Ecommerce Growth System Case Study in Pakistan

The Client: Pakistani Fashion Ecommerce Brand

A mid-sized fashion ecommerce brand based in Lahore selling women’s ethnic wear through their Shopify store. Monthly revenue averaged PKR 12M with 85% coming from paid channels — primarily Google Shopping and Meta Ads. Despite strong top-line numbers, profitability was thin because acquisition costs kept climbing while customer lifetime value stayed flat.

The brand had a loyal customer base but no system to nurture repeat purchases. Email was limited to order confirmations. Organic search traffic had been declining for six consecutive months. And their Google Ads account hadn’t been restructured in over a year, leading to audience overlap, wasted spend on broad match terms, and no clear view of which campaigns actually drove profitable sales.

The Problem: Rising Costs, Declining Efficiency

When the client approached WeProms Digital, three issues dominated every growth conversation:

1. Paid acquisition costs were unsustainable. Cost per acquisition (CPA) had risen from PKR 1,200 to PKR 1,800 over two quarters. Google Ads ROAS fluctuated wildly between 1.9x and 3.2x depending on the week, making budget planning impossible. The account had 47 active campaigns with significant audience overlap — the same user could trigger ads from three different campaigns in a single session.

2. Repeat purchase rate was stuck at 18%. For a brand with strong product-market fit and high customer satisfaction scores, 18% repeat rate was leaving significant revenue on the table. The industry benchmark for Pakistani fashion ecommerce was 25–30%. The gap represented roughly PKR 4.2M in unrealized monthly revenue.

3. No unified measurement. Google Ads, Meta Ads, Google Analytics, and Shopify analytics told different stories. Attribution was broken. The team couldn’t tell which touchpoints drove conversions versus which just consumed budget.

Phase 1: Audit and Attribution Setup (Weeks 1–3)

The first three weeks focused on establishing a clean measurement foundation. Without accurate data, every optimization decision would be guesswork.

Server-side tracking implementation. We deployed server-side Google Tag Manager alongside the existing client-side setup. This eliminated data loss from ad blockers and browser privacy restrictions — which affected roughly 23% of their Pakistani traffic. Conversion tracking accuracy improved from 71% to 96% within two weeks.

Attribution model migration. The account was using last-click attribution, which over-credited branded search and under-credited upper-funnel campaigns. We migrated to a data-driven attribution model in Google Ads and set up cross-channel attribution through Google Analytics 4 with custom conversion paths.

Audit findings that shaped the strategy:

• 34% of Google Ads budget was spent on overlapping audiences
• Branded search campaigns were cannibalizing organic traffic (18% of branded click spend went to users who would have converted organically)
• Meta Ads pixel was firing duplicate events on 12% of conversions
• Mobile checkout drop-off rate was 67% versus 41% on desktop

Phase 2: Paid Media Restructuring (Weeks 4–8)

With clean data flowing, we restructured the Google Ads account from 47 overlapping campaigns into 12 focused campaigns organized by intent stage and product category.

Campaign architecture overhaul. We consolidated campaigns into three tiers:

• Tier 1 — High-intent: Google Shopping with optimized product feeds, dynamic remarketing, and branded search (with bid adjustments to avoid organic cannibalization)
• Tier 2 — Mid-funnel: Non-brand search targeting category keywords with dedicated landing pages for each product line
• Tier 3 — Discovery: Performance Max campaigns for new customer acquisition, with audience signals refined using first-party purchase data

Meta Ads restructuring. We replaced 15 broad-targeting campaigns with 4 structured campaigns: prospecting (lookalike audiences from high-LTV customers), retargeting (site visitors by engagement depth), dynamic product ads (abandoned carts and browse abandonment), and customer retention (past purchasers with cross-sell recommendations).

Results by week 8:

• ROAS stabilized at 3.8x (up from 2.8x average)
• CPA dropped to PKR 1,340 (down from PKR 1,800)
• Audience overlap reduced from 34% to under 5%
• Budget reallocation freed PKR 890K/month from waste

Phase 3: SEO Foundation and Content Architecture (Weeks 6–12)

While paid media drove immediate results, organic traffic decline needed addressing to build sustainable growth. The SEO work ran in parallel with the paid restructuring.

