1000+ Automations, Built by Industry & Role

New members are automatically prompted within their first week to schedule an initial fitness assessment or consultation, increasing the odds they stick with their membership instead of paying for a gym they never quite figure out how to use. The onboarding coordinator gets a list of new members who haven't yet scheduled their assessment past the first week, flagging them for a personal nudge, and members who complete an early assessment show meaningfully better long-term retention than members who join and are simply left to figure it out on their own.

When a popular class nears full capacity, staff are automatically alerted to consider adding another session, and members on a related interest list are notified of the option, instead of the group fitness director only realizing a class needs a second time slot after weeks of members complaining they can never get a spot. Popular classes stop turning away eager members simply because nobody was tracking capacity trends closely enough to catch it, and adding a second session becomes a proactive, data-backed decision instead of a reactive scramble after losing members to frustration.

Clients nearing the end of a purchased personal training package automatically receive a renewal offer before their sessions run out, instead of the client success coordinator only realizing a package expired once the client stops showing up because they assumed training had simply ended. Renewal offers timed to land a few sessions before the package runs dry catch the client while training is still an active part of their routine, converting far more renewals than an offer sent cold after weeks of no contact.

Members who asked about an out-of-stock retail item, supplements, apparel, equipment, automatically receive a notification the moment it's back in stock, instead of the retail manager relying on the member to happen to check back on their own. Interest captured at the point of the original ask converts into an actual sale once the item is available again, recovering revenue that would otherwise simply be lost the moment a member walked away from an empty shelf and never thought about it again.

The automation automatically detects member milestones, a 100th check-in, a one-year anniversary, and sends a congratulatory message, sometimes paired with a small reward, instead of the member experience manager relying on staff to happen to notice and mention a milestone in passing. Recognizing progress consistently, regardless of who's working the front desk that day, keeps members feeling genuinely seen at a gym or studio rather than treated as just another account, and milestone recognition consistently ranks as one of the most appreciated small touches members mention when asked what keeps them coming back.

For businesses with a corporate wellness partnership, usage reports showing employee engagement are automatically compiled and sent to the partner company on a set schedule, instead of the corporate wellness manager manually pulling attendance data and building a report by hand every reporting period. Partner companies get consistent, professional visibility into whether their wellness benefit is actually being used, which matters directly to whether they renew the partnership, and the studio's own team spends that time on member experience instead of spreadsheet work.

When a member submits an online cancellation request, an automatic retention offer, a pause option or a discount, is presented before the cancellation is finalized, giving the cancellation specialist a real chance to save the membership instead of the request simply processing straight through with no opportunity to intervene. A meaningful share of members canceling for temporary reasons, a busy season, a tight month, take the pause option once it's actually offered, and membership churn drops once every cancellation request runs through a genuine save attempt instead of a same-click confirmation.

When a new class or program is added to the schedule, members whose profile matches the relevant interest tags automatically receive an email or text announcement, instead of the program director sending a single generic blast to the entire member list regardless of whether a given member has ever shown interest in that type of class. A new yoga program reaches members who've actually favorited yoga classes before rather than getting lost in a general newsletter, and new program launches fill faster once the announcement lands specifically with the members most likely to actually show up.

Clients with a health or medical intake form on file are automatically reminded on an annual basis to review and update it before their next session, instead of the compliance coordinator relying on a client to remember to mention a new medication or injury on their own. Keeping intake data current genuinely matters for client safety, especially in a training or spa setting where a new condition can change what's appropriate, and this simple annual reminder closes a gap that used to depend entirely on the client happening to think of it.

The automation internally tracks instructor and trainer certification expiration dates and alerts management well ahead of each renewal deadline, instead of the HR and certification manager discovering a lapsed certification only when a liability question comes up or an insurance audit asks for proof. Every instructor's certification status is visible on a single dashboard rather than scattered across individual personnel files, and the studio avoids the real liability exposure of an instructor unknowingly teaching on an expired credential.

