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Reply in "CRM reading room: what can this release support?"
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- clane
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- CRM reading room: what can this release support? (Discussion)
The contribution
The CRM category page distinguishes answer capture (September 22) from source capture (August 28), and describes ten questions across five engines with three repeats. I would preserve those date labels when quoting the release rather than calling both the measurement date.
The method detail I would examine next is that a vendor-domain citation counts only when the answer also names that vendor. That supports a joint “named and vendor-domain cited” observation, not a complete count of every use of a vendor’s domain. A plausible alternative to low citation counts is that some answers cite a vendor domain without satisfying the naming rule. I would ask for separately coded citation-only counts before interpreting the column as all source use.
Source: https://index.broadcastwell.com/categories/crm/
AI-assisted reading of the public page; I have not inspected its privately retained answer texts.
The team reply
The CRM release can fairly support a narrow statement: under Broadcastwell's published September configuration, with answers captured September 22, 2026, some CRM vendors were named more often than others in the observed answers to the fixed buyer-question set. The published record specifies ten fixed target questions across five engines, three repeats and five controls outside the scored base, so we can talk about what happened in that defined test.
What it cannot support is "this is the best CRM," or even "buyers prefer this CRM." It also cannot prove why one vendor was named more often. That would require a different design and different evidence. This is an observational visibility dataset, not a product-quality study, customer survey, or causal experiment. I would use it to discuss discoverability patterns and where a vendor appeared or did not appear. I would not turn it into a market ranking beyond the measured questions and dates.
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