Mihaela Cicvaric | September 4, 2026 | 23 min read
Mihaela Cicvaric | September 4, 2026 | 23 min read
Ready to launch?
Convert strategy into pipeline
Launch your first outbound campaign with verified leads, AI sequences, and multichannel outreach from one platform.
Waterfall Enrichment: Complete Guide for B2B Teams in 2026
What is waterfall enrichment
Waterfall enrichment is a B2B data enrichment method that queries multiple data providers in sequence, one after another, until it finds a verified email, phone number, or other contact detail. Instead of trusting a single database and accepting whatever gaps it leaves, you set up a priority order of providers. The system only moves to the next one when the first comes up empty.
The name fits the mechanic. Data flows downward through provider after provider, like water cascading over rocks, until a match turns up or the list of providers runs out.
Here’s the part most teams don’t realize until they test it: no single provider covers your whole list. One might be strong on emails for tech companies but weak on healthcare. Another nails European phone numbers and misses half of North America.
A few fields typically get enriched this way:
- Verified work emails: the backbone of most outbound sequences
- Direct-dial phone numbers: for cold calling, SMS, or WhatsApp outreach
- Job titles and seniority: so you’re pitching the actual decision-maker
- Company firmographics: industry, headcount, revenue, and tech stack for qualification
How waterfall enrichment works step by step
Picture one lead moving through the system. It starts simple: you submit the record with whatever identifying info you have, usually a name and company domain, sometimes a LinkedIn URL. More detail helps, but name plus domain is often enough to get a match.
That record hits the first provider in your sequence. If it returns a valid, verified email or phone number, enrichment stops right there for that field. Done, no need to keep looking.
If the first provider misses, the record falls through to the second, then the third, and so on. This is the actual “waterfall” in action, and it keeps going until something usable turns up or every provider has been tried.
One step gets skipped more often than it should: validation. A returned email isn’t automatically a good email. Solid waterfall tools run a verification check (syntax, DNS/MX lookup, SMTP handshake) before that data ever touches your CRM.
Whatever’s left after all providers are exhausted gets flagged. You can route those to manual research, drop them from the active list, or hold them for later, since provider databases update constantly and today’s miss can be next month’s match.
Tip: Sequence providers by cost or by specialty. If mobile coverage matters most, put the provider with the best mobile data first, even if it’s pricier.
Waterfall enrichment vs. single-source and CRM enrichment
Single-source enrichment means running your list through one provider, like Apollo or Lusha, and living with that provider’s ceiling. It’s fast and simple, which is exactly why so many teams still use it, but your coverage never exceeds what that one database holds.
CRM-native enrichment (HubSpot Breeze, Salesforce) works inside your existing workflow, which is convenient. Depth is usually the tradeoff, particularly for phone numbers, which tend to be thin across most CRM enrichment tools.
Waterfall enrichment combines several providers to close those gaps. More setup on the front end, but the payoff shows up in your match rate.
Single-source | CRM enrichment | Waterfall enrichment | |
|---|---|---|---|
Data coverage | One provider’s database | Varies by CRM vendor | Highest (multiple providers fill gaps) |
Setup complexity | Low | Low (built-in) | Medium |
Cost model | Per-seat or per-record | Bundled with CRM | Per-enriched-record or credits |
Best for | Small, single-region lists | Light enrichment needs | High-volume, global outbound |
Why B2B teams use waterfall enrichment
Coverage is the headline reason, but it’s not the only one. A few things change once you move off a single provider.
- Fewer bounces: running enrichment through multiple verification steps catches bad addresses before you send, which protects your domain reputation.
- Cost control: you can use a premium provider for your priority segment and let cheaper providers pick up the rest, instead of paying top price for every record.
- Better personalization: a full profile (verified title, company size, tech stack) gives reps something real to write about. An enriched record isn’t just a deliverable email. It’s a lead you can actually talk to.
Tradeoffs most waterfall enrichment guides skip
None of this is a free upgrade, and it’s worth being honest about where it gets messy.
First-match bias. The waterfall stops at the first “valid” result, but valid doesn’t always mean good. A technically deliverable email can still land in a catch-all inbox that nobody checks.
Unpredictable credit burn. If your top provider covers a segment poorly, every record in that segment cascades through multiple paid queries. Costs can jump fast on unfamiliar geographies.
Data inconsistency. Different providers format titles, company names, and phone numbers differently. Without normalization rules, your CRM fills up with near-duplicates.