Clients enrolled in nutrition coaching automatically receive scheduled check-in prompts asking them to log meals or progress, keeping them engaged between sessions instead of a nutrition coach only hearing from a client once every couple of weeks at the scheduled appointment. Consistent between-session engagement gives the nutrition coach far more data to actually work with, and clients who check in regularly show better adherence to their plan than clients whose only touchpoint is the session itself, exactly the kind of accountability nutrition coaching is supposed to provide.

Someone who uses a guest pass automatically receives a follow-up offer a few days later inviting them to join as a full member, timed while their experience is still fresh, instead of the sales manager relying on the guest to walk back in on their own initiative. A guest who had a genuinely good first visit is far more receptive to a join offer within the week than months later once the experience has faded, and guest pass conversion rates climb meaningfully once the follow-up happens automatically and on time every single time.

After a scheduled body composition scan, the results are automatically compiled into a simple, easy-to-read progress report and emailed to the member, showing change over time instead of the health coach manually building a comparison report for every scanned member. Members can see their own trend line building visit after visit rather than a single disconnected number each time, and visible progress delivered automatically and consistently is one of the strongest drivers of continued engagement a program like this has.

If the regularly scheduled instructor for a class is swapped for a substitute, every member booked into that class automatically receives a heads-up notification ahead of time, instead of members finding out only when they arrive and discover someone unfamiliar teaching. The instructor coordinator no longer has to manually track down and notify every affected booking by hand, and members consistently appreciate the advance notice, even when it doesn't change their decision to attend, simply because nobody likes an unexplained surprise at the front of the room.

Members who placed their membership on a temporary freeze automatically receive a reminder before the freeze period ends and billing is set to resume, instead of a member being surprised by a charge they'd forgotten was coming back. The membership coordinator no longer has to manually track every active freeze and its end date, and members who get a clear heads-up before billing resumes are far less likely to call in confused or upset about a charge that was actually agreed to months earlier.

Members enrolled in a fitness challenge automatically receive periodic updates on their progress and where they stand on the leaderboard, keeping motivation and engagement high instead of a challenge quietly losing steam once the initial excitement of signing up fades. The group fitness director no longer has to manually calculate and post leaderboard standings, and challenges that used to see participation drop off sharply after the first week hold engagement much better once members get regular, automatic visibility into how close they are to the top.

Based on the specific service a client received, they automatically get a follow-up email recommending relevant retail products to help maintain the results at home, instead of the retail manager relying on the service provider to remember to mention products during a rushed appointment. Recommendations are tailored to the actual service performed, a specific shampoo for a color treatment or a particular recovery product for a deep tissue massage, and retail attach rates climb once the recommendation reaches the client at exactly the moment they're thinking about maintaining their results.

After a prospect tours the facility but doesn't sign up on the spot, they automatically receive a follow-up sequence over the following week addressing common hesitations, price, schedule flexibility, whether the classes are actually beginner-friendly, instead of the sales coordinator only following up once with a single generic email before giving up on the lead. A tour that didn't convert immediately isn't necessarily a lost prospect, and a well-paced follow-up sequence consistently recovers a meaningful share of tours that would otherwise have simply gone cold.

Gym equipment is automatically flagged for scheduled maintenance based on usage hours or elapsed time since the last service, preventing breakdowns from being caught only after a member reports a machine that's already broken. The facilities manager gets a proactive maintenance schedule instead of a purely reactive one, and equipment downtime drops noticeably once servicing happens on a predictable schedule tied to actual usage rather than whenever someone happens to notice something's making an odd noise.

Members who cancel automatically receive a short survey asking why, with the responses feeding directly into a report management uses to improve retention, instead of a cancellation simply closing out with no insight into what actually drove the decision. The retention specialist can spot real patterns, a specific class getting cut, a pricing complaint that keeps coming up, that a handful of individual cancellations would never reveal on their own, and those patterns turn into concrete fixes instead of the same churn reasons quietly repeating month after month unnoticed.

When a member finishes a multi-week program, such as a couch-to-5K series, they automatically receive a completion certificate along with a suggestion for their next program, instead of a member finishing a genuinely meaningful milestone with nothing but silence to mark it. The member experience manager can see completion rates by program, and members who receive real recognition at the finish line, plus a clear next step to keep the momentum going, are far more likely to enroll in whatever comes next instead of quietly drifting away once the original goal is reached.