Technical SEO fixes:

• Resolved 847 crawl errors and 234 orphaned pages from a messy Shopify theme migration
• Implemented proper hreflang tags for the multilingual product catalog
• Fixed product schema markup errors affecting 62% of product pages
• Optimized Core Web Vitals — LCP improved from 4.2s to 1.8s, CLS from 0.34 to 0.05

Content architecture:

• Built category-level landing pages targeting commercial-intent keywords
• Created a product review and comparison content hub targeting informational queries
• Implemented internal linking structure connecting blog content to product categories

SEO results at 6 months: Qualified organic sessions increased 47%. Non-branded organic traffic grew 62% as the category pages and content hub gained rankings.

Phase 4: Lifecycle Email System Build (Weeks 8–16)

The biggest revenue lever was converting one-time buyers into repeat customers. We built a complete lifecycle email system on Klaviyo, integrated with their Shopify store and customer segmentation data.

Flows deployed:

• Welcome series (5 emails): Brand story, bestseller showcase, social proof, first-purchase incentive
• Post-purchase series (4 emails): Order confirmation, shipping updates, product care guide, review request
• Win-back series (3 emails): 30-day re-engagement, 60-day offer, 90-day final incentive
• Cart abandonment (3 emails): Reminder, social proof, time-limited discount
• Cross-sell series (2 emails): Complementary product recommendations based on purchase history

Lifecycle email results at 4 months:

• Welcome series conversion rate: 8.3%
• Cart abandonment recovery rate: 11.2%
• Win-back flow generated PKR 1.4M in recovered revenue
• Total email revenue share: 12% of monthly revenue

Phase 5: Cross-Channel Optimization Loop (Ongoing)

With all systems operational, the focus shifted to a continuous optimization rhythm. We established weekly reporting cadence with three key meetings:

• Monday performance review: Channel-level ROAS, CPA trends, budget allocation decisions
• Wednesday creative review: Ad performance by creative variant, landing page test results, email engagement metrics
• Friday strategy session: Month-over-month trends, upcoming promotions, lifecycle flow performance

The optimization loop connected insights across channels. For example, search query reports from Google Ads informed SEO content priorities. Email engagement data refined Meta Ads audience targeting. Product performance insights from Shopify shaped ad creative direction.

Final Results at 6 Months

Metric	Before	After	Change
Blended ROAS	2.8x	4.6x	+64%
Repeat purchase rate	18%	34%	+89%
Monthly revenue	PKR 12M	PKR 18.4M	+53%
Customer acquisition cost	PKR 1,800	PKR 1,296	-28%
Organic traffic (qualified)	Baseline	+47%	—
Email revenue share	0%	12%	New channel
Conversion tracking accuracy	71%	96%	+25pts

What Made This Work

Three factors drove the results:

1. Measurement first. Every optimization decision was grounded in accurate data. Server-side tracking and proper attribution meant we knew exactly where revenue was coming from — and where it was leaking.

2. Systematic sequencing. We didn’t try to fix everything at once. Attribution first, then paid media, then SEO, then email — each phase building on the foundation of the previous one. Rushing lifecycle email before fixing attribution would have meant optimizing flows based on incomplete data.

3. Cross-channel integration. The biggest gains came not from optimizing individual channels in isolation, but from connecting insights across channels. The weekly optimization loop ensured that learnings from paid media informed SEO priorities, and email data shaped audience targeting.

What Teams Can Apply

For Pakistani ecommerce brands facing similar challenges — rising acquisition costs, flat retention, unclear attribution — this case provides a replicable framework:

1. Start with measurement. If you can’t trust your data, you can’t optimize your spend.
2. Restructure before scaling. More budget on a broken campaign structure just means more waste.
3. Build retention systems alongside acquisition. Every new customer is 3–5x cheaper to retain than to replace.
4. Connect your channels. The most valuable insights live at the intersection of paid, organic, and email data.

WeProms Digital has applied this same framework across Pakistani ecommerce brands in fashion, electronics, beauty, and home goods. The specific tactics change with each vertical — but the system architecture stays consistent.