Meta Ads 6 · Verified Playbook

Why We Run 100% Broad Targeting for 8-Figure E-Commerce Accounts

How machine-learning audience expansion outperforms manual interest stacks and lookalikes every single time when paired with targeted creative hooks.

Hussain Raniwala

Hussain Raniwala

Founder & CEO, Digital Berries · Performance & SEO Architect

How machine-learning audience expansion outperforms manual interest stacks and lookalikes every single time when paired with targeted creative hooks.\n\n### Core Implementation Guidelines\n- Set clean attribution windows (7-day click, 1-day view).\n- Consolidate ad sets to exit the learning phase within 72 hours.\n- Measure Contribution Margin Dollars weekly to guarantee net cash profitability.

Hussain Raniwala

Written by Hussain Raniwala

Hussain is the Founder and CEO of Digital Berries, a full-stack growth agency managing ₹100Cr+ in client revenue across India, UAE, and the UK. He advises high-growth D2C founders, OTT film producers, and enterprise executives on performance marketing, programmatic SEO, and creative strategy.

Need Hands-On Execution for Your Brand?

Digital Berries implements these frameworks directly for clients with performance guarantees.