> ## 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. # Automation Series Completion Rate, Mailchimp > Automation Series Completion Rate for Mailchimp stores. The share of members who finish a multi-step automation. 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 members who started a multi-step automation and reached the final email. Sharp drops = broken trigger or template-render error. ## At a glance > The share of members who entered a multi-step automation (Customer Journey or Classic Automation) and reached its final email. Computed across active multi-step automations as completers divided by entrants. **A multi-step journey only earns its full revenue if members move through all of its steps**, so a falling completion rate means the back half of every journey, often the highest-converting offers, is being seen by fewer and fewer people. A gentle decline is usually natural attrition (people unsubscribe, lose interest, or convert and exit early). A *sharp* drop is almost always mechanical: a broken step trigger, a template-render error mid-journey, a wait-step misconfiguration, or a segment-exit rule that is ejecting members too aggressively. The card is read as a structural-health gauge for the automation programme, not a campaign performance metric. | | | | --------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | **What it counts** | Across active multi-step automations: `(members who reached the final step ÷ members who entered the first step) × 100`, blended into a single programme-level rate. Single-email automations are excluded, they have no "series" to complete. | | **Why it matters** | The most valuable content in a journey is rarely the first email. Welcome offers, escalating discounts, and the strongest post-purchase cross-sells sit later in the sequence. A low completion rate means that high-value tail is reaching a fraction of entrants. Lifting completion lifts revenue from steps you have already built. | | **What drives natural attrition** | Members unsubscribe, become inactive, convert and exit via a goal rule, or are removed by a segment-exit condition. Some attrition is healthy: a member who buys after email two should not need emails three through five. | | **What drives a mechanical drop** | (1) A broken trigger between steps after a Customer Journey version migration. (2) A template-render error mid-journey, so every member queued for that step fails and stalls. (3) A wait-step set far too long, so members appear "incomplete" simply because they are still in the queue. (4) An over-aggressive exit rule ejecting members who should continue. | | **Currency** | n/a, this is a percentage. The revenue impact surfaces in [`top-automations-by-revenue`](/nerve-centre/kpi-cards/mailchimp/top-automations-by-revenue) and [`automation-vs-campaign-revenue-mix`](/nerve-centre/kpi-cards/mailchimp/automation-vs-campaign-revenue-mix). | | **Time window** | `30D vsP` (30-day rolling vs prior 30-day period). The vs-prior comparison is what surfaces a sharp drop. | | **Alert trigger** | `< 80%` (a broken flow is likely below this threshold for most multi-step journeys), or a sharp drop versus the prior period. | | **Sentiment key** | `mc_automation_completion_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 skincare brand on Shopify running Mailchimp Standard with three multi-step Customer Journeys. Snapshot for the 30-day window ending Thursday 11 Jun 26, with the prior 30-day period for comparison. | Journey | Steps | Entrants | Completers | Completion rate | Prior period | Change | | --------------------- | ----: | -------: | ---------: | --------------: | -----------: | --------: | | Welcome Series | 4 | 6,420 | 5,010 | 78.0% | 79.5% | -1.5 pts | | Post-Purchase Nurture | 3 | 4,880 | 4,150 | 85.0% | 84.2% | +0.8 pts | | Win-Back | 5 | 2,310 | 990 | 42.9% | 71.0% | -28.1 pts | | **Blended programme** | | 13,610 | 10,150 | **74.6%** | 78.9% | -4.3 pts | What this snapshot is telling us: 1. **The blended rate of 74.6 percent is below the 80 percent threshold and down 4.3 points vs prior.** The headline says "investigate", but the blended figure hides where the problem actually is. Decomposing by journey is the first move. 2. **Win-Back is the entire story.** It collapsed from 71.0 percent to 42.9 percent, a 28-point drop. That is not natural attrition, attrition moves a point or two, not nearly thirty. This is a mechanical failure. **Investigate**: open the Win-Back journey and check (a) whether a step trigger disconnected after a UI migration, (b) whether step three or four throws a template-render error (send a test through each step), and (c) whether a wait step was lengthened, leaving members stuck mid-queue and counting as incomplete. 3. **Welcome and Post-Purchase are healthy.