Case studies

Five engagements that taught us how to build.

These aren't flexes. They're patterns — each one shaped a part of the stack that's now standard for every engagement we take on. Identities anonymized, specifics adjusted for client privacy, the lessons left intact.

Har engagement ek lesson tha — kuch hum sikhe, kuch system ne sikha.

FEATURED — EDUCATION VERTICAL · PRODUCTION ENGAGEMENT · 3 YEARS

From PKR 5,000 test to PKR 1M+ managed.

A regional education brand running coaching programs for high-school and undergraduate students. Came in with one campaign assumption — that paid social was just for awareness — and left it behind by month two.

What we did

  • Built the first acquisition engine on a single PKR 5,000 test campaign. It returned 215 leads. We rebuilt our own scaling rules around that result.
  • Ran 180+ campaigns and 320+ ad sets across three years, with every adset reviewed every two hours by an automated kill/scale system.
  • Watched cost-per-lead drift from PKR 22 in year one to PKR 200+ by year three — and built the engine reset playbook precisely because we lived through it.
  • Kept the operator inside every approval loop. Nothing published without sign-off, even after three years of trust.

What changed

The engine that this client funded is the engine every other client now starts with on day one.

"Pehle hum sirf ads chala rahe the. In teen saalon mein, brainlitt ne hum ko sikhaaya ke ads ka kaam sirf reach lana nahi — har lead ka journey monitor karna hai. Aaj humara cost per message us level pe hai jo hum khud nahi nikaal sakte the. The system did what no team could."

— Owner / Education vertical / 3-year engagement

— Other engagements

Four more, briefly.

Different verticals, different engagement shapes. The thread is the same — operator-led, system-watched, observable end-to-end.

BEAUTY & AESTHETICS · GROWTH · ONGOING

Treatments that book themselves before the front desk gets the lead.

A multi-treatment clinic in Lahore. Hydrafacial, laser, PRP, mesotherapy. Twenty-three services running in parallel, each with different seasonality and price-sensitivity.

What we did

  • Split campaigns by treatment vertical, not audience cohort. Hydrafacial buyers don't behave like laser buyers; the engine learns each separately.
  • Wired WhatsApp click-to-chat as the primary conversion path. Walk-ins get the front desk; the engine handles the digital funnel.
  • Built a Ramadan calendar overlay so promotional pacing matched cultural rhythm, not Western Q1/Q2/Q3 logic.

What changed

Cost-per-booking down ~40% in the first quarter. Front desk time freed for in-clinic experience.

"Hum ne pehle khud Facebook pe ads chalaye the — sab paisa bahir gaya, koi result nahi. Yahan se shuru huey to pehlay mahine mein farq saaf nazar aaya. WhatsApp pe seedha booking aati hai ab. Front desk ko phone call ka tension nahi raha."

— Founder / Beauty & aesthetics / Lahore

FOOD & BEVERAGE · PILOT · 90 DAYS

Ordering moved from phones to chats. Front-of-house got their lives back.

A quick-service restaurant brand with three locations, testing whether WhatsApp ordering could replace phone-order chaos during peak hours.

What we did

  • Built a WhatsApp menu flow with auto-confirmation and location routing. No human in the loop until pickup.
  • Ran a tight 90-day media test on Meta and Instagram targeting three kilometres around each location.
  • Operator-led adjustments twice a week based on order-time data, not vanity metrics.

What changed

Phone orders dropped from ~70% of volume to ~25%. Average order time during peak hours cut by eight minutes. Pilot validated; client took the playbook in-house.

"Lunch hour pe phone ringing kabhi rukti hi nahi thi. Staff ka half time bas calls pe jaata tha. Ab WhatsApp pe order aata hai, location apne aap route hoti hai, kitchen seedha tickets print karti hai. The 90-day pilot did exactly what it was supposed to do."

— Operations head / F&B / Three-location chain

HEALTHCARE · PRODUCTION · 18 MONTHS

Three locations, one operations dashboard, zero double-booked appointments.

A dental practice expanding from one location to three across the city. Patient acquisition was working; operational coordination wasn't.

What we did

  • Built a unified appointment intake flow across all three locations, with availability checked in real-time before any booking confirmation.
  • Layered insurance verification into the same flow — patients knew coverage status before walking in, not after.
  • Set up a per-location performance digest so each branch had visibility on its own funnel without the founder manually reporting.

What changed

Double-bookings eliminated. Patient retention up because follow-ups stopped slipping through location handoffs. Founder moved from operations into actual dentistry.

"Hum ne three locations open kar liye thay, but har location apna alag system chala raha tha. Founder ko har subah teen WhatsApp groups check karne padte the. Yeh sab ek dashboard mein aa gaya — and suddenly running three clinics feels like running one."

— Founder / Healthcare / Multi-location practice

RETAIL · GROWTH · 14 MONTHS

Saturday spike used to crash the inbox. Now it's the inbox that triggers Saturday.

A modest-fashion D2C brand selling primarily through Instagram. Sales were strong on weekends, but the customer service team couldn't keep up with the spike — leads cooled before they were answered.

What we did

  • Migrated the entire inbound from DMs into a structured WhatsApp flow with FAQ auto-replies and order confirmation loops.
  • Wired campaign pacing to inbox capacity — when response time drifted past eight minutes, ad spend automatically eased to let the team catch up.
  • Set up a 'weekend mode' toggle: different audience targeting, different creative rotation, different response SLAs.

What changed

Saturday close-rate up from ~12% to ~28%. Customer service team stopped dreading weekends. The inbox started signaling the spike instead of suffering it.

"Saturday hamesha chaos hota tha — orders aate, replies miss hote, half customers ko Monday tak jawab nahi milta tha. Ab system khud control karta hai pacing — agar team behind chal rahi hai, ads slow ho jaate hain. Aisi automation maine pehle kabhi nahi dekhi."

— Founder / Retail / Modest-fashion D2C

— Talk to us

If your situation rhymes with any of these, start here.

None of these were the engagement we expected on day one. Each one became one. If something on this page felt familiar — your operation, your bottleneck, the shape of the problem — the next conversation is short. Aap apna scene bata dein, hum apna playbook bata denge.

Start the conversation→Or WhatsApp us

Identities anonymized. Engagement specifics adjusted for client privacy. The patterns are what travel.