5 Best Data Enrichment Tools for Local Lead Generation

TL;DR

• I tested and compared the top data enrichment tools popular on Reddit.
• Criteria: accuracy, integration, ease of use, scalability, and pricing. 
• Top picks include Clay, Apollo, Kaspr, Fullenrich, Lusha
  

If you know that 25–30% of B2B data becomes outdated every year, you’re probably in a hurry to find the best data enrichment tool.

But you already know it’s not easy! 

There are way too many tools claiming to be “The best” and it’s easy to get lost.

So, how do you pick a data enrichment tool that actually works for you?

I tested and compared the top data enrichment platforms that marketers and sales teams rely on (and popular on reddit.)

I've shortlisted the 5 best data enrichment tools for local lead generation.

But first, let’s talk about the basics:

What is data enrichment?

Data enrichment means taking a basic lead (name, company, location) and adding the missing context, so it’s useful for outreach and routing. 

Missing context can be, direct dial, title/seniority, company size/industry, city/state/country, and a quick local proof point (e.g., rating + review count).

For example: You’ve got a list of independent clinics in Denver from a local association.

Enrichment can get you their email, phone number, the clinic’s address, social profiles, patient ratings, so first contact is relevant. 

Why does data enrichment matter for local lead generation?

Here’s  why it’s really important:

The first thing is, it gives your sales reps a better context on their ideal customer.

That really matters because, let’s say you’re doing email outreach, Personalized emails based on behavior get 152% higher click-through rates.

The more context reps have, the easier it is to personalize from prospecting to closing, and that usually means more deals. 

The other is Segmentation.

Segmentation helps identify and prioritize leads based on industry, size, or location

You can group leads by engagement level, activity, or even how they’ve interacted with past campaigns.

What is a data enrichment tool?

A data enrichment tool adds missing information to leads or accounts, like role, phone, buying intent, or location.

They plug into your CRM, detect gaps, and pull fresh data from external sources to fill those blanks.

How do you use data enrichment tools?

There are basically two ways you can run data enrichment. 

The first is the “0-click” route: 

This one’s all about automation. The enrichment tool connects directly with your CRM, listening for new or updated records in real time.

When a new contact or company gets added, the system instantly pulls extra data, like job titles, emails, and company info, without anyone lifting a finger.

The second is the manual/CSV.

You export a list, enrich it elsewhere, and import it back into the CRM. Slower? Sure. But it’s perfect for small batches, pilots, or when you don’t (yet) have a native sync.

Basically, the process looks like this;

But before you go on lead enrichment, you actually need leads to enrich. and that's what we're going to see next.

How to find leads for local lead generation?

Even though there are multiple ways to find lead for lead generation, I’m going to focus on the targeted approach. 

👉 Here’s a full guide on the top 5 Local Lead Generation Strategies

So what do I mean by a targeted approach? 

It’s when you don’t wait for leads to find you, instead you go directly to them, through Email, calls, LinkedIn, whatever gets replies.

But to do that, you need to have a list of contact data. 

It can be pulling data from google maps listings, where businesses often leave emails and phone numbers in plain sight.

Or you can use lead generation tools like Spherescout for that, to find leads quickly. 

What is SphereScout?

SphereScout is a B2B local lead generation platform built for one thing: giving you local business contacts at scale. 

What does it do?

You can get access to 200+ million local business contacts around the world with business contacts like emails, phone numbers, socials, business names, etc.

You can even get a list of all the professionals in a certain region, such as lawyers, accountants, and CPAs.

You can filter, search, and export leads (contacts) to use in sales, outreach, marketing campaigns, CRM import, etc. 

The data is periodically refreshed (monthly) to maintain accuracy. 

Example Use cases

• A tax consultant can target small business tax firms in Texas for local collaborations.
• A CPA firm can pull verified accounting offices across Tennessee for partnership outreach.
• A legal advisor can find every corporate law firm in Georgia for B2B services.
• An architectural consultant can instantly find every architecture firm in California.

Here’s a practical example;

Let’s say you’re trying to reach tax consultants in Texas.

You can just open SphereScout, type in “Tax Consultant” as the category, and set the location filter to Texas. 

You can even narrow it down to a specific county.

You can also hit `More Filters` to pull only businesses with websites, phone numbers, or social media pages.

