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Offers & Recommendations
AI Personalized Onboarding
New users are walked through the setup steps that fit their role and goals, not one generic tour for everyone.
New users who sit through steps that do not apply to them often never reach the part that matters. This build adapts your onboarding to each user's role and goals, skipping irrelevant setup and surfacing the steps that count, inside your product or onboarding flow. Your product team can read every rule, and an A/B test measures activation against your current flow.
- Onboarding paths matched to each user's role and goal
- Irrelevant setup steps skipped automatically
- Progress tracked per path so you see where users stall
$3,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Personalized Onboarding adapts the setup steps a new user or customer goes through based on their role and goals, skipping what does not apply and surfacing what does, rather than running everyone through one fixed tour. It works inside your product or onboarding flow, not on marketing pages.
Why businesses buy it
A single onboarding tour is built for an average user who does not exist. Admins wade through steps meant for end users, and people with one specific goal give up before they reach it. Every user who stalls is a customer who may never get value. This build routes each new user down the path that fits, using data you already capture at signup. The Scope Card fixes the paths, systems and workflows before you order, so the project has clear edges.
Problems this solves
New users sit through a tour full of steps they don't need
Setup steps adapt to each new user's role and goals. Steps that do not apply are skipped, and the ones that matter most come first.
Users drop off before reaching the feature that fits them
Onboarding surfaces the steps most relevant to each user's stated goals. People reach the parts of your product that matter to them sooner in their setup.
Admins and everyday users get identical setup instructions
Role decides which path each person follows. An admin can see configuration steps, while an everyday user goes straight to the tasks they will do.
Changing the onboarding flow needs a product release
Rules stay visible and editable within up to six workflows and your approval rules. Your team can adjust steps without waiting for the next engineering release.
A good fit if
New users currently go through one identical onboarding flow, regardless of their role, team size or goal.
You can name a handful of onboarding paths, for example by role or use case, that would each genuinely benefit from different steps.
You already capture role or goal information at signup, or track early product usage through your app or CRM.
You want onboarding rules visible to your product team, and an A/B test to confirm the change actually improves activation.
Not the right fit if
You need new customers chased through setup milestones, with nudges and CSM tasks when progress stalls. See AI Customer Onboarding Agent.
You want marketing-facing content personalized, not the onboarding flow itself. See AI Content Personalization.
You want onboarding coordinated with the rest of a customer's lifecycle across web and email, not just the flow itself. See AI Customer Journey Personalization.
Your onboarding communication happens mainly through email, not inside the product. See AI Email Personalization.
You need more than 2 connected systems or more than 6 workflows. Add a note at checkout for a quote, or start from our Custom AI enquiry form.
How it works
- Your onboarding paths are defined. The roles, goals or use cases worth a different flow are identified, each mapped to the steps that actually matter for it.
- Signup data sets the starting path. Role, team size or stated goal, captured at signup or synced from your CRM, decides which onboarding path a new user starts on.
- Steps adjust as the user moves through. Irrelevant setup steps are skipped, and steps specific to their goal are surfaced earlier, using activity data from your app or HubSpot.
- Progress is tracked per path, so you can see where users on each onboarding path are getting stuck, not just an aggregate completion rate.
- A user with no clear role or goal signal gets your current default onboarding flow, never a stalled or broken setup step.
- An A/B test compares the personalized paths against your existing single flow, so the lift in activation is measured, not assumed.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Your current onboarding flow, and the roles, goals or use cases you want it to branch by.
- Access to signup data and early usage data, from your app or a CRM such as HubSpot.
- The specific steps each onboarding path should include or skip.
- Your consent and privacy settings, so onboarding personalization only runs on data you are allowed to use.
- The name of the approver for any change to what a new user's onboarding path includes.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- One decision-maker who can approve the onboarding rules before they go live.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified and your onboarding paths confirmed.
Weeks 1–2
Path-matching and step rules built from your product data.
Week 3
Your app and CRM connected with read and write access.
Weeks 3–4
50 test scenarios run across your defined onboarding paths.
Week 4
Your review, with up to 2 rounds of changes.
Go-live
Live, recorded handoff session delivered, 30 days of support begin.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,900 |
| Express | 15–25 working days | $4,600 |
| Rush | 10–20 working days | $5,250 |
What you receive at handover
- Personalized onboarding inside your product or onboarding flow, adapting steps by role and goals
- Up to six workflows with approval rules, visible and editable
- Read and write connections to up to two systems
- A test report covering the documented scenarios
- An admin guide and a recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- New users can reach value with fewer wasted steps.
