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Anything is possible with Tealium AudienceStream
What do you like best about the product?
It kicks off with a bang:
It comes with robust analytical tools and tracking mechanisms right out of the box. They have a responsive and thorough deployment team who are committed to ensuring that it's configured to meet your specific needs right out of the gate, no matter how nuanced.
The solutions are scalable.
I've used Tealium AudienceStream in my previous company as well as my current company. Each company had wildly different use cases, but Tealium handled them both with aplomb. No matter the project, I never have to stop and ask myself whether Tealium offers the functionality. The one time they didn't have a solution out of the box, they built a custom connector for us.
It comes with robust analytical tools and tracking mechanisms right out of the box. They have a responsive and thorough deployment team who are committed to ensuring that it's configured to meet your specific needs right out of the gate, no matter how nuanced.
The solutions are scalable.
I've used Tealium AudienceStream in my previous company as well as my current company. Each company had wildly different use cases, but Tealium handled them both with aplomb. No matter the project, I never have to stop and ask myself whether Tealium offers the functionality. The one time they didn't have a solution out of the box, they built a custom connector for us.
What do you dislike about the product?
It takes a while to understand the difference between some of their products.
There's TiQ, which manages tags.
There's AudienceStream and EventStream, which process user's activity (per your specifications) in real time.
There's AudienceStore and EventStore, which store the data generated from AudienceStream and EventStream as semi-structured JSON data. Without an extract-transform-load (ETL) process, there isn't much you can do with this data. However, you can build one for free using Python. If you want to build an ETL like this, you should do the following in python.
import json
import pandas
Since this is a list of semi-structured json objects, it needs to be restructured before it can be parsed. use this line of code:
data = "[" + data.replace('}', '}, ', data.count('}')-1) + "]"
then you have to get that data to be recognized by python as having a json structure. use this:
json_data = json.loads(data)
then you have to normalize this data. use this code:
df1 = json_normalize(json_data)
There are more steps that must be taken after this point, but that will get you on your way.
However, if your organization doesn't have someone skilled in Python, you will want to purchase AudienceDB and/or EventDB. Those services convert the semi-structured data from audiencestore/eventstore into a table that can be queried using SQL.
So in short, there's nothing I don't love about Tealium. It just requires effort and business logic to maximize your results.
There's TiQ, which manages tags.
There's AudienceStream and EventStream, which process user's activity (per your specifications) in real time.
There's AudienceStore and EventStore, which store the data generated from AudienceStream and EventStream as semi-structured JSON data. Without an extract-transform-load (ETL) process, there isn't much you can do with this data. However, you can build one for free using Python. If you want to build an ETL like this, you should do the following in python.
import json
import pandas
Since this is a list of semi-structured json objects, it needs to be restructured before it can be parsed. use this line of code:
data = "[" + data.replace('}', '}, ', data.count('}')-1) + "]"
then you have to get that data to be recognized by python as having a json structure. use this:
json_data = json.loads(data)
then you have to normalize this data. use this code:
df1 = json_normalize(json_data)
There are more steps that must be taken after this point, but that will get you on your way.
However, if your organization doesn't have someone skilled in Python, you will want to purchase AudienceDB and/or EventDB. Those services convert the semi-structured data from audiencestore/eventstore into a table that can be queried using SQL.
So in short, there's nothing I don't love about Tealium. It just requires effort and business logic to maximize your results.
What problems is the product solving and how is that benefiting you?
We are able to stitch data about our user's behaviors when generating quotes online to sales that are later made over the phone. Without Tealium, this would not be possible.
AudienceStream is Awesome
What do you like best about the product?
Ease of use and the way it has allowed us to connect many disparate data sources to enable more granular segment and audience building.
What do you dislike about the product?
Not being able to publish versions live to the site, we can only save as.
What problems is the product solving and how is that benefiting you?
Many siloed sources of data which would cause weeks of dev resources to build pipelines between the systems is not needed anymore. We can do everything we want to connect the sources of data in Audience
Enhances Marketing Campaigns & Analytics
What do you like best about the product?
TiQ + AS are an easy solution to manage vendor tags, enhance analytics and optimize marketing campaigns. A technical marketing professional can manage it without the need to work through IT or Web teams to implement and test which saves everyone time.
What do you dislike about the product?
It is a technical tool that layers on itself. If there is a bug or if a step is not followed exactly right it can be frustrating to resolve without Customer Support. From a marketing perspective, the platform needs the ability to pause components associated with a campaign. Since the tool does have so many layers some campaign components may conflict with each other so a build can get complex.
What problems is the product solving and how is that benefiting you?
We are able to take our analytics a step further by layering in our CRM data to create valuable reporting. Additional custom setup needed for analytics or vendors can all be handled through AS. Marketing campaigns are optimized with advertising retargeting and suppression based on key criteria.
Awesome!!!!!!!
What do you like best about the product?
I love the versatile platform easy to use for everyday people
What do you dislike about the product?
customer support isn't the best, but this is something you learn as you go too. basic knowledge you should be good
What problems is the product solving and how is that benefiting you?
to engage with clientele, this enhances our ability to communicate with the consumer
Capable and powerful CDP solution
What do you like best about the product?
