sales-skills/sales-enrich

Enrich Contacts & Clean CRM Data

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:

1. 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

2. 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)

3. 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

4. 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-hunter — Hunter.io (Domain Search, Email Finder, Email Verifier)
• /sales-seamless — Seamless.AI (1.8B+ contacts, CRM Enrich, Autopilot)
• /sales-snov — Snov.io (email finder, verifier, multichannel campaigns)
• /sales-brandjet — BrandJet AI platform help — multi-channel outreach, brand intelligence, AI monitoring
• /sales-sendr — Sendr platform help (Data Studio enrichment, Lead Finder 479M+ contacts, personality analysis)
• /sales-leadiq — LeadIQ platform help (Chrome extension prospecting, champion tracking, CRM enrichment, GraphQL API)
• /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:

1. Recommends deduping the list first
2. Filters to records missing emails
3. Sets up batch enrichment in Apollo with email-only scope (save phone credits)
4. 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:

1. Identifies stale data patterns (bounced emails, outdated titles, missing fields)
2. Recommends a phased approach: dedup → prioritize top segments → enrich in batches
3. Sets up an ongoing enrichment schedule to prevent future staleness
4. 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.