- Onboarding can feel relevant, which helps more people finish it.
- Support may get fewer basic setup questions.
- Onboarding completion
- In product analytics, compare users who signed up before launch with those who signed up after.
- Time to first key action
- Measure time from signup to the action that signals value, using product analytics.
- Setup-related tickets
- Count tickets tagged setup or onboarding in your helpdesk, before and after.
Before you start: Record onboarding completion, time to first key action and setup tickets for recent signups.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
Running this after launch usually costs $50 to $250 a month in AI model usage and hosting, on top of whatever you already pay for your CRM plan. Cost tracks how many new users go through a personalized path, not the number of paths you have defined.
AI usage during the build and testing period is billed the same way, directly in your own accounts, so every provider relationship stays yours.
Ask about running costsCustom requirements
If your onboarding needs more paths or systems than the Scope Card covers, note it at checkout. A written Change Quote follows, the extra work waits for your approval, and your original order keeps its planned date. Larger or bespoke projects use the Custom AI request form instead.
Request a custom versionKeep it running
Optional monthly maintenance covers monitoring, fixes, model and platform updates and enough monthly change hours to add a new onboarding path as your product evolves. It starts after the 30 days of post-launch support and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | An onboarding tool charges monthly per active user | An agency quotes onboarding UX work as a separate project | Ours is one fixed price, shown on this page before you buy |
| Scope | An onboarding tool gives you a builder, branching logic is yours to design | An agency scope is agreed project by project | Ours is written on the Scope Card, paths built for you |
| Delivery | An onboarding tool is quick to install but slow to configure well | An agency onboarding project usually runs several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
| Signal used | An onboarding tool often branches on signup form answers alone | An agency build depends on what was agreed | Ours also reads early product usage as it happens |
| Measuring impact | An onboarding tool often sells cohort reporting separately | An agency build depends on what was agreed | Ours includes A/B test setup in the price |
Questions about this product
How much does AI Personalized Onboarding cost?
One fixed price covers role and goal-based onboarding paths across up to two connected systems and up to six workflows, plus 50 documented test scenarios run against your real paths before launch. The price for each delivery speed is shown in the panel on this page, so the build cost is clear before you buy, without a product walkthrough call.
How long until new users see a personalized onboarding path?
Delivery time is fixed for each speed and shown in the panel on this page. The clock starts once intake is complete and access is verified. Most of the calendar time goes on defining your onboarding paths and confirming where role or goal data comes from, so agreeing those early keeps things moving.
Does this replace our product's onboarding UI?
No, it works inside the onboarding flow you already have, deciding which steps a new user sees and in what order, rather than replacing your interface. Your existing screens and setup steps stay as they are; this build adds the branching logic that decides which of them apply to a given user.
What data decides which onboarding path a new user gets?
Role, team size or a stated goal captured at signup, along with early usage data read from your app or a CRM such as HubSpot, decide the starting path. A user's path can also adjust as they move through onboarding, based on which features they actually touch in those first sessions.
What happens to a user with no clear role or goal signal?
They see your current default onboarding flow exactly as it exists today, rather than a stalled or broken setup sequence. Fallback to the default flow is built into every path rule, so a user who does not fit a defined role or goal is never left without a clear path to follow.
What are the ongoing running costs for personalized onboarding?
Expect roughly $50 to $250 a month in AI model usage and hosting, on top of whatever you already pay for your CRM or app analytics. That cost tracks how many new users actually go through a personalized path each month, not how many separate onboarding paths you have configured.
Who owns the onboarding paths and rules this build creates?
You do. Every path definition, branching rule and workflow built for your onboarding flow belongs to you once delivered, the same as work from an in-house product team would. We do not reuse your signup data, your onboarding logic or your path rules for any other customer. That includes the right to export the rule set or move it to another provider at any point, with no ongoing license fee attached.
What if a user is landing on the wrong onboarding path after launch?
You have five working days after delivery to flag anything that does not match the Scope Card, and that gets fixed as part of the original build price, not a paid Change Quote. Beyond that window, further tuning of path rules runs through monthly maintenance instead. Most fixes at that stage are narrow adjustments to a single path rule, not a rebuild of the whole onboarding setup.
Stop walking every new user through the same generic tour.
Order AI Personalized Onboarding and new users follow a path built for their role on a fixed delivery date, inside your existing flow.
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