Blueshift Reviews

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.

Blueshift has been an excellent customer data platform for my company, especially because we deal with large amounts of data and need to manage it effectively.

A specific example of how I use Blueshift to manage my customer data is that it is especially useful for developing complex emails and campaigns based on several stored data points and API calls.

Blueshift offers intuitive user interface capabilities, the ability to manage complex data, and useful features, along with very top-notch support.

What makes the user interface intuitive for me is that it is very user-friendly and easy to customize and navigate for new users, and the support team stands out compared to others.

Blueshift has positively impacted my organization by being a powerful marketing tool and automation tool, and it has had a tremendous impact on my email marketing KPIs, with the AI-based approach and recommendation tool leading to an increase in engagement.

Specific outcomes that improved include more precise targeting, which is more adapted to our needs, although it was lengthy to implement and took time to fully realize. We managed the implementation carefully to avoid losing potential customers.

Blueshift can be improved in that reporting could be enhanced, especially regarding the user interface reporting.

In addition to reporting, onboarding also needs improvement.

Blueshift could also be improved in terms of UX, as it is not the best and should be enhanced.

I have been using Blueshift for five years.

Blueshift helps my team by having the user interface be the best of any email platform I have ever used, making complex tasks easy to implement, and the support has also been very top-notch and responsive.

I love the customer support at Blueshift, as they are very quick to respond to my queries.

Before Blueshift, I previously used Salesforce Marketing Cloud Email Studio.

I switched from Salesforce Marketing Cloud Email Studio to Blueshift because Blueshift's capability with events and segmentation is unmatched.

I have seen a return on investment with Blueshift, as it allows for the development of complex emails and campaigns based on multiple data points and API calls.

My experience with the pricing, setup cost, and licensing is that the price is very cost-effective and affordable, and the licensing cost is also very affordable and easy to set up.

Blueshift is deployed in my organization using a hybrid cloud deployment. I use Amazon as the cloud provider for my hybrid setup. I purchased Blueshift through the AWS Marketplace. I would rate this product 9 out of 10.

Blueshift serves as our primary customer data platform, enabling us to manage, curate, and update our customer segmentation while integrating that data into our email templates.

A specific example of how I use Blueshift for customer segmentation and email integration in my daily workflow is that it helps us build all our customer journeys, triggered campaigns, retention campaigns, and promotional campaigns. We have a robust customer experience that spans over 100 campaigns, so it is quite intricate to manage.

Blueshift handles the intricate campaigns effectively by efficiently managing the customer information that we need, placing it and displaying it in a concise manner.

We are able to capture a wide amount of customer data at our organization, and Blueshift does an excellent job of organizing that data in a manageable way.

Blueshift offers excellent features including customer data management and segmentation, an intuitive easy-to-use user interface, quick and efficient customer support, API connection, campaign management, and dynamic list creation.

Among those features, the one that has made the biggest difference for our team is the predictive audience targeting, which empowers our brands to identify customer likelihood to engage, purchase, churn, and more. I also appreciate the generative content creation, which transforms text and images into content that perfectly matches the tone and style that best resonates with our customers. Additionally, the product and contact recommendation helps to connect customers with the product and content that is most likely to drive the highest engagement in our organization.

Predictive audience targeting, along with channel and time intelligence, helps to optimize campaigns so that we are able to deliver them at a time and channel that resonates best with the target audiences.

Blueshift has positively impacted our organization in many ways over the past four years by helping us consolidate processes for getting our products into one system, improving and introducing new email streams, and automating emails, which saves us 30 to 50% of our time. The introduction of new products into the email has been seamless as well.

To improve Blueshift, the customer support should enhance their response time, and reporting should be accurate while ensuring that the flow of data remains seamless.

The data flow can sometimes be quite slow, and that aspect should definitely see improvement.

I think there should be an ability to move customers easily from one campaign to another with one click, which should be very seamless.

I have been working in my current field for four years and seven months.

Blueshift is very stable, with no downtime noticed, making it fast and reliable.

I find Blueshift to be scalable, as it helps capture a wide amount of customer data at our organization, and it does an excellent job of organizing that data in a manageable way.

Regarding customer support, the response to our queries is somewhat slow, but they manage to respond. However, they should work on their speed in responding to customer queries.

Positive

I previously used Salesforce Marketing Cloud Email Studio.

I switched from Salesforce Marketing Cloud Email Studio to Blueshift because Blueshift's capability with events and segmentation is unmatched. With other CDPs, we have not been able to replicate the ability to create an event based on customer behavior that captures a payload of information regarding that particular action. Blueshift goes way beyond its alternatives.

