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

Run · Sample-first demo

Paused · started 25 Oct 2026 · fixture (recorded results, nothing is paid)

Progress

Paused after the sample — continue or stop below

99% · 100 contacts in the list · paid and AI stages: no filters — the whole list

Spend

$0.02 spent of a $1.00 hard cap

Estimate $0.00 (the ceiling: free re-use and the pre-check skips come off it) · fixture, nothing is charged

Counts nothing against the plan.

Cost per qualified lead

—

No grade in this run, so it produced no qualified leads to divide by — add the AI grade to see the cost per qualified lead.

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).

Sample · 100 most engaged contacts

Person match rate
58% · 58 of 100
Grade mix
No grade in this run
Qualified (A or B)
—
Actual spend
$0.02 · $0.0002 a contact
Cost per qualified lead¹
No grade in this run, so the sample shows no cost per qualified lead.

The rest: 60 contacts, 60 through the paid and AI stages — projected $0.01 (the pre-run estimate’s rate: $0.00). Whole run: about $0.03.

Projected = the sample’s actual spend ÷ the sample contacts the paid stages covered × the contacts left after the same filters. The sample is the most engaged contacts, so their lookups may find more (and cost more) than the rest; contacts looked up before are free in both. Qualified = grade A or B.

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).

Stages

StageDoneFoundNo match / skippedErrorsReused freeSpent
Normalise100 / 100100000$0.00
Domain intelligence100 / 10010000100$0.00
Engagement100 / 100100000$0.00
Person match100 / 1005842058$0.02

Fields found, by waterfall step

Each field is filled by the cheapest step that can: the cache and earlier lookups first (free), then the paid step.

  • Mail server (MX) · Domain intelligence100 of 100

    100 via from the cache (free)

  • Company website · Domain intelligence71 of 100

    71 via from the cache (free)

  • Engagement score · Engagement100 of 100

    100 via send counts

  • Name · Person match37 of 100

    37 via already looked up (free)

  • Job title · Person match37 of 100

    37 via already looked up (free)

  • Company · Person match58 of 100

    58 via already looked up (free)

  • Location · Person match37 of 100

    37 via already looked up (free)

All runs · Sample-first demo · Its contacts