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Move from Affinity to Attio without losing your network

Migrate lists, organizations, people, and opportunities, keep the relationship history that makes your network valuable, and finally model the LP, portfolio, and fundraising workflows Affinity's dealflow-first design never made room for.

Short answer

An Affinity to Attio migration moves lists, organizations, people, opportunities, and available interaction history over two to three weeks. The gain is modeling LPs, portfolio companies, and fundraising as real objects. The trade-off is Affinity's relationship-intelligence scoring, which Attio does not replicate directly.

Why funds leave Affinity

Affinity is built for deal flow, and it is good at it. Auto-captured interactions and relationship intelligence are genuinely useful, and no fund should give those up lightly.

The limits show up everywhere else. A fund is not only a deal pipeline: it is LPs, a portfolio, fundraising, talent, and a network that spans all of them. Affinity models one of those well.

What usually pushes a fund to move:

  • LP relationships and fundraising are tracked in a spreadsheet beside the CRM
  • Portfolio support and talent introductions have nowhere structured to live
  • Lists have been stretched to model things that should be objects
  • Reporting cannot span deal flow, portfolio, and LPs together
  • Per-seat cost is high for a tool covering one part of the job

Attio's custom objects let you model the whole fund in one workspace, with deal flow as one part of it rather than the entire structure.

What we help with

Migration planning

Audit your Affinity workspace: lists, organizations, people, opportunities, and custom fields. Decide what maps directly, what gets restructured, and what to leave behind.

Data cleanup

Clean up duplicate contacts, stale opportunities, and dead fields before they follow you into the new CRM. A migration is the best moment to do it.

Object and list mapping

Map Affinity lists, organizations, people, and opportunities into Attio's relational data model, keeping your deal-flow structure while gaining custom objects for LPs and portfolio.

Interaction and note history

Bring across interaction history and notes where the Affinity export allows, so relationships do not start from zero and context is not lost.

Workspace setup

Rebuild your pipeline, views, automations, and permissions in Attio, and set up email and calendar sync so interactions keep capturing from day one.

Custom objects beyond deal flow

Model LPs, portfolio companies, and fundraising as their own objects, the workflows Affinity's dealflow-first model never made room for.

The process

1. Audit

We review your Affinity workspace: lists, organizations, people, opportunities, custom fields, and how your team actually uses relationship intelligence day to day.

2. Plan

We define the target structure in Attio, agree on what maps directly, and identify anything worth modeling properly for the first time, such as LPs and portfolio operations.

3. Clean

We clean the data before export. Duplicate contacts, dead opportunities, abandoned fields. The migration carries forward only what matters.

4. Migrate

We run a sample migration first, validate the mapping, then execute the full import of lists, organizations, people, opportunities, and available interaction history.

5. Rebuild

Deal-flow pipeline, views, automations, email and calendar sync, and any custom objects beyond deal flow are built out in Attio.

6. Launch

Your team gets a walkthrough, written documentation, and a support window after go-live to smooth out anything that surfaces.

The Affinity to Attio migration, step by step

If you would rather run the move yourself, this is the same sequence we follow on a paid migration — including the one thing that genuinely does not come across, stated plainly.

Rebuild the data model before you export

This matters more for a fund than for a standard sales team. Affinity organises most work around lists: deal flow is a list, the portfolio is a list, LPs are a list, and each list carries its own fields. It is flexible, but the same company can sit in three lists with three different sets of data attached and none of it modelled as a real relationship.

Attio works the other way. Portfolio companies, LPs, funds and co-investors become first-class objects with their own fields, connected by real relationships. For a fund that has run on Affinity for a few years, this exercise usually cuts the field count hard and turns three overlapping lists into one clean object model.

  • Which objects you actually need: People and Companies certainly, Deals for the active pipeline, then the custom objects that carry your firm's logic — Portfolio Companies, LPs, Funds, Co-investors.
  • Which fields matter: for each Affinity list, which fields feed a view, a report or weekly work, and which are dead columns nobody fills.
  • Which relationships matter: a founder connects to a company, a company to a round, a round to a fund. Map these before you touch the export.

The relationship-intelligence gap, stated plainly

Affinity's moat is the relationship graph. It reads the firm's entire email and calendar history and scores who has the strongest connection to any person or company. That score is the product, and it is also the thing that does not export.

You can export the contacts and the raw interaction records. You cannot export the computed relationship strength, the intro-path ranking, or the years of automatic capture that produced them. No migration moves that intact, to any tool.

What you can rebuild in Attio is the practical version: connect the same email and calendar accounts so interaction history syncs and stays current, then add attributes and automations tracking last contact, frequency and owner, so the team can still see who has been talking to whom. It is not Affinity's algorithmic graph and we do not pretend it is. For funds leaving on cost and breadth, the rebuilt version is enough. If systematically working a warm network is the core of how you win deals, weigh this before you commit.

