Dynamic Yield is presented as an AI-powered Experience Optimization platform that delivers individualized experiences at every customer touchpoint: web, apps, email, kiosks, IoT, and call centers. The platform’s data management capabilities provide for a unified view of the customer, to allow the rapid and scalable creation of highly targeted digital interactions. Marketers, product managers, and engineers use Dynamic Yield for: Launching new personalization…
N/A
Google Analytics
Score 8.2 out of 10
N/A
Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
$0
per month
Agentforce Marketing
Score 7.7 out of 10
N/A
Marketing Cloud is a cloud-based digital marketing platform, used by marketers can segment their audience, deliver personalized messages, track campaign performance, engage leads and accounts, and optimize strategies based on real-time insights.
$1,250
per month per installation
Pricing
Dynamic Yield
Google Analytics
Salesforce Agentforce Marketing
Editions & Modules
No answers on this topic
Google Analytics 360
150,000
per year
Google Analytics
Free
Account Engagement
$1,250
per month
Engagement
$1,250
per month
Intelligence
$3,000
per month
Loyalty Management
$20,000
per month
Personalization
$100,000
per year
Data Cloud for Marketing
$108,000
per year
Offerings
Pricing Offerings
Dynamic Yield
Google Analytics
Agentforce Marketing
Free Trial
Yes
No
Yes
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
Yes
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Dynamic Yield
Google Analytics
Salesforce Agentforce Marketing
Considered Multiple Products
Dynamic Yield
Verified User
Analyst
Chose Dynamic Yield
Dynamic Yield is on a whole different level compared to anything I've tried before. The different types of campaigns you can make with DY covers all your needs. If you can't find a suiting campaign type, or even template, you can use Dynamic Content or Custom code to create …
No contest between Convert and Optimizely - those are very decent A/B test programs but also standard. The biggest contender was A/B Tasty and we chose DY due to the ease of client vs server side implementation within the platform and robust analytics/product recommendation …
We moved from Qubit to Dynamic Yield for a number of reasons. Qubit was very clunky, had limited out-the-box capabilities and thus required a wait for coders to build tests or make small site changes. The features they intended to be quick and easy to use were invariably not, …
Monetate is good also but I found learning to navigate round DY so much quicker and easier. May sound silly but the platform is also a lot cleaner in its design.
Much more optimization possibilities. Deeper and automatic analysis of tests, product recommendations, email widgets and much more. VWO is the chimpanzee and Dynamic Yield the human.
Now I have a single centralized tool for several things while before we had to maintain at least 3 tools to do what we are currently doing with Dynamic Yield. Having a single tool helped us a lot also in increasing our level of precision and to avoid fixes across different …
We have not used any other tool but went through discovery with a couple other vendors. In the end, Dynamic Yield won for its ease of use and customer service. As well, another key factor was the ability to trigger personalization in email, which a number of other vendors do …
This alternative is cheaper and does its job. They appear to be new and hungry for business and therefore we were able to get more attentions from them. The reporting function is easier to understand than the above providers and we don't have to spend time trying to calculate …
[It has] the most confident functionality of use cases. It's hard to implement something and it does not work because of something wrong on the Dynamic Yield side.
When we've compared solutions, Dynamic Yiled impressed us as better in terms of their focus on e-commerce, built-in features, durability, value for money and agility.
First of all, the other tools we looked at was more focused on A/B testing and personalization but one of the that we loved immediately of Dynamic Yield was the recommendation engine: given that we were missing such a feature in our e-commerce, that really made the difference.
I have used Optimizely in the past but the out of the box features Dynamic Yield offers really is a cut above.
The use of custom actions have been invaluable in enabling us to really bridge the gap between our online and offline worlds. I haven't come across any other tool that …
Google Analytics is the only tool of its kind (that I'm aware of). Other tools, like website builders, may have built-in analytics, but they're nothing compared to what Google Analytics offers.
