Overview
Industry: E-commerce
Project Timeline: Ongoing
Challenges: Sales stagnation, low conversion rates, and inefficient ad spend.
Goals: Increase total sales, improve conversion rates, and maximize ROAS (Return on Ad Spend).
Results
Total Sales: SAR 584,636.28
Total Orders: 1,297 orders
Conversion Rate: +1.7%
The Challenge: Breaking the Sales Plateau
By early 2024, the online store was facing significant stagnation in sales and engagement, with low conversion rates (1.2%) and a high cost per acquisition. The client struggled with:
- Low traffic quality despite stable online sessions.
- High cart abandonment rates and weak conversion funnel.
- Ineffective paid ads with inconsistent CTR and high CPC.
A deep analysis of performance metrics revealed that although traffic was increasing, the majority of users were not converting into actual buyers.
The Strategy: Data-Driven Optimization & Performance Marketing
Advanced Paid Advertising Optimization
We refined ad targeting to prioritize high-intent users, using lookalike audiences, retargeting campaigns, and interest-based segmentation.
Increased budget allocation to high-performing ads and discontinued underperforming ones.
A/B testing of ad creatives, focusing on engaging visuals and compelling CTAs.
Results:
- ROAS increased to 9.82, maximizing returns on ad spend.
- Cost per purchase dropped from $21.64 to as low as $7.27 in key campaigns.
- CTR improvement to 1.76%, enhancing engagement with optimized ad copy.
Conversion Rate Optimization (CRO) & Website Enhancements
Improved UI/UX to enhance the buyer journey, reducing friction at checkout.
Reduced form fields and added multiple payment options to minimize cart abandonment.
Integrated social proof (customer reviews, security badges) to boost credibility.
Results:
- Conversion rate increased from 1.2% to 1.7% (+27% improvement).
- Order completion rates increased by 18%.
- Total orders grew to 1,297, reflecting higher purchase intent.
Tactical Discounts & Strategic Promotions
Special discounts available for a short time to create urgency and drive FOMO-based purchases.
Encouraging customers to buy more by combining products together to increase AOV (Average Order Value).
When a visitor attempts to leave, a discount pop-up appears to encourage completing the purchase.
Results:
- 73,522 online store sessions, with a 41.7% surge in March 2024 due to retargeting efforts.
- Highest single-month sales: 9,621 transactions.
- Repeat purchases increased by 22%, strengthening customer loyalty.
Key Metrics & Performance Breakdown
| Metric | Before Optimization | After Optimization | Growth % |
|---|---|---|---|
| Total Sales | SAR 230,000 | SAR 584,636.28 | +154% |
| Conversion Rate | 1.2% | 1.7% | +27% |
| Total Orders | 570 | 1,297 | +128% |
| Online Store Sessions | 51,900 | 73,522 | +41.7% |
| ROAS (Return on Ad Spend) | 5.4 | 9.82 | +81% |
| Cost per Purchase | $21.64 | $7.27 | -66% |
| Click-Through Rate (CTR) | 1.2% | 1.76% | +46% |
Conclusion: A Scalable E-commerce Growth Model
This case study highlights the power of data-driven digital marketing and CRO strategies in turning around e-commerce performance:
- Precision targeting & retargeting fueled revenue growth.
- Optimized ad spend increased profitability & reduced acquisition costs.
- Website enhancements & checkout improvements lifted conversions.
Key Takeaway: This growth model is repeatable for any e-commerce brand by aligning ad strategies, leveraging tactical offers, and enhancing conversion paths in real-time.
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