Tealium AudienceStream is a powerful CDP, which helps brands take giant leaps towards achieving cross channel personalisation, and obtain a single view of customer. I have worked with multiple tag management solutions, and CDP's and Tealium is by far the most effective. The tool is sophisticated and complex, which is both a pro and con, and is able to tackle most conceivable use cases to deliver a great CX. The solution requires a strong strategy and governance model to fully leverage (people & process critical to success)
What do you dislike about the product?
Identity resolution is strong within Tealium, but is limited to deterministic identity matching. I would like to see the opportunity to utilise probablistic models for certain brands I work with. The platform can also be difficult to master, with a steep learning curve to be comfortable - more suited to dev resources than non technical marketers.
What problems is the product solving and how is that benefiting you?
As a data agency in Australia (Venntifact) we have worked with multiple brands embracing CDPs including Tealium. AudienceStream is a fantastic choice for brands that have a strong website proposition, with an authenticated state. Tealium's TiQ (tag management) solution is market leading, and mandates a strong data layer be implemented to standardise web behavioural data. This foundation enables additional channels to be incorporated, building a true omni channel personalisation engine. We have launched email, display and onsite abandon cart (and abandon event) campaigns, and can capture behaviours from any channel to trigger experiences & messaging in any other channel. Very flexible to solve a wide range of use cases, once you understand how to setup and work within the platform.
Recommendations to others considering the product:
Review multiple CDP solutions, have a clear set of use cases to solve, and evaluate the vendor based on the technology, support model, and agencies available to support your ramp/scale.
A true silver bullet to our data silos problem
What do you like best about the product?
I love that I can send any kind of event from the customer journey and it easily becomes available to build new attributes, audiences and campaigns.
What do you dislike about the product?
I wish there was a test environment. Do everything with real life data sometimes is scary. Sometimes is hard to figure out how AudienceStream will stitch a user and we end up with users being joined.
What problems is the product solving and how is that benefiting you?
We are able to have the same audience receiving an e-mail, viewing a banner and receiving a call that have the same subject or context.
Recommendations to others considering the product:
Don't make the mistake of comparing it with a DMP, they complement each other. I strongly recommend starting with a CDP and then evolving to using it together with a DMP.
Audience Stream is an AMAZING CDP, but it takes work
What do you like best about the product?
I love that I can do pretty much anything with AudienceStream. It's a very flexible tool that can bend to meet pretty much any use case using web data.
What do you dislike about the product?
AudienceStream can be difficult to use. It is def. more a data developer toolset than a marketer toolset, but a techy marketer could get the job done.
What problems is the product solving and how is that benefiting you?
Our first use case for Audience Stream was to trigger a real time Abandon Cart email. It was a simple use that showed the power and flexability of the tool. From there we have been able to create a dozen or so programs around the data that feed into pretty much all of our marketing channels and tools. We could not get anywhere close to where we are without AudienceStream.
Recommendations to others considering the product:
The truth is, any CDP you choose will not be a silver bullet. It takes a lot of planning, coordination and communication to implement any CDP across any organization. If you go full stack on Tealium (Tag Management, Audience Stream, EventStream), it makes it easier to manage the data going in and the data coming out, but it's ganna take work.
Almost anything is possible
What do you like best about the product?
AudienceStream allows for consistent segmentation across various proprietary platforms and, unlike most DMPs, persists 3rd party IDs and can accept PI. With AudienceStream, we are able to trigger tags based on cumulative user behavior in addition to standard event tracking.
What do you dislike about the product?
AudienceSteam is an advanced platform and might not be suitable for all organizations. If a website/brand lacks user authentication or online KPIs, the value will be harder to quantify.
What problems is the product solving and how is that benefiting you?
Our business problem was audiences were silod and we did not have a single view of the customer. We were able to minimize media waste and integrate data across multiple different adtech and martech platforms.
Recommendations to others considering the product:
A robust data layer is critical to success. Make sure that you have a great understanding of you site and implement for the future.
Great product for f
What do you like best about the product?
I like how Tealium solves so many problems from the beginning to end of the marketing process. It captures data from multiple online and offline sources and stitches customer data together across those sources, which helps us find opportunities for marketing to our customers. It then gives us the ability to create audiences off of that data, and push those audiences into different marketing platforms (social, email, website, etc.). Then it gives us ownership of all the data we need to measure how those marketing efforts are performing.
What do you dislike about the product?
There is a bit of a learning curve, and getting set up takes some time. Tealium was great through that whole process though, and really helped drive the implementation.
What problems is the product solving and how is that benefiting you?
We had problems personalizing campaigns across multiple marketing channels, and tracking behavior cross-domain to see how our campaigns were performing. With Tealium, we now have more personalization than ever across multiple channels, and have great visibility into customer behavior.
Recommendations to others considering the product:
Great product, great staff - they really care about their customers' success.
AudienceStream - Vendor Agnostic CDP
What do you like best about the product?
The number of connectors and uniformity of our own datasets, which can be leveraged across our various vendors we use. The customization and flexibility of the CDP allows us to use it for multiple use cases including pushing visitor data to the client browser side, and enhancing profiles for re-targeting.
What do you dislike about the product?
The organization of badges and grouping can be confusing as you start to scale your use cases and audiences.
What problems is the product solving and how is that benefiting you?
To build our own segments based on our own data, transport the data based on our requirements, and also using a combination of TiQ + AS to modify/enhance our data points. The speed in which we can stand up an audience and apply it to a specific use case is fairly quick. Their validation tool, trace is easy to use and fairly detailed.
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