Once that’s set, you click Search Leads and within seconds, you’ve got a list of tax consultants right there.

You can drop that list into your CRM and enrichment tool.
Pricing:

• Free plan gives you 100 leads for free every month
• $3 per 1k leads
• At scale, price drops to $1 per 1k leads

Ok, now we need to make the data more complete, and add missing info using data enrichment tools. 

But finding the tool that works for you is not that simple and you already know that. 

In the next section I'll show you how you can do that.

How to choose a data enrichment tool?

If you’re like me, you probably Googled for “Best data enrichment tools.” 

I was kind of disappointed after I searched for that on Google. I mean what is going on? Most of the articles are just shallow. 

It doesn’t show the real pain points of users. Most of them don't even show user reviews on the tools. 

They list features and praise each tool. It lacks depth on why it is the best tool.

So I reviewed multiple Reddit threads, user discussions, and verified reviews, to see real pain points of users. 

Surprisingly, the same challenges came up repeatedly. And they are:

• Accuracy
• CRM Integrations
• Ease of use
• Pricing
• Scalability

So I did tests on a few of them, to check the accuracy. 

And since I'm on a free trial, most tools didn’t allow me to fully experience the capabilities of the tools. So I also checked real user reviews on G2.

Regarding integration with CRM, I checked out what the tools offer and read user reviews. 

For ease of use, I used the one-click-access rule. It means the key features of a tool must be one click away from the dashboard. 

I also tested how easy it is to onboard and launch a tool.

I based pricing on 1,000 enrichments, combining average credits needed for phone and email per contact across platforms with different credit systems.

Then, I multiplied total credits by the cost per credit using each tool’s most popular pricing tier to ensure fair comparison.

And to review the scalability, I compared how each platform handles volume at scale. 

And to do that, I reviewed the maximum list of rows that each tool enriches per month with the highest pricing tiers. 

So based on these factors, let’s see how my shortlisted tools performed.

Best Data Enrichment tools of 2025

Here are the top 5 best data enrichment tools of 2025.

Clay 

Rating: 4.8/5 (172)

Clay is a data enrichment and sales automation platform. 

It allows you to add missing info about people/companies from multiple data sources and lets you build custom workflows to do it your way.

Accuracy

To start with Accuracy, i didn’t test but i checked what users say on G2. and turns out users really appreciate it’s accuracy. 

Users also mention how they liked the waterfall enrichment feature. 

It’s actually a nice thing to assure accuracy. I also believe cross referencing information from different sources helps ensure accuracy. 

Integrations

For CRMs, it integrates with most CRM including, Hubspot, Salesforce, Pipedrive, Close, Loxo, and more. 

Ease of use

And regarding the ease of use, first of all the onboarding was so smooth. And it’s easy to spot what you want to do with it.

The AI copilot is also a help. I tried it after onboarding, it gave me a direction on the conditions i want to run without writing the formula. 

However, when I imported 100 row csv data to clay. Interestingly, it took more than 40 seconds to import it. 

Makes me wonder, if it was thousands of rows, it’d probably be too slow.

Scalability

Another thing I tried to check was the scalability. I tried to check if there is a limitation on the number of rows it enriches. 

And I found a community member saying that it can let you enrich up to 50k rows in a table.

Pricing

• 100 free credits per month and 1K credits for 14 days free trial.
• Approx $540 per 1k enrichment

Credit usage varies by data provider. So I used the average credit cost for phone + email.

The pricing reference used here is based on the Explorer plan. 

Clay seems to be expensive though. And most users also say that it is expensive. 

My take on Clay

I guess I get why it’s popular on reddit. The waterfall enrichment makes it very accurate. 

The user interface is so clean and intuitive in a way (beginner friendly, even though some users might disagree on it.)

The AI enrichment is also a cool thing. Most users also praise that feature, it makes the data enrichment process so easy.

But I think it is kind of a rip-off. And one of the most common reviews I saw on G2 was that it's expensive. 

One last thing, I have seen reviewers claim they have bad customer support too. That’s not a good sign for  me.

If you rely on different CRMs, this tool is for you! It has multiple integration options. 

If you have so many rows of data to enrich and are looking for a scalable, and reliable tool this is for you.