I have used Moz and Google Analytics. They provide overlapping information, but they also provide unique information. I like that Moz shares broken images and links and points out problems on the site that are slowing down the site and effecting the site's performance and …
If it was my choice I would have used IBM Digital Analytics (DA) for everything. DA has it quirks but it really gives some deep analysis on the data and with a bit of development work you can really get all the data you could possibly want. If every website and newsletter was …
We also use Pardot to monitor traffic to our site. Google Analytics gives you a lot more data. Pardot is more focused on once the traffic to our site identifies themselves (by filling out a form) and how they engage with us after that (email opens, website views, etc.).
Pardot out-ranks the competition in regards to the integration with Salesforce. It is hard to beat the ability to use your already-made customer profiles and contact information in your marketing campaigns. Where it is lacking is the usability. MailChimp is a much more user …
The only other product we evaluated was HubSpot. We felt that for the cost, Pardot was a better option for us.
Verified User
Employee
Chose Salesforce Agentforce Marketing
I have used Bitly to track the performance of social media links. I found Pardot to be superior because of its capability to identify and track individuals. I prefer using Pardot to Adobe because it provides details about individual customers. I also prefer Pardot over Google …
We used HubSpot before and it performed well. However, as we were planning to adopt NetSuite as our ERP, we needed a marketing solution that integrated well with it. That's where HubSpot fell short. Pardot had a built in integration with NetSuite via a Pardot connector. Also, …
Eloqua was too expensive. Marketo, is a very slick product, and the pricing they offered us for the lowest-level version (Small and Medium Business) was competitive, but still about $3,000 per year more than Pardot. One big issue with Marketo though was …
Features
Dynamic Yield
Google Analytics
Salesforce Agentforce Marketing
Web Analytics
Comparison of Web Analytics features of Product A and Product B
Dynamic Yield
-
Ratings
Google Analytics
8.4
11 Ratings
4% above category average
Salesforce Agentforce Marketing
-
Ratings
Lead Conversion Tracking
00 Ratings
8.110 Ratings
00 Ratings
Bounce Rate Measurement
00 Ratings
8.410 Ratings
00 Ratings
Device and Browser Reporting
00 Ratings
9.211 Ratings
00 Ratings
Pageview Tracking
00 Ratings
9.011 Ratings
00 Ratings
Event Tracking
00 Ratings
8.311 Ratings
00 Ratings
Reporting in real-time
00 Ratings
7.910 Ratings
00 Ratings
Referral Source Tracking
00 Ratings
8.510 Ratings
00 Ratings
Customizable Dashboards
00 Ratings
7.910 Ratings
00 Ratings
Email & Online Marketing
Comparison of Email & Online Marketing features of Product A and Product B
Dynamic Yield
-
Ratings
Google Analytics
-
Ratings
Salesforce Agentforce Marketing
7.5
171 Ratings
2% below category average
WYSIWYG email editor
00 Ratings
00 Ratings
7.6122 Ratings
Dynamic content
00 Ratings
00 Ratings
8.0153 Ratings
Ability to test dynamic content
00 Ratings
00 Ratings
6.8112 Ratings
Landing pages
00 Ratings
00 Ratings
7.6121 Ratings
A/B testing
00 Ratings
00 Ratings
7.3151 Ratings
Mobile optimization
00 Ratings
00 Ratings
6.9111 Ratings
Email deliverability reporting
00 Ratings
00 Ratings
7.6132 Ratings
List management
00 Ratings
00 Ratings
8.2129 Ratings
Triggered drip sequences
00 Ratings
00 Ratings
7.595 Ratings
Lead Management
Comparison of Lead Management features of Product A and Product B
Dynamic Yield
-
Ratings
Google Analytics
-
Ratings
Salesforce Agentforce Marketing
8.1
124 Ratings
4% above category average
Lead nurturing automation
00 Ratings
00 Ratings
8.6109 Ratings
Lead scoring and grading
00 Ratings
00 Ratings
8.1110 Ratings
Data quality management
00 Ratings
00 Ratings
7.6116 Ratings
Automated sales alerts and tasks
