Find DTC & retail decision-makers while they're scaling.
2.3M+ verified contacts at e-commerce and DTC brands - Founders, Heads of Growth, E-commerce Directors, and supply chain leads. Ken finds them, qualifies them against your ICP, writes the outreach, runs email and LinkedIn multichannel, and lands it in the inbox. Get early access or book a call to run it on your real leads.
Example searches
Trusted by 1,000+ B2B companies
- SaaSRise
2.3M+ retail and DTC contacts. Every brand is drowning in partnership pitches.
DTC founders and e-commerce operators get pitched constantly - tools, agencies, fulfillment, financing - and most of it is a generic “grow your brand” template that ignores what stage the company is actually at. A brand doing $50M in revenue needs different tools than one doing $5M. Ken qualifies each company against your ICP with AI - revenue range, category, channel mix - on top of 2.3M+ retail and DTC contacts, then personalizes every email around the brand's actual traction, not a category-wide pitch.
- retail & DTC contacts
- 2.3M+
- founders, growth leads, and e-commerce operators across 10+ source platforms
- engagement from Ken personalization
- +127%
- measured across 500,000+ sent emails
- qualification rate
- 90%
- AI reads each brand's site and traction before you send
- free credits to start
- 1,000
- no card; about 690 finished leads
Reach brands on signals Ken can actually see.
Most DTC growth never shows up in funding data, so Ken also watches hiring, new leaders and news, acts on real engagement, and reads the site for fit.
Multi-click intent on product pages and retention dashboards
A DTC buyer who clicks your pricing or demo link more than once is showing real intent. Ken flags it and can fire the next touch automatically or route them to you, so your warmest brands never sit waiting.
Re-engage quiet DTC operators
A brand that engaged and then went quiet gets picked back up. Ken watches for clicks that stop and re-approaches with a different angle before the thread goes cold.
Sort e-commerce & DTC brand replies the moment they land
Every reply from a founder or growth lead is classified the moment it lands - interested, not interested, or out of office - and routed or handled automatically, so real conversations reach you and the noise does not.
Qualified to your ICP
Score every brand against criteria a dropdown cannot express - “DTC brand in a specific category with $5M-$50M revenue” or “consumer brand selling through both DTC and wholesale.” Ken reads each site and LinkedIn so under-fit brands never enter the sequence.
Built to cut through partnership-pitch fatigue.
Filter by traction, not just category.
“DTC brands in a category with $5M-$50M revenue” isn't a dropdown filter anywhere else. Ken's AI reads each brand's site and activity and scores it against your actual ICP - our clients report under 10% unqualified leads.
Emails that reference the brand's actual traction.
DTC founders ignore anything that sounds like a mass partnership blast. Ken writes from real prospect data - the brand's product line, recent launches, and site details - inside human-written frameworks. In our 500k-email study, Ken personalization lifted engagement 127% while generic AI copy dropped it 25%.
Stay visible after the email, not just in the inbox.
Every tracked click syncs to your AdRoll, Meta, or Google audiences automatically, so a founder who opens but doesn't reply still sees your brand across the platforms they actually spend time on.
From ICP to booked meetings.
Three steps. Nothing sends until you approve.
Describe your buyer
Paste your website and Ken drafts your ICP and offer - or describe it yourself: category, revenue range, company size. Edit and confirm in under a minute.
Review your campaign
Ken sources DTC and retail leads, qualifies each against your criteria, segments them, and drafts personalized multichannel sequences in your voice. Nothing sends until you approve it in your queue.
Send and take the meetings
Approve and launch from your own inboxes, or from Ken inboxes on Ken AI. Replies get sentiment-tagged, positives reach you instantly, and meetings land on your calendar.
Frequently Asked Questions
What teams ask before running outbound for E-commerce & DTC Brands with Ken.
Ken Search covers 2.3M+ contacts at e-commerce and DTC brands inside Ken's database of 250M people and 24M companies. Slice them by revenue, seniority, function, category, and AI-qualified fit to find brands actually in a position to buy.
Target by real fit, not just category. Ken's AI qualification can filter on criteria like “DTC brand in a specific category with $5M-$50M revenue” or “consumer brand selling through both DTC and wholesale,” and personalization pulls from the prospect's actual site, LinkedIn, and recent launches so the email reads as specific to their brand, not a mass blast.
A list export is step one of nine. Ken runs the whole engine: sourcing, triple email verification, AI qualification, segmentation, copywriting, personalization, sending on managed infrastructure with warm IPs, reply handling, and analytics. You approve the campaign; Ken does the grunt work.
It works when the targeting is tight and the trigger is real. Ken qualifies every lead against your ICP with AI, then personalizes subject line, opener, body, and PS from the brand's actual traction. That combination produced 127% higher engagement than unpersonalized copy in our 500k-email study, and 7x more meetings per 10k contacts than the industry average.
Start free with 1,000 credits. No card. Ken AI is $200/mo ($160/mo billed annually) with 200,000 sends and 5,000 credits a month. 5,000 credits cover about 1,000 finished leads, 10 Ken inboxes, and one LinkedIn account a month. Domains for Ken inboxes come on top, about $13 each the first year, then $16 a year, unless you bring your own. Or have our team run it for you and pay per held meeting.
Your buyers are 2.3M contacts deep.
Build a campaign on your exact DTC or retail ICP. Get early access or book a call. Campaigns are sourced, verified, qualified, and written. Send when you like what you see.
