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Tools for managing digital platforms
Marketing tools, social media, and social media management software
Marketing Tool
Techniques/materials used for promotion of goods/services
Social media
Networks/platforms that enable creation and sharing of content
Social media management software
Software designed to publish and analyze content
Examples of social media marketing tools
Social listening software, social media management software, social analytics software, social influencer software, social advertising and/or commerce
Rules to choosing the right social media marketing tool
Investigate the tools offered by a platform
Think about what needs to be accomplished
Be sure the tool services the platforms needed
Consider how many people need to use the tool
Consider whether a free toll will suffice
Single-purpose social media marketing tools
Editorial calendar & Facebook insights
Editorial calendar
Developing a single specific marketing task
Facebook insights
Tools focusing on one specific platform, track and measure results, refine strategies, and measure ROI
4 V’s of Big Data
Volume, velocity, variety, veracity
Volume
Scale of data
Velocity
Analysis of data flow
Variety
Structured and unstructured data
Veracity
Uncertainty of data
Cookies
Remembers information about a user based on online activity. It’s also useful to advertisers
Big data marketing capabilities
Customer relationship management systems, data management systems, and predictive marketing platforms
Data brokers
Use information to compile detailed dossiers on us. Includes websites, streamed movies and videos, apps used, and geographic locations visited
AI System types
Augmented intelligence, autonomous intelligence, assisted intelligence, and automation
AI
A collective term for computer systems that can sense their environment, think, learn, and act in response to what they are sensing and their objectives
Augmented intelligence
AI adapts with humans; learning over time. Adaptive systems and humans in the loop
Autonomous intelligence
AI adapts and acts independently. Adaptive systems and no human in the loop
Assisted intelligence
AI assists; hardwired, no learning. Hardwired/specific systems. Human in the loop.
Automation
Automated tasks; no learning. Hardwired/specific systems. No human in the loop.
Marketing analytics
Technology-enabled and model-supported approach to harness customer and market data to enhance marketing decision making
Digital marketing analytics
Translation of online customer behavior into actionable business data
Key Performance Indicators (KPI)
Measurable value that shows the progress of a business goal and ROI.
Steps of using analytics to support marketing decisions
Customer relationship management (CRM), the marketing mix, personalization of the marketing mix, and privacy & security.
P’s of marketing analytics personalization
Pull presentation, passive presentation, and push presentation.
Pull presentation
Personalized service when explicitly requested. Ex: Going to Dell’s website to customize a computer. Create the personalization yourself.
Passive presentation
Personalized information based on related customer activities; consumer must act. Ex: Personalized coupons based on purchase history or loyalty information but users still have to act on that.
Push presentation
Personalized message without explicit request. Ex: Starbucks can send you a personal message about a drink on sale.
Integrated search results data about users
Integrated news feed ad inventory and profile data
Amazon
Integrated customer data and payment information
Netflix
Integrated content purchases and customer data
Snapchat
Integrating individually interesting content with mass market advertising in inventory
Uber
Integrating dispatch with customer management
AirBnB
Integrating property management and customer management
Parts of the consumer market value chain
Suppliers, distributors, and consumers/users using either horizontal or vertical integration
Important stakeholders for omnichannel marketing
Product, Marketing, Sales, Customer support, & Customer success
Multi-channel marketing today
Offers integrated and cohesive customer experience, Consistent and effective brand message, and not omni-channel
Characteristics of aggregators
Direct relationship with user, Zero marginal costs for serving users, & Demand-driven multi-sided networks with decreasing acquisition costs
Hootsuite
Popular social media management software. Can compare multiple social media platforms all at once, schedule posts, publish multiple social media platforms and monitor activity, and create reports.
Sprout Social
3rd party purchased service supplier. Takes over social media accounts, website trafficking, does marketing for you, and hiring experts in an economic way
Details of Sprout Social
Lack of control, it gives login and other information to 3rd parties, typically only for a campaign or mid-size firm, and uses a variety of tools.
Facebook interest targeting
Setting focused on a specific group of users and compare results there.
Big data
Datasets not metric or values. Large diverse sets of information growing at increasing rates. Uses multiple sources and multiple formats. A mix of structured and unstructured data.
Structured data
Quantitative and objective pre-defined nature. Easy to count, measure, and expressed in numbers.
Unstructured data
Unorganized or no pre-determined format. Examples are: audio, text files, and images.
Big data opportunities
More data means companies can better tailor products and marketing efforts. There is a higher satisfaction and repeat business. Can do deeper richer analysis
Big data problems
So vast it can create overload, noise, or misunderstanding of what’s valuable. Neds certain capabilities to handle certain volumes of data
Data today
Predicts personal attributes from social media likes, character traits expressed from phone calls, and rhythm of keyboard typing. Can predict personal attributes. Conflicts saying what they do and what their actual actions are
ChatGPT and AI Shopping
Can do full transactions through chatgpt. Sellers like shopify saw an increase in sales after it was implemented. Sites like amazon are trying to keep up
Data is the oil of the digital economy
Powers vehicles and makes other products that we consume everyday. Data is valuable commodity but is durable and reusable. Improve customer satisfaction by analyzing data
Direct relations with users
Aggregator characteristic. Relationship that is payment-based, account, or regular usage.
Zero marginal costs for serving users
Characteristics of aggregators. Initial companies had to do 3 times marginal costs. Aggregators are digital and may need costs in the beginning. Digital distribution costs
Demand-driven multi-sided networks with decreasing acquisition costs
Digital goods means theres an abundance of supply. Superior discovery or service. Success user experience
Aggregation Theory
Winner takes all. Become better users the more consumers and users they serve. More users= better company. Connect supply with demand. Bring value to companies by removing overhead costs by doing this efficiently over the internet
Multi-channel vs. omni-channel
Not all channels can qualify. Can have great social media campaign, mobile marketing approach, and great approach but if they don’t work together it isn’t omnichannel
Omnichannel marketing
Multi-channel sales approach with an integrated and integrated customer experience. Holistic approach. Seamless. Aligns messaging, goals, objectives, and design
DisneyWorld App
Successful omnichannel approach. Starts with initial experience on their website. Trip planning that also works well on Disney device. Consumers can use app for attractions they want to see. Tools that sync to phone that acts as way to order food and load money.
Starbucks rewards app
Another successful omnichannel approach. Get free rewards card when you make a purchase. Encourage loyalty program. Reload card online, in-app, in-store. Updates get updating at all platforms at the same time