Gym Email Marketing Case Study in Pakistan

The Client

The business was a mid-premium gym chain operating six branches across Lahore — in DHA, Gulberg, Johar Town, Bahria Town, Wapda Town, and Model Town. Monthly memberships sat between PKR 6,500 and PKR 12,000 depending on branch and tier, with a meaningful share of annual prepaid members. Their growth engine was solid: a steady walk-in trial and day-pass funnel driven by Instagram content, locality search, and member referrals brought a healthy flow of prospects through the doors of every branch.

The top of the funnel worked. The problem was what happened after sign-up. The chain was converting trials into paid members at an acceptable rate, but it was bleeding members in the first ninety days. Churn was concentrated in a predictable place — members who attended fewer than two sessions in their first week were dramatically more likely to cancel or simply stop coming — and yet nothing in the marketing system responded to that signal.

Beyond a single welcome email sent at sign-up, there was no lifecycle programme. Class booking reminders were handled manually over WhatsApp by front-desk staff, which meant they were inconsistent and impossible to scale across six branches. Member data lived in a local membership management system that exported to spreadsheets, and none of that attendance data ever reached the marketing platform. The email list, at roughly 14,000 contacts, was used to send one generic monthly newsletter. There was no segmentation, no revenue attribution, and no way to know whether a given email had ever caused a membership.

Leadership had assumed that retention was a product problem — better classes, better equipment, better trainers. Those things matter, but the diagnostic showed that a large share of early churn was a communication problem: new members never formed the habit, and nothing in the system noticed or intervened. They engaged us to design and build email marketing automation lifecycle flows that could change that.

The Problem

The first two weeks of audit made the retention gap measurable, and the numbers were uncomfortable.

• 90-day churn near 31%. Roughly a third of new paid members were gone within three months, and the churn was tightly clustered. Members who attended fewer than two sessions in week one cancelled at more than double the rate of those who attended three or more.
• No onboarding beyond a welcome email. A single generic message went out at sign-up. There was no sequence, no habit-formation content, no check-in nudge, and no response if a new member failed to attend.
• No attendance signal in marketing. The membership system recorded check-ins, but that data never reached the email platform. Marketing was effectively blind to who was attending, who was fading, and who had already quietly quit.
• No win-back path. Once a member cancelled or stopped paying, they were removed from the active list and never contacted again. Lapsed members — often the easiest people to win back — were treated as permanently lost.
• A list of 14,000 sending one newsletter. The entire contact base received the same monthly blast regardless of membership status, branch, attendance, or lifecycle stage. Open rates had been declining for three quarters, and there was no revenue attribution to defend the channel.

The strategic misread was treating retention as purely an in-club experience problem. In practice, much of the early churn was preventable through timely, relevant communication tied to actual behaviour — but the infrastructure to do that did not exist.

Phase 1 — Data audit and segmentation (Weeks 1-2)

We started by closing the data gap, because no lifecycle programme can outperform the data feeding it. The membership management system exported attendance and membership status nightly; we built a scheduled pipeline that pushed that export into Klaviyo, mapping each member’s state as a set of profile properties and events: membership_status, branch, last_check_in, sessions_this_week, membership_start_date, and membership_type.

With the data flowing, we defined the segments that would drive every flow. Segmentation was behavioural, not demographic, because churn in a gym tracks behaviour far more closely than it tracks age or location.

Segment	Definition	Purpose
Trial active	On a trial or day pass, not yet paid	Convert to paid
New member (0-30 days)	Paid, within first month	Build the habit
Active	Attended 2+ sessions in the last 14 days	Maintain and upgrade
At risk	Paid, zero sessions in 10-14 days	Reactivate before cancellation
Dormant	Paid, zero sessions in 21+ days	Urgent save
Lapsed	Cancelled or expired in last 90 days	Win back

We cleaned the list in the same pass: suppressing bounced and unengaged contacts, separating the genuinely active base from years of accumulated dead emails, and setting up revenue tracking so every flow could be tied to memberships and renewals it influenced. The baseline measurement — 31% 90-day churn, 69% 30-day active retention, 38 email-attributed memberships per month — was locked in here so the engagement could be judged against a real starting point.

