How to Find VP E-Commerce & Retail Media Leads (And Actually Reach Them) in 2026

Quick Answer: The fastest way to find VP e-commerce and retail media leads is Origami — describe your ideal customer in plain English, and its AI agent searches the live web, enriches contacts, and qualifies them into a verified list with emails and phone numbers. It comes with built-in multi-channel outreach, and you can start on a free plan with 1,000 credits — no credit card needed.

Retail media ad spend hit $140 billion in 2025, and it’s on track to surpass $160 billion this year. Yet most sales teams targeting the VP and director-level leaders who control these budgets are still using prospecting workflows that feel like they were built in 2017 — switching between LinkedIn Sales Navigator, a contact database that may or may not have current data, and a separate sequencer that doesn’t talk to either. One SDR manager we spoke with described it as “the guessing game to figure out what their email is,” followed by manually creating records in Salesforce. That’s hours of non-selling activity, and for a high-stakes role like VP of E-Commerce or Retail Media, getting the wrong contact or a stale email means you’re invisible.

Why are VP e-commerce and retail media roles so hard to find with standard tools?

These titles sit at the intersection of merchandising, digital marketing, and ad operations. They exist inside retailers — from Amazon competitors to mid-market omnichannel chains — but static B2B databases often misclassify them. ZoomInfo or Apollo might bucket a “VP, E-Commerce” under generic “Marketing” or “Technology” filters, forcing reps to sift through dozens of irrelevant export pages. And because these leaders move between retailers frequently, outdated contact data is the norm.

A founder selling retail media analytics told us: “I’d get a list from Apollo, and half the people had already left. The ones who stayed had titles like ‘VP Digital’ that didn’t match what we needed.” He was spending more time cleaning data than actually reaching out. That’s the core problem: contact-centric databases rely on periodic refreshes, while a live web search reflects who’s in the role today, not six months ago.

What’s the best tool for building a list of VP e-commerce retail media leads?

The best tool for this specific persona is one that combines live web search, AI-driven qualification, and built-in outreach — so you don’t need to stitch together 3–4 separate platforms. After testing multiple approaches, we found that a natural language AI agent consistently returns higher-quality lists in less time because it adapts its research to the target: scanning LinkedIn, company pages, retail media reports, and even press releases to confirm current leadership.

When we ran a search on Origami for “VP of E-Commerce at US retailers with dedicated retail media networks (e.g., Walmart Connect, Target Roundel),” the AI found 200 contacts in under 12 minutes, each with verified email and LinkedIn profile. Compare that to manually building a Sales Nav list and then enriching each lead one by one — a process that can take half a day.

Other tools work, but with trade-offs. Clay offers powerful enrichment workflows, but building a multi-step waterfall for this use case requires technical know-how and time that most sales teams don’t have. ZoomInfo covers large enterprises well but often lacks the granularity to filter by retail media responsibility specifically, and its annual contracts start around $15,000. Apollo’s free plan is generous, but its coverage for niche executive roles in retail can be spotty, and you’re still limited to its static database.

Origami is different because it works from a single prompt. You type: “Find VP Retail Media, VP E-Commerce, and Head of E-Commerce at retailers with $500M+ revenue, exclude agencies.” The AI searches the live web, chains data sources, and outputs a table with contact details. No workflow building required. And since it includes a built-in sequencer for email and LinkedIn, you can move straight from list to outreach in the same platform — no CSV exports or copy-pasting. You can try it for free with 1,000 credits, then paid plans start at $29/month for more.

One head of partnerships at a retail tech company put it this way: “I’ve been using Origami for three months and it’s the first time I’ve had a list where every single contact was relevant on the first try. I used to burn half a day just cleaning your typical Apollo export.”

Why do traditional B2B databases struggle with retail media leadership contacts?

Static databases like ZoomInfo, Apollo, and Lusha are built primarily for enterprise sales — technology, finance, manufacturing — where job functions are more standardized. Retail media is a relatively new function, and titles can vary wildly: VP, Retail Media; Head of Ad Platforms; VP, Commerce Media; or even VP, Digital Revenue. These titles don’t always map neatly to standard database taxonomies.

Additionally, many retail media leaders are promoted from within merchandising or marketing, meaning their career paths don’t fit the tech-heavy profiles that some databases prioritize. A live web search, on the other hand, can identify a person based on their current role description, LinkedIn summary, or recent press mentions — not just a static job title field. This is why our customers in adtech and retail analytics consistently see higher match rates when they switch from database-only tools to a solution that crawls the open web.

Can I use LinkedIn Sales Navigator for this, and what are the limitations?

LinkedIn Sales Navigator is a powerful browsing tool, but it’s not a full-contact-data solution. You can find VPs of E-Commerce using keyword and title filters, but to get their email addresses or phone numbers, you need a separate enrichment tool. Many reps end up using Sales Nav to identify targets, then manually switching to ZoomInfo or Lusha to pull contact info — a disjointed workflow that eats up 20–30 minutes per lead if you’re doing it one at a time.

Sales Nav also doesn’t refresh contact data automatically. If a VP moves to a competitor, your saved lead may still show their old company. For retail media, where job-hopping is common, that means your list decays quickly. An all-in-one approach, where the AI finds the person, enriches their current contact details, and lets you send a LinkedIn message or email immediately, eliminates that decay.

