CRM Software Examples

Updated September 2026 · Written and maintained by the Progression Agency strategy team

A CRM for a two-person consultancy and a CRM for a multinational sales organization share a name and almost nothing else, which is why most comparisons in this category are unhelpful. This page groups the examples by segment — enterprise, small business, sales-focused, all-in-one, self-hosted and vertical — states what genuinely distinguishes each, separates the adjacent products that are regularly bought by mistake, and covers the real cost of an implementation, which is rarely the license.

What is a CRM, and what are the actual examples?

Software that keeps one record of every customer and every interaction with them. The examples below are grouped by who they are built for, because that is what decides the right answer far more than any feature comparison.

The category is unusually crowded, and most comparisons are unhelpful because they compare products built for entirely different organizations. A CRM for a two-person consultancy and a CRM for a multinational sales organization share a name and almost nothing else.

So this page is organized by segment first. Find the segment you are actually in, and the shortlist reduces from dozens to a handful.

The single most useful thing to know before choosing

The failure mode is almost never the software. It is that nobody uses it, and adoption is decided by how much work the system creates for the people entering the data.

Every CRM project that fails, fails the same way: the sales team stops updating it, the data becomes unreliable, the reporting becomes fiction, and within a year somebody proposes replacing it. The replacement then fails identically.

That is why the practical selection criteria are ease of data entry, integration with the tools people already use, and whether the system gives the people entering data anything back. A CRM that only serves management will be maintained badly, whatever it cost.

CRM software examples by segment

What follows is the market as it actually divides — enterprise platforms, small-business systems, sales-focused tools, all-in-one suites, self-hosted options and vertical products.

Each entry states who it is built for and what genuinely distinguishes it. Pricing and feature sets in this category change frequently enough that quoting them would be misleading; check the current published pricing for anything you shortlist.

Salesforce Sales Cloud

Enterprise. The default enterprise choice. Enormously configurable, an ecosystem of apps and integrators around it, and correspondingly heavy to implement and administer.

HubSpot CRM

Small to mid-market. Free at the base tier and designed so marketing, sales and service share one contact record. Easy to start, and the cost rises as you add hubs and contacts.

Microsoft Dynamics 365 Sales

Enterprise. Strongest where an organization already runs on Microsoft; deep integration with the rest of that estate is usually the deciding factor.

Zoho CRM

Small to mid-market. Very broad functionality at a low price point, part of a large suite of business applications that share data.

Pipedrive

Small business and sales teams. Built around the pipeline view. Deliberately narrow, which is why sales teams adopt it and marketing teams find it limited.

Freshsales

Small to mid-market. Part of the Freshworks suite; sales-focused with built-in phone and email and a straightforward setup.

monday CRM

Small to mid-market. A CRM layer on a general work-management platform. Suits teams already using it for projects; less specialized than a dedicated CRM.

Copper

Small business, Google-centric. Designed to live inside Google Workspace, which is genuinely useful for teams whose work already happens there.

Insightly

Small to mid-market. Combines CRM with project delivery, which suits businesses where winning the work and doing the work are handled by the same people.

Close

Inside sales teams. Built around calling and sequencing rather than record-keeping. Suits high-volume outbound teams.

Keap

Small business. Combines CRM with marketing automation and payments, aimed at small businesses that want one system rather than three.

ActiveCampaign

Small to mid-market. Primarily marketing automation with CRM attached, rather than the reverse. Strong on email sequencing.

SugarCRM

Mid-market and enterprise. A long-established platform with both cloud and self-hosted options, which still matters for some data-residency requirements.

Nimble

Small business. Focused on relationship intelligence, pulling context from email and social profiles into the contact record.

Less Annoying CRM

Very small business. Deliberately minimal and priced simply. Aimed squarely at businesses that abandoned a bigger system.

Capsule CRM

Small business. Straightforward contact and pipeline management without a large feature surface.

Streak

Small business, Gmail-centric. Runs inside Gmail as a browser extension, which suits very small teams that live in the inbox.

Nutshell

Small to mid-market. Sales-focused with built-in email sequencing and reporting aimed at smaller teams.

Zendesk Sell

Mid-market. Sales counterpart to the support product; strongest where the support platform is already in place.

