Dan Kartchner

Business Development Representative (BDR)

DetailPage

BDROutbound Heavy
Posted by Dan Kartchner•

Overview

You're doing cold outbound to e-commerce brands—mostly DTC companies and Amazon sellers—to book demos for the AE team. DetailPage gives you custom data about each prospect's current Amazon/Walmart performance, and you use that to personalize LinkedIn messages and cold emails. You're not calling much; this is mostly written outreach with some LinkedIn voice notes.


Role Snapshot

AspectDetails
Role TypeOutbound BDR (booking meetings, not closing)
Sales MotionOutbound-heavy (90%+ cold prospecting)
Deal ComplexityN/A (you're booking, not closing)
Sales CycleN/A for BDR
Deal SizeN/A for BDR
Quota (est.)15-20 qualified meetings booked/week

Company Context

Stage: Early-stage (30 employees, funding status unknown)

Size: 30 employees

Growth: Hiring BDRs and building out sales team now

Market Position: Category creator in AI-powered e-commerce content optimization—explaining GEO (Generative Engine Optimization) and AEO (AI Engine Optimization) to brands who mostly only know SEO


GTM Reality

Pipeline Sources:

  • 10% Inbound - Some brands find them through content/SEO, but it's not a major lead source yet
  • 90% Outbound - You're building lists of e-commerce brands and reaching out cold with their performance data
  • Minimal partner/referral flow at this stage

SDR/AE Structure: You're booking meetings for AEs to close. Clear handoff at the qualified meeting stage.

SE Support: No dedicated SE mentioned—likely AEs handle technical demos themselves given the team size.


Competitive Landscape

Main Competitors: Traditional SEO agencies, Amazon/Walmart marketplace consultants, content optimization tools (Jungle Scout, Helium 10, etc.)

How They Differentiate: Patented AI-powered optimization for ChatGPT Shopping, Amazon, Walmart search. They're selling the "next evolution" beyond SEO—optimizing for AI engines that recommend products.

Common Objections: "We already have an SEO agency," "We're doing fine on Amazon already," "What's GEO/AEO?" (education gap), "How do we measure ROI on AI search?"

Win Themes: Measurable results (17% traffic lift, 8-12% ACOS improvement), ex-Amazon/Walmart team credibility, first-mover advantage in AI-powered shopping


What You'll Actually Do

Time Breakdown

Prospecting/Research (50%) | Outreach (30%) | Follow-ups (15%) | Internal (5%)

Key Activities

  • List building: You're researching e-commerce brands that sell on Amazon/Walmart, identifying decision makers (usually CMO, Director of E-commerce, Head of Marketplace, or founder at smaller DTC brands). You use DetailPage's data tools to pull insights about their current performance.
  • Personalized outreach: Writing LinkedIn messages and cold emails using the custom data insights. The pitch is essentially "we analyzed your [product category] performance on Amazon—here's what we found" to get their attention. You're not blasting generic templates.
  • LinkedIn engagement: Commenting on prospects' posts, sending connection requests, maybe recording short video messages. This is a LinkedIn-heavy role based on the post.
  • Meeting qualification: When someone responds, you're doing light qualification (Are they actually selling on Amazon/Walmart? Do they care about organic traffic? Are they the decision maker?) before booking time with an AE.

The Honest Reality

What's Hard

  • Low response rates: Even with good data, most cold outreach gets ignored. You'll send 100+ messages to book 15-20 meetings.
  • Education burden: Many prospects don't know what GEO or AEO are yet. You're not just booking meetings—you're explaining a new category, which slows down responses.
  • Repetitive work: You're doing the same prospecting motion over and over. Research brand → find contact → personalize message → follow up → repeat.
  • Scrappy startup environment: At 30 people, processes aren't fully built. You might be figuring out your own list sources, experimenting with messaging, dealing with limited tech stack.

What Success Looks Like

  • 15-20 qualified meetings booked per week consistently
  • AEs show up to your meetings and don't complain about quality (prospects are actually in-market, have budget authority)
  • Fast promotion to AE if you crush quota—the CRO explicitly mentioned upward mobility

Who You're Selling To

Primary Buyers:

  • CMOs or VPs of Marketing at mid-sized e-commerce brands
  • Directors of E-commerce or Marketplace at larger brands
  • Founders at smaller DTC companies (sub-$10M revenue)

What They Care About:

  • Increasing organic traffic and reducing paid ad dependency (ACOS/TACOS improvement)
  • Staying ahead of AI-powered shopping trends (ChatGPT, Perplexity, future of search)
  • Measurable ROI—they want to see traffic and conversion data, not fluffy content strategy

Requirements

  • Some experience with email/LinkedIn outbound prospecting (even internships or side hustles count)
  • E-commerce or Amazon knowledge—you need to understand how brands sell online and what metrics they care about
  • Comfortable in early-stage, scrappy environments—this isn't a corporate sales floor with 50 BDRs
  • Self-starter who can figure things out without detailed playbooks
  • Strong written communication—your emails and LinkedIn messages need to be sharp and personalized