B2B PPC Case Study in Pakistan

The Client: A Sialkot Surgical-Instrument Manufacturer-Exporter

A Sialkot-based manufacturer and exporter of surgical, dental, and beauty-care instruments, with annual turnover around PKR 1.1B and exports to distributor partners in 18 countries across the Gulf, East Africa, the EU, and Central Asia. Sialkot is the global centre of surgical-instrument manufacturing — a large share of the world’s hand-held surgical instruments passes through the city — and this client sat in the mid-premium tier: better finish and steel grade than the bottom-tier commodity exporters, but without the brand premium of the German and Japanese marques.

Their sales motion was B2B and relationship-driven. Revenue came from three buyer types: international distributors who stocked their own catalogues, hospital-group procurement teams issuing tenders, and Pakistani private-hospital and clinic buyers ordering direct. The average first order from a new distributor sat between PKR 1.8M and PKR 4.2M; tender and OEM contracts ran much larger. Sales cycles ranged from four weeks for a domestic clinic re-order to nine months for a new EU distributor evaluation. The sales team — six field and inside-sales reps — was the bottleneck, not demand.

The client approached WeProms Digital with a deceptively simple problem. They were spending PKR 1.4M a month on Google Ads and getting plenty of form submissions — but the sales team was drowning in junk. Roughly seven in ten “leads” were students doing research, job seekers, single-unit retail buyers in markets the company did not serve, or competitors price-shopping. The genuinely qualified procurement enquiries — the ones that turned into samples, quotes, and orders — were buried, and they were expensive. The sales director had lost confidence in paid search and was preparing to cut the budget. The engagement was scoped as a PPC management services rebuild anchored on qualified enquiries rather than raw submissions.

This page walks through the account diagnosis, the rebuild across search and audience campaigns, the lead-qualification system that separated buyers from noise, and the outcomes across two quarters.

The Problem: Plenty of Leads, Few Worth Calling

Five issues were burning the PPC budget:

• Broad-match keyword chaos. The account ran 1,400+ keywords, the majority on broad match, chasing head terms like “surgical instruments” and “medical equipment.” These matched to research queries, student searches (“surgical instruments types pdf”), and irrelevant geographies. Roughly 47% of spend went to search terms with no purchase intent.
• Display network waste. Auto-enabled display placements on a Search campaign were burning around PKR 180,000 a month on apps and low-quality publisher sites with zero conversion history. No exclusion lists existed.
• No lead qualification in the form. The contact form captured name, email, and a free-text message. There was no way to separate a Gulf distributor needing 2,000 forceps from a student asking a homework question — both looked identical to the CRM.
• Conversion tracking counted submissions, not qualified buyers. Google Ads optimised toward form-fill volume, which meant it found more of whatever was easiest to convert — which was junk, not procurement managers.
• No geographic or audience layering. The account targeted “everywhere” — including countries where the client had no distribution rights, no CE-marking compliance, or no shipping route. Clicks from those geographies were pure waste.

The net effect: at PKR 1.4M a month, the cost per qualified enquiry — a procurement contact the sales team would actually pursue — sat around PKR 8,400, and the sales team was spending more time triaging noise than closing real buyers.

Phase 1 — Account Diagnosis and Waste Cleanup (Weeks 1–3)

The first three weeks were about stopping the bleeding. No new campaigns launched until the waste was contained.

Search-term and waste audit. We pulled 90 days of search-term reports and categorised every click by intent. The breakdown was sobering:

Search-term intent	Share of spend	Share of qualified enquiries
Buyer-intent (spec, OEM, distributor, bulk, quote)	31%	88%
Research / informational	38%	4%
Retail / single-unit / wrong market	19%	6%
Brand / navigational (own + competitor)	12%	2%

Roughly 69% of spend was producing 12% of qualified enquiries. The opportunity was obvious: shift the budget toward buyer-intent terms and cut the rest.

Negative keyword build-out. We built a 640-term negative keyword list across three tiers: intent negatives (free, pdf, used, second hand, how to, images, types, salary, jobs), geography negatives (countries and regions where the client could not sell), and product negatives (single-unit retail product names and consumer beauty items they no longer wanted to chase). This alone cut wasted spend by roughly PKR 380,000 a month.

Match-type and campaign restructuring. We migrated the account from broad-match head terms to a tight phrase- and exact-match structure organised by buyer type and product category — surgical instruments, dental, beauty-care, and lab equipment — each with distinct ad groups, distinct ad copy, and distinct landing pages. Broad match was reserved for a small, tightly-monitored expansion bucket.

Display and placement cleanup. We killed auto-display placements on Search campaigns, disabled the partner-search network (a recurring source of low-quality clicks in B2B accounts), and built a placement exclusion list. Display was reintroduced later — but only as a deliberate, managed retargeting layer, never as an accidental budget drain.

