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Moving from Insightly

Import organisations, contacts, and opportunities from Insightly.

What comes across

The record types we can build from your Insightly export.

  • Companies. The businesses you sell to, buy from or work alongside. Each row becomes one company, and every contact, deal and invoice you bring later links back to it by name.
  • People. The individual people you talk to. Each row becomes one contact, attached to the company named on the same row.
  • Deals. The deals in and out of your pipeline. Each row becomes one deal on the company it names, sitting at the stage you give it.

Getting your files out

Three steps, then bring everything back here at once.

  1. Sign in to your old system.
  2. Go to Settings, then Export, and choose every record type it offers.
  3. You will get one or more files. Come back here and drop all of them in at once.

Nothing is written until you say so. You will see what we made of every file, decide anything we cannot decide on our own, and read a plain summary of what pressing the button does before it does it.

The order we bring things in

We will bring these in this order so the links hold.

  1. Companies. Companies come before contacts, because a contact is attached to one.
  2. People. Contacts come after companies and before everything that names a person.
  3. Deals. A deal needs its company and its stage, so both come first.

The columns we read

What each one is called here, the headings we recognise for it, and an example.

Companies

The companies or accounts list out of the system you are leaving.

FieldDescription
Company name*Write it as company. We also read company name, account name, organization. Example: Acme Manufacturing. The name we match everything else against, so keep it spelled the way your team says it.
Web addressWrite it as domain. Example: acme.example. Helps us spot the same company arriving twice under two spellings.
Main phone numberWrite it as phone. We also read phone number, main phone. Example: +1 415 555 0142.
Main email addressWrite it as email. We also read email address. Example: hello@acme.example.
What they are to youWrite it as type. We also read company type, account type. Example: customer. A word we do not recognise stops the row, so the accepted words are listed with this record type.
How active they areWrite it as status. We also read account status. Example: active.
IndustryWrite it as industry. Example: Manufacturing.
CityWrite it as city. Example: Oakland.
CountryWrite it as country. Example: United States.
Who owns itWrite it as assigned_to. We also read owner, account owner. Example: dana@yourcompany.example. Use the work email of somebody already in your workspace, or leave it blank.

People

The contacts or people export from the system you are leaving.

FieldDescription
First name*Write it as first_name. We also read first name, given name. Example: Dana. A single full name column works too. We split it for you.
Last nameWrite it as last_name. We also read last name, surname. Example: Whitfield.
Company name*Write it as company. We also read company name, account name. Example: Acme Manufacturing. A contact needs a company. Bring the companies file first and these link themselves.
Email addressWrite it as email. We also read email address, work email. Example: dana@acme.example.
Phone numberWrite it as phone. We also read phone number. Example: +1 415 555 0188.
Job titleWrite it as title. We also read job title, position. Example: Operations Lead.
Where they are in your funnelWrite it as lifecycle_stage. We also read lifecycle stage. Example: customer. We keep your own words where your workspace already uses them.
Profile linkWrite it as linkedin_url. We also read linkedin. Example: https://www.example.com/in/dana.
Who owns itWrite it as assigned_to. We also read owner. Example: dana@yourcompany.example.

Deals

The deals, opportunities or pipeline export.

FieldDescription
Deal name*Write it as name. We also read deal name, opportunity name. Example: Acme line upgrade.
Company name*Write it as company. We also read company name, account name. Example: Acme Manufacturing. A deal needs a company. Bring the companies file first.
StageWrite it as stage. We also read deal stage. Example: proposal. We keep your own stage names where your workspace already has them.
ValueWrite it as amount. We also read value, deal value. Example: 48000.
CurrencyWrite it as currency. Example: USD. Give this whenever your deals are not all in one currency.
Expected closeWrite it as expected_close_date. We also read close date, expected close date. Example: 2025-09-30. A date we cannot read stops the row rather than landing as a blank.
Who owns itWrite it as assigned_to. We also read owner. Example: dana@yourcompany.example.

Words we recognise

Type any of these and we will know what you mean. Anything else comes across as it is written.

Deals: stage

discovery, prospecting, research, qualification, qualified, qualifying, proposal, proposal price quote, quote, negotiation, negotiation review, contract, contract sent, closed won, won, closed lost, lost, appointmentscheduled, qualifiedtobuy, presentationscheduled, decisionmakerboughtin, contractsent, closedwon, closedlost, lead in, contact made, needs defined, proposal made, negotiations started, perception analysis, id. decision makers, value proposition, needs analysis.

A stage word we do not know lands the deal in Discovery, and we say so on the row.

People: lifecycle stage

subscriber, lead, mql, marketing qualified lead, marketingqualifiedlead, sql, sales qualified lead, salesqualifiedlead, opportunity, customer, evangelist.

What is not coming across.

  • Photos and files come over on their own. One move brings over 2 GB and 500 files.

What a move can hold

The same limits apply whichever system you are coming from.

  • One file can hold up to 10,000 rows.
  • One file can be up to 10 megabytes.
  • You can undo a move for 30 days after it finishes.
  • You can undo a single file import for 24 hours after it finishes.

Coming from something else? The list of systems we read has a page for each one, and a file from a system with no page of its own still comes across: we read the headings and you confirm every one of them before anything is written.