Who can migrate us from another CRM to Salesforce?
CRM Migration Into Salesforce: What The Shortlist Report Finds
3 firms lead, appearing in 18.4–21.4% of 370 AI responses. The sample cannot separate them, so we do not pretend it can.
Three firms lead
Colby, Deloitte and Accenture come up most often here. They are close enough together that the order between them is not worth reading anything into.
Colby79 of 370
Deloitte72 of 370
Provides enterprise transformation and Salesforce implementation, particularly for operating-model redesign, governance, and data/compliance integration.
Accenture68 of 370
Delivers large-scale global CRM transformations with Salesforce, data, AI, and integration capabilities for Fortune 500 companies.
Based on 370 ChatGPT responses to this question, collected August 8, 2026–October 29, 2026. Firms are counted once per response. How we measure.
The ranking
| Firm | Responses | Share | |
|---|---|---|---|
| Tier 1 3 firms, 18.4–21.4% | |||
| Colby | 79 of 370 | 21.4% | |
| Deloittedeloitte.comProvides enterprise transformation and Salesforce implementation, particularly for operating-model redesign, governance, and data/compliance integration. | 72 of 370 | 19.5% | |
| Accentureaccenture.comDelivers large-scale global CRM transformations with Salesforce, data, AI, and integration capabilities for Fortune 500 companies. | 68 of 370 | 18.4% | |
| Tier 2 7 firms, 11.4–14.3% | |||
| Slalomslalom.comHigh-touch, U.S.-based Salesforce implementations for enterprise and upper mid-market organizations. | 53 of 370 | 14.3% | |
| CRM Sciencecrmscience.comSalesforce Summit Consulting Partner providing Lightning migration, org optimization, and managed services with SLAs. | 51 of 370 | 13.8% | |
| RSMImplements Salesforce and NetSuite for mid-market and larger companies; also supports Sage Intacct and Dynamics 365. | 51 of 370 | 13.8% | |
| ForceFolksforcefolks.comImplements CPQ, Revenue Cloud, billing, and quote-to-cash solutions with managed services for mid-market and enterprise. | 48 of 370 | 13.0% | |
| Forceryforcery.comOffers Salesforce consulting including org optimization, Classic-to-Lightning migrations, and Marketing Cloud/Pardot implementation. | 47 of 370 | 12.7% | |
| WNCMigrates data from legacy CRM systems to Salesforce. | 44 of 370 | 11.9% | |
| Ksolvesksolves.comHandles Dynamics 365 to Salesforce migration, complex data integration, and enterprise Salesforce implementations. | 42 of 370 | 11.4% | |
Key findings
- Colby, Deloitte and Accenture lead this sample, each named in 18.4–21.4% of 370 ChatGPT responses to the question “Who can migrate us from another CRM to Salesforce?”, collected August 8, 2026–October 29, 2026.
- The gaps between Colby, Deloitte and Accenture are inside the margin of error at 370 responses, so The Shortlist Report groups them in one tier rather than ranking them against each other.
- 10 firms cleared the reporting threshold on “Who can migrate us from another CRM to Salesforce?” in ChatGPT as of October 29, 2026; the full table with response counts is below.
- Accenture appears in 11 of the 13 Salesforce and CRM implementation partners reports published by The Shortlist Report, the widest coverage of any firm named on this page.
- No firm paid to appear in this ranking; placement cannot be bought, and the counts come from ChatGPT responses rather than from submissions.
Why the tiers fall where they do
Tier 1 holds Colby, Deloitte and Accenture, named in 68 to 79 of the 370 ChatGPT responses. They are grouped rather than ranked because the gaps between them are inside the margin of error at this sample size — one extra mention would reorder them, so an order would be reporting noise as a finding.
Tier 2 holds Slalom, CRM Science, RSM, ForceFolks, Forcery, WNC and Ksolves, named in 42 to 53 of 370 responses (11.4–14.3%). The sample does separate these firms from the tier above: the difference from the leading group is larger than the margin of error, which is what puts them in a tier of their own.
The test is McNemar’s at 95%, applied against the same 370 responses for every firm. The full reasoning, and what happened when we ranked one-to-N instead.
What the sample shows
3 firms lead this question: Colby, Deloitte and Accenture. They appear in 18.4–21.4% of the 370 responses. The gaps between them are inside the margin of error at this sample size, so they are listed together rather than ranked against each other.
287 firms were named at least once across the sample. 10 of them cleared the threshold of 2 responses and appear above; the rest were named once and are inside the noise.
How to read this
Firms are grouped into tiers, not ranked one to fifteen. A tier holds every firm whose 95% confidence interval overlaps the leader's, which is a long way of saying the sample cannot tell them apart. Order within a tier is arbitrary — read the counts, not the position.
Share is the percentage of responses that named the firm — not a quality score. A firm scoring low here may be excellent and simply under-written about online, which is a finding about its visibility rather than its work.
The same question was asked repeatedly because AI assistants do not answer identically twice. A single response would tell you almost nothing.
What this measurement does not tell you
- It is not a quality ranking. Share reflects how much has been written about a firm online, which is what an AI assistant reads. A capable firm nobody writes about scores low here.
- It is a reading from a date range, not a permanent standing. This sample was collected August 8, 2026–October 29, 2026; models change and so do their answers.
- It covers ChatGPT only. Other assistants answer differently, and we do not extrapolate across engines we have not measured.
- Order within a tier is arbitrary. Read the counts, not the position. Why we use tiers.
Cite this report
The Shortlist Report. (2026). CRM Migration Into Salesforce: What The Shortlist Report Finds. The Shortlist Report. https://www.shortlistreport.com/article/salesforce-migration-partners
Underlying counts: CSV · JSON. Every answer they were counted from: plain text · JSON. All reusable under CC BY 4.0 with attribution.