Selection Hunt — E-commerce Sales with Meta Ads
Facebook and Instagram Ads management for a Bangladesh-based online store selling gadgets, gifts, fashion and lifestyle products, focused on website purchases, retargeting and purchase-cost optimisation.
Managing purchase-focused Meta campaigns across a broad product catalogue
The objective was to use Facebook and Instagram Ads to generate website purchases for Selection Hunt while comparing campaign efficiency across different products, audiences and retargeting opportunities.
Selection Hunt is a Bangladesh-based e-commerce store offering gadgets, gift items, fashion and lifestyle products. My work focused on Meta Ads campaign management for website purchases, with campaign decisions guided by purchase volume, cost per purchase and account-level performance.
Because the store carries multiple product categories, performance can vary significantly between campaigns. This makes it important to compare sales campaigns individually while also looking at the account view as a whole.
The supplied Ads Manager screenshot shows a mix of active, paused and retargeting campaigns, giving a useful picture of how different campaign periods contributed to purchase volume, spend, reach and impressions.
What the account needed
- Purchase-focused campaign management across multiple product categories.
- Clear comparison of cost per purchase between campaigns.
- Retargeting to re-engage people who had already interacted with the store.
- Budget decisions based on real website-purchase performance.
- A repeatable optimisation process for changing products and offers.
How I managed the Selection Hunt campaigns
The campaign work focused on product demand, audience testing, retargeting, purchase-cost analysis and ongoing optimisation.
Product-Led Campaign Structure
Campaigns were organised around product opportunities, sales intent and practical budget levels.
Prospecting & Retargeting
New-customer targeting was supported by retargeting campaigns designed to re-engage warmer audiences.
Cost-per-Purchase Review
Purchases, spend and cost per result were compared across campaigns to identify stronger sales performance.
Performance-Led Budget Decisions
Budget and campaign decisions were guided by real purchase data instead of clicks or engagement alone.
50 website purchases across the visible campaign view
The figures below come directly from the Selection Hunt Ads Manager screenshot supplied for this case study and reflect the eight campaigns visible in that account view.
Snapshot from the Selection Hunt Ads Manager campaign view showing eight campaigns. Results vary by product, audience, campaign period and budget, so these figures are presented as account-view evidence rather than a guarantee of future performance.
Campaign Strategy & Real Account Performance
The branded campaign visual provides project context, while the Ads Manager screenshot shows the real purchase-focused performance used in this case study.
Campaign Overview
A visual overview of the Selection Hunt Meta Ads project, focused on e-commerce sales, product promotion, audience targeting and retargeting.
Campaign Performance
Real Ads Manager data showing 50 website purchases at an average cost per purchase of $2.65 across the eight campaigns visible in the account view.
What I managed
The project covered the core Meta Ads work required to run and optimise purchase-focused campaigns for a multi-category online store.
Campaign Strategy
Purchase-focused planning, campaign structure and product-led sales decisions.
Audience Strategy
Prospecting and retargeting audiences built around product relevance and purchase intent.
Creative Direction
Matching products, offers and campaign messaging to different e-commerce opportunities.
Performance Analysis
Comparing purchases, cost per result, spend, reach and impressions across campaigns.
Purchase Measurement
Using website purchase results in Ads Manager as the primary optimisation signal.
Ongoing Optimisation
Adjusting campaign and budget decisions as product response and acquisition costs changed.
What this Selection Hunt project demonstrates
The account shows how purchase data and campaign-level comparisons can support better paid-social decisions for a multi-category e-commerce store.
- Website purchases are a stronger decision signal than traffic or engagement alone for sales campaigns.
- Cost per purchase can vary considerably between product campaigns, so account-wide averages need context.
- Retargeting can complement prospecting by re-engaging warmer audiences.
- Budget decisions are more useful when purchase volume, spend and acquisition cost are reviewed together.
- Multi-category stores benefit from campaign-level comparisons because different products can perform very differently.
- Ongoing optimisation helps identify which campaigns deserve more budget and which need adjustment.
Want a similar approach for your e-commerce business?
If you need help with Facebook and Instagram Ads, purchase-focused campaign management, retargeting or performance optimisation, I can review your current setup and discuss practical next steps.