E-Commerce Investors

Find E-Commerce investors actively deploying capital. VC Sift gives you direct access to email addresses and LinkedIn profiles for E-Commerce-focused venture capitalists, angels, and institutional investors at every stage.

8,110 investors
AW

Amy Wong

Bregal Investments

Angel Investor
Growth PE Growth/Expansion Big Data Digital Health Internet Of Things Iot +7 more
FW

Federico Wengi

Paua Ventures

VC Firm
Seed Early Stage Investment Management Ad Tech Internet Of Things Iot +7 more
WK

Walter Kortschak

Angel / Independent

Angel Investor
Seed Small And Medium Businesses Sales And Marketing Analytics +7 more
KH

Karim Hussein

Algebra Ventures LLC

VC Firm
Seed Early Stage Investment Management SaaS Financial Technology Fintech +3 more
AS

Andrea Scarso

The Ingenious Group

Corporate VC
Seed Early Stage Real Estate Technology Financial Services Energy Clean Tech +6 more
TK

Todd Kimmel

Angel / Independent

Angel Investor
Seed Fashion Insurance Travel Tourism +5 more
AO

Andrew Ogawa

Quest Venture Partners

VC Firm
Seed Early Stage Marketplaces Investment Management Security Privacy +7 more
MB

Miia Bovellan

Proxy Ventures

VC Firm
Seed Early Stage E-Commerce
YS

Yuri Sagalov

Wayfinder Ventures

VC Firm
Early Stage Growth Location Based Services Gps Navigation E-Commerce +1 more
BB

Bruce Bruckmann

Bruckmann Rosser Sherrill & Company

Angel Investor
Early Stage PE Growth/Expansion Investment Management Market Research Food Tech +7 more
YG

Yuri Gitahy

Angel / Independent

Angel Investor
Seed Cloud Data Services Social Commerce E Commerce Platforms +7 more
EB

E. Bridger

Dominus Capital

VC Firm
Buyout Recapitalization Investment Management Ad Tech Mobile Commerce +7 more
BC

Ben Capell

Angel / Independent

Angel Investor
Seed Digital Health Healthcare Services SaaS +3 more
CE

Christian Evans

Angel / Independent

Angel Investor
Seed Marketplaces Fashion Consumer Internet +6 more
MF

Mark Foreman

Luminate Capital Partners

VC Firm
PE Growth/Expansion Buyout Big Data Internet Of Things Iot SaaS +4 more
BH

Brent Handler

Angel / Independent

Angel Investor
Seed Technology Media And Telecom Tmt E-Commerce +2 more
SS

Stefan Smalla

Angel / Independent

Angel Investor
Seed Technology Media And Telecom Tmt E-Commerce +1 more
NK

Neil Kenley

Vistara Capital Partners

VC Firm
Seed Early Stage Big Data Ad Tech Internet Of Things Iot +7 more
KK

KC Kanoff

Mainsail Partners

Angel Investor
Growth PE Growth/Expansion Investment Management It Management Internet +7 more
ML

Marcin Laczynski

Next Road Ventures

VC Firm
Seed Early Stage Big Data Investment Management Ad Tech +6 more
BG

Brian Guthrie

Riverside Partners

Angel Investor
Growth PE Growth/Expansion Big Data Investment Management Healthcare +7 more
TV

Travis Vanderzanden

Angel / Independent

Angel Investor
Seed It Management Technology Media And Telecom Tmt +3 more
SK

Stella Kleiman

Floret Ventures

VC Firm
Seed Early Stage Investment Management SaaS E-Commerce +4 more
EM

Elizabeth Mazhari

Maryland Venture Fund

VC Firm
Seed Early Stage Big Data Biotechnology Cloud Computing +7 more
WS

Wil Schroter

Angel / Independent

Angel Investor
Seed Consumer Internet E-Commerce

Frequently Asked Questions about Institutional LP Investors

VC Sift maintains a comprehensive list of E-Commerce investors across all stages, from pre-seed angels to growth-stage VC firms. Our database includes verified contact information for each investor.
The E-Commerce space includes investors active at every stage. Use our filters to narrow down by pre-seed, seed, Series A, and beyond to find the right stage match for your company.
Yes. VC Sift Essentials subscribers can export up to 1,000 E-Commerce investor contacts per month as a CSV file. Pro subscribers have unlimited exports.
Combine the E-Commerce sector filter with a country filter on the VC Sift search page to find investors matching both criteria. You can also browse our pre-built sector + country combo pages.
VC Sift validates email addresses and updates investor records on a rolling basis. We use a combination of automated verification and manual research to maintain data accuracy.