USE CASE:

Change detection for SaaS companies, start to finish

Here is how change detection for SaaS companies actually gets done, what it costs each way, and where each way stops working. We are Mamba Labs, we build Apify actors, and Company Change-Event Feed is the one that does this for SaaS companies.

What is actually going wrong

SaaS companies distort change detection, for a reason specific to them. SaaS companies sell to other businesses and publish almost nothing about their own numbers, which shapes change detection. One thing change detection on SaaS companies rarely accounts for: headcount flatters them, because contractors and alumni linger on a company page for years. If you would rather try it than read about it, Company Change-Event Feed does change detection for SaaS companies today.

How we would run it

  1. Start with one of SaaS companies you already know, so a wrong change detection answer is obvious rather than plausible.
  2. Run Company Change-Event Feed across your list of SaaS companies, which carries 1 ready made setup for change detection.
  3. Read ten rows of change detection on SaaS companies by hand before you trust the rest of the list.

Traditional Search Tools

  • G2, for SaaS companies. Categories and review counts, free to read, and it only covers vendors that asked to be listed.
  • Your CRM's field history. Salesforce tracks field changes and most people never look. It is free, it is already on, and it only knows about fields your own team edits.
  • A warehouse snapshot table. If you have a data team, an append only snapshot answers this permanently and costs almost nothing to store.
  • Keep last quarter's export. Export the fields you care about, keep the file, diff it against the next one. It works, and it takes ten minutes per quarter.

Preconfigured tasks

A task is one of these actors with the inputs already filled in for a specific version of this job. Open one, swap in your own list, and run it without setting anything up from scratch.