I find a comparison more useful when every product has a clear job to perform. A row of feature names can help prepare the evaluation, but it won't tell you how the result fits your day.
Write one customer problem, define what a useful match looks like, and try the process around it. That gives you a common basis for deciding where the tools help and where your team still has work to do.
Record the conditions that affect the results
Use a comparable review period and record the plan, source scope, filters, and limits for each product. If coverage differs, keep that difference visible. You can't establish an overall recall winner from one feed being larger when the underlying scope differs.
Don't equate alert quotas, lead quotas, credits, or contact counts. Check what each unit means and what action consumes it. Compare the complete plan you would use.
Inspect the result and the next action
Read a sample yourself and apply the same fit criteria. Then try what your team needs to do after discovery: route a mention, inspect a lead, edit a reply, or prepare a handoff. Record time and manual steps.
For ICPSignal, that includes the original post, fit explanation, draft review, and conversation process. For another product, evaluate the features it actually documents for the same need. Don't assume an unmentioned capability is absent.
- Was the result relevant under the shared brief?
- Could you explain why it matched?
- Was the necessary context available?
- Could you complete the next action?
- How much review and maintenance did the process require?
Choose based on the work you observed
Review the counts alongside examples and the conditions of the test. Note unresolved questions and avoid turning a small trial into a universal performance claim. Your result can still support a useful decision for your team.
I'd keep the explanation simple: this setup covers the sources we need, helps us make the right decisions, and fits the effort we can maintain. That is a stronger basis for a purchase than winning the most rows in a feature table.