Attio

Startups and modern teams. A more recent entrant built around flexible data modelling rather than a fixed sales object model.

Folk

Small teams and agencies. Lightweight, relationship-led, aimed at teams whose CRM is really a network rather than a pipeline.

Pipeline CRM

Small to mid-market. Straightforward sales pipeline management with a long-standing user base.

Bitrix24

Small to mid-market. Very broad: CRM plus intranet, tasks and communication, with a free tier.

EngageBay

Small business. An all-in-one aimed explicitly at businesses priced out of larger suites.

Vtiger

Small to mid-market. Open-source heritage with commercial cloud editions; broad functionality at moderate cost.

Odoo CRM

Small to mid-market. One module of a large open-source business suite; makes sense when you want ERP and CRM together.

SuiteCRM

Self-hosted. An open-source fork with no license cost, which trades money for the need to host and maintain it.

EspoCRM

Self-hosted and small business. Open-source, lightweight, and viable for teams with technical resource.

Creatio

Mid-market and enterprise. Combines CRM with low-code process automation, aimed at organizations that want to model workflow as well as sales.

Sage CRM

Mid-market. Strongest where Sage accounting or ERP is already in place.

NetSuite CRM

Mid-market and enterprise. Part of the NetSuite ERP suite; chosen because of the ERP rather than on its own merits.

Zoho Bigin

Very small business. A deliberately cut-down version of Zoho CRM for very small teams and solo operators.

Salesforce Starter

Small business. Salesforce’s simplified entry product, aimed at teams that want the platform without the implementation.

Method CRM

QuickBooks users. Built around a two-way sync with QuickBooks, which is the entire reason to choose it.

Redtail CRM

Financial advisers. A vertical CRM built for the compliance and workflow requirements of advisory practices.

Wealthbox

Financial advisers. A more recent vertical entrant in the same market, with a lighter interface.

Clio Grow

Legal. Client intake and relationship management for law firms, alongside Clio’s practice management.

Dubsado

Creative freelancers and studios. Combines CRM with proposals, contracts and invoicing for project-based creative businesses.

HoneyBook

Creative and service freelancers. Similar territory to Dubsado, aimed at solo and small service businesses.

Follow Up Boss

Real estate. Built around lead response speed, which is the entire competitive dynamic in that category.

kvCORE

Real estate. A broader platform combining CRM, websites and lead generation for brokerages.

Salesloft

Sales engagement. Not a CRM but frequently confused with one; a sequencing and engagement layer sitting on top of one.

Outreach

Sales engagement. The same category as Salesloft; adds sequencing, dialling and forecasting on top of a CRM.

Apollo

Sales engagement and data. Combines a contact database with outbound sequencing, which is a different purchase from a CRM.

Airtable

Not a CRM, used as one. A flexible database that many small teams use as a CRM. Works until it does not, and the failure is usually reporting.

Notion

Not a CRM, used as one. Same pattern as Airtable, with the same eventual limitation.

Google Sheets

Not a CRM, used as one. The honest starting point for very small businesses, and the thing every CRM is really replacing.

What is not a CRM, despite being sold near one

Sales engagement platforms, contact databases, marketing automation and general work-management tools all solve adjacent problems and are regularly bought instead of a CRM by mistake.

This causes more wasted spend than any other confusion in the category.

Sales engagement platforms

Sequencing, dialling and outbound cadence. They sit on top of a CRM and do not replace it. Buying one without a CRM leaves you with activity and no record.

Contact and intent databases

Sources of prospect data. Useful, and not a system of record.

Marketing automation

Campaign and nurture logic. Overlaps with CRM at the contact record and is a different job.

Work management platforms

Flexible enough to be shaped into a CRM, which many small teams do. It works until reporting is needed.

Customer support platforms

A different record of the same customer. Integration matters more than consolidation for most businesses.

Spreadsheets

The honest baseline, and what most CRMs are actually replacing. If a spreadsheet is working, the case for change should be specific.

How to actually choose between them

Write down the three things the system must do, disqualify anything that fails one of them, then choose on adoption rather than on features.

Feature comparison tables are close to useless in this category, because every product in a segment has broadly the same features and the differences that matter are in how the software feels to use forty times a day.