00 Ratings
00 Ratings
8.3101 Ratings
Campaign Management
Comparison of Campaign Management features of Product A and Product B
Dynamic Yield
-
Ratings
Google Analytics
-
Ratings
Salesforce Agentforce Marketing
7.5
114 Ratings
1% above category average
Calendaring
00 Ratings
00 Ratings
7.6103 Ratings
Event/webinar marketing
00 Ratings
00 Ratings
7.497 Ratings
Social Media Marketing
Comparison of Social Media Marketing features of Product A and Product B
Dynamic Yield
-
Ratings
Google Analytics
-
Ratings
Salesforce Agentforce Marketing
7.5
88 Ratings
2% above category average
Social sharing and campaigns
00 Ratings
00 Ratings
7.583 Ratings
Social profile integration
00 Ratings
00 Ratings
7.639 Ratings
Reporting & Analytics
Comparison of Reporting & Analytics features of Product A and Product B
Dynamic Yield
-
Ratings
Google Analytics
-
Ratings
Salesforce Agentforce Marketing
7.8
124 Ratings
6% above category average
Dashboards
00 Ratings
00 Ratings
8.2118 Ratings
Standard reports
00 Ratings
00 Ratings
7.7123 Ratings
Custom reports
00 Ratings
00 Ratings
7.5100 Ratings
Platform & Infrastructure
Comparison of Platform & Infrastructure features of Product A and Product B
Dynamic Yield
-
Ratings
Google Analytics
-
Ratings
Salesforce Agentforce Marketing
7.6
124 Ratings
2% above category average
API
00 Ratings
00 Ratings
6.990 Ratings
Role-based workflow & approvals
00 Ratings
00 Ratings
6.989 Ratings
Customizability
00 Ratings
00 Ratings
7.0111 Ratings
Integration with Salesforce.com
00 Ratings
00 Ratings
7.8113 Ratings
Integration with Microsoft Dynamics CRM
00 Ratings
00 Ratings
8.814 Ratings
Integration with SugarCRM
00 Ratings
00 Ratings
8.211 Ratings
Third-party software integrations
00 Ratings
00 Ratings
7.324 Ratings
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Dynamic Yield
Google Analytics
Salesforce Agentforce Marketing
Small Businesses
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Score 9.0 out of 10
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Score 9.0 out of 10
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Medium-sized Companies
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Score 9.0 out of 10
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Score 9.1 out of 10
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For us, it is well suited for personalization. Since we are hospitality brand, we have different rooms sales inclusion based on different segmentation like Mem or Non-mem, Global or UAE, we have to personalize our landing pages accordingly so that we show the relevant information to relevant audience. The inactivity pop up box and newsletter signup popups work good for us. It does not work well in some scenario like Dynamic Yield offers built-in analytics focused on campaign and test performance, but it’s not a replacement for tools like GA4, Adobe Analytics. It lacks deep funnel tracking or complex reporting capabilities.
Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
I think the product, by definition, is meant for marketing — and we use it exactly for that, for running campaigns. That’s the best-suited use case for the product. I don’t think it’s really meant to be used for anything else — that’s just not how it’s designed.
Provide fantastic support, both in relation to strategy/best practice and troubleshooting.
An easy to use interface, as a user who is relatively new to Dynamic Yield I find that it is an intuitive platform to use.
The ability to segment and drill down on data allows for really specific insights which, whilst not necessarily being leveraged on a testing basis, can be super valuable from a greater marketing perspective.
Brand templates could need complex CSS/custom code.
We'd like to see a little "i" next to specific labels, which elaborates on what is meant. For example, when I hover over "Dynamic allocation," I get something like "An advanced form of A/B testing where the best-performing variations receive higher traffic."