List cleaning was not a side task. Roughly a third of the 14,000 contacts had not opened an email in over a year, and continuing to mail them was quietly damaging deliverability for the entire programme before it had even begun. We moved long-inactive contacts into a sunset segment that received only win-back attempts, and re-permissioned the active base with a preference step that also captured each member’s home branch and training goals. That preference data then fed straight back into segmentation, so within the first two weeks the programme was already more relevant to the people receiving it — and the sender reputation the new flows would depend on was protected before the first campaign shipped.

Phase 2 — Lifecycle flow build (Weeks 3-6)

We built five flows, each mapped to a segment and a specific behavioural trigger. The principle across all of them was the same: emails should arrive at moments determined by what a member actually did, not by an arbitrary calendar.

1. Trial onboarding (14-day, check-in-triggered). When a prospect started a trial, the flow began, but the cadence responded to behaviour. If they attended within the first three days, they received a “welcome, here’s how to book your next class” message and a guided plan for their first week. If they did not attend, the message changed to a friction-cutting nudge — a free guest pass to bring a friend, removing the social awkwardness that stops many trials from returning. This single branch of logic recovered a segment that would otherwise have lapsed silently.

2. New member habit-formation (first 30 days). Once a trial converted to paid, the flow shifted to habit-building: a structured four-week introduction, class recommendations tied to their branch and stated goals, and timely check-ins. The aim was to move every new member past the two-session-per-week threshold that the data showed predicts long-term retention.

3. At-risk reactivation (attendance-triggered). When a paid member hit ten days without a check-in, the flow fired: a genuine, non-automated-feeling check-in offering a free session with a trainer or a class recommendation. This was the flow that mattered most for the headline churn number, because it intervened at the exact moment members typically decide whether to keep paying.

4. Win-back (lapsed). Lapsed members entered a three-step sequence over six weeks: a “we miss you” message, a time-limited rejoin offer, and finally a feedback request from those who did not return. Pricing in every offer was grounded in PKR and timed around the local context — for example, avoiding aggressive discounting in the weeks before annual renewals.

5. Renewal and upgrade. Thirty days before a monthly or annual membership expired, a renewal sequence began, with an upgrade path to a higher tier or annual plan for members whose attendance pattern showed sustained engagement.

Every flow was written in bilingual tone — English subject lines for higher deliverability and open rates, with Urdu and Roman-Urdu phrasing in the body where it felt natural to the audience. Content reflected local realities: Ramadan class timings, the Lahore summer heat that suppresses afternoon attendance, and branch-specific class schedules. Building this on a customer onboarding automation foundation meant each branch manager could see which of their members were inside a flow and what message they had last received.

The localisation was systematic rather than incidental. Each branch kept its own class schedule, and the onboarding flow pulled the next three available sessions for the member’s home branch instead of a generic timetable, which made every booking nudge immediately actionable. Subject lines were tested in both English and Roman-Urdu; Roman-Urdu consistently outperformed on open rates for the at-risk and win-back segments, where a familiar conversational tone read as a genuine human check-in rather than a corporate broadcast. Offers were denominated in PKR and framed around real membership economics — a waived joining fee, a free personal-training session, a bring-a-friend pass — rather than percentage discounts, which tested poorly in a market where members respond to tangible perks more readily than to abstract savings.

Phase 3 — Attendance triggers and staff routing (Weeks 5-8)

The flows on their own would have helped, but the retention lift came from pairing automation with human outreach at the right moment. The check-in feed that powered segmentation also powered a simple routing rule: when a member entered the at-risk or dormant segment, a task was created in the CRM and posted to the relevant branch’s staff channel, with the member’s name, branch, last visit, and a suggested action.

Front-desk and fitness staff then made a short, personal call or sent a targeted message — not a script, just a genuine check-in from someone the member had actually met at the gym. The automation’s job was to surface the right person at the right moment; the human’s job was to close the loop. This combination is what moved the at-risk segment from a silent loss into a recoverable relationship, and it is the part of the framework that a flow-only setup would have missed.

We also re-onboarded dormant trial holders — prospects who had taken a trial, never converted, and were sitting untouched on the list. A single, well-timed message offering a free return visit with a friend recovered a measurable share of this segment at effectively zero marginal cost. Across the lifecycle, the work of any retention programme is as much about reactivating the people you already have as it is about the people you are acquiring.

