A methodology-first look at 1,210 Google and 495 Glassdoor partner records in one unique public Dynamics cohort.
TL;DR
✓Ratings can be useful when you are shortlisting a Dynamics 365 partner. They are not a substitute for checking fit, delivery experience, references, scope, or commercials. This analysis rebuilds one stable cohort of 1,507 unique public, non-hidden Dynamics VAR and mixed-model partners from the current directory.
✓Snapshot: queried July 23, 2026 at 9:06 PM UTC; newest included source or theme timestamp June 23, 2026 at 11:39 AM UTC; method 2026-07-23.v2.
✓Among 949 partners with a usable Google rating, the unweighted partner average is 4.55 out of 5. Review volume is uneven: 426 partners have 1–5 Google reviews, 313 have 6–20, and 210 have more than 20.
Ratings can be useful when you are shortlisting a Dynamics 365 partner. They are not a substitute for checking fit, delivery experience, references, scope, or commercials. This analysis rebuilds one stable cohort of 1,507 unique public, non-hidden Dynamics VAR and mixed-model partners from the current directory.
Snapshot: queried ; newest included source or theme timestamp June 23, 2026 at 11:39 AM UTC; method 2026-07-23.v2.
What the two review sources measure
The cohort contains Google source records for 1,210 partners containing 26,875 Google reviews and Glassdoor source records for 495 partners containing 104,434 Glassdoor reviews. 421 partners have a source record on both platforms. Google usually reflects customers, prospects, visitors and local interactions; Glassdoor is employee- and candidate-authored. Neither is a direct implementation-quality measure.
Google ratings are concentrated at the high end
Among 949 partners with a usable Google rating, the unweighted partner average is 4.55 out of 5. Review volume is uneven: 426 partners have 1–5 Google reviews, 313 have 6–20, and 210 have more than 20.
Partners per Google rating band; each partner contributes once.
Google rating band
Distinct partners
1.0–1.9
8
2.0–2.9
13
3.0–3.9
76
4.0–4.4
209
4.5–5.0
643
Glassdoor has a different shape
Among 495 partners with a usable Glassdoor rating, the unweighted partner average is 3.74 out of 5. Different audiences and review processes mean the distribution should not be read as a direct scorecard against Google.
Partners per Glassdoor rating band; each partner contributes once.
Glassdoor rating band
Distinct partners
1.0–1.9
8
2.0–2.9
51
3.0–3.9
234
4.0–4.4
117
4.5–5.0
85
Where the two ratings land for the same partner
The paired view contains 340 partners with usable records on both sources. Their unweighted averages are 4.47 on Google and 3.75 on Glassdoor. Each point below is a real paired partner record; deterministic jitter makes identical rating pairs visible without changing either value.
Paired scatter: one point per distinct partner. Position is the stored Google and Glassdoor rating; jitter only separates overlapping points.
Google rating band
Glassdoor 1.0–1.9
Glassdoor 2.0–2.9
Glassdoor 3.0–3.9
Glassdoor 4.0–4.4
Glassdoor 4.5–5.0
Row total
1.0–1.9
0
3
2
0
0
5
2.0–2.9
0
0
1
1
0
2
3.0–3.9
1
4
19
9
1
34
4.0–4.4
0
6
57
20
8
91
4.5–5.0
2
19
87
51
49
208
Column total
3
32
166
81
58
340
What the tagged review themes surface
The directory holds validated AI-generated client-review theme tags for 576 eligible partners, with 9,222 stored tag occurrences. Theme rows are deduplicated by listing ID before aggregation. These are labels applied to review text, not a survey or independent performance measure.
Top five positive labels followed by top five negative labels; labels can appear in both groups.
Positive label
Stored tag occurrences
Negative label
Stored tag occurrences
Professionalism
643
Communication Issues
50
Client Satisfaction
359
Customer Service
32
Service Quality
261
Customer Support
30
Customer Service
224
Communication
26
Technical Expertise
199
Responsiveness
21
Customer Support
168
Service Quality
19
Responsiveness
129
Billing Issues
18
Expertise
128
Project Management
12
Support Quality
115
Professionalism
11
Reliability
84
Reliability
11
A practical way to use review evidence
Use the partner directory to identify firms with the product, industry and geography you need.
Read recent reviews, not only the aggregate score; note whether the reviewer context is customer- or employee-facing.
Ask shortlisted partners for references similar to your implementation scope and complexity.
Use the comparison tool to put specialization, service and directory information side by side.
Discuss recurring themes directly and test the answer against references and the proposed delivery plan.
Methodology and limits
The denominator is rebuilt from listings_v2 using status = 'active' AND website_hidden_at IS NULL AND dynamics_partner_type IN ('var', 'mixed'). Eligible IDs use stable ORDER BY id pagination, are deduplicated before related queries and must match an independent server-side exact count of 1,507 partners with zero repeated IDs. Review rows are canonicalized once per listing and platform; legacy google_maps is grouped into Google and a current google row wins when both exist. Usable values require a stored 1.0–5.0 rating and an integer review count of at least one. Theme rows are reduced to one latest row per listing ID before labels are aggregated. Rating averages are unweighted by review count.
Coverage is not random. Missing profiles, platform audiences, moderation, review age and AI-assisted theme classification all limit inference. This article does not rank partners or infer customer outcomes from ratings.
Share this analysis
LinkedIn: We rebuilt a unique cohort of 1,507 public Dynamics VAR and mixed-model partners and paired current Google and Glassdoor records without double-counting. The result is a due-diligence aid, not a partner ranking. →
X: 340 D365 partners have usable Google + Glassdoor rating pairs in the current public cohort. See the accessible scatter, distributions and methodology →
George Brown has over 40 years of experience in the Microsoft Dynamics ecosystem, including leadership roles at Partner Economics, Jet Global, and Aston Group NA.
Microsoft Dynamics Expert40+ Years ERP Experience500+ ERP Implementations Overseen
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