Maintenance overhead. Providers change their APIs and pricing over time, and match rates drift. Someone on your team has to keep an eye on this. It’s not something you set up once and forget.
Sequential vs. parallel waterfall enrichment
Sequential is the classic model: query provider A, then B, then C, stopping the moment you get a valid match. It’s cost-efficient, since you only pay for downstream providers when the upstream ones miss.
Parallel enrichment queries every provider at once and uses a scoring layer to pick the best result. Faster, but you’re paying for every query regardless of whether the first one hit.
Which one fits you probably comes down to what you’re optimizing for:
- Sequential works for cost-sensitive teams running standard email or phone lookups. This covers most use cases.
- Parallel makes sense when speed matters more than credits, or when you want the highest-confidence result across providers for a single field.
How many data providers your waterfall actually needs
More isn’t automatically better here. Adding provider after provider sounds thorough, but the math doesn’t hold up past a certain point.
The first provider typically does the heavy lifting. Each additional one after that adds a smaller lift than the last, while your setup complexity and cost keep climbing.
A workable approach: start with two or three providers covering your main regions and roles. Add a new one only when you can point to a specific gap it closes, like EMEA mobile numbers. If a provider isn’t earning its place, cut it.
How to choose a waterfall enrichment tool
Not every waterfall tool is built the same, so it’s worth checking a few things before you commit.
- Data coverage and field depth: does it enrich just emails, or phone numbers, titles, and firmographics too?
- Verification quality: does it verify in real time, or just hand you whatever the first provider returned?
- Pricing model: per query, per verified result, or per seat, each has different cost implications at scale.
- CRM and outreach integration: enriched data has to land in your CRM and outreach tool without manual CSV shuffling.
- Compliance posture: confirm GDPR and CCPA alignment, since you stay the data controller even when a third party does the enriching.
Best waterfall enrichment tools compared
A quick, honest rundown of where each tool fits.
Clay offers the most flexibility, connecting to a wide range of providers, but you own the setup and orchestration work. Results depend heavily on how you configure it.
Apollo has a large built-in database plus a waterfall feature that checks connected third-party sources when its own data comes up short. A natural fit if you’re already prospecting on Apollo.
FullEnrich and BetterContact are dedicated, single-purpose waterfall tools focused on maximizing email and phone match rates across several premium providers.
lemlist runs waterfall enrichment across 14+ data providers for email and phone, wired directly into multichannel campaigns. There’s no export-import step between finding a contact and reaching out to them. You pay only for verified results, and every match goes through double verification before it ever hits a sequence.
ZoomInfo brings enterprise-grade coverage and bundled intent data, at a price point built for bigger budgets. Cognism leans into European data, particularly verified mobile numbers, which suits EMEA-focused teams.
Tool | Built-in outreach | Pay-per-result | Best for |
|---|---|---|---|
Clay | No | Varies | Full control over enrichment logic |
Apollo | Yes | Partial | Teams already prospecting on Apollo |
FullEnrich | No | Yes | Dedicated enrichment buyers |
lemlist | Yes | Yes | Enrichment and outreach in one place |
ZoomInfo | Partial | No (contract) | Larger budgets |
Cognism | No | Varies | EMEA-focused teams |
How to set up waterfall enrichment for your team
Start by auditing a sample of 500 to 1,000 leads from your CRM to see what’s actually missing, emails, phones, titles. That tells you which provider strengths to prioritize.
From there, pick providers based on your target regions and roles, and order them by expected match rate or cost. Run the sequence on a small batch first. Watch which provider fills which field, and cut anything contributing almost nothing.
Once the match rate looks solid, check it against your bounce rate after a real send. A high match rate that produces bounces means the verification layer isn’t doing its job. From there, connecting the waterfall to your CRM and outreach tool means new leads get enriched automatically, no manual step required.
GDPR and compliance risks with multi-provider enrichment
Querying several providers means sharing prospect data with several third parties, each handling it differently. GDPR permits using professional data for B2B outreach under legitimate interest, as long as the processing stays proportionate and people can opt out easily.
A few practical guardrails:
- Data minimization: enrich only the fields you’ll actually use. Pulling 50 attributes when your sequences use five isn’t proportionate.
- Right to erasure: if a prospect asks to be deleted, that request needs to reach every provider that touched the record.
- Vendor due diligence: some aggregated data sources don’t meet GDPR standards in how they collect data in the first place, so it’s worth checking each provider’s compliance before adding it.