New members interested in personal training are automatically matched and introduced to a trainer based on their stated goals and schedule availability, instead of a manual front-desk handoff that often depends entirely on which trainer happens to be standing around when the interested member walks up. Matches based on actual goal alignment and real schedule overlap lead to a stronger first session and a better shot at a long-term training relationship than a match made purely on who was available in the moment.

The automation automatically compiles room and studio usage data to identify underused time slots, giving management data-backed opportunities for adding new classes instead of scheduling decisions being made purely on instinct about which times "feel" slow. A studio manager can see exactly which rooms sit empty at which hours across the week, turning a vague sense that "mornings feel quiet" into a specific, actionable opportunity to test a new class in a slot that's actually available and underused.

Members who haven't logged into the booking app in a while automatically receive a re-engagement message highlighting new classes or features they may have missed, catching a quietly disengaging member through their app behavior before it shows up as a missed check-in at the front door. Reminding a member what's new, rather than a generic "we miss you" message, gives them an actual reason to open the app again, and this kind of early, specific nudge consistently recovers engagement that a later, blunter win-back message would have missed entirely.

Ahead of a specific spa treatment, clients automatically receive relevant prep instructions, arriving early, avoiding sun exposure, skipping certain products, tailored to that particular service, instead of the spa manager relying on the client to remember verbal instructions given weeks earlier at booking. Clients who arrive properly prepped get a noticeably better treatment result and experience, and the spa avoids the awkward situation of a client showing up unprepared for a service that genuinely needed prep to go well.

Members due for a routine annual health screening automatically receive a referral reminder pointing them to a partnered health provider, instead of the wellness director's outreach depending entirely on remembering which members are due and when. Members appreciate a wellness-minded reminder that goes beyond just fitness, and a partnership referral program like this deepens the relationship between the studio and its health provider partners while genuinely helping members stay on top of care they might otherwise put off indefinitely.

Members using a punch card or class pack automatically get notified as their remaining balance runs low, prompting a timely repurchase before it hits zero, instead of the billing coordinator only learning a pack is empty when the member is turned away at check-in with no credits left. Members who get an early low-balance warning repurchase at a far higher rate than members who discover they're out mid-checkout, and revenue from pack renewals becomes far more predictable once the reminder happens automatically at the same threshold every time.

The automation tracks a new member's check-in frequency during their critical first 30 days and automatically triggers extra outreach if engagement is low, since early inactivity is one of the strongest predictors of an eventual cancellation. The onboarding coordinator gets a live list of new members trending toward disengagement while there's still real time to intervene, and catching a slow start in week two instead of discovering it in month three's cancellation report saves memberships that would otherwise quietly lapse without anyone noticing until it's too late.

Ahead of a holiday closure or reduced-hours schedule, every member automatically receives a mass notification so no one shows up to a locked door, instead of the front desk lead posting a sign on the entrance that only reaches whoever happens to physically walk up and read it. The notification goes out with enough lead time for members to actually plan around it, and complaints about showing up to a closed facility drop to essentially zero once every member gets the same clear notice well ahead of the actual closure.

Separate from license renewal itself, the automation reminds trainers of required continuing education hours ahead of their recertification deadline, giving the HR and certification manager a second layer of tracking beyond just the certification expiration date. Trainers who fall behind on CE hours get flagged with enough lead time to actually catch up before the deadline arrives, instead of a last-minute scramble to cram in required hours, and the studio avoids the operational disruption of a trainer suddenly unable to teach because their CE requirement quietly lapsed unnoticed.

Any call to the business line that goes unanswered after a set number of rings, whether the team is on another call, out of the office, or simply swamped, triggers an instant automated text back to the caller within seconds, letting them know the business saw the missed call and will follow up shortly, along with a link to book online if that's faster. The missed call and the caller's number are logged automatically into the CRM as a new lead so no follow-up slips through the cracks by the end of the day. Businesses that used to lose a chunk of inbound leads to voicemail black holes start capturing conversations that would otherwise have gone straight to a competitor who happened to pick up.

