Item: Clay
Rating: 10
Author: Verified User

Overall Satisfaction with Clay

Use Cases and Deployment Scope

We implement Clay for other companies who are B2B SaaS and we help them with sales automation. We also help them with CRM enrichment and data cleanup. The best thing about Clay is that it allows you to create a data orchestration layer and get data from different data providers. It has like 200 plus data providers and also integration with AI models like Open AI and cloud. So I actually love the product and help other companies implement it in their systems.

Pros and Cons

Pros

The data orchestration is really good. You can actually, instead of using Google Sheets, you can import all the data into Clay and then use conditional runs or data enrichments to get from point A to point B. For example, you're creating sales automation for your company. You could create lists using Clay, using their fine companies tool, and then you could find out the prospects and those companies are using find people and then you can enrich their content information and create messaging using AI. So that's specifically what we do and love using it.

Cons

The first thing that I would like to see in Clay is data analysis. You can analyze the rows, but you cannot analyze the whole data set and get insight out of it. For example, you want to analyze top 10 rows, then you need to use a different tool for that. You need to download the CSV and then import it to some other tool. Let's say I want to analyze 100 rows with different data points and different catalog columns. I have to download it and then upload it to cloud to get some insights out of that as a whole data set. That's something that I would look like to use in Clay.

Return on Investment

For my own company, I run another company which helps real estate agents with digital transformation and we were able to get 20 subscriptions in one month using sales automation using Clay, and as far as we implemented for the company. So I just helped this company that helps HPAC contractors with e-commerce functionalities and we built a pipeline of $500,000 for them within three months. It actually fast tracks building your sales pipeline using AI and you would not need the manual tasks that you would often do your or SDRs would do usually. So yeah, those are the results that I've got and really, really I like those.

Usability

Alternatives Considered

I have not figured out any other product in this space. There is no direct competitor of Clay and that's what makes it different and unique.

Key Insights

Do you think Clay delivers good value for the price?

Yes

Are you happy with Clay's feature set?

Yes

Did Clay live up to sales and marketing promises?

Yes

Did implementation of Clay go as expected?

Yes

Would you buy Clay again?

Yes

Likelihood to Recommend

Sales automation is the most suited use case of Clay. You could generate GTM motions that are auto triggered by the signals, so you could actually create workflows that are triggered on specific signals. For example, a company gets new funding, you can reach out to the company within in a matter of minutes and you can track a lot of news that's happening on Google or using RSS feeds. You can patch that news into Clay and then manipulate that and get insights out of it. The second best use case is the data enrichment or data cleanup. Usually companies have CRMs with messy data. You can import that. Clay has native integrations with Salesforce, HubSpot, Pipedrive, Marketo, and you can import those lists into Clay and then clean the data, enrich the data, and then push that forward, update the data in the CRMs. That's the second best use case that I use it for and would recommend it for.

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