Over to you
Waterfall enrichment solves the exact problem single-provider tools leave behind: gaps. Query enough sources in the right order, and you end up with higher match rates, fewer bounces, and lead profiles worth writing to.
None of that matters if the data just sits in a spreadsheet, though. The real value shows up when enrichment connects straight to outreach, no export, no delay.
Start a 14-day free trial and see what a waterfall does for your own list, no credit card required.
FAQs about waterfall enrichment
What match rate can B2B teams expect from waterfall enrichment?
It depends on your list, target regions, and provider mix. Piloting on a sample before rolling out to your full list gives you a realistic baseline.
It depends on your list, target regions, and provider mix. Piloting on a sample before rolling out to your full list gives you a realistic baseline.
Does waterfall enrichment work for phone numbers or only emails?
It works for any contact field, phone, email, title. Provider strengths shift depending on the field, so your sequence for phone lookups might look different from your email sequence.
It works for any contact field, phone, email, title. Provider strengths shift depending on the field, so your sequence for phone lookups might look different from your email sequence.
How often should teams re-enrich their lead data?
Contact data goes stale as people switch roles and companies. Re-running enrichment on active lists every quarter or so keeps outbound from hitting dead numbers and old titles.
Contact data goes stale as people switch roles and companies. Re-running enrichment on active lists every quarter or so keeps outbound from hitting dead numbers and old titles.
Is waterfall enrichment related to the waterfall software development model?
No, they just share a name. One’s a data methodology for filling contact gaps, the other governs software project phases.
What is waterfall enrichment
Waterfall enrichment is a B2B data enrichment method that queries multiple data providers sequentially until a verified email address, phone number, or other contact detail is found. (Waterfall Enrichment: A Complete Guide for 2026 | FullEnrich) Instead of relying on one vendor’s database and accepting whatever gaps it has, you query providers in a defined priority sequence, using the next provider only when the previous one fails to return a result. The name comes from the cascading structure: data flows down from provider to provider until a match is found or the waterfall runs dry. (What Is Waterfall Enrichment? Why It Beats Single-Source B2B Data)
Why does this matter? Single-source enrichment tools consistently return contact data for between 40 and 60 percent of a standard B2B contact list. (Waterfall Enrichment: A Complete Guide for 2026 | FullEnrich) That means if you’re running a 10,000-lead list through one provider, you’re often left with 4,000 to 6,000 contacts that have no email or phone at all. Those aren’t unfindable prospects. The contacts that come back empty exist in other databases. (Waterfall Enrichment: A Complete Guide for 2026 | FullEnrich)
The fields most commonly enriched through a waterfall include:
- Verified work emails: The primary use case, since email is still the backbone of outbound outreach
- Direct-dial phone numbers: Mobile and direct lines for cold calling, WhatsApp, or SMS
- Job titles and seniority: Current role, department, and management level for targeting the right buyer
- Company firmographics: Industry, headcount, revenue, tech stack, and funding stage for account qualification
How waterfall enrichment works step by step
The process is straightforward once you see it in motion. Let’s walk through what happens to a single lead record as it moves through a waterfall.
1. Submit the record with identifying info
The contact is submitted with whatever identifying information is available: name and company domain, LinkedIn URL, phone number, or a combination. More identifying information improves match confidence, but a name and domain alone is typically sufficient. (Waterfall Enrichment: A Complete Guide for 2026 | FullEnrich)
2. Query the first provider
The waterfall system sends the contact to the first provider in its sequence. The provider searches its database and returns either a result or no result. (Waterfall Enrichment: A Complete Guide for 2026 | FullEnrich) If a valid result comes back (say, a verified email), enrichment stops for that field. Done.
3. Fall through to the next provider on a miss
If the primary source doesn’t fill in all the data gaps, the system moves to a secondary provider, and so on. This process continues until the data is complete or all designated sources have been queried. (Waterfall Data Enrichment: Pros & Cons [2026])
4. Validate the result
This is where many teams skip a step. A returned email isn’t necessarily a good email. The best waterfall systems run verification (syntax check, DNS/MX lookup, SMTP handshake) before writing the result back to your CRM or outreach tool. Without this, you’re trusting whichever provider happened to respond first.
5. Flag or remove dead ends
Records that no provider could enrich get flagged. You can route them to manual research, remove them from your active list, or revisit them later when provider databases update.