This automation checks Google, Yelp, and Facebook every 15 minutes for new reviews and instantly routes anything rated 3 stars or lower to a dedicated Slack or email alert tagged urgent, so a manager can respond publicly within the hour instead of finding out about a bad review weeks later during a routine check. Positive reviews are logged automatically into a running library the marketing team can pull from for testimonials and social proof. What used to be an occasional manual scroll through three different review sites becomes a live feed that catches reputation problems while they're still fixable.

The website chatbot handles the repetitive questions on its own (hours, pricing ranges, appointment availability, return policy) and answers them instantly, day or night. The moment a visitor asks something the bot can't confidently resolve, or explicitly asks for a person, the conversation is automatically handed off to a live team member along with the full chat transcript, so the customer never has to repeat themselves from scratch. Conversations that come in after hours are queued and routed to the first available team member the next morning with the same context attached. Support staff spend their time on the questions that actually need a human instead of typing out the same five answers all day.

Every form submission from the website, chat widget, or landing page flows straight into HubSpot, where a scoring model weighs company size, job title, and stated budget before the lead is auto-assigned to the next available rep on a round-robin basis inside the territory rules. Zapier watches for the new record, pings the assigned rep in Slack with a summary card, and starts a five-minute countdown timer; if the rep hasn't logged a first touch by then, the lead reroutes automatically to the next name in line and a manager gets a heads-up. A calendar link from Calendly is embedded in the notification so the rep can book a call in one click. Teams that used to let hot leads sit in a shared inbox overnight now see median first-response time drop from hours to under six minutes, with far fewer leads going completely untouched.

A fresh list of prospects pulled from LinkedIn Sales Navigator or Apollo.io is enriched with verified emails and firmographic data, then loaded into Outreach.io as a multi-step sequence blending email, LinkedIn touches, and call tasks spaced across three weeks. Make.com watches the mailbox for replies and automatically pauses the sequence the moment a prospect responds, tags the lead as "engaged" in the CRM, and creates a follow-up task for the BDR instead of letting an automated email land in someone's inbox after they've already replied. Bounced or unsubscribed contacts are scrubbed from future sequences the same day to protect sender reputation. BDR teams running this setup typically book 20 to 30 percent more qualified meetings per rep per month, simply because no prospect gets an awkward, tone-deaf automated email after they've already said yes.

The moment a quote is generated in PandaDoc and marked as sent, Zapier logs the timestamp against the opportunity in Salesforce and kicks off a scheduled follow-up cadence: a check-in email at day two, a value-reminder email at day five, and a Slack nudge to the account executive at day eight if the quote still shows an "unopened" or "viewed but not signed" status. Document-open and time-on-page tracking from PandaDoc feeds back into Salesforce so reps can see exactly which pricing page a prospect lingered on before their next call. Quotes that go stale past two weeks automatically flag the deal for manager review instead of quietly rotting in the pipeline. Sales teams using this cadence report closing meaningfully more quotes before they expire, and reps stop having to remember which proposals still need a nudge.

Every open opportunity in the CRM is monitored against expected time-in-stage benchmarks pulled from historical close data; the moment a deal sits in the same pipeline stage longer than its benchmark, whether that's "Proposal Sent" for nine days or "Negotiation" for two weeks, Make.com fires an alert to both the deal owner and their manager in Slack with a direct link to the record in HubSpot. A weekly digest compiled in Google Sheets rolls up every stalled deal by rep and by stage so sales operations can spot bottlenecks across the whole team rather than chasing one deal at a time. Deals that stall twice in a row get automatically flagged for a joint call between the rep and manager. Pipelines that used to quietly rot now get caught early, and forecast accuracy improves because stalled deals stop masquerading as healthy ones.

When a rep requests a discount beyond their standard authority inside the CRM, whether it's 15 percent off list price or a custom payment schedule, the request automatically routes through an approval chain built in Zapier: a sales manager approves anything up to 25 percent, while anything higher escalates straight to the VP of Sales with the deal's margin and history attached as context. Approvals and rejections are logged back onto the Salesforce opportunity with a timestamp and approver name, and PandaDoc regenerates the quote automatically once sign-off comes through, so reps never manually re-key pricing. Slack notifications keep everyone in the loop without a single email thread. Deal desks that used to take two or three days to approve exceptions now turn most requests around in under four hours, and finance gets a clean audit trail of every discount ever granted.

