Likelihood to Recommend
Salesforce Marketing Cloud is particularly well suited for automated marketing that includes multiple touch points like email, SMS, etc., where we need to automatically send triggered messages to customers based on their behavior or recommend products by sending personalized messages. It is a great tool that allows us to easily create and manage campaigns and to track and analyze customer behavior in order to optimize the campaign.
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I am over our HR data, and we use Workday for our HR management system. I have a script in place that runs reports on Workday and saves the results as CSVs. I can then use stages in Snowflake to insert these CSVs into Snowflake, then I can insert or truncate and replace these staged tables into a final schema. Then once these are in a schema I can reference them and build out my data models. In addition to ingesting CSVs, Snowflake has the ability to write a CSV file to our Amazon S3 bucket. Ingesting these CSVs, transforming the data, then delivering it to a destination would've involved so much more coding than my current process if we were on any other platform.
When you first engage with Evergage you have to make a choice on how you're going to use and deploy their product. Are you going to use it for, as is my case, an "in-app" deployment for your SaaS application or for your public facing website. We elected to use it for "in-app" first so we could build knowledge and have a measure of churn reduction. We've done well enough that we're developing a strategy for use on our public facing website now for better lead building and qualification. We're about to double our engagement with Evergage essentially. Evergage has been incredibly responsive. They use great customer service tools and eventually gave us our own account manager. As an IT person, once setup, I intentionally worked to remove myself from the product as a support means so our customer service people are working directly with Evergage and great things are happening. Evergage has just been constantly improving for the better.
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SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
Read full review Usability
You won't find another solution that has as many features as Salesforce Marketing Cloud Interaction Studio. We all know Salesforce, we all know how big they are and it's not for nothing... Their tools do most of the things you want, need and even imagine. Using it is complicated, but the usability is infinite.
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The interface is similar to other SQL query systems I've used and is fairly easy to use. My only complaint is the syntax issues. Another thing is that the error messages are not always the easiest thing to understand, especially when you incorporate temp tables. Some of that is to be expected with any new database.
Read full review Reliability and Availability
Read full review Performance
Evergage is quick loading and very responsive. We always have concerns about page load time and the integration of Evergage with our websites has never once caused any issue in this regard.
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It would be a full 10 except for a couple of times when it took over a week to get a response. Otherwise they are very responsive, very knowledgeable and very helpful. They really have a great team overall, not just support but even account reps are always eager to help and provide ideas and best practices.
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We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
Read full review In-Person Training
Training program is not very well established. There is very little documentations. More often than not it's in-person training. I wish there were more video tutorials so that somebody can learn the system quickly. Their documentation is very much like an RFP. Long and very technichal. They should definitly improve on this area.
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Read full review Alternatives Considered
Appcues - I like them. Very easy to use, which is the one main advantage they have over Evergage. That said their simplicity means the tool is limited in what it can do compared to Evergage. Plus Evergage's data logging capabilities in addition to messaging make it more useful for my needs.
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I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.
Read full review Scalability
We are using it for millions of visitors every months
Read full review Return on Investment Positive: allows better functionality without hiring or diverting a whole team of developers, which would be extremely costly. Positive: fits into our existing campaign structure neatly without needing a complicated separate process. Positive: support has been excellent and responsive, quickly aiding and resolving problems. Negative: can be too powerful, leading to campaigns that break if they are not thoroughly checked before deployment. Also, can become a crutch acting as merely a content management system when it's segmentation capabilities are not understood or explored. Read full review Positive impact: we use Snowflake to track our subscription and payment charges, which we use for internal and investor reporting Positive impact: 3 times faster query speed compared to Treasure Data means that answers to stakeholders can be delivered quicker by analysts Positive impact: recommender systems now source their data from Snowflake rather than Spark clusters, improving development speed, and no longer require maintainence of Spark clusters. Read full review ScreenShots