A nag to someone on schedule
The timer ignored progress.
BoldBellowsLearnDash inactivity automation for programs where finishing matters
LearnDash student progress and inactivity automation that notices learners who have stopped moving, nudges them by stage and stops the moment they return
LearnDash does not announce that a learner has gone quiet, because nothing happens when someone does nothing. The REST API does report each learner's course progress, so BoldBellows pins the course and the user to the event before any decision is taken, tests every outcome against the live site before it is repeated, then reads progress on a schedule, compares it with the last stored snapshot and counts the days since it last changed. A learner who has not moved for the days you set receives the nudge for that stage, a manager hears about corporate learners only after the stages you choose, and any new progress closes the sequence.
View Pricing
From $795, billed once.
- Track LearnDash inactivity
- Nudges by stage
- Stops the moment they return
The commitments behind the LearnDash to Progress and Inactivity build
- Real inactivityprogress compared with the last snapshot
- Staged nudgeseach stage is sent once
- Stops on returnnew progress ends the sequence
- Managers informedonly after the stage you set
- Evidence keptEach decision stores the identifiers and timestamps behind it
- Simple commercial terms$795 up front for the entry package, with no renewal to remember
01the silent-dropout problem
A drip email on a timer nags the learner who finished yesterday
The reminder goes out on day seven for everyone, whether they are on lesson two or about to take the final. The learner who stopped in week one is mixed up with the busy one who is on schedule, the manager of a corporate cohort hears about dropouts at the end of the quarter, and nobody can say how many people actually stalled. Because LearnDash does not report inactivity as an event, the first sign is usually a learner asking for an extension.
A dropout found at quarter end
Nobody read the progress.
A nudge sent twice
The stage was not recorded.
The same cohort, with nudges that match what people are doing
Before: a progress snapshot for every retry
- A retried delivery adds another progress snapshot
- Reminders run on a timer, whatever the progress
- Dropouts are discovered at the end
After: retries find the progress snapshot they made
- Each learner and course pair, with the last progress snapshot kept beside it links every progress snapshot to its source
- Nudges follow real progress and stop when the learner returns
- Managers hear about stalls at the stage you choose
02how it works
How progress data becomes the right nudge for the learner who has stopped
Three moves: decide whether it counts, locate the progress snapshot, then write and prove it.
- Interpret the source state. The route reads the LearnDash record behind the event and confirms the learning event meets the documented rule.
- Read, compare, count. Each learner's progress is read, compared with the stored snapshot, and the days since it last changed are counted.
- Nudge, alert, close. The nudge for that stage is sent once, managers are alerted when the stage says so, and new progress closes the sequence.
What we know about LearnDash and Progress and Inactivity
- Progress is a read. A course-progress endpoint reports where a user stands in each course, so inactivity is found by reading progress on a schedule instead of waiting for an event that never fires.
- Silence is not an event. The course-progress endpoint reports where a learner stands but LearnDash sends nothing when a learner does nothing, so the route stores a snapshot at every run and treats an unchanged snapshot as the only honest evidence of inactivity.
- Uncertain results. A missing confirmation starts a lookup in progress and inactivity by each learner and course pair, with the last progress snapshot kept beside it; a new write is never the first response.
03What you get
The parts of a LearnDash to progress and inactivity build, and what each does
Start with Core, which admits events and claims identity; Scale then shapes the progress snapshot; Stewardship checks progress and inactivity long after go-live.
CoreScaleStewardship
Trigger gatekeeper Core
Lets only the agreed learning events through and keeps a reason for every one it stops.
Stable identity ledger Core
Turns a LearnDash record into a traceable Progress and Inactivity entry by storing both identities together.
Payload trimmer Core
Cuts each LearnDash payload down to the fields progress and inactivity needs before the progress snapshot is prepared.
Snapshot and nudge writer Scale
Stores each snapshot and sends the nudge for the current stage.
User-and-course matcher Scale
Reads each learner and course pair, with the last progress snapshot kept beside it on every event so a repeat is recognised before it writes.
Stage and audience matrix Scale
Maps days of silence to a nudge, a manager alert or a hold, by course.
Progress register Stewardship
Finds records where progress and inactivity has drifted from LearnDash and shows how long they have been wrong.
Schedule monitor Stewardship
Flags a run that did not complete or a course that stopped reporting progress.
Case register Stewardship
Keeps evidence, status and next step for every progress snapshot that could not be confirmed.
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04Who it's for
If you are among the cohort-based schools with group enrollment, you may also need to notice learners who have stopped moving and nudge them, and their managers where appropriate, before they drift away
Learners start in LearnDash. Whether they finish depends on someone noticing when they stop.
Program coordinator
"Tell me who has stopped."
A list of stalled learners is ready each morning, by course.
Learner
"Remind me, but not when I am on track."
I am nudged only after a real gap, and the nudges stop when I return.
Training manager
"Warn me about my people."
I am told after the stage you set, with who and which course.
Instructor
"How many are stuck?"
The register counts stalls by course and by week.
Operations assistant
"Do not send the same nudge twice."
Each stage is recorded and sent once.
Executive sponsor
"Show completion rates."
Completion and stall trends are summarized for the cohort.