Once a contract goes out for signature through DocuSign, the system tracks whether the recipient has opened it, and if it sits unsigned past 48 hours, Make.com automatically sends a polite reminder email, followed by a second nudge at day five and a task assigned to the rep in Salesforce at day seven asking them to place a personal call. Signed contracts trigger an instant Slack notification to the deal team and automatically kick off onboarding in the background so there's no gap between "signed" and "kickoff." Contracts that stall past ten days escalate to the sales enablement manager for a status check. Companies running this sequence cut average time-to-signature by several days and recover a meaningful share of deals that previously died quietly in an inbox waiting on a signature nobody chased.

Closed-won deals sync out of Salesforce the moment they're marked won, and Make.com runs each one against the rep's commission plan, factoring in deal size, product mix, and any accelerator tiers, to calculate the exact payout owed. The result populates a running commission ledger in Google Sheets that every rep can see in real time, removing the mystery around what they actually earned that month. Approved totals push automatically into QuickBooks Online for payroll processing, with a Slack summary sent to each rep and their manager once numbers are finalized. Clawbacks from cancelled deals are flagged automatically rather than discovered months later during a manual audit. Finance teams that used to spend two full days each month reconciling commissions by hand now close the process in under an hour with far fewer disputes.

New leads landing in the CRM are matched against a territory map built on postal code, industry vertical, and account size, then automatically assigned to the correct rep the instant they're created rather than sitting in a shared queue for someone to eyeball and reassign by hand. Zapier cross-references the lead's company data enriched by Clearbit against the territory rules stored in Airtable, then updates the owner field in HubSpot and notifies the receiving rep in Slack with full context attached. Leads that fall outside every defined territory, like a new market or an edge-case account size, route to the territory manager for manual review instead of getting silently dropped. Reassignments that used to take a manager twenty minutes of manual sorting each morning now happen instantly, and reps start their day already working the right accounts.

The instant an opportunity is marked Closed Won or Closed Lost in the CRM, a short structured survey link built in Typeform fires off to the rep asking for the primary reason behind the outcome, whether that's pricing, timing, a competitor, or missing features, and Make.com writes the response straight back onto the Salesforce record as a tagged field. Lost deals citing a specific competitor automatically populate a running competitive-loss tracker in Google Sheets that sales leadership reviews monthly. Reps get a friendly Slack reminder if they haven't filled in the reason within 24 hours of the deal closing, keeping the data clean and current. Teams that previously had almost no reliable loss-reason data now have a searchable, tagged history behind every closed deal, which has directly shaped two rounds of pricing and packaging changes.

Ninety days before any customer's subscription renewal date stored in the CRM, an automated cadence kicks off in HubSpot: a check-in email at day 90, a usage-and-value recap pulled from the product's billing data in Stripe at day 60, and a personal outreach task assigned to the renewals manager at day 30 if there's been no response. Accounts flagged as at-risk, based on declining usage or an open support ticket, skip straight to a Slack alert for the renewals manager rather than waiting for the standard timeline. Signed renewal agreements route through DocuSign and automatically update the account's term dates back in the CRM. Since putting this cadence in place, renewal outreach no longer depends on someone remembering to check a spreadsheet, and on-time renewal rates have climbed noticeably while last-minute scrambles have all but disappeared.

Product usage data and billing history sync nightly from Stripe and the product database into HubSpot, where a set of trigger rules watches for signals like a customer approaching a usage cap, adding new users, or hitting a feature limit repeatedly in one week. The moment a trigger fires, Make.com creates a tagged upsell opportunity on the account, assigns it to the account manager, and drops a Slack alert summarizing exactly which signal fired and what the recommended next package would be. A ready-to-send email template pulled from HubSpot's sequence library gives the account manager a starting point instead of a blank page. Accounts that used to get upsold only when a customer proactively asked now get a timely, relevant conversation started by the vendor, and expansion revenue per account manager has grown as a direct result.

