Close vs Datanyze: Cross-Category Comparison

Close vs Datanyze: Cross-Category Comparison

Datanyze tops out at 160 credits a month on its published ladder. If your team needs five hundred new contacts a month, no Datanyze plan on that page reaches it at any price, which settles a large part of this comparison before the CRM side is even discussed.

The Short Answer

Buy whichever one closes the gap that is costing you money this quarter, and in a genuine tie buy Close first. A pipeline with thin data still shows you what is happening; a good list with nowhere to record what happened to it decays into a spreadsheet inside a month.

Datanyze and Close do not compete. Datanyze finds and verifies the people, Close keeps track of what happens after they answer, and a team running outbound at volume usually ends up with both.

Why Compare These Two Tools?

Data enrichment tools find and verify contact information, while CRMs organize and track those contacts through the sales process. Teams evaluate whether their CRM's built-in data features are sufficient or if a dedicated enrichment tool delivers better data quality.

Close is a CRM platform focused on customer relationship management. A CRM built specifically for inside sales teams, with built-in calling, SMS, and email functionality. Close focuses on reducing manual data entry and increasing sales velocity with features like Power Dialer, predictive dialing, and workflow automation.

Datanyze is a data enrichment tool focused on B2B lead data and contact enrichment. B2B contact and company data platform (by ZoomInfo) specializing in technographic data and affordable prospecting for SMBs.

Where Each Tool Fits in Your Workflow

1. Step 1Lead sourcing and data

   Datanyze covers B2B lead data and contact enrichment, on a free entry plan.

2. Step 2Pipeline and deal tracking

   Close covers customer relationship management, from $19/mo.

The table above is a category summary rather than a verdict. The two workflow-stage rows are the only ones where these tools differ in kind; the rest, feature counts included, compares two marketing surfaces of different lengths. The starting-price row is the one most often misread: a per-seat CRM price scales with headcount, so five people cost five times one. Datanyze is metered on credits or exports instead, so its cost scales with how many contacts get touched rather than with how many people are logged in.

What Each Side Does in a Cold Outbound Run

Neither of these tools sends cold volume, and that decides what each is for. Datanyze produces a list, Close keeps the history of what happened to it, and the sending sits in a third place.

The house rule is one message per campaign: no bumps, no thread replies, and no second LinkedIn message landing under the one somebody already ignored. That is why list quality carries so much weight. With a single message per prospect there is no follow up to rescue a bad address, so every unusable row is a lost prospect rather than a delayed one.

The deliverability consequence is harder. A wrong address produces a hard bounce, and enough of those damage the sender reputation of the sending domain. Where sending inventory is shared across campaigns that damage is not contained to the campaign that caused it, so list hygiene before a send costs less than repairing a domain after one.

Close covers the other half: replies have to land where a human will see them, and a meeting only counts when it meets criteria agreed in writing before launch. A qualified appointment nobody logged is indistinguishable from one that never happened.

Pricing Comparison

Close Pricing

Billed annually the same four tiers run $9, $35, $99 and $139 per user per month, as published mid-2026.

Source: Close Pricing

Datanyze Pricing

Datanyze's pricing page also shows an annual rate of $21 and $39 a month for the two paid tiers.

Source: Datanyze Pricing

Pricing Context

These two prices are not measuring the same thing. Close charges per seat, so its cost follows headcount, while Datanyze charges for volume, so its cost follows how many contacts get touched. A team can double its Datanyze bill without hiring anybody.

On the CRM side the entry tier is Close's Solo at $19 per seat per month, with a lower rate of $9 per seat per month on annual billing.

What the Pair Costs at a Realistic Team Size

Vendor tables price a seat or a credit. A budget prices a team, so here is the same decision worked end to end. Both inputs are invented for the arithmetic: a team of five that wants roughly 500 new verified contacts a month.

On the CRM side, and on the rate Close's pricing page shows, five seats on Solo at $19 per seat per month comes to $1,140 for the year, or $540 if the same five seats are bought on the $9 annual rate. Those totals are illustrative.