Phase 4 — Measure and iterate (Weeks 8-12)

The final phase was measurement and refinement. We tracked flow-level revenue, conversion, and churn weekly, and ran structured A/B tests on the variables that mattered most: subject lines, offer timing in the at-risk flow, and the day-part of trial onboarding messages.

The at-risk reactivation flow was the clearest winner, both in absolute revenue and in members saved. Adjusting its trigger from fourteen days of inactivity to ten caught members earlier in the fade, before they had mentally disengaged, and lifted the save rate materially. The trial onboarding flow’s friction-cutting branch — the guest-pass nudge for non-attenders — drove the lift in guest-pass-to-paid conversion, because it addressed the real reason most trials fail: the social barrier to a second solo visit.

Dashboards were shared with branch managers so the retention numbers were visible alongside acquisition, and so each branch could see how its own members were responding. This turned retention from an invisible back-office metric into something the whole team could act on.

Final Results

At the 90-day reporting window, the lifecycle programme had reversed the retention trend that had constrained the chain for three quarters.

Metric	Before	At 90 days
Trial-to-member 90-day churn	31%	23% (-26%)
Guest-pass to paid conversion	34%	43%
30-day active member retention	69%	82%
Email-attributed new memberships / month	38	71
First 6-month member LTV	PKR 42,000	PKR 51,200 (+22%)

The 26% relative reduction in trial-to-member churn is the headline, but the compounding effect on lifetime value is the more important number for the business. A gym’s economics are brutally sensitive to early churn: every member retained past ninety days is far more likely to reach annual renewal, and annual members are the profitable core of the model. The 22% lift in first-six-month LTV, driven almost entirely by extended retention rather than price increases, is what made the engagement pay back well inside its first quarter.

What Made This Work

1. Behaviour triggered everything. Segments and messages were built around check-ins and attendance, not demographics or a fixed schedule. An email that arrives because a member actually faded is infinitely more useful than one that arrives because thirty days passed.
2. Automation surfaced the moment; humans closed it. The staff-routing rule is what separated this from a flow-only setup. Technology identified the at-risk member at the right time; a person the member knew made the save. Neither half works as well alone.
3. The friction-cutting re-onboarding recovered lost segments. Dormant trial holders and lapsing members are usually written off. Treating them as a second conversion opportunity, with an offer that removed a real barrier (the social awkwardness of returning alone), produced revenue the chain had been leaving on the table.
4. Data infrastructure came first. No lifecycle programme outperforms its data feed. Connecting attendance to the email platform before building a single flow is what made behavioural triggering possible at all.
5. Localisation was functional, not cosmetic. Bilingual tone, PKR-grounded offers, Ramadan timing, and branch-specific schedules were not flourishes — they were the reason members responded. Generic global gym copy would have underperformed in Lahore.

What Teams Can Apply

1. Map your churn to a behaviour, then trigger against it. Find the early signal that predicts cancellation — for gyms it is week-one attendance, for clinics it might be a missed follow-up, for subscriptions it is a drop in usage. Build your first flow around that single signal before anything else.
2. Close the data loop between operations and marketing. If your membership, booking, or product-usage system does not feed your email platform, your flows will be calendar-based and blunt. Fix the data pipeline first.
3. Route at-risk customers to people, not just emails. Automation is excellent at surfacing the right moment; it is poor at genuine human contact. Build the staff-routing step into any retention flow where trust is part of the relationship.
4. Re-onboard the dead list. Your lapsed and dormant contacts are usually the cheapest growth available. A single, well-targeted reactivation message to people who already know your brand often outperforms cold acquisition.
5. Measure LTV, not just churn. Churn is a leading indicator; lifetime value is the economic outcome. Track both, and tie flow performance to revenue so the lifecycle programme is defensible to leadership.

For Pakistani service businesses running on recurring relationships — marketing for gyms, clinics, studios, training institutes, and subscription services — this framework transfers directly. The local variables (payment cycles, seasonal attendance dips, language mix, branch structure) change the messaging, but the attendance-triggered retention mechanics are identical.