Enriches contacts and companies with verified emails, phones, and firmographic data — single-record, batch, and waterfall enrichment with credit optimization. Use when contact data is missing emails or phones, lead records are incomplete or outdated, enrichment credits are burning too fast, you need to enrich a batch of leads before a campaign, or a single enrichment provider isn't catching enough data. Do NOT use for building new prospect lists from scratch (use /sales-prospect-list), interpreting buying signals (use /sales-intent), CRM data hygiene and deduplication (use /sales-data-hygiene), ZoomInfo-specific enrichment config (use /sales-zoominfo), Clearbit/Breeze Intelligence platform help (use /sales-clearbit), RB2B platform help (use /sales-rb2b), 6sense platform help (use /sales-6sense), general Apollo platform help (use /sales-apollo), Clay platform help (use /sales-clay), or LeadMagic platform help (use /sales-leadmagic).
Instrucciones de origen · Vista previa de solo lectura
name
sales-enrich
description
Enriches contacts and companies with verified emails, phones, and firmographic data — single-record, batch, and waterfall enrichment with credit optimization. Use when contact data is missing emails or phones, lead records are incomplete or outdated, enrichment credits are burning too fast, you need to enrich a batch of leads before a campaign, or a single enrichment provider isn't catching enough data. Do NOT use for building new prospect lists from scratch (use /sales-prospect-list), interpreting buying signals (use /sales-intent), CRM data hygiene and deduplication (use /sales-data-hygiene), ZoomInfo-specific enrichment config (use /sales-zoominfo), Clearbit/Breeze Intelligence platform help (use /sales-clearbit), RB2B platform help (use /sales-rb2b), 6sense platform help (use /sales-6sense), general Apollo platform help (use /sales-apollo), Clay platform help (use /sales-clay), or LeadMagic platform help (use /sales-leadmagic).
argument-hint
[describe what data you need — e.g., 'enrich 500 leads with emails' or 'clean up stale CRM contacts']
Help the user enrich contacts and companies with verified data, clean stale CRM records, and optimize their enrichment workflow. This skill is platform-agnostic but references Apollo.io as the primary tool. The same strategies apply to ZoomInfo, Clay, Lusha, Cognism, or any enrichment provider.
Step 1 — Gather context
If references/learnings.md exists, read it first for accumulated knowledge.
Ask the user:
What do you need to do?
A) Enrich a list of contacts with emails/phones
B) Enrich company/account records with firmographic data
C) Clean up stale or incomplete CRM data
D) Set up ongoing auto-enrichment
E) Deduplicate contacts or accounts
F) Verify existing email addresses before a campaign
G) Other — describe it
How many records are involved?
A) Under 100 (manual/one-time)
B) 100-1,000 (batch job)
C) 1,000-10,000 (bulk operation)
D) 10,000+ (large-scale cleanup)
E) Ongoing (continuous enrichment of new records)
What enrichment tool(s) do you have?
A) Apollo.io
B) ZoomInfo
C) Clay
D) Lusha / Cognism
E) Clearbit / Breeze
F) Multiple providers (waterfall)
G) None yet — recommend one
What data do you need?
A) Email addresses (verified/deliverable)
B) Phone numbers (direct/mobile)
C) Both email and phone
D) Firmographic data (company size, revenue, industry, tech stack)
E) All of the above
Step 2 — Enrichment strategy
Choose the right approach based on volume and frequency:
Single-record enrichment
When: Researching a specific prospect, manual prospecting
How: Look up individual records in your enrichment tool or via API
Credit cost: 1 credit per person (email), more for phone numbers
Best for: High-value ABM targets, executive-level contacts
Batch enrichment
When: Enriching a list before launching a campaign
How: Upload CSV or select records in-platform for bulk enrichment
Credit cost: 1 credit per record enriched (plan carefully)
Best for: Campaign prep, list cleaning before outreach
Auto-enrichment
When: Keeping CRM data fresh continuously
How: Set up rules to enrich new records on creation or on a schedule
Credit cost: Ongoing — budget credits monthly
Best for: Teams with steady lead flow who need data quality without manual effort
Waterfall enrichment
When: Single provider doesn't have enough coverage
How: Try Provider A first → if no result, try Provider B → then Provider C
Credit cost: Only pay for successful enrichments at each level
Best for: Maximizing coverage when targeting niche personas or international contacts
Key waterfall providers:
Provider
Strength
Coverage
Clay
Purpose-built waterfall across 150+ providers
Broadest — aggregates multiple sources
Apollo
Email + phone enrichment (waterfall in beta)
275M+ contacts
ZoomInfo
Enterprise-grade firmographic + contact
321M+ contacts
Seamless.AI
Real-time verified emails + mobiles
1.8B+ emails, 414M+ mobiles
Cognism
EMEA/international mobile numbers
Strong EU coverage
Lusha
Quick email + direct dial lookup
100M+ contacts
Hunter.io
Domain search + email finder + verifier
Email-focused, bulk operations
Tomba
Domain search + email finder + bulk enrichment
430M+ indexed emails
Prospeo
5-step email verification + company enrichment
280M+ leads
Snov.io
Email finder + verifier + campaigns
600M+ contacts
For detailed per-provider workflows, API endpoints, and credit economics, see references/platforms.md
Step 3 — Execute the enrichment
Pre-enrichment checklist
Deduplicate first: Remove duplicate records before enriching — don't pay to enrich the same person twice
Filter to qualified records only: Don't enrich contacts you'll never reach out to
Check existing data: Skip records that already have verified emails/phones
Estimate credit cost: Records × credit cost per record. Stay within budget.
