will actually see it. An email can be "delivered" at 99 percent and still be quietly routed to spam, earning no opens, no clicks, and no revenue. Inbox placement is estimated from connected seed-list (inbox-placement testing) services where the merchant has one; without a seed-list connection, the figure is an inference from engagement and reputation signals rather than a direct measurement. **A falling placement rate is an early warning that fires before bounce and complaint spikes**, reputation erodes first, mailbox providers start filtering, and only later do the harder symptoms appear. Catching the placement drift early is the difference between a content tweak and a full reputation-recovery project. | | | | ------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **What it counts** | The estimated proportion of sent emails reaching the primary inbox: `(emails placed in primary inbox ÷ emails sent) × 100`. Where a seed-list inbox-placement service is connected, this is measured directly against seed accounts across major mailbox providers; otherwise it is inferred. | | **Why it differs from delivery rate** | Delivery rate measures acceptance by the recipient server (not bounced). Inbox placement measures *where* the accepted message landed. A message can be delivered (accepted) yet filtered to spam (not placed). The gap between delivery rate and inbox placement is the silent-filtering problem. | | **Why it is an early indicator** | Mailbox providers filter to spam before they hard-bounce or block. So placement degrades while delivery and bounce rates still look fine. By the time bounce rate or complaint rate spikes, reputation damage is already advanced. Placement is the leading edge. | | **Estimation method** | With a connected seed-list service: direct measurement against seed accounts. Without one: an inference from engagement collapse patterns, complaint signals, and reputation indicators. The estimated figure is directional, not exact; treat large moves as the signal, not single-point precision. | | **Currency** | n/a, this is a percentage. The revenue at stake from emails that never reach the inbox surfaces in [`email-attributed-revenue`](/nerve-centre/kpi-cards/mailchimp/email-attributed-revenue) and [`revenue-per-recipient`](/nerve-centre/kpi-cards/mailchimp/revenue-per-recipient). | | **Time window** | `30D vsP` (30-day rolling vs prior period). Placement is noisy day-to-day; the rolling window surfaces the trend that matters. | | **Alert trigger** | `< 85%` (sender-reputation drift), or a meaningful drop versus the prior period. | | **Sentiment key** | `mc_inbox_placement_rate` | | **Roles** | owner, marketing | ## Calculation Calculated automatically from your Mailchimp data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading. ## Worked example A supplements brand on BigCommerce running Mailchimp Standard with a connected seed-list inbox-placement service. Snapshot for the 30-day window ending Friday 12 Jun 26, with the prior period for comparison. | Mailbox provider | Sent share | Inbox placement | Prior period | Change | | --------------------- | ---------: | --------------: | -----------: | -------: | | Gmail | 52% | 79% | 93% | -14 pts | | Apple Mail / iCloud | 21% | 96% | 97% | -1 pt | | Outlook / Microsoft | 16% | 88% | 90% | -2 pts | | Yahoo / AOL | 8% | 84% | 88% | -4 pts | | Other | 3% | 90% | 91% | -1 pt | | **Blended placement** | | **84.6%** | 92.4% | -7.8 pts | What this snapshot is telling us: 1. **Blended placement fell from 92.4 to 84.6 percent and is now below the 85 percent threshold.** That is a sender-reputation drift signal worth acting on before it becomes a bounce or complaint event. 2. **The problem is almost entirely Gmail.** Gmail placement collapsed 14 points while every other provider moved only a point or two. Because Gmail is 52 percent of sends, its collapse alone dragged the blend down nearly eight points. **This is a Gmail-specific reputation problem**, and the fix is Gmail-specific. 3. **Delivery rate probably still looks fine.** Gmail is accepting the mail (it is delivered) and then filtering it to spam (not placed). If you only watched delivery rate, you would see nothing wrong, which is exactly why inbox placement exists as a separate card. Cross-reference [`delivery-rate`](/nerve-centre/kpi-cards/mailchimp/delivery-rate); it will likely still read in the high 90s while placement has cratered. 4. **What to check for a Gmail-specific drop**: (a) recent engagement collapse on Gmail recipients (low opens and clicks teach Gmail to filter); (b) a spike in Gmail spam complaints (check [`spam-complaint-rate`](/nerve-centre/kpi-cards/mailchimp/spam-complaint-rate)); (c) authentication health (DKIM, SPF, DMARC alignment for the sending domain); (d) a recent list import of low-quality or unengaged Gmail addresses dragging the Gmail engagement signal down. 5. **Apple Mail placement of 96 percent is reassuring but partly a confound.** Apple Mail Privacy Protection opens inflate Apple engagement signals, which can prop up Apple placement even when real engagement is soft. Do not read strong Apple placement as proof the whole programme is healthy when Gmail is failing. 