Introduction to Personalization Marketing
At Oak Spring University , we define Personalization Marketing as a data driven that enables companies such as Encounter Technologi to make informed decisions regarding current and future behaviour of targeted consumers. Personalization Marketing model is built upon how Encounter Technologi customers are behaving at present and how their customer journey can be tailored to provided them an highly immersive and beneficial experience.
Personalization Marketing at Encounter Technologi needs to not only cater to the promotional strategies targeting specific needs of the customers in the Software & Programming industry but also to steward overall customer behaviour towards a more holistic customer experience.
According to 2022, Cheetah Digital survey 74% of consumers want brands to treat them as an individual and 71% of the customers want to build a relationship with the brand that they buy regularly.
True Predictive Personalization Marketing goes further than just sales driving coupons or other promotion strategies. Predictive Personalization Marketing can help Encounter Technologi to create more enriching brand experience, more convenient product purchase experience, more accessible post purchase experience that can drive higher customer satisfaction and loyalty among the customers in the Software & Programming industry.
To build a predictive personalization marketing at scale, Encounter Technologi needs three things in the Software & Programming industry – Build a rich database that can provide long loop customer data, use appropriate statistical and machine learning models to derive deep insights, and a operational system that can act on the personalization finding and deliver a rich customer experience.
Predictive Personalization Marketing can help in –
Predictive Personalization Marketing can help Encounter Technologi to make product purchase easier, maximise the effectiveness of its promotions and advertising efforts, and improve price perception.
Building a balance between the analytics and Encounter Technologi competitive strategy is the key to efficient and effective personalization marketing strategy. Often only numbers driven approach can lead to highly optimal solutions that can deliver high revenue in short term but compromise the customer overall experience. This can result into long term sales stagnation. In Software & Programming industry, Encounter Technologi needs to build a personalization marketing strategy that can build on each customer interaction in a meaningful way with a view to drive customer loyalty.
Prioritizing customer value is a key to differentiation. Encounter Technologi needs to clearly define the customer values it wants to target in the Software & Programming industry. For example very often high spending customers are viewed as loyal customers. But this can mean different thing in different context. A single member household or small business buyer may spend less on Encounter Technologi products compare to four member household or large corporate buyer, but share of overall basket may be significantly different thus making Encounter Technologi products more critical to smaller players.
Predictive personalization marketing efforts at Encounter Technologi in Software & Programming won't be effective unless managers at Encounter Technologi understand - what is the purpose of personalization marketing messeage, what Encounter Technologi want to say and what relationship it wants to have with its customers in Software & Programming industry.
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