iKala Provides Google Cloud Marketing Analytics Solutions for EC Industry Funding
iKala C4M (Cloud for Marketing) strategic blueprint. Four core strategies—performance ads, omni-channel customer journey optimization, scenario-oriented recommendation, AI powered persona for contextual marketing — are integrated on the iKala Big Data Lake solution.
iKala press release – 2019/08 Taipei
Drawing from its rich experience in data-driven marketing and digital transformation solutions, iKala GCP.expert has invented a Cloud for Marketing (C4M) strategic structure. Utilizing its Big Data Lake solution, and with Google Cloud’s powerful data analytics and AI technology at its core, iKala can help customers quickly implement four smart marketing strategies to efficiently complete their digital transformation, while increasing the revenue and value of the company brand.
Trust the Data: Four E-Commerce Marketing Tips from iKala
Strategy #1: Performance Ads
First, measure the quantitative result of every advertisement you place by establishing a media evaluation mechanism. Then, perform a multifaceted comprehensive evaluation that offers insight on the audience overlap of different media ads. By identifying which media platforms complement or detract from one another, you will raise the efficacy of your ad placements.
Strategy #2: Omni-Channel Customer Journey Optimization
Track the customer’s journey, improve their perceived value, and create a suitable user scenario. By tracking the consumer across multiple devices (whether it’s smart phone, tablet, or computer) in real-time, we can gain insight on the customer’s behavior, and optimize the buyer’s journey. By recommending products in a customized scenario, we can dramatically decrease our websites’ bounce rate, maximize conversion rate, and ultimately achieve the goal of increasing sales.
Strategy #3: Scenario-Oriented Recommendation
Gain insight on your client by improving customer intimacy. Utilize the process of feature engineering to build a precise profile of your customer. Construct a data mining model and predictive analytics model to better understand user habits, life cycles, retention and repurchase projections, etc. The ultimate goal is to build a long-term customer relationship by accurately grasping the principle of the 5 Ws: Who is your user group? When are they exposed to your message? What is the content of your message? Which part of your message takes top priority? Where will you place this message for users to see?
Strategy #4: AI Powered Persona for Contextual Marketing
Using machine learning to construct analytics and predictive models offers a more multifaceted view of the big picture. In the past, the RFM model was widely used. This model measures the recency, frequency, and monetary value of customer spending; however, a marketing strategy boxed in by these three dimensions fails to take other user behaviors into account, and so it may be inadequate to respond to market needs. Intelligent empowerment uses AI to enhance the model, allowing branded e-commerce companies to see a complete customer profile in real time, thus achieving the objective of precision marketing.
As Traffic Growth Tapers Off, Marketing Becomes More Fragmented
As the cost of digital advertising continues to rise, and more and more providers enter the market, internet user growth has not only slowed down, but the user population is showing signs of shrinkage. The era when traffic growth could be boosted by the increasing number of people going online has officially come to an end. And there is more for digital marketing teams in branded e-commerce companies to fret about. As consumers gain access to an increasing number of different devices, they are inundated by information. Digital marketing campaigns are not just competing with one another; they must wrest the users’ attention from other distractions, such as social media. Fragmentary marketing data is spread across multiple channels. If we cannot collect these valuable puzzle pieces and cobble together a complete story, we will never get a comprehensive picture of who we are selling to.
Combine Technology with Creativity to Enhance Brand Experience
As digital marketing and the e-commerce industry continue to transform, marketing specialists must remain flexible and make full use of the latest technology. They must use analytics tools to better understand the customer, and they must deliver the right message to the right audience through diverse channels, so their creative marketing content could have the intended effect. Based on this concept, iKala has been successful in creating many products that combine technology with creativity. For instance, KOL Radar, the biggest internet influencer matchmaking platform in Taiwan, uses AI technology to optimize its influencer recommendation database. Conceived in Taiwan but operating in Southeast Asia, Shoplus is an online community e-commerce tool that uses intelligent chatbots to meet social sellers’ needs. StraaS is a commercial streaming service that combines cloud streaming with AI technology for audio and video application purposes. PicaaS uses AI deep-learning to automatically touch up your photos. GCP.expert provides data analytics services for marketing. These are all examples of how an intimate brand experience for customers can be achieved with the support of cutting-edge technology. Learn more about iKala marketing technology:https://ikala.tv/
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