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Microsoft Dynamics 3656 min read

What D365 Partners Blog About — And What It Reveals About Their Public Expertise

By George Brown

An evidence-led review of 5,040 substantive partner blog posts: topic patterns, distinct-post product coverage and reproducible profile overlap.

TL;DR

  • A partner blog can be a useful due-diligence signal, but it is not a credential. This analysis covers 5,040 substantive posts from 576 partner profiles inside one stable public cohort of 1,507 active, visible Dynamics VAR and mixed-model partners.
  • Current coverage: 576 of 1,507 eligible partners (38.2%) have at least one substantive analyzed post. The read-only snapshot was queried July 23, 2026 at 9:06 PM UTC; the newest included analysis update was April 2, 2026 at 11:57 AM UTC.

A partner blog can be a useful due-diligence signal, but it is not a credential. This analysis covers 5,040 substantive posts from 576 partner profiles inside one stable public cohort of 1,507 active, visible Dynamics VAR and mixed-model partners.

Current coverage: 576 of 1,507 eligible partners (38.2%) have at least one substantive analyzed post. The read-only snapshot was queried ; the newest included analysis update was April 2, 2026 at 11:57 AM UTC.

View 1: what partners publish most often

Top substantive-post topic categories Bars count distinct substantive blog-post rows in the eligible cohort. Case and whitespace variants are grouped. Dynamics 365 Business Central916Digital Transformation608Industry Insight396How-To Guide315Product Update231Azure136Microsoft 365130Cybersecurity106Dynamics 365101Power BI94Dynamics 365 Finance & Operations77Company News67
Top AI-extracted topic labels after case and whitespace normalization. These are content labels, not market-share categories.
Topic categoryDistinct substantive posts
Dynamics 365 Business Central916
Digital Transformation608
Industry Insight396
How-To Guide315
Product Update231
Azure136
Microsoft 365130
Cybersecurity106
Dynamics 365101
Power BI94
Dynamics 365 Finance & Operations77
Company News67

View 2: product attention versus profile listings

Product mentions use alias map 2026-07-23.v1. Each product family is counted at most once per post, even when an extractor array contains several aliases such as “Azure” and “Microsoft Azure.” Profile counts are distinct eligible partners, not junction rows.

Distinct blog posts and partner profile listings by normalized product family For each product, the upper blue bar shows distinct substantive posts and the lower gold bar shows distinct eligible partner profiles. Each series has its own maximum because the units differ. Distinct postsPartner listings Business Central1,654918Power BI718884Microsoft 3656851,035Azure6161,061Power Platform371609Finance323331Power Automate275246Sales197522
Two units are shown deliberately: distinct substantive posts and distinct partner profiles. Bar lengths are scaled within each unit and should not be read as a shared percentage.
Product familyDistinct posts mentioning itPartners mentioning itPartners listing it
Business Central1,654350918
Power BI718279884
Microsoft 3656852931,035
Azure6162691,061
Power Platform371191609
Finance323116331
Power Automate275163246
Sales197111522
Power Apps164110268
Supply Chain Management14664289

View 3: reproducible partner-level overlap

The overlap population contains 474 partners with both at least one mapped blog-product mention and at least one mapped listed product. Of those, 443 mention at least one family they also list (93.5%). This denominator is rebuilt from the joined partner sets on every run; it is not the total eligible cohort and not the number of posts.

Product familyMentioning partnersListing partnersPartners in both
Business Central350918243
Power BI279884194
Microsoft 3652931,035236
Azure2691,061219
Power Platform19160982
Finance11633146
Power Automate16324628
Sales11152256
Power Apps11026821
Supply Chain Management6428921

View 4: how concentrated is publishing?

Among partners with substantive posts, the median is 9.0 posts and the mean is 8.8. Volume is a publishing signal, not a measure of delivery capacity.

Substantive posts per covered partner Histogram bins count eligible partners by their number of substantive analyzed posts. 1312–3774–5576–1027111–2512726+13
Distribution of substantive-post counts across the 576 covered profiles.
Substantive posts per partnerPartners
131
2–377
4–557
6–10271
11–25127
26+13

View 5: who the posts appear to address

Audience values are free-text AI extractions. Case and whitespace variants are grouped, but semantically similar phrases remain separate rather than being forced into an unsupported taxonomy.

Most frequent extracted target audiences Bars count distinct substantive posts carrying each normalized free-text audience label. existing Business Central users199IT managers evaluating ERP51IT managers evaluating ERP solutions51Existing Dynamics GP users17IT managers and security professionals17IT managers and business leaders15IT managers and cybersecurity professionals15IT managers evaluating CRM solutions9IT managers evaluating ERP systems9Existing Dynamics 365 users8
Most repeated target-audience labels in the eligible substantive-post cohort.
Extracted target audienceDistinct substantive posts
existing Business Central users199
IT managers evaluating ERP51
IT managers evaluating ERP solutions51
Existing Dynamics GP users17
IT managers and security professionals17
IT managers and business leaders15
IT managers and cybersecurity professionals15
IT managers evaluating CRM solutions9
IT managers evaluating ERP systems9
Existing Dynamics 365 users8

How to read a partner’s blog without over-reading it

  1. Look for specificity. A useful post identifies a product, process, constraint or implementation decision—not only a trend.
  2. Check recency and continuity. A current series can be more revealing than a single old post.
  3. Ask for delivery evidence. Public writing can inform your questions, but references, scope and governance remain stronger evidence.

Methodology and limitations

The denominator is rebuilt from listings_v2 using status = 'active' AND website_hidden_at IS NULL AND dynamics_partner_type IN ('var', 'mixed'). The generator then fetches every blog_post_analyses row and canonical listing_products link for those IDs with stable ordered pagination. Of 5,974 analyzed pages in the cohort, 5,040 are explicitly marked substantive. Product normalization uses the exact, versioned 2026-07-23.v1 map; unmapped values are excluded from product and overlap views rather than inferred. 3,067 substantive posts across 505 partners contain at least one mapped product family, while 1,429 eligible partners have at least one mapped canonical product listing.

Topic, audience and product values come from AI-assisted extraction of public pages and can contain classification error, language variation and missing context. A mapped overlap requires only one mention; it does not measure project depth, certification, recency, implementation quality or customer outcomes. See our methodology and how we collect data for the dataset’s scope.

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LinkedIn: We analyzed 5,040 substantive posts from 576 public Dynamics partner profiles. The patterns are useful when treated as due-diligence prompts—not expertise scores. →

X: 5,040 substantive D365 partner posts, one stable public cohort, distinct-post product counts, and a reproducible profile-overlap view. Here is what the public signal can—and cannot—show. →

George Brown
George Brown

Co-Founder & CEO

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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