TL;DR
- The April 27, 2026 study covered 556,195 store records, 741,701 contact records and 687,202 filled-in entries in contact email lists. Entries are not unique addresses or people.
- 418,668 stores (75.3%) had a contact; 183,082 (32.9%) had at least one contact with a filled-in email marked verified.
- 5,997 (1.1%) had a verified email, broad outreach-role match and LinkedIn field on the same contact. This records context, not current send readiness.
- Among 198,951 estimated 50K+ stores, 74,304 had verified email without a mapped outreach role, 91,322 had contacts without verified email, and 28,624 had no contact records. A further 145 had verified role but no LinkedIn.
- Choose an enrichment action from the actual missing field. Current employer, persona relevance, address recency and suppression remain separate checks for every bucket.
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Method and Definitions
The retained extraction used one consistent, read-only pass on April 27, 2026 across all stored stores and contacts. Store attributes came from stored traffic estimates, counts and labels; there was no latest-snapshot join, live-store requirement or observation-age ceiling.
Verified email means a filled-in email entry marked verified. Non-generic excludes a finite lowercase local-part list such as info, hello, support and sales; unlisted shared inboxes can still pass. Two verified contacts means two contact records, not necessarily two unique people or addresses.
The outreach-role filter accepts selected normalized executive/manager/department roles or broad owner, founder, chief, president, head, director, manager, ecommerce, growth, marketing and operations title patterns. Verified role + LinkedIn must appear on the same contact. It does not establish current employment or buying authority. The ladder's conditions overlap rather than forming one consecutive funnel.
App/pixel counts may include payments or missing values and are not enabled-feature measures. Scores share inputs with stack and traffic fields. Pixels do not prove active spend; a positive stored Meta-ad count needs observation-date/coverage checks. Neither estimated traffic nor a Plus flag confirms revenue, budget or plan.
Recorded Contact Coverage
| Contact layer | Stores | Share of all stores |
|---|---|---|
| Any contact | 418,668 | 75.3% |
| Email contact | 414,842 | 74.6% |
| Verified-email contact | 183,082 | 32.9% |
| Verified non-generic contact | 71,634 | 12.9% |
| 2+ verified-email contacts | 41,643 | 7.5% |
| LinkedIn contact | 21,691 | 3.9% |
| Verified-email contact + LinkedIn | 7,160 | 1.3% |
| Verified outreach role | 6,352 | 1.1% |
| Verified outreach role + LinkedIn | 5,997 | 1.1% |
| 2+ verified outreach roles | 2,585 | 0.5% |
A contact record can describe a shared inbox. A verified status can be stale. A profile URL can be stored without a current role or valid address. Use each field for the question it answers, and confirm the person before sequencing.
Five Exclusive Record Buckets
The study applies the conditions in this order: same-contact verified role/LinkedIn; verified role without that combination; any verified email without a mapped role; any contact with no verified email; no contacts. The five store counts sum to 556,195.
| Action bucket | Stores | Share | 50K+ stores | 95+ score stores | 200K+ stores |
|---|---|---|---|---|---|
| Verified role + LinkedIn recorded | 5,997 | 1.1% | 4,556 | 4,452 | 1,048 |
| Verified role, no LinkedIn | 355 | 0.1% | 145 | 163 | 3 |
| Verified email, no mapped outreach role | 176,730 | 31.8% | 74,304 | 78,562 | 3,836 |
| Contacts, no verified email | 235,586 | 42.4% | 91,322 | 101,049 | 4,640 |
| No contact records | 137,527 | 24.7% | 28,624 | 30,933 | 1,012 |
The 176,730 verified-email/no-role records indicate a role-matching task, not a proven reachable buyer. The 235,586 contact/no-verified-email records can require several different actions:
| Address/identity check | Proposed next action |
|---|---|
| A relevant current person with found/matched email | Verify that address and check suppression |
| Catch-all, guessed or unknown status | Review evidence and verification limits before deciding whether to use it |
| Contact has no email | Find a relevant current person/address; mailbox verification alone cannot fill the gap |
| Bounced address without a usable alternative | Suppress that address; discover a replacement only if account and person fit justify it |
| Wrong role, employer or shared inbox | Match the actual stakeholder before further address work |
These are review branches, not newly measured subgroups. The retained output does not provide their counts within the 235,586 records. Do not apply a verification-only instruction to every row.
