Actowiz Solutions enabled real-time tracking of dynamic bundle pricing on Amazon and Target, helping U.S. brands monitor hidden promotions and maximize value.
Product bundles—such as “Buy 2, Save 10%” or “Combo Packs”—are powerful pricing strategies used by platforms like Amazon and Target. However, these bundles often update dynamically, vary by location, and remain difficult to monitor consistently.
A U.S.-based CPG brand partnered with Actowiz Solutions to track bundle pricing structures in real-time, benchmark combo savings, and compare individual vs grouped pricing strategies.
| Platform | SKU Bundle | ZIP | Bundle Price | Individual Price | Discount % | Offer Type |
|---|---|---|---|---|---|---|
| Amazon | 3x Oreo 15oz | 10001 | $11.25 | $13.47 | 16.5% | Multi-Pack |
| Target | Tide + Downy Bundle | 60601 | $19.99 | $22.48 | 11.1% | Target Circle Deal |
| Amazon | 2x Charmin 6-roll | 90210 | $16.49 | $18.98 | 13.1% | Auto-Applied Bundle |
“Before Actowiz, we had no visibility into how Amazon and Target bundled our SKUs. Now we track every promotion and respond instantly.”
— Director of Digital Commerce, National Brand
Bundled promotions are essential but hidden growth levers in modern retail. Actowiz Solutions empowered this client with real-time bundle visibility, data-driven price optimization, and a strategic edge across two of the largest platforms in the U.S. market.
Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
Watch how businesses like yours are using Actowiz data to drive growth.
From Zomato to Expedia — see why global leaders trust us with their data.
Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.
We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.
How AI teams source web data for LLM training, fine-tuning and RAG pipelines why fresh human-made data matters, what LLM-ready delivery looks like, and how to source curated domain datasets responsibly.
We analyzed 200,000+ property listings across MagicBricks, 99acres & Housing.com price gaps, duplicate rates, listing freshness & city coverage compared.
KSA quick commerce mapped from public data — Nana, Rabbit, Jahez & HungerStation coverage zones, pricing & assortment across Saudi cities.
Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.