05Compare
A drip email that ignores progress, a zap or a snapshot-comparing nudge route: choosing how LearnDash reaches progress and inactivity
Each can send a reminder. Only one reads real progress and stops when the learner returns.
| How a run starts | a drip email that ignores progress | A no-code LearnDash to progress and inactivity recipe | Our snapshot-comparing nudge route |
|---|---|---|---|
| What starts the work | Whoever is watching LearnDash | Whatever the trigger allows | YesAn approved learning event, judged before any write |
| How identity is decided | Matched by eye | The title or a label | YesUser and course ID with the last progress snapshot |
| What reaches progress and inactivity | A pasted summary | A raw payload | YesOne nudge per stage, stopped by new progress |
| After an uncertain result | Staff search progress and inactivity manually | A blind retry | YesFinds the progress snapshot first, then decides |
Events arrive out of order
Delivery order is not trusted. Each event is ranked by its own time against the state already held in progress and inactivity.
A learner returns on day 13 and finishes a lesson before the day-14 nudge
The new snapshot differs from the stored one, the day-14 stage never fires and the sequence is closed with a note. A search on each learner and course pair, with the last progress snapshot kept beside it finds what exists; a comparison says whether it matches; the outcome is written down. Creation is allowed in one case alone: the progress snapshot is confirmed missing.
Everything in this route hangs from each learner and course pair, with the last progress snapshot kept beside it, so it is agreed before any mapping begins.
PricingThe price follows snapshots, nudges and alerts
Build your LearnDash to progress and inactivity quote, one choice at a time
Price the LearnDash to Progress and Inactivity route in your own time. The configurator handles the sums and starts at $795.
One setup fee · Range shown first · PDF handover included
View Pricing
Pricing
Build your LearnDash to Progress and Inactivity price
Pick a package, answer three short questions about how LearnDash data should reach Progress and Inactivity, and your price and turnaround move as you choose.
06The process
Six steps from a timer to nudges that follow real progress
Every step ends with something you can inspect: a map, a key, a test result or a signed note.
Define a stall
We agree how many days of unchanged progress count as a stall, for each course, and who should hear about it.
Approve access
We connect to the LearnDash data in scope and to Progress and Inactivity, and agree the identifiers the route will store.
Write the nudges
Nudge wording, stages, manager alerts and the schedule for reading progress are shown to you for sign-off before anything runs.
Rehearse the failures
Duplicates, out-of-order events, blank values and timeouts are staged in a test area so the repairs are proven.
Launch with notes
Handover closes the project: a live route, a checkpoint to prove it, and documentation to run it.
Settle in
We watch the live route through its first cycle, compare both sides and tune thresholds where the data says to.
07Turnaround
Days to delivery, package by package
In the LearnDash Student Progress and Inactivity service, the schedule assumes credentials arrive in the first day or two.
Core
4 to 7 business days
Scale
7 to 11 business days
Stewardship
11 to 17 business days
08Before we start
Items to hand over at kickoff
Consent from your LearnDash owner to read the agreed records
A LearnDash site that can host one read-only user for progress checks, the courses where finishing matters and an email address or service for the nudges
Read access to the LearnDash objects this route depends on
A plain-language list of the learning events to include and exclude
The people who should be told when something fails
A time window in which testing can happen safely
09Security and ownership
Scoped access, small payloads, and no changes to either tool
For LearnDash Student Progress and Inactivity, no product code is patched and no bulk export is made.
Published interfaces only
Every request goes through the public interfaces of LearnDash and progress and inactivity. No core file, theme or application code is touched.
Scoped, revocable access
Connections are restricted to the objects on the approved list.
Data kept to the job
The progress snapshot carries the values the business needs and no more; the rest of the LearnDash record is never copied across.
Retries that cannot duplicate
Every repair starts from each learner and course pair, with the last progress snapshot kept beside it and a read of progress and inactivity, so trying again is safe by construction.
Minimal logging
Only technical identifiers reach the run history.
Full handover
The finished route and its explanation are delivered together.
10In their words
What BoldBellows clients say
Verified reviews from operations and finance teams who trust BoldBellows to keep their data moving correctly.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
11FAQ
LearnDash progress and inactivity: what program leads ask
The essentials in question-and-answer form, with room for your own in the quote request.
Should we just use a LearnDash to Progress and Inactivity Zapier recipe?
For a nudge for learners who have gone quiet alone, a basic zap is enough. What it will not do is know who has stopped moving, nudge by stage or stop as soon as they return. This build covers exactly what a basic connector leaves open.
Does LearnDash report inactivity?
No. It sends nothing when a learner does nothing. The route reads progress on a schedule and compares it with its last snapshot.
How often is progress read?
As often as you choose, usually daily, paged through the REST API so every learner is covered.
What if a learner returns?
The next read shows new progress, the sequence closes and no further nudge is sent.
Who is told about stalled learners?
The learner at the early stages and, if you choose, a manager or instructor at later ones.
Can nudges differ by course?
Yes. Each course has its own definition of a stall, its own wording and its own stages.
Will it change anything on the site?
No. It reads progress and sends messages. It writes nothing to LearnDash.
What does the mapping document contain?
A signed-off LearnDash Progress and Inactivity field mapping service output is required before we write to Progress and Inactivity.
Can the route branch on region, value or stage in the LearnDash Student Progress and Inactivity service?
Yes. Your rules decide what moves, so the route becomes a custom LearnDash workflow for Progress and Inactivity. A LearnDash Progress and Inactivity integration consultant's advice comes with it, from $795.
Will I be told if something stops working on the LearnDash Student Progress and Inactivity service?
Dependencies are listed at handover. A breaking change pauses just the part it touches and alerts your owner, and post-review fixes are quoted separately.
Next stepNotice who has stopped before they quit
Give your learners nudges that follow what they actually do
Tell us how Progress and Inactivity should look when things work, and we will automate LearnDash data to Progress and Inactivity to produce exactly that. From $795.
- From $795, paid once
- Real inactivity
- Stops on return
- No monthly fee from us
For enterprise-scale or multi-region needs, request a tailored quote.