Historical Research Pools
| Pool | Stores | No contact | Contacts, no verified email | Verified but no role | Verified role + LinkedIn recorded | Avg score |
|---|---|---|---|---|---|---|
| 50K+ traffic | 198,951 | 28,624 (14.4%) | 91,322 (45.9%) | 74,304 (37.3%) | 4,556 (2.3%) | 97.0 |
| 50K+ + 5+ apps | 152,726 | 20,656 (13.5%) | 72,121 (47.2%) | 56,476 (37.0%) | 3,347 (2.2%) | 99.8 |
| 50K+ + 8+ pixels | 159,702 | 22,509 (14.1%) | 72,700 (45.5%) | 60,741 (38.0%) | 3,640 (2.3%) | 97.8 |
| 50K+ + positive stored Meta-ad count | 4,417 | 516 (11.7%) | 1,316 (29.8%) | 1,870 (42.3%) | 712 (16.1%) | 97.0 |
| 200K+ traffic | 10,539 | 1,012 (9.6%) | 4,640 (44.0%) | 3,836 (36.4%) | 1,048 (9.9%) | 98.9 |
| Lead score 95+ | 215,159 | 30,933 (14.4%) | 101,049 (47.0%) | 78,562 (36.5%) | 4,452 (2.1%) | 99.5 |
The displayed pool columns omit the small verified-role/no-LinkedIn bucket. Their remainders are 145, 126, 112, 3, 3 and 163, respectively, calculated as pool total minus the four displayed action columns. Pool definitions overlap, so do not add their totals.
These screens describe record composition. They contain no enrichment cost, reply or sales outcome proving which pool deserves credits. Set an account hypothesis from a confirmed use case, run a bounded pilot, and measure current-person match rate, cost per usable contact and actual outcomes. A low-traffic specialist can have a valuable requirement; a dense public stack can be well served already.
Traffic and Category Context
| Traffic tier | Stores | Stored contacts | Verified-email contact | Verified but no role | Contacts, no verified email | No contact | Verified role + LinkedIn recorded |
|---|---|---|---|---|---|---|---|
| Under 50K | 357,244 | 248,341 (69.5%) | 104,077 (29.1%) | 102,426 (28.7%) | 144,264 (40.4%) | 108,903 (30.5%) | 1,441 (0.4%) |
| 50K-200K | 188,412 | 160,800 (85.3%) | 74,118 (39.3%) | 70,468 (37.4%) | 86,682 (46.0%) | 27,612 (14.7%) | 3,508 (1.9%) |
| 200K-1M | 10,483 | 9,475 (90.4%) | 4,857 (46.3%) | 3,823 (36.5%) | 4,618 (44.1%) | 1,008 (9.6%) | 1,031 (9.8%) |
| 1M-5M | 51 | 47 (92.2%) | 28 (54.9%) | 13 (25.5%) | 19 (37.3%) | 4 (7.8%) | 15 (29.4%) |
| 5M-20M | 5 | 5 (100.0%) | 2 (40.0%) | 0 (0.0%) | 3 (60.0%) | 0 (0.0%) | 2 (40.0%) |
The verified-role/LinkedIn rate differs across these stored traffic tiers. That can inform how much missing context you expect to review, but cannot establish deal value or whether manual work is profitable. The largest tiers are estimates with unknown observation ages; tiny 1M+ groups should not support broad conclusions.
Selected stored categories:
| Category | Stores | Verified-email contact | Verified but no role | Contacts, no verified email | No contact | Verified role + LinkedIn recorded |
|---|---|---|---|---|---|---|
| Fashion | 76,772 | 26,630 | 25,451 | 31,022 | 19,120 | 1,139 |
| Home & Garden | 37,866 | 14,146 | 13,700 | 13,966 | 9,754 | 417 |
| Food & Beverage | 32,124 | 12,842 | 12,232 | 11,549 | 7,733 | 589 |
| Beauty | 27,804 | 10,714 | 9,897 | 11,076 | 6,014 | 794 |
| Jewelry | 17,295 | 6,036 | 5,777 | 6,738 | 4,521 | 245 |
| Health & Wellness | 13,136 | 5,504 | 5,269 | 4,396 | 3,236 | 226 |
| Sports & Fitness | 12,845 | 4,942 | 4,750 | 4,387 | 3,516 | 183 |
| Electronics | 7,084 | 2,830 | 2,707 | 2,547 | 1,707 | 119 |
| Baby & Kids | 5,492 | 2,152 | 2,047 | 2,023 | 1,317 | 100 |
Fashion has the largest verified-email/no-role count among the named rows shown. Beauty's recorded role/LinkedIn proportion is higher, but category and source coverage can affect this; it does not measure founder visibility, maturity or buying intent. Select a category when it changes the actual stakeholder or requirement you need to validate.
