MailMoo
Using MailMoo

Lead data

Find prospects, import your own lists, and enrich them into something you can personalize against.

Everything downstream depends on this. A sequence can only be as specific as the data behind it, and the difference between a message that gets replies and one that gets ignored is usually a field you did or did not bother to fill in.

Lead Finder

Lead Finder searches for people matching a profile you describe: role, seniority, company size, industry, location, and similar attributes. Build a search, review the matches, and save the ones worth keeping into your workspace.

Start narrower than feels comfortable. A tight list of 50 people who genuinely match is worth more than 5,000 who loosely do, and it costs far less to enrich.

Importing your own lists

If you already have leads, upload a CSV from Get Leads and map your columns onto MailMoo fields. Full detail, including what to export from another tool and how to migrate an in-flight campaign, is in Importing Leads & Migration.

Imported and discovered leads behave identically from here on.

Enrichment

Enrichment fills in what your list is missing: company details, role information, and the firmographic fields your filters and messages reference.

Enrichment consumes credits, so enrich deliberately:

  • Enrich after filtering, not before. There is no point paying to learn about leads you are about to remove.
  • Enrich the fields you will actually use. If your message never mentions headcount, you do not need headcount.

AI columns

An AI column is a question you write once and MailMoo answers for every lead in the list. For example:

  • "What does this company sell, in one sentence?"
  • "Has this person posted about hiring recently?"
  • "What is the most likely reason they'd care about our product?"

This is the highest-leverage personalization tool in the product, because the answer is specific to the person and you can reference it directly in a message.

Two rules make them work:

  1. Ask one thing per column. Compound questions produce mush.
  2. Ask what your opening line depends on. A column you never reference is just spend.

Test an AI column on a handful of leads before running it across a large list. If the answers are vague, the question is the problem, and it is cheaper to find out at ten rows than at ten thousand.

Scoring

Scoring ranks your list by fit so you can sequence the strongest leads first rather than treating every row identically. It is most useful on large imported lists where quality is uneven. Sort by score, sequence the top of the list, and decide whether the tail is worth the credits.

A sensible order of operations

  1. Build or import the list.
  2. Filter hard, before spending anything.
  3. Enrich the fields you need.
  4. Add one or two AI columns your message will actually use.
  5. Score, and sequence the top.

From here, the list is ready for Sales content and Sequences.

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