Apollo

Rating: 4.7/5 (9171)

Apollo.io is an all-in-one sales intelligence and outreach platform.

Apollo simplifies prospecting by providing verified lead data and built-in outreach tools, reducing time spent switching between platforms.

Accuracy

From what I’ve seen, data accuracy is a miss, users mention outdated or incomplete contacts, which means you’ll need a verification tool before outreach. 

Its data coverage also leans heavily toward U.S. markets, so it’s less useful for global targeting.

But one nice update from Apollo is the new waterfall enrichment feature, it should help improve data accuracy and fill in missing contact details.

Integration

Compared to Clay, the integration options are more limited. 

However, the existing CRM and marketing integrations perform reliably. I have not seen any integration complaints on user reviews.

Ease of use 

On the usability side, the onboarding felt clunky. I tried the AI Assistant, if I could get guidance

Turns out, it’s a coming soon feature. 

As a first time user it’s not quite “one-click” simple.

Scalability

In terms of scalability, I haven’t tested upload speed yet, but Apollo allows bulk uploads of up to 100k rows, which is solid for big teams.

Another thing I wanted to check was the maximum data enrichment capability. And I can’t say this is the maximum limit but this is actually a large number.

Pricing

• 100 free credits per month and 4K credits per user for 14 days free trial.
• Approx $220 per 1k enrichment

The pricing feels reasonable for 1k enrichment, probably why there aren’t many complaints about it from users. 

The credit cost to enrich a phone number + email is 9. 

My Take on Apollo 

The new enrichment feature is one thing to assure accuracy. I preferred clay regarding ease of use. Even though Apollo has fair pricing.

Concerns about data security and privacy is a big turn off.

If your contacts are U.S based, this tool is  for you!

Plus If you are planning to enrich a lot of contacts, you may like this one.

FullEnrich

Rating: 4.8/5 (128)

FullEnrich is a B2B contact enrichment platform that helps users find verified emails and phone numbers. 

Accuracy

The most popular thing reddit users say about this tool was its accuracy. So i had to check user reviews on G2. and this is what i found.

I believe that the main reason behind the accuracy is the “Waterfall Enrichment” system, and the “triple email verification system.”

If it can give you a 90% accuracy in searches, then it’s a green flag.

Integration

FullEnrich integrates with several tools across workflow, CRM, and outreach platforms, covering most basic automation and syncing needs.

It also supports no-code workflows, making it flexible for teams that want to automate without technical setup.

However, CRM integrations remain limited. Which can be a drawback for teams managing larger or multi-CRM setups. 

Ease of use

The next thing I tried to check  was the ease of use. And everything about this was so nice. 

Every feature was one click away, and it was so intuitive and so simple. 

I also noticed plenty of user praise for its simplicity and ease of use, with many noting enrichment is completed within just seconds. 

Ease of use for FullEnrich was a check, so I moved on to test its scalability.

Scalability

One thing I noticed regarding the scalability is, FullEnrich is not a scalable tool. 

The maximum number of rows you can upload in a single batch is 100 contacts. That’s a turn off. 

Pricing

• No free trial
• Approximately $605 per 1k enrichment

The credits cost to enrich phone number + email is 11. 

The pricing is high. It will limit accessibility for smaller teams.

My take on Fullenrich

The triple verification and waterfall enrichment really stand out. They make data accuracy reliable and consistent.

The platform itself is simple, fast, and the dashboard is clean and easy to use.

That said, the pricing, it literally costs an arm and leg. I say it’s  expensive. 

If you only want accuracy with a mid-small list of contacts this is the tool. 

However, if you are managing multi-CRM setup, this might not be the tool you’re looking for. 

Kaspr

Rating: 4.4/5 (828)

Kaspr lets you instantly retrieve the contact details (emails, phone numbers, business info) of prospects you find on LinkedIn or in LinkedIn Sales Navigator.

Accuracy

Kaspr is very accurate in getting email addresses. However, most users complain about inconsistencies in phone number enrichment.

Integration

Kaspr natively connects with top CRMs including HubSpot, Salesforce, and others, allowing easy enrichment within existing sales workflows.

But compared to the others, the number of integrations are low. 

Ease of use

Kaspr is incredibly user-friendly. I saw that everyone was complimenting the user interface, which is quite simple to understand. 