Jargon (for example, for audience targeting) can be overwhelming for new users; therefore, clearer, user-friendly explanations are needed.
implementation took a long time but also, DY has really proven that they are transforming and adapting their platform to be more user friendly and the right technology choice for their brand or company
We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
As of right now we have not seen any other program that integrates as seamlessly into our Salesforce platform. We have barely scratched the surface of all the features and use cases. It would be irresponsible to make a move to another platform in the near future. We have not come up against any limitations that would prompt a need to switch
Setting up strategies, audiences, and experiences is simple and fast. It is incredibly easy to modify the appearance of your site and optimize every aspect with the Dynamic Yield Personalizations. However, while the data visualization on an experience level is easy to modify and analyze, exporting the data in meaningful ways is time consuming.
Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
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.
We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
Upgrades and timing of the upgrades were communicated well and planned during off hours for our work. If we did have a campaign scheduled during that time, it would kick-off after the system was back active. There were a few unplanned system down times, but it was a rare occurrence and those times were also short in duration.
This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
Though the make up of MA apps is not built this way today, it would be nice to see them become more real-time. The integration between Salesforce and Pardot is not a true real-time integration. If I modify something in Salesforce, those changes are not automatically reflected in Pardot immediately. There is a delay of about 15 minutes before the systems sync. This delay, although not long, is less than ideal We would love the systems to be integrated real time such that changes are propagated from one system to the other immediately.
Overall, the support is very good. If you are a partner (my case), they assign you a customer success manager, that helps a lot. Also, there is a technical person to provide support to the partners, again a great help.
My only "complain" is that with some complex issues, the support may delay in providing you with a solution. Sometimes that can cause some tension with your client.
The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
They are really responsive and more than not solve the problem or give you insight to how you can manage the solution yourself. I do find however sometimes a long delay on the more complex issues when they need to loop in other departments. but overall a good experience with support
The trainers at the Pardot user conference (Elevate and Connections) were very knowledgeable and presented the material well. Again, the content was targeted to more of a new user audience, and was not really relevant for folks who had been using the product for 2+ years.
love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
Pardot's online training touches on all topics briefly and vaguely without much indepth exploration into how a final outcome could look, such as Nurturing Campaigns, Email templates, landing page templates, etc... The only true way to uncover Pardot's full capabilities is to have Front End design and coding experience. Without this key skill set, I would not recommend Pardot to another business.
I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
From an IT perspective, once you set up the Javascript beacon and start collecting data there is a waiting game. During this time you can start labeling your site actions which can be labor intensive for a single person, but you don't really have the final end-users on the platform yet. We did a lot of training so users were experienced, but it wasn't until they had their first tasks to accomplish that they started using the system and had questions. I'd recommend setting up some immediate goals for an end-user to start segmenting for the purpose of displaying message campaigns so you can jump start end-user action.
Dynamic Yield provides far more capability and ready-to-go templates for small-medium sized businesses, as well as decent API implementation for businesses who want to have a deeper integration. The ease of implementation and faster time-to-market is why we chose Dynamic Yield.
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
We use Salesforce Marketing Cloud for lead management, generating reports, tracking customer and dealer information, inputting orders, and more. I prefer HubSpot for email marketing and automation because it is easier to use and the emails are designed much better. We currently use Salesforce and HubSpot, and we are very happy to have both, as they have different pros/cons.
Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
Prior to this, we had no solution and literally were doing things on paper in a world where technology is outpacing paper. Having this process optimized has made it easier for the sales and marketing people to change information. From the training perspective, it has allowed us to see holes in where we could create additional support training, so the ROI here has been a lot more than just the optimization of a process.
Most tests have had a positive impact on either revenue or conversion rate - quite often in double digits.
Dynamic Yield has also helped us to stop some particular initiatives through direct interaction with the customer base via questionnaires or by a test proving negative quicker than rolling out a permanent feature.
Salesforce Marketing Cloud allows us to more efficiently reach out to a higher number of prospects.
Salesforce Marketing Cloud allows us to nimbly communicate important messages in a timely fashion to facilitate conversion.
Salesforce Marketing Cloud allows us to track who is opening our messages so that we can stop sending to those not interested and focus on the most engaged audiences.