Contact Source and Timestamp Context
These source rows count contacts, not stores. Source acquisition methods collect different fields, so the rates are not controlled comparisons of vendor quality.
| Source | Contacts | Verified-email contacts | Verified non-generic | LinkedIn contacts | Outreach-role contacts |
|---|---|---|---|---|---|
| Contact pages | 500,042 | 172,879 (34.6%) | 65,269 | 562 | 578 |
| Site footers | 95,118 | 39,907 (42.0%) | 10,700 | 68 | 102 |
| People enrichment | 59,503 | 17,953 (30.2%) | 17,925 | 59,476 | 32,820 |
| About pages | 40,699 | 11,927 (29.3%) | 4,379 | 2,351 | 9,880 |
| Privacy pages | 23,386 | 9,618 (41.1%) | 3,764 | 87 | 76 |
| Search enrichment | 18,144 | 4,064 (22.4%) | 4,064 | 18,144 | 9,722 |
People enrichment and search enrichment are historical source groups in this selected table. Neither row is a current Apollo or RocketReach performance benchmark. Contact pages/footers provide many addresses but few profile/role fields; profile-oriented sources provide more context and still need current address and suppression checks.
The following bands use each contact's last verification date relative to April 27, not October or a new mailbox/employer check:
| Freshness band | Contacts | Verified-email contacts | Outreach-role contacts | LinkedIn contacts |
|---|---|---|---|---|
| 0-30 days | 389,483 | 115,765 | 1,371 | 2,332 |
| 31-90 days | 194,424 | 141,471 | 24,237 | 38,447 |
| 91-180 days | 220 | 1 | 12 | 13 |
| No verification timestamp | 157,574 | 0 | 29,529 | 43,840 |
A contact-row timestamp does not prove when a particular address was last checked or whether the person still works there. At campaign time, record the actual address-check source/date and confirm employer and role independently.
Proposed Workflow: Account, Person, Address, Exclusions
- Define the actual service or SaaS use case and select historical store signals that help investigate it. Recheck current store/provider evidence and public journeys; missing third-party detections can hide native/backend capabilities.
- Assign the record to one of the five field-completeness buckets above. Even a recorded verified-role/LinkedIn combination needs current validation.
- Match the relevant stakeholder. For lifecycle or CRO work, investigate ecommerce and marketing/growth; for post-purchase work, investigate operations/CX; for development, investigate the technical or ecommerce owner. These are proposed role ladders, not measured buyer committees.
- Fill the missing field and record source/date. Verify found/matched addresses; find people/addresses when absent; suppress bounced addresses. A verified shared inbox is not automatically a named buyer.
- Merge sender, CRM and previous-campaign exclusions before importing into a CRM or sequencer and reapply them after enrichment. Preserve opt-outs at the scope requested, even if a new address or person is discovered.
- Review current employer, persona fit, address-check age and account context before sending. Keep a hold queue for unresolved rows rather than treating a high lead score as approval.
StoreInspect pricing, checked October 14, 2026, lists full filters/CSV on paid plans: Pro $99/month, 10,000 unique monthly exports and 1,000 contact reveals. Free has no CSV. Verify dashboard fields against the chosen study filter; this is a proposed process, not an executed current UI test.
Store Leads' Apollo integration documentation, checked October 10, describes store-first discovery followed by people/persona and CRM work. That can support a similar workflow. Select an enrichment provider for the missing field, current coverage, provenance and cost; this study does not compare Apollo, Snov.io, RocketReach or ZoomInfo performance or budget fit.
Carry Suppression Through Enrichment
Check unsubscribe/do-not-contact requests first, across normalized email, person and account where the request applies. Then check bounced addresses, duplicate normalized emails, current customers, open opportunities, prior outreach holds, excluded campaigns and stale/uncertain employment. Previous export membership calls for review of actual outreach history rather than an automatic permanent ban.
The FTC commercial-email guide, checked October 10, covers B2B commercial email and requires honoring opt-outs within ten business days. Google's sender guidance adds authentication and unsubscribe requirements for mail to personal Gmail accounts, with additional requirements for bulk senders. Neither a verified address nor a product export overrides exclusions.
Proposed suppression test: mark a test account do-not-contact, add an enriched replacement address, and attempt to import it into a candidate list. The expected result is an excluded account and no sequence enrollment. Run this test in the actual CRM/sequencer; it is not a claim that StoreInspect saved lists automatically enforce cross-tool suppression.
FAQ
Are 5,997 stores ready without enrichment?
They had the recorded same-contact verified-role/LinkedIn combination in April. They still need current person, address and suppression checks; no send-ready count was measured.
Should every contact without verified email be reverified?
First inspect the actual gap. Missing addresses or wrong people need discovery; bounced addresses need suppression; found/matched addresses may need verification. The 235,586-store bucket does not distinguish those actions numerically.
Does verification establish role or mailbox delivery?
Stored verified status records a previous assessment. It does not guarantee delivery now, employment, relevance or permission. Confirm those separately.
How often should I refresh contacts?
Before a new campaign, assess the age and source of the actual address/person evidence. Recheck stale or uncertain records and preserve earlier exclusions through every refresh.
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