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RepairShopr to HelpShift
migration service

Effortless , no special know how or programming required. A complete RepairShopr to HelpShift data migration tool.

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Your best tool for RepairShopr to HelpShift data migration

No need to write a code, nor do you need a developer. Just perform your platform to platform migration in a couple of simple steps.
Save on resources
Avoid complex data audit and tool development processes. Just pick customer info you need to transfer and set off with the transition immediately.
Easy transition process
No specific expertise required. Just select what data will go to the new solution and observe the wonders happening.
Record structure maintenance
Transfer your help desk data in full to make sure that no ticket is missing essential customer service details.
Automated migration

Afraid that you’ll have to use special skills to move your info? Worry not as we made sure that our tool interface user friendly as possible.

Link the help desks, pick records, click ok, and the migration is ready!

Data maintenance

Your customer info comes complete and we mean it.

Each email, every ticket, and every little bit of info will reach the target complete with its attachments, contact connections, and interaction archive.

Robust protection

Your customer data is behind impenetrable walls. Not even all our staff members have see your credentials or other information.

You can be certain with HDM no data breaches will take place.

You control the process

Take complete control of your customer data with our internal data mapper. Choose what goes where, set priorities, and even discard the stuff you need, all with our Migration Wizard.

Efficient out-of-the-box solution

In only a couple of clicks you will be able to pick what goes where, when it starts, and in what order.

Our tech engineers took customer experience as a priority and ensured that it will be possible to use the system to its fullest.

Customer priority

As a data import service supplier, we aim to offer the best possible migration tool. Yet, our priority is customer support quality.

As evident by our many five-star user reviews on G2, we want you to have the best possible experience.


Reasons to use Help Desk Migration to migrate data from RepairShopr to HelpShift

Castle gates

Strong safety of your data

The migration is done over a protected connection, and all your credentials will automatically be deleted after you complete the data migration.

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Intuitive data migration wizard

With Help Desk Migration it's simple to move your support service to a new helpdesk without involving the IT department

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Wizard window
Mapping fields window

Advanced data mapping

Our service allows mapping standard and custom fields , thus helping you to make sure that the records end up in the right destinations in HelpShift.

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Sustained connectivity between object and people

When migrating your data from RepairShopr to HelpShift we keep all connections between tickets and their respective contacts, attachments, etc., thus retaining the history info.

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Relations illustration

What you may migrate from RepairShopr to HelpShift

Help Desk Objects
  • Tickets

    with replies, notes and attachments

  • Contact
  • Companies
  • Agents
  • Agents Groups
Knowledge Base Objects
  • Articles

    with images and attachments

  • Categories
  • Folders
96% of users love our service

We’re recognized for best support,
usability, and high ROI
in cloud migration.

How does data migration from RepairShopr to HelpShift work

  • Prepare

    Start by creating Agent profiles and all necessary custom fields in your new help desk. Now, begin migrating your data from RepairShopr to HelpShift.

  • Connect RepairShopr

    Complete the form with necessary credentials to allow our data migration tool to fetch records from your current help desk.

  • Repeat the same action to integrate our service with the new help desk and thereby make it possible to import the records.

  • Choose objects

    Choose the information you want to migrate and set the ticket fields mapping, so the data could be migrated based upon your needs

  • Migrate small amount of data

    Try our Free Demo Migration to check how the records migrate. You will be able to browse 20 tickets in your new help desk in a few minutes!

  • Migrate to HelpShift all data

    Once everything's validated, choose a quiet time with the minimal load on the support team and begin migrating from RepairShopr to HelpShift.

Your data is in good hands

We take the security of your data seriously, so we apply, as well as develop our own, best practices and approaches to protect it.


Price estimation

Don't know how to estimate the cost of data migration?
Just check out this video for a detailed guide.

Select your current Help Desk platform and the future one
Number of records in your current Help Desk
Help Desk Record — every single Agent, Group, Contact, Company and Ticket. If you have 10 Agents, 10 Contacts and 40 Tickets, then you have 60 help desk records.
Knowledge Base Record — every single Article, Category and Folder. If you have 5 Articles, 6 Categories and 4 Folders, then you have 15 knowledge base records.
Let's get connected
Select how you want to proceed
Option #1: fully automated process
Automated data migration
According to the platforms you've selected, you can migrate:
Option #2: Tailored to meet your needs
Customized data migration
Fulfill any specific requirements you have: filter data, migrate tickets the way you need, reassign agents and more.
What kind of customization do you need?
Please describe your needs as detailed as possible

Thanks for your request!

We'll get back to you as soon as we have the estimate ready.

Have any questions?

Hear from our satisfied customers

Migrate the data by yourself

See on your own that moving from one help desk to another is simple even if you're not computer savvy.
Start an automated migration

Let a professional perform your HelpShift import

Our staff would be more than happy to perform a custom migration in case you have specific requirements.
Get a price estimation

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