Tip: Teams typically sequence providers by cost (cheapest first) or by data-type specialization. For example, a provider strong on mobile numbers might be placed ahead of one strong on emails when mobile coverage is the priority field. (Waterfall Enrichment: How It Works and When to Use It)
Waterfall enrichment vs. single-source and CRM enrichment
If you’re evaluating waterfall enrichment for the first time, you’re probably comparing it against what you already use. Here’s how the approaches stack up.
Single-source enrichment means running your lead list through one data provider (Apollo, ZoomInfo, Lusha, etc.). It’s simple and fast, but your coverage ceiling is that provider’s database. Single-source tools typically cap out at 50–70% match rates. ([1,000 Leads Tested] 11 Data Enrichment Tools, 2026 | Cleanlist)
CRM enrichment is built into tools like HubSpot (Breeze) or Salesforce. Convenient because it works inside your existing workflow, but coverage on contact-level fields (especially phone numbers) tends to be shallow.
Waterfall enrichment combines multiple providers in sequence. It addresses coverage gaps by combining multiple providers to achieve aggregate coverage of 70–90%. (What is Waterfall Enrichment? Guide | Autobound) More setup, but meaningfully better data.
Single-source | CRM enrichment | Waterfall enrichment | |
|---|---|---|---|
Data coverage | One provider’s database | Varies by CRM vendor | Highest (multiple providers fill gaps) |
Setup complexity | Low | Low (built in) | Medium |
Typical email find rate | 50–70% | Often basic | 70–90% |
Cost model | Per-seat or per-record | Bundled with CRM | Per-enriched-record or credits |
Best for | Small lists, single-region teams | Teams with light enrichment needs | High-volume outbound, global lead lists |
Why B2B teams use waterfall enrichment
The core reason is simple: no single data provider covers every contact or company. One vendor might have strong email coverage for tech companies but weaker phone data for healthcare. Another might excel at European contacts but miss North American records. (Waterfall Enrichment: How It Works and When to Use It)
But coverage is only part of the story. Here’s what else changes when you switch from single-source to waterfall.
Lower bounce rates. Teams running single-source enrichment report bounce rates on outbound email sequences between 8% and 15%, which damages sender domain reputation and reduces inbox delivery rates for all future sends. (What Is Waterfall Enrichment? Why It Beats Single-Source B2B Data) Multi-step verification during the waterfall catches bad addresses before you send.
Cost control through sequencing. Rather than paying premium prices for one provider’s best-in-class data on the 55% of records they cover, waterfall enrichment lets you use a primary provider for most records and fall through to secondary (often cheaper) providers for the remainder. (What is Waterfall Enrichment? Guide | Autobound)
Better personalization. More complete lead profiles (verified title, company size, tech stack) give your reps context for relevant first lines instead of generic templates. An enriched record isn’t just a deliverable email. It’s a lead you can actually write to.
Tradeoffs most waterfall enrichment guides skip
Waterfall enrichment isn’t a free upgrade. Here’s what to watch for.
First-match bias. The waterfall stops at the first “valid” result, but not all verification is equal. A technically deliverable email can still be a catch-all inbox or shared alias. In one benchmark of 20,000 contacts, a waterfall tool showed an 11.2% unusable email rate. This highlights both the benefits and the risks of relying on a waterfall model: while coverage is expanded, data consistency and accuracy remain exposed to the weaknesses of its upstream sources. (Email Finder Benchmark 2025: 15 Tools Put to the Test on 20,000 Contacts)
Unpredictable credit burn. If your first provider has poor coverage for a particular segment, every record cascades through multiple paid queries. Costs can spike on unfamiliar geographies or industries.
Data inconsistency. Different providers may return conflicting job titles, company names, or phone formats. Without normalization rules, your CRM gets cluttered with duplicates and mismatches.
Maintenance overhead. Providers change APIs, pricing, and data quality over time. Someone on your team has to monitor match rates per provider and re-sequence periodically. This is not set-and-forget.
Sequential vs. parallel waterfall enrichment
Most waterfall enrichment works sequentially: query Provider A, then B, then C, stopping at the first valid match. This is the classic model, and it’s cost-efficient because you only burn credits on downstream providers when upstream ones miss.
Most teams historically combine two to four providers in sequential waterfalls to balance coverage and cost. However, parallel enrichment models remove much of that complexity by consolidating vendors into a single intelligent engine. (10 Best Waterfall Enrichment Tools of 2026) In a parallel waterfall, all providers are queried at once, and a scoring layer picks the best result.