** Welcome at 78 percent is slightly under the generic threshold but stable vs prior and entirely normal for a four-step welcome series, some new subscribers convert early and exit, which is the desired outcome. Post-Purchase actually improved. Neither needs action. 4. **The blended figure was misleading on its own.** Two healthy journeys plus one broken journey averaged to a "soft amber" 74.6 percent, which understates how broken Win-Back is and overstates any problem with the rest. **Always decompose before acting.** 5. **The revenue at risk is in the tail.** If Win-Back's final two steps carry its strongest re-activation offer, fewer than half of entrants are now seeing it. Cross-reference [`top-automations-by-revenue`](/nerve-centre/kpi-cards/mailchimp/top-automations-by-revenue), Win-Back's contribution will have fallen over the same window. The diagnostic flow when this card flags amber: 1. **Decompose the blended rate by journey.** The composite always hides a load-bearing weak point; find the journey dragging it. 2. **For the dragging journey, identify the step where members stall.** A completion cliff between two specific steps points straight at the broken or mis-rendered step. 3. **Send a test through each step.** A template-render error surfaces immediately in a test send. 4. **Check wait-step durations.** A lengthened wait makes members look incomplete when they are simply still queued; this is a false alarm, not a break. 5. **Check exit and goal rules.** An over-aggressive exit condition ejects members who should continue; a goal rule firing early is desirable (they converted) and not a problem. The rapid-response playbook for marketing leadership: | Time horizon | Action | | ------------- | ---------------------------------------------------------------------------------------------------------------------------------------------- | | First hour | Decompose the blended rate; identify which journey dropped and between which steps members stall. | | First 4 hours | Send tests through the suspect steps; confirm whether the cause is a render error, a broken trigger, or a benign wait-step artefact. | | First day | Fix and republish; for a wait-step artefact, confirm the rate normalises once queued members clear. | | First week | Measure the 7-day-rolling completion rate for early recovery signal; review whether the journey's exit rules are ejecting members prematurely. | ## Sibling cards merchants should reference together | Card | Why merchants reach for it | | ------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------- | | [`automation-status`](/nerve-centre/kpi-cards/mailchimp/automation-status) | The status inventory of every automation. A completion drop and a status problem usually share a root cause. | | [`automation-stopped-firing-24h`](/nerve-centre/kpi-cards/mailchimp/automation-stopped-firing-24h) | The acute version of a mechanical failure: a journey that has stopped entirely. A sharp completion drop and this alert often fire together. | | [`welcome-series-completion-rate`](/nerve-centre/kpi-cards/mailchimp/welcome-series-completion-rate) | The welcome-specific completion rate. The welcome journey is the most-watched single series; this card isolates it. | | [`win-back-automation-recovery-rate`](/nerve-centre/kpi-cards/mailchimp/win-back-automation-recovery-rate) | Win-back completion and win-back recovery move together; a completion collapse drags recovery with it. | | [`top-automations-by-revenue`](/nerve-centre/kpi-cards/mailchimp/top-automations-by-revenue) | Where the revenue cost of a completion drop lands. Triage the broken journey that earns the most. | | [`automation-vs-campaign-revenue-mix`](/nerve-centre/kpi-cards/mailchimp/automation-vs-campaign-revenue-mix) | If automation revenue share is slipping, falling completion is a common cause. | | [`customer-journeys`](/nerve-centre/kpi-cards/mailchimp/customer-journeys) | The Customer Journey inventory; most multi-step automations are Journeys and stall step-by-step. | | [`engagement-funnel`](/nerve-centre/kpi-cards/mailchimp/engagement-funnel) | The Sent to Converted funnel. Completion is journey-internal; the engagement funnel is the per-send view of the same drop-off logic. | ## Reconciling against Mailchimp **Where to look in Mailchimp's own dashboard:** * **[Mailchimp → Automations → Customer Journeys](https://us1.admin.mailchimp.com/)**, open a journey, and use the journey map view to see how many members are at each step. The drop-off between steps is the visual equivalent of the completion-rate decomposition. * **Mailchimp → Reports → Automations** for per-automation and per-step send and engagement counts. * **The journey map's per-step member counts** are the raw material: entrants at step one versus members reaching the final step. **Why the Vortex IQ completion rate may legitimately differ from a glance at the Mailchimp journey map:** Mailchimp shows per-step member counts; it does not surface a single blended programme completion percentage. Reconciliation means confirming the per-journey entrant and completer counts, not disputing a single Mailchimp number: | Reason | Direction | What to do | | -------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------ | | **Blended vs per-journey.