Export, keeping the Affinity IDs

Two paths. CSV export per list and per view: open a list, filter, export — do this for Organizations, Persons and Opportunities, then for each deal-flow, portfolio and LP list separately so the list-specific fields come with them. Or the Affinity API, which is cleaner for larger funds or when you want opportunities, list entries and field values pulled in bulk with IDs intact.

  • Keep the Affinity IDs in every export. They are how you relink records on the Attio side if anything needs a second pass.

Prepare the workspace, clean, then import

Organizations become Companies, Persons become People, Opportunities become Deals. Recreate the Affinity deal-flow stages as statuses on Deals, same order and same names, so reporting continuity holds. Then build the custom objects you decided on and the relationships between them.

  • Deduplicate: Affinity often holds the same organisation across several lists. Collapse to one record before import.
  • Standardise enumerated fields — one spelling per stage, sector, round and owner — and normalise dates and amounts, especially round sizes and valuations.
  • Drop anything that did not survive the data-model exercise.
  • Import Companies first, then People linked to Companies, then Deals linked to both. Portfolio Companies, LPs and Co-investors come after the companies they reference already exist.
  • Map the Affinity ID to an external identifier during import, and spot-check 10 to 20 records per file.

Rebuild enrichment as AI attributes

Affinity pulls enrichment from premium data partners. Attio replaces part of that with AI attributes that fill themselves: summarise a company, classify it into a tier, or run a research agent that pulls funding stage and headcount from outside sources. Connect call intelligence so meetings transcribe and write back onto the record.

This is the step where the move starts paying for itself, because an analyst stops doing the manual research and data entry the CRM can now do on its own.

Affinity reports do not migrate. Recreate each one a partner actually opens as an Attio view or dashboard widget; most funds find a large share of the old reports were never opened.

Traps to avoid, and how long it takes

For a typical fund under 30 users with a portfolio and an LP base, budget two to four weeks end to end. The data movement takes a few days; the time goes into the model rebuild, the custom objects for portfolio and LPs, and standing up the rebuilt relationship tracking and AI enrichment. Heavy list customisation and external integrations push it to five or six weeks.

  • Treating it as export and import. The data move is the easy part; the model rebuild and the honest handling of the relationship gap are the work.
  • Carrying every list across. Three overlapping lists rebuilt as three overlapping lists recreates the mess in a new tool.
  • Expecting the relationship graph to transfer. Plan the rebuilt version on purpose instead.
  • Losing Affinity IDs in the export.
  • Cancelling before the parallel week. Affinity contracts are annual, so time the non-renewal rather than expecting a mid-term exit.

FAQ

Will we lose Affinity's relationship intelligence?

The proprietary strength scoring does not transfer, and this is the honest trade-off of the move. Attio syncs email and calendar natively and builds full interaction timelines, so who-knows-who is still visible, but it is not the same scored graph. Weigh this seriously if that scoring drives your sourcing.

Does interaction history come across?

Notes and opportunities move reliably. Historical interaction data depends on what your Affinity export includes, and we confirm exactly what can move during the audit before anything is promised.

How do Affinity lists map to Attio?

Most lists become Attio lists. The valuable exceptions are lists that have been stretched to model something else, LPs, portfolio companies, funds, and those become proper custom objects with their own attributes and relationships.

Can we model LPs and portfolio in Attio?

Yes, and it is usually the main reason funds move. LPs, portfolio companies, fundraising rounds, and talent introductions each become their own object with real relationships to your deal flow.

How long does the migration take?

Two to three weeks for most funds. The variable is how much of the fund has been living outside Affinity in spreadsheets, since that is the part being modeled properly for the first time.

Is Attio cheaper than Affinity?

Usually by a wide margin at fund scale. But the reason to move is modeling the whole fund in one place, not the seat cost. If Affinity fits your workflow, the saving alone is a weak reason to migrate.

Does Affinity's relationship intelligence come across?

No, and no tool can move it. You can export contacts and raw interaction records, but not the computed relationship strength, the intro-path ranking, or the years of automatic capture behind them. In Attio you rebuild the practical version from the same email and calendar sync plus attributes for last contact, frequency and owner.

How do Affinity lists map into Attio?

Not one to one, and that is the point. A deal-flow list becomes the Deals object with statuses; the portfolio list and the LP list become their own custom objects with real relationships. Rebuilding three overlapping lists as three overlapping lists just recreates the problem in a new tool.

Can we leave Affinity mid-contract?

Usually not — Affinity contracts are annual. Plan the migration against the renewal date, run both systems in parallel for a week with Affinity read-only, then keep read access for 30 to 60 days before the non-renewal takes effect.

Not decided yet?

We compared Affinity and Attio in full: data model, reporting, pricing, and the cases where Affinity is still the right answer.