Set enrichment scope: Choose which fields to enrich (email only is cheaper than email + phone + firmographic)
For platform-specific enrichment workflows, API endpoints, credit economics, and bulk operation instructions, see references/platforms.md.
Compliance checklist
Before enriching and contacting, verify compliance with data privacy regulations in your target regions:
EU contacts (GDPR):
You have a lawful basis for processing (legitimate interest for B2B outreach is common, but document it)
Your enrichment provider has a GDPR-compliant data sourcing policy (check their DPA)
You can honor right to erasure requests — if someone asks to be deleted, you can remove them from all systems
Your outreach includes a clear way to opt out
You're not enriching personal data beyond what's necessary (data minimization principle)
US contacts (CAN-SPAM):
Every email includes a physical mailing address
Every email includes a working unsubscribe link
Unsubscribe requests are honored within 10 business days
Subject lines are not deceptive
The email is identified as an advertisement (if applicable)
California contacts (CCPA/CPRA):
You provide a "Do Not Sell My Personal Information" option if applicable
You can disclose what personal data you've collected if a consumer requests it
Your enrichment vendor's data collection practices comply with CCPA
General rules:
If someone unsubscribes, suppress them globally — don't re-enrich and re-add them next month
If you're enriching contacts in bulk, check regional distribution first and apply the strictest relevant regulation
Keep a log of where enriched data came from (which provider, when) for audit purposes
Data quality scoring
After enrichment, score your data quality:
Field
Quality level
Action
Email verified + deliverable
High
Ready for outreach
Email found but unverified
Medium
Run through verification tool (NeverBounce, ZeroBounce) before sending
Email not found
Low
Try alternate enrichment provider or find via LinkedIn/company website
Phone — direct/mobile
High
Ready for calling
Phone — HQ/switchboard
Low
Not useful for cold calling — try to find direct line
Step 4 — CRM data hygiene
For stale data identification, deduplication strategy, enrichment schedules, and ongoing data quality automation, use /sales-data-hygiene. That skill covers record matching, merge rules, audit trails, and refresh cadences in detail.
Key rule: Always deduplicate before enriching — don't pay to enrich the same person twice.
Step 5 — Credit optimization
Credit-saving strategies
Enrich only qualified records: Apply ICP filters before enriching — don't waste credits on bad-fit contacts
Check existing data first: Skip records that already have the data you need
Prioritize email over phone: Email credits are typically cheaper. Only reveal phone numbers for contacts you'll actually call.
Use waterfall strategically: Start with the cheapest provider, escalate to premium for high-value targets
Batch over real-time: Bulk enrichment is often more credit-efficient than one-at-a-time
Monitor usage weekly: Set up alerts when you hit 80% of monthly credit budget
For platform-specific credit economics, see the relevant platform skill (/sales-apollo, /sales-zoominfo, /sales-clay, etc.) or references/platforms.md.
Gotchas
Don't enrich before deduplicating. Claude often recommends "enrich everything, then clean up." This wastes credits on duplicate records. Always dedup first, then enrich the clean list.
Don't assume enriched emails are deliverable. Enrichment tools find email addresses — they don't guarantee deliverability. Always run enriched emails through a verification tool (NeverBounce, ZeroBounce, MillionVerifier) before high-volume campaigns. Apollo-reported "verified" emails still bounce at 5-10% rates.
Don't enrich an entire CRM database at once. Claude tends to suggest bulk-enriching everything. This burns through credits fast and enriches records you may never contact. Start with your highest-priority segments and expand.
Don't ignore phone number credit costs. Mobile number reveals are 5-10x more expensive than email reveals in most tools. Only reveal phone numbers for contacts your team will actually call — not the entire list.
