How to build a candidate database from scratch

Your database is your business

I onboard recruitment agencies every week at Recruitly. Some have been running for years. Some are starting today. The ones who succeed fastest all do the same thing: they treat their candidate database like their most valuable asset. Because it is.

Your database will outlast your current clients, your office lease, and most of your team. Three years from now, the placements you make will come from people you added this month. So let's talk about how to build it properly from day one.

Start with people you already know

Before you source a single new candidate, add everyone you already know. Your LinkedIn connections, old colleagues, people who've emailed you about roles, contacts from your previous agency. Most recruiters have 200-500 people they could add on day one. That's your foundation.

Upload any spreadsheets or CSV files you have. Import your LinkedIn connections. Drag and drop CVs into your CRM. Every CV gets parsed automatically, so you don't need to type anything manually. The goal is to get your existing network into the system before you start growing it.

Every source feeds the database

Once you're running, candidates come from everywhere. Job ad responses, LinkedIn conversations, referrals from placed candidates, networking events, career fairs, inbound website applications. The discipline is making sure every single person goes into the CRM. Not a spreadsheet. Not a folder of CVs on your desktop. The CRM.

I've seen agencies lose thousands of candidates because they were saved in email attachments or shared drives that nobody opened again. If a person isn't in your database, they don't exist for your business.

AI sourcing gives you 800M+ profiles from day one

You don't have to build your database one person at a time. Recruitly's AI sourcing gives you access to over 800 million professional profiles. You describe what you're looking for and the system finds matching candidates with contact details, work history, and skills already attached.

This is a genuine alternative to LinkedIn Recruiter and it's included in your Recruitly subscription. No per-profile fees. When you find someone relevant, they go straight into your database with one click.

Taxonomy matters more than volume

A database of 5,000 untagged candidates is less useful than 500 well-organised ones. From the start, tag every candidate by skills, sector, location, and availability. Use consistent naming. "Java Developer" and "Java Dev" should be the same tag, not two different ones.

Set up your taxonomy before you start bulk importing. Decide on your skill categories, seniority levels, and location format. This takes an hour. It saves you hundreds of hours later when you need to find "all available .NET developers in Birmingham" and actually get useful results.

GDPR from the start

If you recruit in the UK or Europe, you need GDPR compliance from day one. Not "when we get bigger." Now. That means consent records for every candidate, a retention policy for how long you keep data, and the ability to delete someone's record if they ask.

Recruitly handles consent tracking and retention policies inside the CRM. You set your retention period, the system flags records that are expiring, and candidates can manage their own preferences. Setting this up takes 15 minutes. Fixing a GDPR mess after two years of ignoring it takes weeks.

Realistic growth numbers

I've watched hundreds of solo recruiters and small agencies grow their databases on our platform. Here's what typical growth looks like. In the first three months, a solo recruiter adds 500 to 1,000 records. By the end of year one, that's 3,000 to 5,000. Agencies with multiple consultants grow faster because every person on the team contributes.

The key is consistency. Adding 10 candidates a day is better than adding 200 in a burst and then nothing for a month. Make it part of your daily routine. Every conversation, every application, every LinkedIn message turns into a database record.

A database that cleans itself

Here's the thing nobody tells you. Building the database is the easy part. Keeping it clean is the hard part. After a year of importing candidates from different sources, your data quality starts to degrade. Phone numbers in five different formats. Job titles full of LinkedIn emojis. Skills listed as "JS" and "JavaScript" and "java script" on the same profile. Industry fields empty on half your records.

Our Head of Engineering Lokesh wrote about how we solved this. We built the Data Agent to fix it. It runs across your entire database overnight. Standardises phone numbers, cleans up job titles, deduplicates skills, classifies candidates by industry and sector, and generates AI summaries. Every change is tracked and reversible. You wake up to a clean database without touching a single record manually.

Think of it as a self-healing database. You keep adding candidates from whatever source, in whatever format. The Data Agent periodically cleans and enriches everything so your searches and AI matching always work against quality data. Your database gets bigger AND better over time, not bigger and messier.

Getting started

If you're starting a new agency, your database is the first thing to set up. Before your website, before your branding, before your job boards. Import what you have, set up your tags, configure your GDPR settings, and start adding people. Every day you wait is a day of candidates you're not capturing.

Recruitly has a free plan so there's no reason to start with spreadsheets. Get your database right from the beginning and you'll never have to migrate a messy data set later.