Achieve Business Goals with Smart, Automated Filters
Pick a goal → Apply the recommended filters → Let product sets auto-optimize daily.
Recommendations for Best Performance
Dynamic Product Sets are powerful because they automatically respond to changing data.
But to ensure Meta & Google maintain stable learning and deliver consistent performance, keep these rules in mind:
⏱️ Update Frequency
Platform | Recommended Update Frequency | Why |
Meta & Google | Update bi-weekly or every 7+ days minimum | Frequent product changes may disrupt algorithm learning and reduce delivery stability |
Product Count Recommendations
Platform | Minimum Recommended Count | Best Practice | When to Go Lower |
Meta | Target at least 20% of your total catalog in a set | More products = better machine learning | Only if the business goal demands extreme precision (e.g., high-margin upsell, clearance) |
Aim for 100+ products per product group | Avoid fragmentation; helps reach search demand | Niche category or seasonal SKU experiments |
Experimentation Details
With BigAtom Product Sets & Product Groups, you can experiment with automated product segmentation that ensures your ad spend always aligns with real business outcomes — not guesswork.
Each of the experiments below is built using Meta/Google Ads performance, website analytics, and backend commercial metrics like margin, stock, and sale run rate.
Goal: Grow Revenue
Product Set Experiment | Example Smart Filter Conditions | What It Solves |
📌 Scale Best Performers | • Purchases ≥ 10 (last 14 days) • Conversion Rate ≥ 2.5% • Inventory Qty ≥ 25 | Pushes revenue drivers to more buyers |
📌 Boost High-Intent Products | • Page Views (Top 20%) • ATC Rate ≥ 6% • Inventory Qty ≥ 15 | Converts users with clear buying signals |
📌 Promote Trending Products | • Impressions ↑ (Week-on-Week) • CTR ≥ Account Avg • Sale Run Rate trending ↑ | Wins the trend before competition |
Goal: Improve Profit Contribution
Product Set Experiment | Example Smart Filter Conditions | What It Solves |
💎 High-Margin First | • Net Profit Margin ≥ 25% • ROAS ≥ 2.0 • Inventory Qty ≥ 20 | Scales products that contribute more profit |
🛑 Discount Efficiency | • Discount % ≤ 10% • Purchases ≥ 5 • Revenue ≥ ₹50,000 | Avoids margin loss |
📈 Profit-Improving Performance | • ROAS ↑ (trend > 2 weeks) • Cost Per Purchase ↓ vs last 14 days | Keeps spend only on improving efficiency |
Goal: Improve Sell-Through & Inventory Efficiency
Product Set Experiment | Example Smart Filter Conditions | What It Solves |
🧹 Clear Slow Movers | • Inventory Qty ≥ 100 • No Purchases in last 14 days | Frees up blocked cash |
⏳ Aging Stock Liquidation | • Inventory Age ≥ 90 days • Sale Run Rate in bottom 30% | Prevents write-offs |
🔍 High-Interest, Low-Conversion | • Page Views ≥ 200 • ATC Rate < 2% | Fixes funnel drop-offs |
Goal: Drive New Product Adoption
Product Set Experiment | Example Smart Filter Conditions | What It Solves |
🚀 New Arrival Assist | • Product Added < 30 days • Page Views ≥ 75 • Inventory Qty ≥ 20 | Ensures launches don’t fail silently |
🌟 Early-Performer Upscale | • New < 60 days • Purchases ≥ 5 • Spend ≤ ₹5,000 | Scales products showing early promise |
Goal: Protect Shopper Experience & Brand Trust
Product Set Experiment | Example Smart Filter Conditions | What It Solves |
🟢 In-Stock First | • Variant Availability ≥ 60% • Inventory Qty ≥ 10 | Avoids disappointing users |
⭐ Quality-Driven Selection | • Return Rate < 5% • CTR ≥ 1.5% | Protects brand perception from bad products |
❌ Bad-Experience Exclusions | • High Refund Rate ≥ 15% • Conversion Rate < 1% | Removes negative-impact SKUs |
Goal: Grow Priority Categories & Seasonal Sales
Product Set Experiment | Example Smart Filter Conditions | What It Solves |
🎯 Category Focus | • Category = “Winterwear” • Margin ≥ 20% • Inventory Qty ≥ 50 | Pushes strategic business areas |
🎉 Seasonal Momentum | • Seasonal Tag = Active • Sale Run Rate ↑ (last 10 days) | Captures short-lived opportunities |
Goal: Increase AOV & Upsell
Product Set Experiment | Example Smart Filter Conditions | What It Solves |
💰 Premium Value Pusher | • Product Price ≥ Site Avg + 20% • Purchases ≥ 1 | Improves revenue per order |
🔼 Upsell Better Variants | • Higher MRP than base SKU • Good CTR (> avg) • Inventory ≥ 15 | Moves shoppers to higher-margin units |