
I use Clay to handle the complicated research and lead enrichment that other tools can’t do. What I like most is the “waterfall” enrichment feature: it lets me pull data from multiple sources at once, so if one provider doesn’t have an email, Clay automatically finds it through another source. The UI feels like a smart spreadsheet, which makes it easy to organize my work without needing to be a programmer. I also love Claygent, the AI agent, because it can visit company websites to find specific news or signals that I used to search for manually. That added intelligence has helped me build better GTM workflows and onboard new reps much faster. Review collected by and hosted on G2.com.
The biggest drawback for me is the learning curve. It’s clearly a very powerful tool, but it takes time to figure out how to build the most effective workflows and write prompts that work well with the AI. I also find the credit-based pricing a little difficult to predict. If you run a large list with too many enrichment steps, credits can disappear quickly, so you really have to plan your tasks carefully and keep an eye on what you’re running. On top of that, performance can sometimes feel a bit slow when processing thousands of rows at once, which definitely requires some patience. Review collected by and hosted on G2.com.