Conversion tracking rebuild. We replaced the single “form submitted” conversion with a value-based conversion model tied to lead quality (detailed in Phase 3), and stood up GA4 with enhanced measurement plus server-side tagging for the lead form, so cross-device B2B journeys — a procurement manager researching on mobile and requesting a quote on desktop — were stitched correctly.

Phase 2 — Search and Audience Rebuild (Weeks 3–8)

With the account cleaned, we rebuilt the active campaigns around how industrial buyers actually search.

Buyer-intent keyword architecture. B2B industrial buyers search differently than retail buyers — they search by specification, by use-case, and in procurement language. We built keyword clusters around the signals of a real buyer:

• Specification terms — “surgical forceps manufacturer,” “tungsten carbide scissors OEM,” “stainless steel 410 surgical instruments supplier”
• Procurement and trade terms — “surgical instruments bulk,” “medical instruments distributor,” “hospital supply tender,” “surgical instruments FOB Karachi”
• OEM and private-label terms — “surgical instruments private label,” “OEM surgical instrument manufacturing,” “custom surgical instruments manufacturer”

Each cluster mapped to a dedicated ad group with ad copy that spoke the buyer’s language — minimum order quantities, certifications (CE, ISO 13485), steel grades, lead times, and FOB terms — not consumer copy.

Geo-targeting rebuild. We layered geography deliberately: tier-one countries (Gulf, East Africa, Central Asia) where the client had compliance and shipping routes; tier-two (EU, UK) for selective distributor recruitment; and Pakistan domestic for hospital and clinic buyers. Countries with no distribution path were excluded entirely. Geo bid adjustments pushed delivery toward the Gulf and domestic hospital markets where conversion rates were highest.

Audience layering. We added detailed demographics and in-market audiences — “Business Services,” “Industrial / Manufacturing,” and custom intent audiences built from the client’s highest-converting search terms. A separate remarketing layer raised bids for previous site visitors, capturing B2B buyers on their second or third research visit — the point at which industrial procurement typically converts. This keyword-plus-audience architecture is the same foundation WeProms applies in broader B2B lead generation programmes, where intent and account fit are layered together.

Landing-page alignment. The previous setup sent all traffic to the homepage. We built dedicated landing pages per buyer type: a distributor recruitment page (certifications, MOQs, exclusivity terms, shipping), a hospital and tender page (product specs, compliance docs, GMP credentials), and an OEM and private-label page (manufacturing capability, capacity, lead times). Each page carried a form tuned to its buyer.

Phase 3 — Lead Qualification System Build (Weeks 5–10)

The defining problem was not traffic volume — it was lead quality. Phase 3 built the system that separated buyers from noise and let paid search optimise against real opportunities.

Progressive, qualification-first lead forms. The old single-step form was rebuilt as a short, structured intake that asked the questions the sales team needed answered to prioritise:

Field	Purpose
Company name	Real-buyer filter; auto-enriched against a business database
Buyer type (Distributor / Hospital / OEM / Other)	Routes to the right sales rep and nurture path
Product category + specification	Qualifies technical fit
Estimated annual volume	Separates bulk buyers from single-unit retail
Target market / destination	Filters non-serviceable geographies
Timeframe	Flags urgency for sales prioritisation

Total fields: six, structured, no free-text essays. Friction increased slightly for casual submissions — which was the point — and dropped sharply for real procurement contacts, who expected to provide this information anyway.

Automated lead scoring and routing. Each submission was scored in real time against a model weighing buyer type, company match, volume, and fit. Enquiries scoring above the threshold were tagged “qualified” and routed instantly to the matching rep with a Slack and CRM alert; below-threshold submissions dropped into a light nurture sequence rather than consuming sales time. We imported the “qualified enquiry” conversion back into Google Ads via offline conversion tracking, mirroring the Phase 1 tracking build, so bidding optimised toward the leads the sales team actually wanted — not raw form volume.

Junk suppression. A combination of free-mail-domain filtering (the client’s real buyers used corporate domains, not gmail or yahoo), geo-validation against the form’s destination field, and a captcha cut form spam and out-of-market submissions by an estimated 61% without touching legitimate enquiry volume.

Sales-team feedback loop. Every two weeks, the sales director flagged leads as sales-accepted or rejected with a reason code. That closed-loop data fed back into the scoring model and the bidding signals — the system got smarter about what a qualified enquiry looked like for this business, in this market, every cycle.

Phase 4 — Optimisation, ABM Layer, and Scale (Weeks 8–24)

The second quarter focused on compounding the gains and scaling what worked.

Bid strategy on real value. With qualified-enquiry conversions flowing and lead scores maturing, we moved from target-CPA to a max-conversion-value strategy using offline “sales-accepted lead” and “deal-opened” conversions. Bidding now rewarded the keywords and audiences that produced pursued opportunities, not just form submissions.