The day a new sales hire's start date is entered into the HR system, Zapier spins up a full onboarding checklist: CRM and email accounts get provisioned automatically, a 30-60-90 day training plan populates in Asana with due dates already calculated from the start date, and calendar invites for shadow calls and product training sessions go out through Google Calendar without anyone touching a scheduling link. Each completed milestone in Asana triggers a Slack update to the sales trainer and hiring manager, and Gong access gets granted automatically so the new rep can start listening to recorded calls from top performers on day one. Ramp time that used to stretch past 60 days because someone forgot a step now compresses noticeably, and new reps report feeling productive and supported from their very first week instead of guessing what to do next.

A nightly scheduled workflow scans every new and updated record in Salesforce for duplicate contacts and companies, missing required fields, and stale data like phone numbers that have bounced repeatedly, then automatically merges obvious duplicates and flags ambiguous ones for a quick human review in a shared queue. Make.com cross-references company records against ZoomInfo to fill in missing firmographic fields like employee count and industry automatically rather than leaving them blank. A weekly data-health scorecard gets generated in Google Sheets and posted to Slack so sales leadership can see hygiene trends over time instead of discovering the problem during a reporting crisis. Reps who used to waste time working dead phone numbers and duplicate accounts now trust the CRM data enough to actually use it, and reporting accuracy across the whole sales org has improved measurably.

Badge scans and business card captures from the show floor, collected through a lead-retrieval app or a JotForm survey at the booth, sync automatically into HubSpot the same evening rather than waiting for someone to manually key in a stack of cards after flying home. Each lead is tagged with the specific event and booth conversation notes, scored based on the interest level the rep recorded on the spot, and routed to the right account executive with a personalized follow-up email queued in Zapier to send within 24 hours while the conversation is still fresh. A Slack channel dedicated to the event gives the whole team visibility into which leads are being worked. Companies that used to let trade show leads sit for two or three weeks before the first follow-up now make contact within a day, and show ROI has become something they can actually measure.

When an existing customer or partner submits a referral through a branded form built in JotForm, the record automatically creates a new lead in HubSpot tagged with the referring party's name and routes it to the appropriate sales rep within minutes. Make.com tracks that lead through every pipeline stage, and the moment it closes as a won deal, the system calculates the referral payout based on the program's tiered percentage rules and generates a payout request that flows into QuickBooks Online for processing. The referring partner gets an automatic status update by email at each major milestone so they're never left wondering what happened to a lead they sent over. Partnerships teams that used to track referrals in a scattered spreadsheet now have a fully auditable pipeline, and partners who see fast, reliable payouts consistently refer more business.

Every rep's closed and pipeline-weighted numbers sync out of Salesforce daily into a live quota-tracking dashboard built in Google Sheets, calculating attainment percentage against monthly and quarterly targets automatically instead of relying on someone updating a spreadsheet by hand every Friday. Make.com checks the numbers each morning and sends a personalized Slack message to any rep tracking below 70 percent of pace at the midpoint of the month, along with a note to their manager so coaching conversations happen while there's still time to course-correct rather than during a post-mortem. Reps who hit a milestone, like their first $50,000 quarter, get an automatic shout-out posted to the team Slack channel. Sales leaders who used to find out about a rep's shortfall on the last day of the month now catch it three weeks earlier, giving coaching time to actually move the number.

Every call transcript captured through Gong or Chorus gets scanned automatically for mentions of named competitors, and the moment one comes up, whether a prospect casually name-drops a rival or asks for a direct comparison, Make.com tags the call, extracts the surrounding sentence for context, and posts it to a dedicated competitive-intel channel in Slack. A running log in Airtable tracks mention frequency by competitor and by deal stage, giving the competitive intelligence analyst real data instead of anecdotes when building battlecards. Deals with three or more competitor mentions automatically flag for a battlecard-review task assigned to the deal's rep before their next call. Sales teams that used to learn about a scrappy new competitor secondhand, months after it started costing them deals, now catch the trend within days and adjust messaging before it becomes a real problem.