E-commerce ads & growth Creators on LinkedIn: 99 Indexed

This is the pool of E-commerce ads & growth creators on LinkedIn within E-commerce / DTC — 99 of them. The narrower the niche, the higher the reply rate; searching broadly for "E-commerce / DTC creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• A and B grades are 53% of this slice versus 37% overall — a denser pool, so the same screening effort yields more usable names.
• 0% publish an email or IM handle against 6% index-wide — more dependent on platform DMs, so outreach costs more here.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• BEST DIGITAL MARKETING12 (@best digital marketing12) — Paid advertising expansion

• Bigabid (@bigabid)

• Billo (@billo) — UGC ad data analysis

• Blue Wheel (@blue wheel) — Paid social performance optimization

• Haider Ijaz (@haider ijaz) — Ad spend scaling

• Md Abu Bakar (@md abu bakar) — Ad scaling without performance loss

• Peak Outsourcing (@peak outsourcing) — Building e-commerce support operations

• SM Abdullah All Mehbub Sadik (@sm abdullah all mehbub sadik) — ROAS vs MER differences

• Strique (@strique) — Identifying ad fatigue

• Thrive Digital (@thrive digital) — Handling ad fatigue

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Top 6 countries

Why this niche deserves its own view

"E-commerce ads & growth" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.