1. Write down the three things the system must do. Three, not fifteen. If everything is essential, nothing is being prioritized.
2. Establish who will enter the data, and ask them what they use now and what they hate about it.
3. List the tools it must integrate with, and check each integration exists natively rather than through a third-party connector.
4. Disqualify anything that fails a must-have. This usually removes most of the shortlist in minutes.
5. Trial the two or three survivors with real data and real users, not with sample records.
6. Time a common task in each. The difference in seconds, multiplied by daily repetitions, is the adoption argument.
7. Check what reporting comes out of the box, because custom reporting is where implementation budgets disappear.
8. Ask what migrating away would involve. Every system is easy to enter and some are very hard to leave.
9. Confirm the total cost including implementation, integration and administration, not the license price.
10. Decide, implement narrowly, and expand later. Configuring everything before launch is the commonest way these projects stall.

What CRM implementations actually cost

The license is usually the smallest line. Implementation, data migration, integration and internal time routinely exceed it, often by several multiples at the enterprise end.

This is the number that surprises people, and the reason is structural: the software is sold on a per-seat price that is easy to compare, while the work of making it fit an organization is bespoke and invisible until it starts.

Free CRM options, and what free actually means

Genuinely free tiers exist and are usable. The limits are normally contacts, users, automation or reporting — and the cost arrives when you grow, which is the point.

There is nothing wrong with starting free, and for a small business it is frequently the right decision. The mistake is treating a free tier as a permanent plan and then discovering the migration cost at exactly the moment the business is busy.

Check before adopting: what happens at the contact limit, whether your data exports cleanly, and what the next tier costs at your expected size rather than your current one.

Free forever tiers

Real, and usually limited on contacts, users or automation rather than core records.

Free trials

Different thing entirely. Fourteen or thirty days, then a decision.

Open-source options

No license cost, and a real cost in hosting, updating and securing it. Free in money, not in time.

What to check first

Export. If your data cannot leave cleanly, the free tier is a trap regardless of how good it is.

The usual growth wall

Contact limits arrive faster than user limits for most businesses, because marketing lists grow faster than headcount.

CRM examples for specific industries

Vertical CRMs encode an industry’s workflow, compliance requirements and vocabulary. They are worth a premium where that workflow is genuinely distinctive and a waste where it is not.

The test is simple: if you would spend the first three months of a general CRM implementation rebuilding your profession’s standard process, buy the vertical product. If you would not, do not pay for one.

Common CRM mistakes

Buying for management rather than for users, configuring everything before launch, migrating dirty data, and treating the implementation as a project rather than a change.

All four are avoidable and all four are extremely common.

• Buying a system that serves reporting rather than the people entering data. It will not be maintained.
• Configuring every field and workflow before launch. Launch narrow and expand once real usage shows what is needed.
• Migrating dirty data because cleaning it feels like a delay. Bad data destroys trust in the new system in weeks.
• Skipping training on the grounds that the interface is intuitive. Adoption is a change problem, not a usability one.
• Making fields mandatory to force data quality, which produces junk entries rather than good ones.
• Choosing on a feature comparison rather than on how the system feels for the common task.
• Not deciding who owns the system after launch. An unowned CRM degrades within a year.
• Buying an all-in-one to avoid integration, then finding each component is weaker than the specialist it replaced.
• Ignoring mobile, when a large share of the people entering data are not at a desk.
• Treating go-live as the end. The first ninety days of real use determine whether it sticks.

Email integration: the feature that quietly decides adoption

If logging an email takes a click, it happens. If it takes copying and pasting, it does not, and within a month the record is fiction.

This is the least glamorous selection criterion and the most predictive one. Every CRM claims email integration; what varies enormously is whether it is genuinely two-way, whether calendar entries sync, and whether the person has to remember to do anything at all.

Two-way sync

Emails sent from either side appear in both. The minimum acceptable standard.

Automatic logging

Correspondence attached to the right record without anyone deciding to attach it. This is what separates maintained records from abandoned ones.

Calendar sync

Meetings on the record without duplicate entry, which is where most manual systems break down first.

Sidebar or plug-in access

Working in the inbox rather than switching applications. For teams that live in email this is decisive.

