Who improves Salesforce adoption and trains users?
Salesforce Training and Adoption: The Partners The Shortlist Report Finds
10 firms lead, appearing in 9.1–14.5% of 55 AI responses. The sample cannot separate them, so we do not pretend it can.
No clear leader
No single firm dominates this question. Ten come up regularly and they specialise in different things, so the firm worth calling is the one that fits your situation rather than whoever sits highest.
Accenture8 of 55
Delivers large-scale global CRM transformations with Salesforce, data, AI, and integration capabilities for Fortune 500 companies.
Focus on Force8 of 55
Provides Salesforce admin certification training through self-paced courses, study guides, practice exams, and instructor-led sessions.
JPW Consulting8 of 55
Specializes in Salesforce adoption, change management, training, and end-user enablement at enterprise scale.
Slalom8 of 55
High-touch, U.S.-based Salesforce implementations for enterprise and upper mid-market organizations.
Deloitte6 of 55
Provides enterprise transformation and Salesforce implementation, particularly for operating-model redesign, governance, and data/compliance integration.
+5 more, tiedin the table
Based on 55 ChatGPT responses to this question, collected August 11, 2026–August 19, 2026. Firms are counted once per response. How we measure.
The ranking
| Firm | Responses | Share | |
|---|---|---|---|
| Tier 1 10 firms, 9.1–14.5% | |||
| Accentureaccenture.comDelivers large-scale global CRM transformations with Salesforce, data, AI, and integration capabilities for Fortune 500 companies. | 8 of 55 | 14.5% | |
| Focus on Forcefocusonforce.comProvides Salesforce admin certification training through self-paced courses, study guides, practice exams, and instructor-led sessions. | 8 of 55 | 14.5% | |
| JPW ConsultingSpecializes in Salesforce adoption, change management, training, and end-user enablement at enterprise scale. | 8 of 55 | 14.5% | |
| Slalomslalom.comHigh-touch, U.S.-based Salesforce implementations for enterprise and upper mid-market organizations. | 8 of 55 | 14.5% | |
| Deloittedeloitte.comProvides enterprise transformation and Salesforce implementation, particularly for operating-model redesign, governance, and data/compliance integration. | 6 of 55 | 10.9% | |
| Salesforce Trailhead | 6 of 55 | 10.9% | |
| Heller ConsultingSalesforce strategy, implementation, optimization and data work for nonprofits and mission-driven organizations. | 5 of 55 | 9.1% | |
| Newhouse Project ConsultingSalesforce change-management and user-adoption practice emphasizing training and resistance management. | 5 of 55 | 9.1% | |
| P3 Performancep3performancegroup.comSpecializes in Salesforce CRM adoption for sales teams, focusing on people, process and platform alignment. | 5 of 55 | 9.1% | |
| PwCProvides enterprise CRM and business-process transformation with Salesforce for large enterprises, especially regulated sectors. | 5 of 55 | 9.1% | |
Key findings
- No firm answers “Who improves Salesforce adoption and trains users?” reliably in ChatGPT. The most-named, Accenture, appeared in 8 of 55 responses (14.5%) collected August 11, 2026–August 19, 2026, and 9 other firms scored close enough that the sample cannot put any of them in order.
- Accenture, Focus on Force and JPW Consulting were named most often, in 8–8 of 55 responses. All 10 firms in the leading group are listed with their counts in the table below.
- 10 firms cleared the reporting threshold on “Who improves Salesforce adoption and trains users?” in ChatGPT as of August 19, 2026; the full table with response counts is below.
- Accenture appears in 10 of the 11 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 Accenture, Focus on Force, JPW Consulting, Slalom, Deloitte, Salesforce Trailhead, Heller Consulting, Newhouse Project Consulting, P3 Performance and PwC, named in 5 to 8 of the 55 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.
The test is McNemar’s at 95%, applied against the same 55 responses for every firm. The full reasoning, and what happened when we ranked one-to-N instead.
What the sample shows
10 firms lead this question: Accenture, Focus on Force, JPW Consulting, Slalom, Deloitte, Salesforce Trailhead, Heller Consulting, Newhouse Project Consulting, P3 Performance and PwC. They appear in 9.1–14.5% of the 55 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.
48 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 11, 2026–August 19, 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). Salesforce Training and Adoption: The Partners The Shortlist Report Finds. The Shortlist Report. https://www.shortlistreport.com/article/salesforce-training-and-adoption
Underlying counts: CSV · JSON. Every answer they were counted from: plain text · JSON. All reusable under CC BY 4.0 with attribution.