And also the Chrome extension makes extracting LinkedIn data quick.

Scalability

I can’t say it’s a scalable tool to be honest. 

You can enrich up to 10k phone numbers and email per month (10 launches per month, each with 1,000 contacts) without needing a custom plan. 

Pricing

• Offers free trial
• It cost about €450-€500 per 1k enrichments

Kaspr provides 200 credits for both direct email and phone calls. 

The credit required to enrich email and phone costs one credit each. However, you can buy add-on phone credits or direct email credits, based on your need. 

My take on Kaspr

There aren't many free credits. It would be great to get at least ten free credits.

You can run out of credits quickly and the add-on credits are really expensive.

The scalability is not built for big enterprises.

However, if your leads are on LinkedIn, you rely on email outreach, and enrich under 10k contacts/month then this is the tool for you!

Lusha

Rating: 4.3/5 (1551)

Lusha helps you find verified emails, phone numbers, and company information for millions of professionals around the world.

Accuracy

I have to say lusha’s accuracy seems off based on what i saw on user review. Most of them complain about it. And data coverage appears narrower for niche markets.

In addition, data accuracy isn’t consistent across regions. 

It seems to perform slightly better in European regions than the U.S.-based contacts.

Integrations

While it connects with major CRMs, Lusha’s overall integration list is smaller compared to competitors.

This limits broader workflow automation options. 

Ease of use

So I tried to sign up to Lusha with my personal gmail address like I did for the rest of them and the onboarding was harsh! 

I still have no clue why it didn’t sign me in. So I went to see the reviews. 

From the reviews I saw, Lusha scores high on ease of use. 

Most users praise its Chrome extension for being quick and intuitive.

However, the lack of a drag-and-drop option makes some tasks slower.

Scalability

The Premium plan caps at 500 rows per file, so it’s great for smaller enrichment batches but not ideal for larger datasets. 

Pricing

• Free trial with 40 credits/month
• Approximately $700 per 1k enrichment

The credit required to enrich Phone number + email is 6.

My take on Lusha

This is too expensive! Like really.

Its accuracy is not cool either.

Scalability vs price is not fair. 

However, If you want to enrich a small-mid list of contact information, and your contacts are in Europe, this tool can provide reliable data enrichment.

FAQ

What is the best data enrichment tool?

It depends on your needs. If you’re going for accuracy with scalability, Clay is good for you. Apollo excel in automation and API-based enrichment. For data quality in Europe, go for Kaspr. 

FullEnrich also focuses on data quality and validation accuracy, but for start ups maybe, not scalable. 

Lusha a go for a small-mid list of business contact information based in Europe.

What is an example of data enrichment?

Adding missing emails, phone numbers, and job titles to your existing B2B data is a typical example. You can also enrich decision-maker profiles with company size, industry, or location data.

What is an example of data enhancement?

Data enhancement goes a step further by attaching behavioral signals, intent data, or engagement metrics to leads. For example, enriching a customer profile with purchase history or technographic stack.

What is the difference between data enrichment and data enhancement?

Data enrichment adds missing or updated details like contact info or company attributes, while enhancement improves depth and context like integrating demographic, firmographic, or intent data for better targeting.

What is the difference between data enrichment and data cleansing?

Data enrichment adds new and relevant data; data cleansing removes outdated, duplicate, or inaccurate records, ensuring your CRM database maintains high-quality and accurate information.

How does B2B data enrichment improve lead scoring?

By combining firmographic, technographic, and behavioral data, enrichment tools help refine lead scoring models, which improves your targeting and increases conversion rates.

Is data enrichment GDPR compliant?

The listed enrichment services (Clay, Apollo, FullEnrich, and Lusha) comply with GDPR and privacy laws by sourcing publicly available data and offering secure API integrations that respect consent frameworks.

However, Kaspr operates under GDPR’s legitimate interest basis, processing business contact data for sales or prospecting without needing explicit consent.

How do data enrichment APIs work?

APIs connect your CRM or app directly to an enrichment service, automatically retrieving data points like verified emails or phone numbers, reducing manual work and keeping data updated in real time.

Conclusion

And that’s a wrap on the best data enrichment tools for local lead generation. 

All of the tools except FullEnrich provide a free trial. You can test them out and see what suits you.