Retail Analytics Head
AI recommendation signal analysis across 91 domains for the Retail Analytics Head persona in Data Warehouse Lakehouse Platforms.
Many tables and charts on this page show only the top few results; the full data behind them runs far deeper. The complete report unlocks every row, chart, and download for this industry.
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Find your communities
Reddit is twenty years of unfiltered customer conversation, and a major LLM training source. These are the subreddits where this segment's topics get discussed and its brands get mentioned. Use them to pick the communities worth monitoring, joining, and earning a presence in.
Where the numbers come from
We scan every public Reddit comment and submission from 2005 through mid-2026 for this segment's topic phrases and brand hostnames. Topic Score weights every phrase match by that phrase's importance score for the segment, so core vocabulary counts for more than generic terms; raw match and mention counts are shown alongside. Comments and submissions stay separate on purpose: a community that discusses is different from one that shares links. Bot feeds, spam farms, and user-profile pages are filtered out as noise.
What's on this page
Top-subreddit charts and full tables for comments and submissions, sortable by topic matches or brand mentions, plus segment activity totals.
Reddit activity at a glance
Total Reddit activity touching Retail Analytics Head, 2005 through mid-2026. Posts, communities, and authors are distinct counts; average score is upvote score per matched post.
Comments
Submissions
Top subreddits by submissions
Where Retail Analytics Head's topics and brands show up in link and text posts. Topic Score is term-weighted relevance: every phrase match counts in proportion to that phrase's importance for this segment, so a community using the segment's core vocabulary outranks one that merely repeats its generic words (raw match counts stay in the table). Brand Mentions counts the segment's domains. Blended merges the two on a log scale (brand mentions weighted higher, 0 to 100) to surface communities strong on both. Bars link to the subreddit.
| Subreddit | Reach | Blended | Topic Score | Topic Matches | Brand Mentions | Activity Score |
|---|---|---|---|---|---|---|
| dataengineering | Niche | 83.7 | 195,501 | 12,624 | 3,193 | 255,272 |
| Scholar | Niche | 82.1 | 831 | 70 | 64,926 | 83,965 |
| AZURE | Niche | 79.3 | 12,369 | 915 | 7,551 | 53,223 |
Top subreddits by comments
Where Retail Analytics Head's topics and brands show up in discussion inside comment threads. Topic Score is term-weighted relevance: every phrase match counts in proportion to that phrase's importance for this segment, so a community using the segment's core vocabulary outranks one that merely repeats its generic words (raw match counts stay in the table). Brand Mentions counts the segment's domains. Blended merges the two on a log scale (brand mentions weighted higher, 0 to 100) to surface communities strong on both. Bars link to the subreddit.
| Subreddit | Reach | Blended | Topic Score | Topic Matches | Brand Mentions | Activity Score |
|---|---|---|---|---|---|---|
| PowerBI | Niche | 89.8 | 144,355 | 4,378 | 11,981 | 48,513 |
| dataengineering | Niche | 89.4 | 562,935 | 31,837 | 5,536 | 178,242 |
| AZURE | Niche | 87.4 | 15,068 | 1,151 | 26,190 | 61,842 |