When does each approach make sense?
- Sequential: You’re cost-sensitive and running straightforward email or phone lookups. This is most teams.
- Parallel: You need speed or want a “best of” result across providers for the same field (e.g., highest confidence phone number). Faster, but burns more credits per record.
How many data providers your waterfall actually needs
More providers doesn’t always mean better results. In one European B2B test, the first provider found 55% of the cleaned list; a three-step waterfall raised cumulative coverage to 85%. (Email Waterfall Enrichment Guide: How to Push Your Find Rate From 50% to 85%+) That’s a big jump from one to three, but the fourth, fifth, and sixth providers tend to contribute smaller and smaller incremental lifts.
The practical framework: start with two or three providers that cover your primary regions and job functions. Add a provider only when you can measure it closing a specific gap (say, EMEA phone numbers or SMB contacts). Each additional provider adds cost and complexity, so the question isn’t “how many can I add?” but “does this one pull its weight?”
How to choose a waterfall enrichment tool
Not all waterfall tools are built the same. Here’s what to evaluate before committing.
- Data coverage and field depth: Does the tool connect to enough providers to cover your target regions and industries? Check whether it enriches only emails or also phone numbers, titles, and firmographics.
- Verification quality: Does the tool verify results in real time, or does it just return the first match? Look for built-in email verification and, ideally, a confidence score per result.
- Pricing model: Understand whether you pay per query, per verified result, or per seat. “Pay only for valid results” models reduce waste but may have higher per-unit costs.
- CRM and outreach integration: The enriched data has to flow into your CRM (HubSpot, Salesforce) and outreach tool without manual CSV exports. Native integrations save hours.
- Compliance posture: Confirm the tool complies with GDPR, CCPA, and any regional data regulations relevant to your prospects. Even if you outsource enrichment to a third-party provider, you remain the data controller responsible for how personal data is ultimately processed. You have to verify that each provider in your waterfall collects data with a valid legal basis. (B2B Waterfall Enrichment: How to Combine Multiple Sources [2026])
Best waterfall enrichment tools compared
Here’s an honest look at the main options. Each tool has a different sweet spot.
Clay is popular for building custom enrichment workflows with dozens of provider integrations. Clay offers the most flexible waterfall (rated 3 out of 3 in one benchmark, with 100+ providers). (Data Enrichment in 2026: Waterfall vs. Real-Time Compared) The tradeoff is that you own the setup and orchestration work. Clay’s accuracy depends on which providers you configure in your waterfall. Results vary significantly based on setup. ([1,000 Leads Tested] 11 Data Enrichment Tools, 2026 | Cleanlist)
Apollo has a large B2B database with a built-in waterfall feature. While Apollo provides industry-leading data coverage and quality, waterfall enrichment gives you even broader data coverage through third-party data sources. If Apollo doesn’t have the contact information you need, waterfall enrichment automatically checks your connected third-party data sources, in the order you define. (Waterfall Enrichment Overview – Apollo)
FullEnrich is a dedicated waterfall enrichment tool focused on maximizing email and phone match rates across multiple premium providers. Straightforward, single-purpose.
BetterContact specializes in multi-provider waterfall for contact data, with a clean interface and pay-per-result pricing.
lemlist runs waterfall enrichment across 14+ data providers for both email and phone, connected directly to multichannel outreach campaigns. There’s no export/import step between enrichment and sending. You pay only for verified results (roughly $5 per 100 verified emails), and every result goes through a double-verification layer before hitting your campaign. If your goal is to go from a lead list to live outreach in one workflow, this is the tool built for that motion.
ZoomInfo is the enterprise-grade option with broad coverage and bundled intent data. Higher price point (typically $15,000+/year), but deep if your budget supports it.
Cognism is strong in European data and phone-verified mobile numbers, which makes it a good fit for EMEA-focused teams.
Tool | Built-in outreach | Pay-per-result | Best for |
|---|---|---|---|
Clay | No (workflow builder) | Varies by provider | Teams wanting full control over enrichment logic |
Apollo | Yes | Partial | Prospecting-first teams on Apollo |
FullEnrich | No | Yes | Dedicated enrichment buyers |
BetterContact | No | Yes | Simple waterfall, contact data only |
lemlist | Yes (multichannel) | Yes | Teams wanting enrichment and outreach in one place |
ZoomInfo | Partial | No (contract) | Enterprise orgs with large budgets |
Cognism | No | Varies | EMEA-focused teams needing verified mobiles |
How to set up waterfall enrichment for your team
1. Audit your current data gaps
Pull a sample of 500 to 1,000 leads from your CRM. Check what percentage is missing emails, phones, or titles. This tells you which fields to prioritize and which provider strengths to look for.
