Clay vs. Cloudingo

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.

Incentivized

Cloudingo is great at mass merging account and contact records based off a specific criteria instead of having to do it manually within the record in SF. It also is easy to analyze a record while in a mass merge to see if you need to edit some values. However, having other standard objects would be very beneficial and even having it for custom objects could be helpful.

Incentivized

• Pros, I think there are a lot of pros, so I mentioned a couple of them already, so being able to use different data providers. I think being able to massage the data, I call it a data orchestration where I can get different points of inputs of data. I can throw everything in Clay and then I can make all the changes before I use them for campaigns, for email, for LinkedIn, for whatever reason I'm going to use my data, but it's really easy to enrich, it's really easy to do research. It's really easy to build agents that tie to each row in your dataset, like there are a lot of things that you could use it for that are huge pros.

Incentivized

• Cloudingo displays a single dashboard view of the quality of data you have in Salesforce. You no longer have to guess how much of your CRM is "clean" or "dirty".
• Cloudingo allows you to test functionality in Salesforce Sandbox prior to conducting changes in Salesforce Production. I highly recommend thoroughly testing functionality prior to making changes in your live CRM.
• Cloudingo allows you to mass merge and converts records automatically and manually either individually or in groups. This saves a lot of manual time in trying to keep your CRM's data clean.

Incentivized

• A max column limit. I run into the column limit all the time and kind of have to figure out using multiple tables. Just bugs really. I mean if you start getting too crazy on it, I feel like takes a long time. You can't really identify that it's working or if it's not. So that kind of slows things down a little bit.

Incentivized

• I would love to have a multi-user mode. I realize this very difficult though given I as an admin can see records my peers cannot.

The software is well suited in lead scoring and workflows management. Product reliability in customer outreach management and segmentation. The product is worth it from pricing to quality ecommerce services and automation of processes.

Incentivized

We spend enough money on Salesforce that the cost of Cloudingo when compared with its benefits is extremely small. We've been able to see measurable KPIs move as a result of the work we've done with Cloudingo

I think it's actually before the launches today, I would say eight, but after they launch, what's the name of the product? I dunno if it was the web intent or the sculpture. 10, because I think that the sculpture was the missing part of plates till now.

Incentivized

Very usable. I have not spent enough time to fully grasp the capabilities. The interface is fairly intuitive, and I think with more time, I would grasp it very well.

Incentivized

I have had to reach out to Cloudingo support several times. They almost always respond that same day. Often times they will call me directly to fix the problem or walk me through best practices. They even reach out after the fact to make sure that everything worked okay. They are also kind and personable.

Incentivized

For us it was just a matter of committing the 10 minutes to install it from the AppExchange. It automatically builds out a dashboard based on standard filters and you get a lot of insight from them. We then copied some of the standard ones and pulled two from a filter library that rounded out what we needed. I wish I had done this months before given how little of my time it actually took.

So in a sense, there is a large community, and because of the community you also learn multiple workflows and how to use it better. You can kind of democratize or source knowledge more easily on how to use the product, and also transfer it so other people can use it more easily. So in a sense, that works.

Incentivized

We considered DemandTools CRMFusion. As a small company with a limited budget, it was considerably more expensive than Cloudingo. It also was an installable, on-premise piece of software which is a big drawback. While the reviews of CRMFusion on TrustRadius were very positive, it appeared to have a steeper learning curve as well. So the combination of cloud-based, easier-to-use, and lower price led us to select Cloudingo over CRMFusion.

Incentivized

• Without Clay we would probably have our agency, but not with the level of sophistication we have right now or really one of our USP that we are certified by Clay. That's how we get a lot of inbound leads as well. So that of course leads to a very healthy ROI. If we look at inbound.
• I think negative as terms in negative ROI, I think this is a nice one to touch on. Expectation management for tooling such as Clay is extremely difficult because people see a lot of stuff happening on LinkedIn from the top 1% of Clay experts and they look at us and "hey, we want the same thing," basically. That's quite a challenge. So that's really a good conversation to have with your potential client as well. Like, "Hey, I know, tell me what you've seen. We're going to see what we can do if that's reasonable or not." Set realistic expectations there and don't expect to go from zero to 100 within a very small time window. So that was something we had to learn. We had a lot of unrealistic expectations for what we can do. We can improve your business, but we can't do it with a factor of X or in a period of eight weeks.

Incentivized

• Neglected and not used due to destructive automation
• Fear of cleaning up data
• Not wanting a human to do proper cleansing

Incentivized