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PreviewYou’re looking at a demo workspace in fixture mode — no real subscribers, no real spend.
Closed Loop Enrich

Growth Notes (sample)

Mailchimp · Ready · added 23 Oct 2026

New run…Report on 100ContactsWrite back to MailchimpCompaniesExport CSV

Rows read

210

Contacts kept

210

Invalid

0

Duplicates

0

Business

122

Free mail

88

Disposable

0

Role addresses

5

Cost per qualified lead

$0.0093¹

$0.0093 per qualified lead — $0.232 spent across 1 run ÷ the 25 A/B contacts in the list now.

  • Run of 23 Oct 2026 · completed · $0.0093 per qualified lead — $0.232 spent ÷ 25 A/B grades (of 210 graded).

¹ Qualified = graded A or B by the run’s rubric (AI or rules). Spend = what the run’s lookups actually cost, as recorded on the run: Apify person match, the email verifier, work email, phone, company signals and the AI model; anything re-used free (the shared cache, contacts looked up before) is $0, and a fixture run records the recorded results’ prices without charging anyone. On Closed Loop credit your plan counts contacts, not dollars (Billing shows contacts per qualified lead). Projected = the estimate (a ceiling) ÷ the contacts the grade covers × the A/B share of contacts already graded in the list (or the workspace).

Counts by stage

StageDoneOf contactsDetail
1 · Normalise and dedupe210100%Syntax, role, disposable and free-mail checks.
2 · Domain intelligence210100%MX records and the company homepage, cached per domain.
3 · Engagement20296%Ranked by per-send open and click rate (contacts with send counts from the file or the ESP).
4 · Person match210100%108 matched · 9 no match · 93 skipped · 0 not looked up yet.
5 · AI grade210100%25 qualified (A or B) · 185 C or D. See the qualified prospects

List hygiene

From email verification: no mail is sent, a catch-all is never counted as valid, and an address checked in the last 30 days is not checked again.

Not verified yet — 210 contacts. Start a run with “Verify email addresses” to get a deliverability verdict for each address and a bounce estimate.

Engagement × fit

Fit is the AI grade (A or B is high fit). Engagement is the open rate per send: 15% or more is engaged — never “opened at least once”. Every contact of this list.

Engaged · opens ≥ 15% of sendsCold · under 15%High fit
A · B

High fit, engaged

13 · 6%

Sell or upsell: they match your ICP and read you.

Open in Contacts

High fit, cold

11 · 5%

Re-engage: they match your ICP but stopped opening.

Open in Contacts
Low fit
C · D

Low fit, engaged

91 · 45%

Loyal readers outside your ICP: keep them, do not pitch.

Low fit, cold

87 · 43%

Lowest priority: candidates for a list clean-up.

Not in the grid: 0 not graded yet · 8 graded without send data.

27 companies that read you are running ads, hiring or have ad pixels

From what Company signals and the homepage read already found — nothing is fetched or paid to show this. Companies with a business domain only.

27of 30 companies

  • Running ads: 20 of 30 checked
  • Hiring: 13 of 30 checked (3 for marketing)
  • Ad pixels: 20 of 30 homepages read
  1. AOrchard Learningorchard-preview.example4 readers · 1 decision makerRunning ads: LinkedIn 3+Hiring: 6 open roles, 1 in marketingAd pixels: Meta PixelContacts
  2. AKestrel AIkestrel-preview.example6 readers · 2 decision makersRunning ads: Meta 3Hiring: 8 open roles, 1 in marketingContacts
  3. ANimbus HRnimbus-preview.example4 readers · 2 decision makersRunning ads: Google 5+Hiring: 10+ open rolesAd pixels: Meta PixelContacts
  4. BCopperline Mediacopperline-preview.example4 readers · 1 decision makerRunning ads: Meta 5+ · LinkedIn 3+Hiring: 3 open rolesAd pixels: Meta Pixel, LinkedIn Insight, Google AdsContacts
  5. BSaffron Studiosaffron-preview.example3 readers · 1 decision makerRunning ads: Meta 5+Hiring: 10+ open rolesAd pixels: LinkedIn Insight, Google AdsContacts
See all 27 rankedRanked by score: running ads 3, hiring for marketing 2 (any open role 1), an ad pixel on the homepage 1, funding news 1; then by decision makers and readers.

Segments of this list

New segment

No segments yet. “Create auto-segments” adds one per grade and per seniority this list has contacts in; the matrix above saves its high-fit cells in one click.

Write-backs to Mailchimp

ProposedStatusSubscribersWritten
23 Oct 2026Undone2525Open