Adobe’s claim to fame is arguably its excellent suite of creative tools that the majority of content producers and creative folks will swear by; they have made significant strides in several enterprise service domains. This is due to their solid R&D activities coupled with savvy mergers and acquisitions over the years. They are now one of the leading players in enterprise software solutions, and one of the fields they have been making waves in is Customer Experience Management or CXM. CXM refers to the process of crafting customer interactions and experiences that vastly exceed their expectations, are tailored to their needs and sensibilities, and ultimately boost satisfaction like never before. Adobe’s Experience Cloud suite is a host of software tools that fit into every step of the marketing pipeline, from content creation, advertising, and marketing to commerce, sales, and detailed analytics. Several industry leaders have introduced this suite into their process from prospect to purchase and beyond, and have returned with delighted customers, boosted bottom lines and glowing recommendations.
In the first Fiscal Quarter of 2019, Adobe recorded 34% YoY growth in revenue for Digital Experience, a whopping figure of $743mn. This puts their run rate in the ballpark of $3bn and places Experience Cloud at nearly 30% of their total earnings. This is, in fact, a higher rate of growth than their Digital Media products (including the Creative Cloud), which grew 22% in revenue for the same quarter. The total revenue for the corporation was up 25% and is looking promising for the rest of the financial year as well.
In today’s highly-competitive world, businesses must consider doing a lot more than simply marketing their goods and services to their specific target audiences. They must grab the attention of their precise target audience and engage them thus, laying successfully the foundation for a long-lasting and robust consumer and brand relationship. Consumers today are facing a challenging situation as they are bombarded with options with marketing efforts and ads from practically every direction.
However, consumers are happy to believe that the ads are specially meant for them and are custom-tailored to cater to their unique requirements and interests. Potential customers wish to engage effectively with brand experiences that seem to be relevant to their precise requirements. It is ultimately, up to you if you are a marketer for creating all those personalized experiences to grab consumer attention and win their trust and loyalty. Personalization could include allowing your specific target audiences to feel as if you know them even respect them individually or as separate entities. In this context, you must know that Adobe Target seems to be award-winning marketing software that is essentially cloud-based. It has been crafted for supporting large and even medium-sized businesses.
Target Product Update for Democratizing Personalized Marketing
As per https://www.forbes.com, irrespective of whether you like it or you don’t, marketing seems to be becoming personalized each passing day as organizations are making the most of cutting-edge technologies for coming up with ever-more-personalized offers.
Data for Fueling Personalization
Some marketers have always thought that personalization could be achieved simply by incorporating fields like First Name, etc. into the email messages. However, generating fruitful communications would not be depending solely on some authenticated data points. For being successful, you need to assimilate all your data. We understand that Adobe Marketing Cloud would be helping you in connecting data from all your offline and digital marketing resources for creating a robust one-to-one relationship.
Consider Relying on Targeted Recommendations for Easy Personalization
You could provide incredibly personalized experiences simply by offering targeted recommendations that are based primarily on information gathered about a particular customer or client in the Adobe Marketing Cloud. You could smoothly automate the entire targeting process and boost conversions even while cutting down your overall workload.
Adobe Target is known for providing custom-tailored customer recommendations via sophisticated algorithms that keep running in the background. All these algorithms would be recommending the products, content and offers that would engage customers and trigger conversions without the professional assistance of any data scientist for the interpretation of big data analytics. Simply by automating recommendations or suggestions, there is no reason to waste your precious time and energy on choosing products, content, or messaging that could be missing the mark.
Adobe Target would also, come up with criteria selection templates for modifying parameters like People Who Bought, Top sellers, or People Who Viewed This & Also Bought, etc. You could go about creating templates relevant to your specific industry. You may consider reusing efficient recommendations for diverse audiences. You could at once establish Adobe customer recommendations by complying with industry-proven best practices. Moreover, recommendations could be generated by shopping behavior, page views, buying history, search activities, etc.
Adobe Target is known to automate customized experiences or content with certain self-learning algorithms. We know that automation algorithms would be discovering the connection between multiple events quickly and would successfully identify variations between predicted and observed behaviors. There is no need to go about manually correlating numerous variables thus, saving an incredible amount of time that would have gone into analysis and complicated calculations.
Marketers could be biased hence; Adobe Target makes use of machine learning for producing a certainly more objective approach towards your customers. It is known to run automated personalization algorithms for proving assumptions related to your audiences. Moreover, testing assumptions could help discover potential audiences that you had not even considered simply by accurately calculating statistical significance with absolutely no assistance from professionally qualified data scientists.
Adobe’s targeting abilities would constantly go on self-testing for adapting your targeting endeavor for maximizing success. Moreover, machine learning would help in boosting your capability of knowing your target audience at purely a one-to-one basis more accurately and quickly. Variables could be weighted depending on time and some other critical factors that could be degrading the actual relevance and significance of your messaging.
Conclusion: Personalization Must Be Your Top Priority in All Your Marketing Campaigns
Personalization would be tedious and time-consuming without the use of proper tools. You could consider using a competent ‘testing & targeting’ solution such as Adobe Target for understanding audiences, communicating better, and for becoming more relevant. You could go on improving product delivery, boosting engagement and sales, and reducing the bounce rates simply by utilizing sharper precision. For personalized experiences, Adobe Target is the way to go.