Shared inbox handling

Whether team addresses map onto records properly, which many systems handle badly.

Mobile, and why it matters more than the demo suggests

A large share of the people expected to enter data are not at a desk when they have something to enter. If the mobile experience is poor, the data arrives late or not at all.

Demos happen on laptops and adoption happens in car parks. Field sales, service engineers, recruiters and account managers all capture information between appointments, and a system that requires a full browser session for that will simply not be updated until the end of the week, by which time the detail is gone.

Reporting and forecasting: what to check before buying

What comes out of the box, and how hard a genuinely new report is to build. Custom reporting is where implementation budgets disappear.

Every system demonstrates beautiful dashboards. The question to ask is what happens when you want something the dashboard does not show — whether that is a configuration change, a consultant, or an impossibility.

Standard reports

What ships. Usually enough for a small business and rarely enough for a mid-market sales operation.

Custom report building

Whether an administrator can build one, or whether it needs development. This distinction is worth thousands.

Forecasting

Whether the system forecasts from pipeline data honestly, and whether the methodology can be adjusted to how your business actually closes.

Data export

Whether reports and raw data can leave the system easily, which matters for analysis and for eventually leaving.

Dashboards per role

Whether a salesperson sees something useful to them rather than a management view they ignore.

Data protection, consent and the parts people forget

A CRM is a database of people. Consent records, retention rules, deletion requests and access controls are requirements rather than features, and they vary by jurisdiction.

This is not legal advice, and the specifics depend on where you and your contacts are. The practical point is that these obligations exist, they apply to the CRM as much as to marketing email, and a system that cannot record consent or honour a deletion request creates a problem that is expensive to retrofit.

Consent capture

Whether the system records what someone agreed to and when, at the contact level.

Retention and deletion

Whether records can be deleted properly, including from backups and integrations, when someone asks.

Access control

Who can see which records. Straightforward at enterprise level, frequently absent in lightweight tools.

Audit trail

Who changed what and when, which matters for both compliance and trust in the data.

Data residency

Where the data is physically stored, which is a hard requirement for some organizations and irrelevant to most.

Migrating from one CRM to another

Harder than the first implementation, because you now have history, integrations and habits. Plan for it before you need it, not when you do.

The specific difficulties are data mapping between different object models, preserving history in a usable form, rebuilding every integration, and retraining people who had finally got comfortable. None of these are technically hard and all of them take longer than expected.

AI features in CRM: what is real and what is marketing

Genuinely useful for summarising, drafting and data entry. Considerably less useful for lead scoring and forecasting than the demonstrations suggest, because both depend on data quality you probably do not have.

The pattern is consistent across vendors. Features that reduce typing — call summaries, email drafts, automatic field population from correspondence — do real work and improve adoption, because they reduce the cost of maintaining the record. Predictive features depend on clean, complete historical data, and a business whose CRM is patchily maintained will get predictions from noise.

Which is the useful test: if your data is not good enough to report on confidently, it is not good enough to predict from either.

Genuinely useful now

Call and meeting summaries, email drafting, automatic data capture from correspondence, and duplicate detection.

Useful with good data

Lead scoring, next-best-action prompts and churn signals, all of which degrade sharply as data quality falls.

Mostly demonstration

Forecast accuracy claims, which depend on your pipeline hygiene far more than on the model.

Worth asking about

Whether your data is used to train anything shared, and whether that can be switched off.

The honest test

If you would not trust a report built from this data, do not trust a prediction from it.

CRM for agencies and professional services specifically

The pipeline is the smaller half. What agencies actually need is the link between winning work and delivering it, which most sales-oriented CRMs handle badly.

An agency’s records have to carry proposals, scopes, retainers, renewals and delivery status, and the same people who sell are usually the people who deliver. Systems combining CRM with project work — or a CRM integrated properly with the delivery tool — fit that shape far better than a pure sales pipeline does.

How long a CRM implementation takes, realistically

Days for a small business that resists configuring everything. Months for mid-market. Quarters or longer at enterprise, and mostly not because of the software.

The variable is not the technology but the decisions: what the sales process actually is, which fields matter, who sees what, and how it connects to everything else. Organizations that have never written their sales process down discover during implementation that different people believe different things, and resolving that is the real project.

