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My main use case for Blueshift is to use it as a customer data platform, both to manage, curate, and update our customer segmentation and to integrate that data into our email templates.

A specific example of how I use Blueshift for customer segmentation or email integration is that we are able to build all our customer journeys, triggered campaigns, retention campaigns, and promotional campaigns in Blueshift. We have a robust customer experience that spans over hundreds of campaigns, so it is quite intricate to manage.

In addition to my main use case, I capture a wide amount of customer data at our organization and Blueshift does a fantastic job of organizing that data in a manageable way. Specifically in customer events, we are able to capture large amounts of time-sensitive data within each payload specific to that event. We can then trigger campaigns and segmentations off of that event data. This is essential to our success as a team and as an organization.

The best features Blueshift offers in my experience are customer data management and segmentation, intuitive and easy-to-use UI, quick and efficient customer support, and an intuitive user-friendly interface that allows me to manage complex data easily. Blueshift also offers robust features such as integration with Segment and other apps, retargeting with dynamic content pulled from data feeds and catalogs.

Out of those features, I find myself relying on the customer segments and recommendation tool in Blueshift the most day-to-day because it has helped with automating and personalizing our tags.

I would also add that the predictive score is very useful.

Blueshift has positively impacted my organization by allowing us to launch triggered marketing campaigns targeted to specific segments based on users' behaviors on-site and deliver relevant personalized content using the AI-based recommendations tool.

Blueshift can be improved by enhancing the reporting functionalities and ensuring that the flow of data is seamless.

I would also add that support should be more available 24/7.

I have been using Blueshift for three to four years.

Blueshift is very stable for my organization, as I have not experienced any downtime or lagging.

Blueshift's scalability is very impressive, as it can handle our data management, journey building, and customer events easily.

The customer support is a bit slow; they take time to respond, and they should improve.

I would rate the customer support as seven out of 10.

Positive

I previously used HubSpot Marketing Hub and I switched because I feel that Blueshift has ways to get before they get near some of the upper tiers, especially those that drive successes and are willing to be involved in the everyday marketing strategy.

I have seen better ROI with more precise targeting, which has become more adapted to pressure. It was long to put in place, however, so it is taking time, so we do not have to lose customers easily. Additionally, we have seen an increase in improved introduction of new email streams, automation of email, and the introduction of new products into mail, but it has slowed the process of getting all products in one system.

I have seen a return on investment, as Blueshift has had a tremendous impact on our email marketing KPIs. The based approach and recommendation tool has led to increased engagement.

My experience with pricing, setup cost, and licensing has been cost-effective, and the settings cost was also effective and easy.

Before choosing Blueshift, I evaluated other options such as Adobe Marketo Engage.

My advice to others looking into using Blueshift is that if you are looking for a tool to improve or to boost better segmentation, targeting, and intelligence which leads to higher revenue percent and better deliverability, Blueshift is the real deal. It is a highly recommendable tool for that work. I give this product a review rating of 8.

I use Adobe Target primarily for creating A/B tests and doing personalization.

The best features are the form-based and visual-based methods. The form-based method allows us to use languages like JavaScript, HTML, and CSS to create campaigns, while the visual-based method offers a user-friendly drag-and-drop interface to create campaigns. The audience segmentation feature is very useful as it integrates with Adobe Audience, allowing for better filtering and targeting of audience segments. These features are particularly useful for creating campaigns and personalizing them based on audience segments, targeting particular audiences easily after using Adobe Audience.

The customer support team is very slow in responding to queries. If the support team could be quicker in responding, it would be much improved. Sometimes the system slows down, and we need to move certain campaigns into the archive folder to prevent lag. Major lag occurs when there are a large number of campaigns.

I have been using Adobe Target for over eight years.

Sometimes the performance gets reduced, but overall, it is quite good.

Scalability is good, but performance can dip at times.

Customer support is quite slow and needs to be available 24/7. It is necessary to wait more than a day for a solution to a query.

Neutral

I am not using a previous solution.

The initial setup was straightforward.

I have already shared it. In two weeks, we achieved a six to seven percent increase in revenue.

It is not my part. It is the manager's part.

I evaluated Optimizely, VWO, Google Optimization, and AB Tasty.

Adobe Target is the simplest tool for A/B testing. The user interface is very easy to use, and it is self-explanatory. Just go and start by looking into the documentation provided on the Adobe site. I rate the overall solution a seven out of ten.