Datanyze is the one place where the illustrative arithmetic stops rather than resolves. Its top published tier, Nyze Pro 2, includes 160 credits a month, so the published ladder does not reach 500 contacts a month at any price. Pro 2 costs $660 for the illustrative year at $55 a month, or $468 on the $39 annual rate, and buys 1,920 credits a year.

Two things fall out of that and neither is about the tools. The billing basis moves more money than the tier choice on most of these ladders, so check whether a published monthly figure is the monthly rate or the annual rate divided by twelve. And the enrichment line is the one that moves with volume, so model it at the volume you intend to send. Against a realistic cost of a booked meeting both lines are usually small, which is why the order of purchase matters more than the total.

Feature Highlights

Close Key Capabilities (CRM Platform)

• Built-in calling with Power Dialer
• Native SMS messaging
• Email sequences and templates
• Automated workflows
• Predictive dialing
• AI Email Assistant
• Pipeline and activity reporting
• Role-based access and permissions

Datanyze Key Capabilities (Data Enrichment Tool)

• Technographic data and insights
• Chrome extension for LinkedIn
• Direct email and phone lookups
• Company and contact profiles
• Icebreaker conversation starters
• Google Chrome extension
• Export to CSV
• Tag and note management
• Company technology stack tracking

Feature Overlap

On this page the two feature lists genuinely do sit in different categories: nothing on Close's list finds a contact who is not already in the system, and nothing on Datanyze's list is a pipeline. State that carefully, because a list difference supports the claim that one vendor lists something and the other does not, and never the claim that only one of them can do it. Feature lists are marketing surfaces kept at different lengths.

Integration Ecosystem

Close Integrations

Close connects with: Zapier, Slack, Gmail, Microsoft Outlook, Zoom, HubSpot, Segment, Calendly.

Datanyze Integrations

Datanyze connects with: Google Chrome, Salesforce, HubSpot.

Shared Integrations

Both tools integrate with: HubSpot. This shared ecosystem means they can work together in your tech stack.

Read a shared-integration list as a plumbing note rather than a recommendation. Two tools in the same directory means a connector exists; it says nothing about which fields it writes or what happens when the two disagree about a value. That is settled in the rollout section below.

When to Choose Close

Choose Close when the pipeline is the part that is failing: replies with nowhere to be logged, next steps depending on somebody remembering, or a manager who cannot tell you what happened to last month's list.

When to Choose Datanyze

Choose CloseCRM Platform, pipeline and deal tracking

• Your biggest gap is in pipeline and deal tracking
• You already have a solid data enrichment tool and need specialized customer relationship management capabilities
• You want an affordable entry point ($19/mo)
• Your team's primary bottleneck is customer relationship management

Choose DatanyzeData Enrichment Tool, lead sourcing and data

• Your biggest gap is in lead sourcing and data
• You already have a CRM platform and need better B2B lead data and contact enrichment
• You want an affordable entry point ($0/mo)
• Your team's primary bottleneck is B2B lead data and contact enrichment

Choose Datanyze when the list is the part that is failing: a large share of rows with no usable contact, employers that are out of date, or a campaign that cannot start because nobody can reach the people on it.

Do You Need Both, and in Which Order?

Two questions decide the order, and both are answerable in an afternoon.

The first is where the work is stopping. Pull fifty rows out of whatever stores your prospects today and count how many carry a usable direct email, a current employer and a title that matches what the person does now. If a large share fail, the data is the bottleneck and Datanyze goes first. If most pass and nobody knows who followed up, Close goes first.

The second is who else has to see it. A CRM is a shared system that survives a rep leaving; enrichment output can live in a spreadsheet for a while without anybody being hurt. That asymmetry is the honest reason to lean toward Close when the two look equally urgent. There is also a case for buying neither yet: a team sending its first few hundred messages a month learns more from the replies than from either tool, and the purchase becomes obvious when the manual version costs a day a week, which is roughly where the credit maths above starts paying for itself.