I have seen a return on investment with Blueshift, leading to better segmentation, targeting, and intelligence that has resulted in a higher revenue percentage and better deliverability in our organization.

In terms of pricing, setup cost, and licensing, the cost can be high for smaller organizations working on a tight budget. However, for our organization, the cost is more cost-effective and affordable.

Before choosing Blueshift, I evaluated SparkPost as an option.

My advice to others looking into using Blueshift is that it has enabled us to capture a large amount of time-sensitive data within each payload, specifically regarding events. We can trigger campaigns and segmentations off that event data, which is essential to our success as a team and an organization. Therefore, it is a highly recommended tool, especially when managing large amounts of customer data that need to be organized.

The predictive score is useful for pushing content at the right time to potential customers.

I would rate this product an 8 out of 10.

My main use case for Blueshift is cross-channel customer engagement and lifecycle marketing. Freshworks has a large customer base across multiple products, and the challenge is communicating with different segments in a relevant, personalized way across email and push.

Blueshift has significantly impacted my organization. The time from insight to campaign used to involve a data request, a wait for the data team, a CSV export, and a manual upload. Now a marketer can identify a segment and have a campaign live the same day.

I can put some numbers to that. Email engagement rates went up about 25% after we switched from batch sends to behavioral triggered campaigns, which is not surprising because the messages are more relevant. Our onboarding completion rate improved by around 22% in the first six months after rebuilding those journeys in Blueshift. We have seen a measurable reduction in early churn in customer cohorts that went through the new onboarding experience versus the old one, somewhere around 15% reduction, which is significant at our scale.

When I open Blueshift, the first thing I do is check campaign health, looking at sends, deliverability, open rates, and click rates across active journeys. If something looks off, I want to catch it early before it compounds. A big chunk of my day is spent on segment building. Blueshift segmentation is really powerful. You can build audiences based on behavioral data, predictive scores, event history, and custom attributes. I am constantly building and refining segments for different campaign needs. That might be identifying customers who have not logged in for 30 days, or customers who used a specific feature and are candidates for an upsell, or customers showing churn signals based on usage drop.

Blueshift's best features, which deliver the most value for me day-to-day, are behavioral triggers. The ability to fire a campaign based on something a customer did or did not do in real time is the core of what makes our lifecycle marketing work.

The biggest frustration or friction point I have hit with Blueshift is the learning curve on journey logic.

There are features I wish Blueshift had that it does not offer today, specifically better native reporting.

If I could change one thing about Blueshift to improve my workflow, it would be the journey testing experience. Right now, testing a complex journey properly requires a lot of manual simulation: setting up test profiles, manually triggering events, and checking outputs. If there was a proper journey simulation mode where you could walk a test customer through a journey and see exactly what they would experience and when, that would dramatically reduce the time we spend on quality assurance before launch and the mistakes that slip through.

I have been familiar with Blueshift for about two years.

Support and the customer success team at Blueshift have been genuinely good, which is something important to know about Blueshift.

Before landing on Blueshift, I was using a combination of tools: a separate email service provider for email, a different tool for push notifications, and some manual segmentation work being done in the data warehouse and handed off. Everything was siloed.

It took about three months to get up and running with Blueshift, connecting our data sources, setting up the profile schema, and getting the first journeys live.

My team needed formal training on Blueshift to some extent. Blueshift is reasonably intuitive for marketers once they understand the core concepts: segments, journeys, and recommendations. The harder thing was getting people comfortable with the AI and predictive features because that requires a different way of thinking about campaigns.

I considered Braze and Iterable seriously alongside Blueshift. Braze is the obvious competitor in this space and has a really strong product with good regard. Blueshift's CDP plus execution combination was the deciding factor, along with the AI recommendations. The ability to do personalized product and content recommendations across channels using machine learning without needing a separate recommendations engine was something we had not seen done as cleanly in the other platforms.

Adoption overall has gone well. The marketing team adopted the campaign and journey features quickly because the user interface is clean and the results were visible early. Blueshift's predictive features took longer to adopt. People needed to see the lift data before they trusted the AI recommendations over their own instincts.

There are no features that came up during implementation that I thought I would use but do not actually rely on much today. No problems exist with the paid media integrations.

My advice to someone considering Blueshift who has a similar workflow to mine is to spend real time on your data model before you start building campaigns. I would rate this review at 9.5 out of 10.