2. Pick your providers and set the sequence
Choose providers based on your target regions and job functions, then order them by expected match rate or cost (see the evaluation criteria above). The core insight is straightforward: B2B data provider databases barely overlap. One provider might be excellent for tech profiles in North America, another for European SMBs, a third for direct-dial phone numbers. None of them cover everything. (B2B Waterfall Enrichment: How to Combine Multiple Sources [2026])
3. Run a pilot on a small batch
Test your waterfall on a few hundred records before scaling. Track which provider fills each field so you can see where the value comes from. If one provider contributes almost nothing, cut it.
4. Measure match rates against bounce rates
A high match rate means nothing if the data bounces. After your first campaign send, compare your email find rate against actual bounce rates to confirm the verification layer is working. A healthy target is under 2% bounces per send.
5. Scale and automate
Once validated, connect the waterfall to your CRM and outreach tool so new leads are enriched automatically. In lemlist, this happens natively: leads uploaded or generated from the database are enriched and pushed into campaigns in the same workflow.
GDPR and compliance risks with multi-provider enrichment
Querying multiple data providers means sharing prospect data with multiple third parties, each with its own data processing practices. GDPR allows the use of professional data for B2B prospecting under the legitimate interest basis, provided the processing is proportionate, individuals can easily opt out, and only professional data is used (work email, not personal email). (B2B Waterfall Enrichment: How to Combine Multiple Sources [2026])
A few things to get right:
- Data minimization: Only enrich the fields you actually need. Enriching 50 attributes per contact when you only use 5 in your sequences isn’t in line with the data minimization principle. (B2B Waterfall Enrichment: How to Combine Multiple Sources [2026])
- Right to erasure: If a prospect requests deletion, make sure the request propagates to all providers that touched the record.
- Vendor due diligence: Some aggregated data sources don’t meet GDPR requirements in their collection methods. (B2B Waterfall Enrichment: How to Combine Multiple Sources [2026]) Review each provider’s compliance status before adding them to your waterfall.
Over to you
Waterfall enrichment fixes the gap that every single-provider tool leaves behind. By querying multiple data sources in sequence, you get higher match rates, fewer bounces, and richer lead profiles for personalization.
The real unlock, though, is connecting enriched data directly to outreach. Data sitting in a spreadsheet doesn’t book meetings. If you want to see the difference a waterfall makes on your own lead list, try running one inside lemlist, where enrichment, verification, and multichannel campaigns all happen in the same place.
Start a 14-day free trial — no credit card required.
FAQs about waterfall enrichment
What match rate can B2B teams expect from waterfall enrichment?
It depends on your lead list, target regions, and the providers in your waterfall. Each provider covers the gaps of the one before it, producing match rates of 80% or above on typical lists compared to the 40 to 60 percent ceiling of single-source tools. (Waterfall Enrichment: A Complete Guide for 2026 | FullEnrich) Your results will vary by segment, so always pilot on a sample first.
Does waterfall enrichment work for phone numbers or only emails?
Waterfall enrichment works for any contact field, including direct-dial phone numbers, mobile numbers, and job titles. The provider sequence may differ for phone versus email lookups, since providers have different strengths across field types. In one benchmark, single-source databases returned 70–80% email but only 30–60% phone on the same 500 leads. ([1,000 Leads Tested] 11 Data Enrichment Tools, 2026 | Cleanlist)
How often do B2B teams re-enrich their lead data?
According to HubSpot’s Database Decay Simulation, based on MarketingSherpa research, B2B contact databases decay at a rate of 2.1% per month, compounding to 22.5% per year. (B2B contact data decays faster than you think : here is the evidence - Airscale | Scale your growth with better data) Re-enriching your active lead lists every quarter keeps your outbound from hitting dead ends.
What is the difference between waterfall enrichment and the waterfall development model?
Waterfall enrichment is a B2B data methodology that queries multiple data providers to fill gaps in contact and company records. This is distinct from the waterfall software development lifecycle model, which governs project phases, not data pipelines. (Waterfall Enrichment: How It Works and When to Use It) They share a name but are unrelated.
Content Marketing Manager @lemlist
Share this post