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
JA

Jonathan Axelrod

Angel / Independent

Angel Investor
Seed Internet Of Things Iot Real Estate Technology Consumer Internet +7 more
CF

Craig Fleischman

Angel / Independent

Angel Investor
Seed Big Data Cloud Computing E-Commerce +3 more
ED

Edward Dresner

Eastward Capital Partners

VC Firm
Seed Early Stage SaaS Technology Media And Telecom Tmt +3 more
BG

Benjamin Geiger

Freeman Spogli & Co.

Angel Investor
Growth PE Growth/Expansion Investment Management Retail Restaurant Manufacturing +4 more
OL

Ofer Lazovski

Kaedan Capital

VC Firm
Seed Early Stage Vr Metaverse Digital Health Ad Tech +7 more
DF

David Farmer

Chord Capital

VC Firm
Seed Early Stage Financial Services Energy Clean Tech Technology +2 more
WB

William Boncosky

Gravity Ventures LLC

VC Firm
Seed Investment Management Digital Media Internet Of Things Iot +6 more
AP

Andrew Pickering

Foresight Group

Corporate VC
Seed Early Stage Investment Management 3d Technology Financial Services +7 more
TN

Tymen Nicolas

BNP Paribas Dveloppement

Angel Investor
Seed Early Stage Investment Management Manufacturing E-Commerce +1 more
AS
Angel Investor
Early Stage It Management Financial Services E-Commerce +2 more
MH

Matt Hershey

Marron Capital

VC Firm
Pre-Seed Seed Investment Management Banking SaaS +7 more
BR

Ben Rush

Angel / Independent

Angel Investor
Seed Marketplaces It Management Internet Of Things Iot +7 more
DA

Daniel Ayeroff

Bregal Unternehmerkapital GMBH

Corporate VC
Growth PE Growth/Expansion Investment Management SaaS Manufacturing +6 more
EY

Eva Yao

Alpha Square Group

Corporate VC
Seed Early Stage Food Tech Technology Media And Telecom Tmt +2 more
PN

Perry Nelson

Nicely Noted

Angel Investor
Early Stage Sharing Economy SaaS E-Commerce
JC

Julien Codorniou

Felix Capital

VC Firm
Seed Early Stage Investment Management Digital Media SaaS +5 more
OD

Oren Dobronsky

Angel / Independent

Angel Investor
Seed Marketplaces Healthcare E Commerce Platforms +7 more
KP

Krish Panu

PointGuard Ventures

VC Firm
Seed Early Stage Big Data Education Technology Edtech SaaS +5 more
NP

Nicholas Percoco

Kraken Digital Asset Exchange

Angel Investor
Early Stage Food Tech Financial Services Technology +2 more
MF

Mark Friedgan

Angel / Independent

Angel Investor
Seed Marketplaces Personal Finance Financial Services +4 more
MH
Angel Investor
Seed Crypto Web3 Blockchain Marketplaces Real Estate Technology +6 more
RS

Rob Sweeney

Sycamore Partners

Angel Investor
Growth PE Growth/Expansion Investment Management Financial Services Retail Restaurant +2 more
DV

Deyan Vitanov

Angel / Independent

Angel Investor
Seed Education Technology Edtech Technology Media And Telecom Tmt +1 more
NK

Neil Kadisha

Omninet Capital

VC Firm
Seed Early Stage Biotechnology Real Estate Technology Cloud Infrastructure +5 more
KO

Kevin O'Connor

Scop Venture Capital

VC Firm
Seed Early Stage SaaS Artificial Intelligence Machine Learning Manufacturing +3 more

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.