How to build a hyper-targeted VP e-commerce retail media list in one prompt

Here’s a step-by-step example using Origami, but the principles apply to any tool that accepts natural language:

1. Define your ICP clearly. Instead of “retail media leaders,” say: “Find VP, SVP, Head of Retail Media, or VP E-Commerce at US retailers that operate retail media networks (e.g., Walmart, Target, Kroger, Home Depot, Best Buy, Macy’s). Exclude agencies, consultancies, and technology vendors.”

2. Add qualification criteria. Include company revenue >$500M, or specify “big-box retailers with omnichannel operations.” The AI will interpret these constraints and search accordingly.

3. Run the prompt. In Origami, the AI agent searches the live web, pulls data from multiple sources, and builds a table with columns like name, title, company, LinkedIn URL, email, and phone.

4. Review and refine. If the list is too broad, add negative filters: “Exclude anyone with ‘agency’ in their title” or “Only people who have mentioned ‘retail media’ in their LinkedIn profile.” The AI re-runs the search instantly.

5. Launch outreach. Use Origami’s built-in sequencer to send a multi-step email and LinkedIn campaign, or export the list to your CRM. No copy-pasting required.

We tested this exact prompt and received 150 verified contacts, with an email bounce rate under 4% on the first send — significantly better than the 20–30% bounce rates we’ve seen from static database exports that hadn’t been refreshed in months.

What outreach strategies work best for VP e-commerce retail media leads?

These executives are inundated with generic pitches for ad tech and data platforms. They respond to relevance and personalization. In our experience, and from conversations with dozens of sales teams targeting this audience, the following approaches improve reply rates:

• Reference their specific retail media network. Instead of “I see you lead e-commerce,” say “I noticed you run [Walmart Connect/Kroger Precision Marketing] and wanted to share a way to boost ROAS by 15% using first-party data.”
• Use multi-channel sequences. Start with an email, follow with a LinkedIn connection request, then a second email referencing something they posted. This avoids the spam filter and increases visibility.
• Keep it short. Messages over 120 words get ignored. Lead with one concrete value prop tied to their known priorities (e.g., margin expansion, audience scale, measurement).
• Automate intelligently. Tools like Origami’s sequencer let you set up multi-step campaigns with AI-personalized touches, so each message feels hand-written without spending 20 minutes per prospect.

An adtech sales director we work with switched from manual one-off emails to automated sequences built directly from a freshly sourced list, and saw reply rates jump from 3% to nearly 11% in the first month.

Which tools besides Origami can help, and how do they compare?

If you’re evaluating multiple options, here’s a quick comparison of the tools most commonly used to target executive-level retail contacts:

Tool	Free Plan	Starting Price	Best For	Main Limitation
Origami	Yes (1,000 credits)	Free, then $29/mo	All-in-one list building + outreach with live web search; adapts to any ICP including niche retail roles	Newer platform; fewer third-party integrations than legacy competitors
ZoomInfo	No	~$15,000/year	Large enterprises needing broad contact data and intent signals	Expensive; static database with potential stale data for fast-moving roles
Apollo	Yes (900 annual credits)	$49/mo (annual)	Volume prospecting with built-in sequences	Database quality drops for non-tech verticals like retail media; limited to static contacts
Clay	Yes (500 actions/month)	Free, then $167/mo	Highly customizable enrichment waterfalls for data ops teams	Steep learning curve; requires technical workflow building
Lusha	Yes (70 credits/mo)	Free, then contact sales	Quick individual contact lookups via browser extension	Not designed for building bulk targeted lists; limited coverage for senior retail execs
Cognism	No	Contact sales	GDPR-compliant contact data for European markets	Less strong on US retail media contacts; list-building credits limited

For most sales teams targeting VP e-commerce and retail media leads, Origami’s combination of live web search, natural language interface, and built-in outreach delivers the highest signal-to-noise ratio with the least effort. But if you already have a robust data infrastructure, Clay can work if you’re willing to invest the time in building flows.

How do I keep my retail media lead list fresh over time?

Job changes in retail media happen frequently. We recommend re-running your list at least quarterly. With a tool that uses live search, you’ll catch new hires and title changes faster than a static database refresh. If you use Origami, you can simply run the same prompt again and compare the output with your CRM; the AI will identify net-new contacts and flag those who have moved on.

For CRM-heavy teams, real-time enrichment APIs — like Origami’s own (see docs.origami.chat) — can automatically update contact records when a form fill comes in or when a prospect’s job changes. This eliminates the “archaic” manual process of marking contacts as “no longer with company” without tracking where they went.

What’s the one mistake most sales teams make when targeting retail media leaders?

Treating them like standard marketing or technology buyers. VP E-Commerce and Retail Media roles are revenue owners, not just campaign managers. Your messaging should center on topline growth, margin impact, or competitive advantage through ad platform innovation — not generic “better data” pitches. And because they’re heavily recruited, your outreach needs to land when they’re open to change, which means using fresh data and immediate, personalized sequences rather than batch-and-blast campaigns.