What to do if your current CRM has already failed

Diagnose why before replacing it. Changing product fixes a software problem, and the problem is almost never software.

The instinct after a failed implementation is to blame the system and start a selection process for a new one. That is how organizations end up on their third CRM with the same unreliable data. Work out which of the five failure modes actually applies — adoption, over-configuration, dirty data, no owner, or wrong segment — because four of the five can be fixed on the system you already have, usually in weeks and at no license cost.

Integrations: the question that decides more than the feature list

Which systems must exchange data with the CRM, and whether each connection exists natively or needs building. Integration work is where CRM budgets actually disappear.

A CRM that does not talk to the systems around it becomes a second place to type things, which is the fastest route to abandonment.

Email and calendar

The minimum, and the one that most affects daily adoption.

Accounting and invoicing

Frequently the difference between a sales tool and a business system, particularly for small firms.

Marketing automation

Where the contact record is shared, and where duplication problems start if the mapping is sloppy.

Support or ticketing

So the same customer is not two unconnected records.

Website forms

Direct capture beats manual entry, and it is usually trivial to set up.

Native versus connector

A native integration is maintained by the vendor; a third-party connector is another subscription and another thing to break.

Who should own the CRM after go-live

A named person with time allocated, not a committee and not whoever set it up. An unowned CRM degrades within a year.

Fields proliferate, pipeline stages drift from how the business actually sells, nobody removes what stopped being used, and reporting slowly stops matching reality. None of that is dramatic and all of it is cumulative. The owner does not need to be technical; they need the authority to say no to new fields and the time to review the setup quarterly.

Selection on adoption, not features

Every product in a segment has broadly the same features. The difference is how it feels forty times a day.

Three must-haves, written down

Which disqualifies most of the shortlist in minutes and prevents the fifteen-criteria comparison that decides nothing.

Narrow launch, then expand

Configuring everything before go-live is the commonest way these projects stall.

Clean data before migration

Bad data destroys trust in a new system faster than any missing feature.

Integrated with the rest of the stack

See how to evaluate marketing suppliers for the wider question of what to buy and from whom.

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• 

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  How to use Google Keyword Planner: Find the Best Keywords for Your Business (2026 Guide)
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  How to Build Your First AI Agent (Step-by-step Tutorial)
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  Amazon Just Became the Google of Streaming Ads
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  Paid Search Association AMA: AI Max Q&A
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  How to Dominate AI Search in 2026 (Complete Tutorial for Business)
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• 

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• 

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  6 B2B Marketing Strategies Replacing the Old Playbook in 2026
  HubSpot Marketing · 2026-05-11

• 

  You're Wasting Your Money on Influencer Marketing
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• 

  Top SEO Experts Build Me an AI Search Strategy (GEO)
  Ahrefs · 2026-01-21

• 

  Streamline your workflow with Ask Advisor in Google Ads
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• 

  22 Genius Marketing Campaigns You Can Run Without a Big Budget
  HubSpot Marketing · 2026-05-06

• 

  Everything you know about Marketing is changing (2026)
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  Do Reddit Ads Actually Work? I Ran a $100 Experiment (Full Results)
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  You’re Wasting Your Time Creating Social Media Content
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  Anatomy of a Viral Campaign: How We Built Loop Marketing
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  Google Ads Other Restricted Businesses Policy [Avoid Disapproval Guide]
  Google Ads · 2026-06-16

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  Claude AI for Business: The Complete Marketing Tutorial
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  Google Ads Limited Ad Serving? How to Fix It (2026 Guide)
  Google Ads · 2026-06-15

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  5 NEW Email Marketing Trends That Actually Work in 2026
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  Google Ads Bidding Update: How to Maintain Predictable Performance (2026 Guide)
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  HubSpot Marketing · 2026-04-13

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  The Marketing Playbook That Helped This Gym Beat Equinox
  HubSpot Marketing · 2026-04-08

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  Google Ads Editorial Policy: How to Fix Ad Disapprovals
  Google Ads · 2026-06-09

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  How to Dispute or Change Google Ads Invoices
  Google Ads · 2026-05-28

• 

  Google Marketing Live: Backstage with our product experts
  Google Ads · 2026-05-28

Frequently asked questions