Don't set up auto-enrichment without a credit budget cap. Auto-enrichment can burn through an entire month's credits in days if configured too broadly. Set a monthly cap and limit auto-enrichment to new records matching your ICP.
Don't enrich contacts without checking regional compliance. Enriching EU contacts without a lawful basis for processing (GDPR), or emailing US contacts without an unsubscribe link (CAN-SPAM), exposes you to legal risk. See the compliance checklist in Step 3 before enriching in bulk.
Self-improving: If you discover something not covered here, append it to references/learnings.md with today's date.
Before recommending a specific platform skill
This skill covers a strategy domain across many platforms. Before pointing the user to any specific platform skill (any /sales-{platform} listed in ## Related skills, e.g., /sales-mailshake, /sales-klaviyo, /sales-apollo), read that platform skill's actual SKILL.md first. The 1-line description in ## Related skills is enough to identify a candidate — it's not enough to commit to it or to write a prompt that invokes it well.
How to read it:
If ~/.claude/skills/{skill-name}/SKILL.md exists locally, Read it.
For sales-* skills, WebFetch directly from this repo: https://raw.githubusercontent.com/sales-skills/sales/main/skills/{skill-name}/SKILL.md — e.g., for sales-mailshake: https://raw.githubusercontent.com/sales-skills/sales/main/skills/sales-mailshake/SKILL.md.
For non-sales-* skills (third-party), look up {org}/{repo} in ~/.claude/skills/sales-do/references/skill-sources.md if installed and fetch the same skills/{skill-name}/SKILL.md path under that repo.
After reading, ground your recommendation in something concrete from the SKILL.md (its scope, a sub-flow, its argument-hint shape, or a "Do NOT use for..." negative trigger). Align any generated invocation with the platform skill's argument-hint. If the platform skill turns out not to fit the user's situation, swap to another or handle the question here directly rather than recommending a poor fit.
Related skills
/sales-prospect-list — Build the prospect list that you'll then enrich
/sales-intent — Layer buying signals on enriched contacts to prioritize outreach
/sales-cadence — Design the outbound sequence for enriched contacts
/sales-data-hygiene — CRM data quality, deduplication, enrichment automation
/sales-apollo — Apollo.io platform help (enrichment settings, credit management)
/sales-clay — Clay platform help (waterfall enrichment across 150+ providers)
/sales-zoominfo — ZoomInfo platform help (enrichment, intent, OperationsOS)
/sales-clearbit — Clearbit / Breeze Intelligence platform help
/sales-crystal — Crystal (Crystal Knows) platform help — personality enrichment (predicts a prospect's DISC type + communication tips), Chrome extension, Profile API, MCP server
/sales-personality-selling — Personality-based selling strategy: reading DISC/OCEAN to adapt outreach, and choosing between Crystal / Humantic AI / Humanlinker / Happysales
/sales-do — Not sure which skill to use? The router matches any sales objective to the right skill
Examples
Example 1: Pre-campaign enrichment
User says: "I have 500 contacts for a campaign but only 60% have emails. Enrich the rest."
Skill does:
Recommends deduping the list first
Filters to records missing emails
Sets up batch enrichment in Apollo with email-only scope (save phone credits)
Recommends email verification before launching the sequence
Result: List enriched to 85%+ email coverage, verified and ready for outreach
Example 2: CRM data cleanup
User says: "Our Salesforce has 50,000 contacts but half the data is stale. Help me clean it up."
Skill does:
Identifies stale data patterns (bounced emails, outdated titles, missing fields)
Recommends a phased approach: dedup → prioritize top segments → enrich in batches
Sets up an ongoing enrichment schedule to prevent future staleness
Calculates credit budget for the cleanup
Result: Phased CRM hygiene plan with credit-conscious enrichment strategy
Troubleshooting
Low enrichment match rate
Cause: Prospects are in niche industries, use uncommon email domains, or are very senior (C-suite data is harder to find)
Solution: Try waterfall enrichment across multiple providers. For C-suite, try LinkedIn manual lookup or ask for referral introductions instead of cold outreach.
Enriched emails bouncing
Cause: Data provider has stale records, or person recently changed jobs
Solution: Run enriched emails through a dedicated verification service before sending. Set up a feedback loop — when emails bounce, re-enrich or remove the contact.
Credits running out mid-month
Cause: Over-enrichment (enriching too many records or enriching phone numbers unnecessarily)
Solution: Review usage in Settings > Usage. Restrict enrichment to ICP-qualified records only. Limit phone reveals to contacts tagged for calling. Consider upgrading plan if consistently hitting limits.
