Last verified April 2026 · 7 min read

Progressive profiling: only ask what you need now

Q: What is progressive profiling?

Progressive profiling is the practice of collecting only the minimum data required at signup (typically email plus password or OAuth) and asking for additional information contextually inside the product, when the request is clearly justified by a specific product moment. Shopify collects only shop URL and email at signup; everything else is requested inside the admin as you reach the relevant feature.

Q: How does progressive profiling increase conversion?

By reducing the signup form to the irreducible minimum, progressive profiling removes fields that individually cost 1-12pp per Baymard and Formisimo/Zuko research. The cumulative effect of removing company, role, phone, and postcode from a signup form can recover 10-30pp of previously lost conversions. The user gets to value faster, which also increases the probability they complete the product's first meaningful action.

Q: What tools support progressive profiling?

HubSpot's progressive form fields, Marketo Progressive Profiling, Segment Personas (for enriching profiles as events come in), Customer.io (triggered profile-completion prompts), Intercom (in-product surveys). On the data layer, Clearbit and Apollo.io can auto-enrich company and role data from email domain without asking the user at all.

The default assumption in product design is that all the data you will ever want from a user should be collected at signup. Progressive profiling challenges that assumption: collect the minimum viable identity at signup (email plus password, or OAuth), and ask for everything else contextually inside the product.

The contrast with the traditional approach: a signup form with company, role, team size, phone, use case, country, and postcode costs anywhere from 15-40pp of conversion compared to a minimal email-only form. Progressive profiling recovers that without losing the data - it just collects it later, in context, when the user has a reason to provide it.

The progressive profiling pattern

Step one: minimum-viable signup. Email plus password or OAuth. Nothing more unless the product is genuinely broken without it. Step two: collect additional data at contextually appropriate moments inside the product.

First invoice / billing setupCompany name, tax ID, address

Inviting team membersTeam size, role (for seating model)

API key creationUse case, technical context

Connecting an integrationStack information, connected tools

First customer communicationPhone number (if outbound needed)

Shopify's pattern

Shopify collects two fields at signup: shop URL and email. That is all. The shop is live in under a minute. Everything else - payment methods, shipping zones, tax settings, company name, billing address - is requested inside the admin dashboard, at the moment it becomes relevant to the merchant.

At Shopify's scale (millions of merchants), even a 1pp improvement in signup conversion is worth hundreds of thousands of additional merchants. The two-field signup is not accidental - it is an explicit product decision.

Figma's pattern

Figma collects email, name, and a role dropdown at signup. The role dropdown (designer, developer, product manager, etc.) is one extra field that Figma uses to personalise the onboarding experience - which templates are shown first, which features are highlighted. It is an example of the single additional field that earns its conversion cost by improving the subsequent experience.

Team size, workflow preferences, and detailed use-case questions are asked inside the onboarding wizard, after the user has logged in and seen value. The progression is clear: qualify for personalisation at signup (role), qualify for product routing inside the product.

Notion's pattern

Notion uses magic link as its primary signup method - email only at the point of signup. The workspace name is set immediately after signup, inside the product on the first screen. Use case (personal, team, company) is selected as part of the onboarding wizard.

Tools that support progressive profiling

HubSpot

Progressive form fields that show different questions based on what you already know about the contact.

Segment Personas

Enrich user profiles as events come in. Collect data across sessions without asking again.

Clearbit / Apollo.io

Auto-enrich company and role from email domain. Often eliminates the need to ask at all.

Customer.io

Trigger in-product messages asking for profile completion at contextually appropriate moments.

Intercom

In-product surveys and prompts. Ask for data at the exact product moment where it becomes relevant.

When to break the rule

B2B enterprise sales-qualifying lead forms are not product signups - they are a different form at a different point in the funnel. If your primary lead-capture is a demo request form, qualifying questions are appropriate there. The key distinction: a product signup should let the user into the product as quickly as possible. A demo request form can ask more because the user is explicitly requesting human contact.

Financial services, healthcare, and regulated industries require specific data at signup for legal reasons. That friction earns its keep. See B2B vs B2C norms and when friction earns its keep.

Frequently asked questions

What is progressive profiling?+

Collecting only the minimum at signup and asking for additional data contextually inside the product, when the request is clearly justified by a specific product moment. Shopify collects only shop URL and email. Figma adds a role dropdown. Everything else comes later.

How does progressive profiling increase conversion?+

By removing fields that individually cost 1-12pp each. The cumulative effect of removing company, role, phone, and postcode can recover 10-30pp of conversions. The user gets to value faster, which also improves first-action completion.

What tools support progressive profiling?+

HubSpot progressive form fields, Segment Personas, Clearbit/Apollo.io auto-enrichment, Customer.io triggered prompts, Intercom in-product surveys. Auto-enrichment from email domain often eliminates the need to ask at all.