Before you buy the second one

• ~Depends: Fifty sample rows checked by hand for a usable email, a current employer and a matching title
• ~Depends: More than a third of that sample unusable, which puts Datanyze first
• ~Depends: Replies and meetings currently tracked somewhere shared, which is what Close provides
• ✕No: Field ownership written down before the two systems are connected
• ✕No: Meeting criteria agreed in writing before any campaign launches

Rolling the Second Tool In Without Breaking the First

Adding the second tool is where the pair usually goes wrong, and the failure has one shape: two systems writing the same field with different ideas about what is true.

Decide field ownership before anything is connected. Write down which system owns the email address, the job title, the company name and the phone number, and make the other read-only on those fields. The rule that survives contact with a sales team is that anything a human typed after speaking to somebody outranks anything a vendor fetched.

Set the record matching key before the first sync. Matching on a company name creates duplicates the moment somebody writes Ltd instead of Limited; matching on a domain or an existing record id does not. CRM enrichment writing into a wrongly matched record is harder to unpick than one that wrote nothing.

Then run one segment and read fifty finished records by hand before opening it up. Check coverage as well as accuracy, because the match rate is not something a pricing page will tell you, and agree the refresh cadence while you are there: data decay makes a one-off pass a snapshot with a short life.

1. Week 1Write down who owns which field

   Decide whether Datanyze or Close is authoritative for email, title, company and phone, and make the other read-only on those fields.

2. Week 1Pick the matching key

   Match on domain or an existing record id rather than on company name, which duplicates on Ltd against Limited.

3. Week 2Run one segment

   Push a single campaign's worth of accounts through the new tool and read fifty finished records by hand before widening it.

4. Week 3Measure coverage, not just accuracy

   Record how many of the target accounts got a usable contact at all, which no pricing page will tell you in advance.

5. Week 4Set the refresh cadence

   Contact data goes stale as people move, so agree how often records are re-enriched while the ownership rules are still fresh.

Using Both Together

Many sales teams use both a CRM platform and a data enrichment tool as part of their complete workflow. Close handles pipeline and deal tracking while Datanyze covers lead sourcing and data.

Another angle worth checking is how Datanyze pairs with an outreach platform rather than a CRM, covered in this look at data enrichment and sales engagement.

Since both tools integrate with HubSpot, connecting them in your workflow is straightforward.

The practical version is narrower than it sounds. Datanyze runs before the campaign and produces rows; Close runs after it and keeps what came back. The only place they have to meet is the moment a row becomes a record, and getting that handoff right is most of the value of running the pair. Agree what counts as a meeting at the same time: meetings are qualified against criteria written down before launch rather than judged afterwards.

The Decision Shortcut

If the whole decision has to fit in a sentence: buy the one that closes the gap you can measure, and if both are measurable, buy Close first and add Datanyze at the volume where hand-sourcing starts costing a day a week.

• A pipeline exists and it is full of dead contacts. Buy Datanyze. A second CRM will not fix a data problem.
• A list exists and nobody can tell you what happened to it. Buy Close.
• Neither exists and the budget covers one. Buy Close and source by hand for a quarter.

Whichever order you land on, the money question is smaller than the ordering question. The expensive mistake is paying for a tool whose output has nowhere to go.

How These Figures Were Checked

Every figure on this page comes from the vendor's own pricing page, checked against a dated copy of that page rather than from memory, and each is attributed to the surface it appeared on.

Both vendors' pages were readable, so both ladders reflect what those pages published when they were last read.

The illustrative budget above is arithmetic on those published rates, and the team size and contact volume behind it are invented. Vendors change prices without notice.

Related Reading

• Best Close Alternatives in 2026
• Best Datanyze Alternatives in 2026
• Close vs Salesforce: CRM Platform Comparison
• Close vs HubSpot CRM: CRM Platform Comparison
• Apollo.io vs Datanyze: Data Enrichment Tool Comparison

If you would rather have this run for you, RevenueFlow books qualified meetings on a pay-per-meeting basis and publishes client results.

Pricing and features are taken from the vendors' own pages. Verify current terms with the vendor before relying on them.