** Vortex IQ reports a programme-level blend; Mailchimp shows one journey at a time. | Not directly comparable | Decompose the Vortex IQ figure by journey, then compare each journey to its Mailchimp map. | | **In-flight members.** Members still inside a wait step have entered but not completed; they depress completion until they exit. | Vortex IQ may read **lower** during long-wait journeys | A journey with a multi-day wait step will show lower completion simply because members are mid-queue, not dropped. Account for wait duration. | | **Goal-rule early exits.** A member who converts and exits via a goal rule counts as not completing the email series, by design. | Vortex IQ may read **lower** | Early conversion is a good outcome, not a failure. A journey with a strong early-conversion goal will show lower completion and that is healthy. | | **Window alignment.** Vortex IQ uses a 30-day rolling cohort; Mailchimp's map shows lifetime-to-date member positions. | Either direction | Compare like cohorts; the rolling window will differ from the lifetime map. | | **Refresh lag.** Completion recalculates each sync; the Mailchimp map updates as members move. | Vortex IQ moves **slowly** | Wait for the next sync; check `last_synced_at`. | **Quick rule for support tickets:** when a merchant says "Mailchimp shows most people reaching the end, why is your rate low?", the usual answer is either in-flight members in a wait step (not yet complete, not dropped) or goal-rule early exits (converted and left, a good outcome). Both depress the raw completion percentage without indicating a broken journey. A *sharp* drop versus prior period, by contrast, is the mechanical-failure signal to chase. ## Known limitations / merchant FAQs **My completion rate is 78 percent. Is that bad?** Not on its own. For a welcome series, 78 percent is entirely normal, some new subscribers convert after the first email and exit via a goal rule, which is the desired behaviour. The 80 percent threshold is a generic guide; what matters far more is the *trend*. A stable 78 percent is fine; a journey that fell from 78 to 50 percent in a month is broken. Always read this card vs prior period, not against a fixed number. **A long wait step makes my completion rate look terrible. Is that real?** No, that is an artefact. Members sitting inside a multi-day wait step have entered but not yet completed, so they count against completion until they clear the wait. A journey with a seven-day wait will always show depressed completion for the most recent cohort simply because they are still queued. Judge such journeys on their settled cohorts, not the in-flight ones, and do not treat a long-wait journey's lower rate as a fault. **Why does early conversion count against completion?** Because completion measures reaching the final *email*, and a member who buys after email two and exits via a goal rule never receives the later emails. That is an excellent outcome (they converted) but it lowers the completion percentage. A journey with a strong early-conversion goal will structurally show lower completion. This is why completion should be read alongside the journey's revenue, not in isolation, a "low" completion rate driven by early conversion is a success, not a failure. **The blended rate moved but each individual journey looks fine. How?** The blend is volume-weighted. If a high-entrant, lower-completion journey grew its share of total entrants this period (say a big welcome intake), the blended rate falls even though no single journey changed. Always decompose by journey before concluding something broke; a mix shift is not a malfunction. **Can Vortex IQ fix the broken step for me?** No. Vortex IQ is read-only. It surfaces the completion drop, helps you locate the stalling step, and points at the likely cause; the republish happens in Mailchimp by the merchant's team. The Vortex Mind Customer Recovery Opportunity report can raise a merchant-side Action describing the suspected break, but the configuration change stays with the merchant. **Does this include single-email automations?** No. A single-email automation has no series to complete, so it is excluded from this metric. Single-email automation health is judged by its send and engagement figures, not by a completion rate. This card is strictly about multi-step journeys. *** ### Tracked live in Vortex IQ Nerve Centre *Automation Series Completion Rate* 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.