6. **The revenue at stake.** With Gmail at 52 percent of sends and placement down 14 points there, roughly 7 percent of *all* sent emails that used to reach the inbox are now in spam. On a programme of any scale that is a material, recoverable revenue loss, those recipients generate zero engagement and zero attributed revenue while filtered. The diagnostic flow when this card flags amber: 1. **Decompose by mailbox provider.** Placement problems are almost always provider-specific; the blend hides which one. Gmail and Microsoft are the usual culprits. 2. **Confirm it is filtering, not bouncing.** Check delivery rate, if delivery is high but placement is low, the mail is being accepted and filtered (reputation), not rejected (list quality). 3. **Check engagement on the failing provider.** Low opens and clicks on a provider teach it to filter; a re-engagement or list-cleanse on that provider's recipients is the structural fix. 4. **Check authentication.** DKIM, SPF, and DMARC alignment problems hit specific providers hard; verify the sending-domain setup. 5. **Check complaints.** A complaint spike on a provider precedes a placement collapse there; the two cards read together tell the reputation story. The rapid-response playbook for marketing leadership: | Time horizon | Action | | ------------- | ---------------------------------------------------------------------------------------------------------------------------------------------- | | First 4 hours | Decompose by mailbox provider; confirm whether the drop is one provider or broad. | | First day | Confirm filtering vs bouncing via delivery rate; check authentication health and complaint signals on the failing provider. | | First week | Run a re-engagement or suppression pass on the failing provider's unengaged recipients to rebuild the engagement signal that drives placement. | | First month | Monitor the 30-day rolling placement back toward baseline; reputation recovery is gradual, not instant. | ## Sibling cards merchants should reference together | Card | Why merchants reach for it | | -------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- | | [`delivery-rate`](/nerve-centre/kpi-cards/mailchimp/delivery-rate) | The contrast card. High delivery with low placement is the silent-filtering signature; the gap between them is the story. | | [`deliverability-drop`](/nerve-centre/kpi-cards/mailchimp/deliverability-drop) | Per-campaign and per-ISP deliverability drill-down. Surfaces the specific send and provider combination behind a placement drop. | | [`sender-reputation-risk`](/nerve-centre/kpi-cards/mailchimp/sender-reputation-risk) | The composite reputation warning. Placement is one of the earliest reputation symptoms; this card aggregates the rest. | | [`spam-complaint-rate`](/nerve-centre/kpi-cards/mailchimp/spam-complaint-rate) | Complaints precede placement collapse on a provider. Read together to confirm a reputation cause. | | [`bounce-rate`](/nerve-centre/kpi-cards/mailchimp/bounce-rate) | The harder symptom that follows placement drift. If bounce is also rising, the reputation problem is advanced. | | [`email-open-rate`](/nerve-centre/kpi-cards/mailchimp/email-open-rate) | Filtered mail earns no opens. A placement drop drags open rate down on the affected provider. | | [`email-health-kpis`](/nerve-centre/kpi-cards/mailchimp/email-health-kpis) | The composite health score. Placement degradation cascades through delivery, open, and conversion sub-scores. | | [`top-email-clients-open-distribution`](/nerve-centre/kpi-cards/mailchimp/top-email-clients-open-distribution) | The client and provider split of opens. Helps confirm which provider's recipients are going dark. | ## Reconciling against Mailchimp **Where to look in Mailchimp's own dashboard:** * **[Mailchimp → Reports → All campaigns](https://us1.admin.mailchimp.com/reports/)** for per-campaign delivery, open, and bounce figures. Mailchimp reports delivery and engagement but does **not** natively report inbox-vs-spam placement; that comes from a seed-list service. * **Mailchimp → Account → Settings → Domains** to verify the sending-domain authentication (DKIM, SPF) that drives placement. * **Your connected inbox-placement / seed-list service dashboard** for the direct provider-by-provider placement measurement that this card reflects when such a service is connected. **Why the Vortex IQ placement rate has no single matching Mailchimp number:** Mailchimp does not measure inbox placement, it measures delivery (acceptance). Inbox placement is a fundamentally different question that requires seed accounts at each mailbox provider, which is what a seed-list service provides. Reconciliation is therefore against the seed-list service (if connected) or an understanding that the figure is inferred: | Reason | Direction | What to do | | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------- | | **Delivery is not placement.** Mailchimp's delivery rate counts acceptance, not inbox placement. | Mailchimp delivery reads **higher** than placement | This is expected. The gap between Mailchimp's delivery rate and this card's placement rate is precisely the silent-filtering measure. | | **Estimated vs measured.