Account-based layer for key distributor recruitment. For the highest-value targets — named distributor prospects in the Gulf and East Africa — we layered an account-based component: custom intent audiences built around those prospects’ digital footprints, combined with tailored copy and a dedicated landing page. This produced a small number of high-value enquiries, one of which converted into a PKR 14M annual distributor contract during the period.

Creative and copy testing. Ad copy testing produced clear winners: copy leading with certifications and compliance outperformed copy leading with price by 2.1x on qualified-enquiry rate in EU and Gulf markets, where compliance is the gating concern; copy leading with lead time and FOB terms outperformed in Central Asian markets, where logistics dominates the decision. We served the right message to the right geography.

Expansion of what worked. Buyer-intent keyword clusters that proved efficient were expanded methodically — adjacent product categories, adjacent specifications — with weekly search-term reviews keeping quality high. The expansion bucket added qualified enquiries without diluting cost per qualified lead. The overall pattern — diagnose, restructure, qualify, scale — is the same sequence WeProms follows across digital marketing for manufacturing companies, where export-grade lead quality is the only metric that justifies sustained paid spend.

Final Results at Two Quarters (6 Months)

Metric	Before	After (6 months)	Change
Cost per qualified enquiry	PKR 8,400	PKR 4,870	-42%
Qualified enquiry volume (monthly)	167	262	+57%
MQL rate (form → qualified)	31%	48%	+55% relative
Sales-accepted leads (monthly)	96	133	+39%
Wasted spend share	~47%	~12%	-35 pts
Click-through rate (buyer-intent terms)	2.1%	4.8%	+128%
Cost per sales-accepted lead	PKR 14,600	PKR 9,580	-34%

The headline 42% reduction in cost per qualified enquiry was achieved while qualified-enquiry volume grew 57% — efficiency and scale moved together, which is the only meaningful test of a B2B PPC rebuild. Over the two quarters, the channel generated 11 distributor evaluation conversations and contributed to three new distributor contracts; one of those — the Gulf distributor recruited through the account-based layer — alone covered the year’s total PPC spend several times over.

What Made This Work

1. The problem was quality, not volume. Cutting the budget would have cut noise and buyers proportionally. The win came from re-engineering the system to filter at the form, score at the CRM, and optimise bidding against qualified enquiries — so more budget produced more of the right leads, not more of everything.
2. Negative keywords and geo-targeting did half the work. Roughly PKR 380,000 a month of pure waste was eliminated before any clever optimisation. In B2B industrial accounts, the search-term report is where the easiest money is found.
3. Buyer-intent language beat category keywords. Head terms like “surgical instruments” produced noise; procurement-language terms (“OEM,” “FOB,” “distributor,” “tender,” “bulk”) produced buyers. The account was rebuilt around how the actual buyers searched.
4. Form design is a conversion-quality lever. A short, structured, qualification-first form increased friction for junk and decreased it for real buyers — and let the scoring model do its job. Free-text contact forms are a liability in B2B.
5. Offline conversion import aligned the bidding system with sales reality. Until Google Ads could “see” which submissions the sales team accepted, it optimised for volume. Importing qualified and sales-accepted conversions back into the account was the change that let every other optimisation compound.

What Teams Can Apply

For Pakistani B2B manufacturers and exporters — surgical instruments in Sialkot, textiles in Faisalabad, sports goods, leather, auto parts, food processing — the playbook transfers directly:

1. Audit your search-term report by intent before touching anything else. Categorise 90 days of search terms into buyer-intent, research, retail, and brand. If more than half your spend sits outside buyer-intent, that is your roadmap for the first three weeks.
2. Build the negative keyword and geo-exclusion lists your category needs. Pakistani exporters commonly waste spend on geographies they cannot service and on retail, student, and research queries. Tier these systematically.
3. Rebuild your lead form around qualification, not contact. Six structured fields — company, buyer type, category, volume, market, timeframe — will transform lead quality more than any bid tweak.
4. Score leads and import the qualified ones back into Google Ads. Offline conversion tracking is what turns paid search from a volume engine into a qualified-enquiry engine. It is the single highest-leverage technical change for B2B.
5. Layer an account-based component for your top targets. A small, focused effort against named distributor and procurement prospects will produce a handful of enquiries that dwarf the rest of the channel in value.

WeProms Digital has applied this B2B PPC framework across Pakistani manufacturers and exporters in Sialkot, Faisalabad, Lahore, and Karachi — from surgical-instrument and textile exporters to industrial-equipment and packaging manufacturers. The keyword architecture, qualification form, scoring model, and offline conversion setup adapt to each vertical; the principle is constant: filter for the buyer, measure the qualified enquiry, optimise against what sales will actually pursue.