Adobe acquired Neolane in July 2013 and later re-named the product Adobe Campaign. Adobe Campaign provides both marketing automation and marketing resource management functionality such as spend & financial management, workflow, and asset management.
N/A
IBM watsonx Orchestrate
Score 8.3 out of 10
N/A
IBM® watsonx™ Orchestrate® leverages AI to automate complex workflows. The solution helps build, deploy, and manage AI assistants and agents. It offers a catalogue of pre-built agents and tools, low-code agent builder, multi-agent collaboration capabilities, and integrations with enterprise apps.
$530
per month
Pricing
Adobe Campaign
IBM watsonx Orchestrate
Editions & Modules
No answers on this topic
Essential
$500
per month per subscription
Essentials
$500
per month Per subscription
Standard
Enterprise
Standard
Enterprise
per month Per subscription
Offerings
Pricing Offerings
Adobe Campaign
IBM watsonx Orchestrate
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
—
IBM watsonx Orchestrate can be deployed and run on IBM Cloud, AWS, or on-premises. Prices shown are indicative, may vary by country, exclude any applicable taxes and duties, and are subject to product offering availability in a locale.
Multi-Channel Campaign Management: I have found Adobe Campaign to be excellent for managing campaigns across multiple channels, including email, mobile, social media, and web. Its centralized platform allows me to plan, execute, and track campaigns effectively, making it ideal for organizations with diverse marketing channels. For example, when I was running a campaign to promote a new product launch across email, SMS, and social media channels, Adobe Campaign provided me with the tools to orchestrate and track the campaign seamlessly. I could ensure consistent messaging and a cohesive customer experience across different channels.
In our case, it is well-suited for workday integration, which allows us to automate the entire workflow. However, we are still working on the O9 platform integration, which we feel is less appropriate, and integrating the workflow into the platform.
It allows me to capture leads through various sources, such as website forms or landing pages.
It offers a centralized repository where I can securely store and manage customer data, encompassing contact information, preferences, transaction records, and additional relevant data.
It provides robust analytics and reporting capabilities.
New and improved natural language processing yielding better results helps the assistants understand the intention behind the query.
Preserves context of communication, allowing the customers to establish inquiries on the website and continue on the mobile app without having extra informational input.
Intelligent conversations mean that complex paths that are branched based on the user's inputs allow for a much more natural flow of the conversation than fixed scripts.
Adobe Campaign does not have a high enough sales intelligence to let us know which landing page format would be the most optimal for the proper development of our mass marketing operations, which in the long run would also help with customer collection.
Does not directly track the number of people who enter our website, beyond sending them automated messages depending on whether they entered a certain section of the site. This problem is important, because it does not allow us to get complete tracking results in that area.
The platform does not do social media marketing extensively enough to let us create dynamic evaluations on the results of interactions that are obtained within social networks, which creates a huge margin of error in our analytical results messages, and so we have stopped applying social marketing.
I think that it needs to be able to integrate better with the knowledge catalogs. It currently provides a default database, which isn't quite large enough for enterprise use. We can connect that then to an external source, but it'd be nice if we could able just to instantiate one straight away.
Once you go for Neolane you are a bit stuck with it, so we will most likely stay with Neolane. Cost of investment and training are the main factors at work here. We havesimply have invested too much in the product to stop using it after 2 years. That said, my score of 8 does not imply that the product is worthy of getting an 8 but reflects our willingness to renew. Given that upgrading to a new version will cost again a substantial sum, we most likely will keep using the current version we are on which is 6X.
Currently we are using to develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. Action flow and dialog flow we are currently in chatbot.
Thanks to this tool we are taking more internal control of the creation and deployment of campaigns with less dependency on an ESP. We can pre-program marketing publications, being able to concentrate on the target audience. It helps me manage email campaigns with real-time tracking.
With the growing use of AI and chatbots, it's very easy to use, and the conversational language makes it easier than keyword searches in a document. The contextual language processing is impressive. It's easy to integrate into our internal portal. The use of this tool would depend on each company's security and data sensitivity.
To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.
Although there is a lot of material available on the internet to answer questions, I still feel a lack of commitment and delay in the responses of the support, but as a whole, it leaves nothing to be desired. I believe that, in the great majority, companies sin in the desired support, but we cannot generalize. But this one, in particular, has a wide range of specialists and well-qualified management, but I believe that it is not so bad.
We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).
As we tried to centralise the marketing automation platform within the enterprise, Adobe Campaign can plug into several instances of Salesforce.com for lead management queues. All other marketing automation platforms can only plug into one instance of Salesforce.com. Adobe Campaign was also able to handle the complexity and challenges of our enterprise data which are a result of years of legacy, mergers and acquisitions and data aggregation.
Make has more community of workflows to follow that have been redeveloped and are available for download. Selecting WxO is based on our trust level with IBM and the propositions of the Granite model being less biased, more business trained, and the ecosystem allowing for expansion with Assistant and Discovery.
Not everything was great at all times. It was handled accordingly, pricing was reasonable for what was purchased. It was the best value on the market at the time of purchase.
From past 3+ years I am using IBM Watson in our current project easily can implement and manage and monitor user how their using. Is there and update also just update dialog is just enough to change no need to touch any other templates. Multiple language will support, and action and dialog speak recognize chatbot we can create as per client requirement. Overall, as of now good experience with IBM Watson.
Talking about profits can be subjective if you don't take into account the periodic variations between net and gross profit margins, but fortunately with Adobe Campaign, it is easy to notice these differences quickly.
Results have always seemed relative to us, as they vary greatly depending on how much is invested.
By automating tasks that would otherwise require human intervention, organizations may achieve cost savings in terms of labor, especially for handling large volumes of routine inquiries.
Virtual assistants can handle a large number of simultaneous interactions, making them scalable to accommodate growing customer bases and increasing workloads without a linear increase in staffing.