** Without a connected seed-list service, the placement figure is inferred from engagement and reputation signals. | Either direction | Treat the figure as directional. Connect a seed-list service for direct measurement if precision matters. | | **Provider-specific seeding.** Seed-list services measure against a fixed set of seed accounts, which may not perfectly mirror your audience's provider mix. | Either direction | Weight by your actual sent-share per provider, not the seed-list's default weighting. | | **Authentication changes.** A DKIM or SPF change improves placement gradually as providers re-learn the sender. | Vortex IQ improves **slowly** after an auth fix | Allow days to weeks for placement to recover; reputation is rebuilt, not toggled. | | **Refresh lag.** Placement recalculates each sync; seed-list services update per test run. | Vortex IQ moves on its own cadence | Align the comparison to the seed-list test schedule; check `last_synced_at`. | **Quick rule for support tickets:** when a merchant says "Mailchimp shows 99 percent delivered, why is your placement only 85 percent?", explain that delivery and placement are different measurements. Delivery means the message was accepted; placement means it reached the inbox rather than spam. A high delivery rate with a low placement rate is the textbook silent-filtering problem, the mail is getting through the door but being filed in the junk drawer. The fix is reputation and engagement work, not list cleaning for invalid addresses. ## Known limitations / merchant FAQs **My delivery rate is 99 percent. Why is placement a concern at all?** Because delivery and placement measure different things. Delivery confirms the recipient server accepted the message; placement asks whether it landed in the inbox or the spam folder. A 99 percent delivery rate with an 80 percent placement rate means one in five accepted emails is being filtered to spam, earning no opens and no revenue. Delivery is necessary but not sufficient; placement is where the revenue actually depends. **Is the placement figure measured or estimated?** It depends on whether a seed-list inbox-placement service is connected. With one, placement is measured directly against seed accounts at each major provider. Without one, it is inferred from engagement collapse, complaint signals, and reputation indicators. The inferred figure is directional, treat a large move as the actionable signal rather than reading single-point precision into it. Connecting a seed-list service upgrades this card from inference to measurement. **Placement dropped on Gmail but not elsewhere. Why only one provider?** Because each mailbox provider runs its own filtering and reputation model. Gmail weighs recipient engagement heavily; Microsoft weighs complaint history and authentication; others differ again. A reputation problem usually surfaces at one provider first, most often Gmail or Microsoft, because that provider's model is most sensitive to whatever degraded. Provider-specific drops are the normal pattern, not the exception, which is why decomposing by provider is the first diagnostic step. **Apple Mail placement looks great. Does that mean the programme is healthy?** Not necessarily. Apple Mail Privacy Protection auto-opens inflate Apple engagement signals, which can prop up Apple placement even when genuine engagement is soft. Strong Apple placement alongside weak Gmail placement is a known pattern and should not reassure you, judge programme health on the provider where engagement is measured most honestly (typically Gmail), and use [`top-email-clients-open-distribution`](/nerve-centre/kpi-cards/mailchimp/top-email-clients-open-distribution) to keep the Apple confound in view. **How fast can I recover placement after a drop?** Slowly. Inbox placement reflects sender reputation, which mailbox providers rebuild over days to weeks of improved engagement, clean sending, and correct authentication. There is no instant fix. The recovery path is suppressing unengaged recipients on the failing provider, sending to your most engaged segments to rebuild the engagement signal, and verifying authentication. Expect the 30-day rolling rate to climb back gradually, not jump. **Can Vortex IQ fix my placement automatically?** No. Vortex IQ is read-only by design. It surfaces the placement drop, decomposes it by provider, and points at the likely reputation or engagement cause; the recovery work (suppression, re-engagement, authentication fixes) happens in Mailchimp and your DNS by the merchant's team. The Vortex Mind Customer Recovery Opportunity report can raise a merchant-side Action describing the recommended recovery steps, but the changes stay with the merchant. *** ### Tracked live in Vortex IQ Nerve Centre *Inbox Placement Rate (deliverability)* is one of hundreds of KPI pulses Vortex IQ tracks across Mailchimp and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. [Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.