Artificial Intelligence And Social Media. How AI Can Improve Your Job Not Steal It.

Artificial intelligence (AI) is a buzz word that can be confusing and even scary. Some predict AI robots will replace humans, but in this article I will focus on what AI exists now and how it is helping or could be helping your social media strategy. AI empowered social media can assist in many areas such as content generation and optimization, 24/7 engagement, automated bidding and placement of social ads, enhanced audience targeting, automated analytics, personalization, and social listening.

AI and Big Data

Artificial intelligence is simply computer systems performing tasks that normally require human intelligence. In the world of big data AI comes in handy. Big data is the massive amounts of data so large and complex it can’t be processed with traditional data applications. This consists of structured data organized in databases and spreadsheets and unstructured data in free-form text, images and video in documents, articles and social media. IBM reports 2.5 quintillion bytes of data are created per day and over 80% is unstructured with much of that from social media.

Algorithms

An algorithm is a series of steps performed by a set of rules to perform a function. We’re most familiar with algorithms as the rules that decide what appears in social media feeds. We try to determine social network algorithm signals to increase our organic reach. Alternatives include paying for social ad placement or influencer marketing. AI can improve social ad campaigns and improve influencer marketing. AI in influencer marketing can aid in finding and vetting ideal micro-influencers for brands.

Automation

Automation is software that does things without human intervention. Examples include Amazon tracking shopping history to suggest similar items to automate cross selling. Automated testing pulls data to generate scheduled reports. Automated reminders help employees and customers through alerts and notifications. Drip marketing automates sending a series of communications on a schedule or by consumer trigger actions. Drip marketing has used email for years but also now uses chatbots in Facebook messenger.

Machine Learning

Machine Learning is when computers learn from experience by modifying processes from new input. Machine learning can use algorithms to try random variables learning which work best to achieve a goal such as lowest cost per impression or acquisition. Programmatic advertising uses machine learning and automated bidding and placement for media buying. Deep Learning goes further with data processing on a neural network for faster more complex learning. Pattern recognition is a form of machine learning where a computer can be trained to detect patterns in text or visual data.

Natural Language Processing And Generation

Natural language processing (NLP) finds linguistic patterns to analyze and synthesize speech. This is how Hootsuite Insights determines sentiment of brand social media conversations. It can also help with crisis management. Dataminr uses NLP to monitor real time social conversations for crisis communication and real time marketing. Natural language generation (NLG) takes non-language inputs and generates spoken language. Phrasee uses NLG for AI-powered copywriting creating data-driven, human-sounding brand copy for Facebook and Instagram.

Image Recognition

Image recognition or computer vision is software that can recognize people, animals and other objects. Brandwatch has an image detection and analysis tool that finds images containing a brand to report how, when, and where consumers are seeing it. CrowdRiff uses image recognition to discover user generated images (UGC). They combine this with brand owned images and performance data for content optimization. Pinterest has AI powered visual search called Pinterest Lens. Marketers can purchase search ads to appear in that search and use Shop the Look pins.

Predictive and Prescriptive Analytics

Predictive Analytics helps understand future performance based on current and historical data. Prescriptive analytics helps determine the best solution among various choices. Salesforce’s Einstein uses AI for customer and lead predictions and recommendations. Einstein analyzes sentiment and intent to route social conversations to the right person streamlining workflow. IBM’s Watson uses AI for campaign automation and marketing personalization. Virtual Assistants add human interface to software. Watson Assistant replaces tedious queries and spreadsheets with simple questions such as, “How did social media perform this month?”

Chatbots

Chatbots use AI to simulate human conversation through voice commands or text chats. Chatbots can be used for drip marketing automation, lead nurturing, onboarding, renewals, confirmations, and engagement. AI-empowered chatbots can also help lead customers through the sales funnel (AIDA). For awareness bots can initiate conversation at scale communicating one-to-one with 5 or 500 people. At the interest stage bots provide 24/7 engagement at the moment of interest. In the decision stage bots supply information, answer questions and send content. For the action stage smaller purchases can be completed by the bot or hand off more complex ones to a human.

Social Care

AI-powered support can improve customer service via social media. ManyChat’s Facebook Messenger chatbots give customers convenience and speed. Simple chatbots spot keywords and respond with predetermined answers. AI-powered chatbots use NLP to create conversations like human agents. When problems get too complex chatbots can recognize this and hand off the conversation to a real agent. Some report chatbots could save businesses $11 billion in support costs by 2025.

Social Ad Optimization

Pattern89 uses AI to analyze billions of data points daily to discover what social ad dimensions drive customer behavior. Their AI analyzes every combination of placement, device, interests, age ranges, behaviors, demographics for custom optimization insights. Clinch provides personalized programmatic social media content across the customer journey. AI enables them to generate unlimited personalized ad versions with real-time optimization for text, image and video. Motiva AI works with Oracle’s Elogua marketing platform to scan campaigns and make performance recommendations, optimize time and frequency suggestions, run auto multivariate messaging experiments, and automatically discover new audience segments.

Privacy And Ethics

With the General Data Privacy Regulations (GDPR) in Europe and new U.S. regulations like the California Consumer Privacy Act (CCPA) marketers are concerned about compliance. Charles Taylor argues that AI could help with consumer privacy protection. For example, Anyclip AI identifies video events and actions for contextualized social media ad placement. Using this AI could allow custom targeted messages without accessing third party consumer data. AI could also improve targeting to insure ads don’t appear with objectionable content. AI can also help with issues like cyberbullying. Instagram is using AI to identify negative comments before they’re published asking users, “Are you sure you want to post this?”

For the social media professional AI can help improve your job.

Gartner describes AI as a way to automate manual time-consuming processes to free up time, so marketers can be more strategic and creative. Pattern89 sums up the advantages of AI saying “AI algorithms work quickly and thoroughly, and they understand more data than a human can analyze within a single lifetime.” According to Adobe, the top marketing uses of AI include analysis of data, personalization, optimization and testing, image recognition, automated campaigns, content creation, programmatic advertising, digital asset management, video recognition, creative work, and automated offers. How are you using AI to improve your social media performance?

Why You Need a Social Media Measurement Plan and How to Create One.

After years of increases, social media spending declined in 2019.

The CMO Survey saw a drop in social media spending to 11% of marketing budgets from a high of 14% in 2018. Why? The authors suggest, “… despite massive financial investments, social media is rated as contributing only moderate value to company performance (3.3 on a scale where 7=very highly and 1=not at all).”

If you’re not confident in social media’s return on investment (ROI), it will only get harder to secure funding for social media budgets. How can you improve this confidence? Ensure you have a strong measurement plan in place to better prove social media’s impact on the bottom line.Social Media Strategy Measurement Plan for Marketing Advertising and PRStart with business objectives not social tactics.

In creating a social media strategy it is easy to start with social media tactics. You ask questions like, “How can we improve our Facebook page?” So you develop strategies to improve engagement on Facebook and you increase likes, shares and comments. Yet having a better Facebook page is not a business objective. That is why it gets hard when management asks how Facebook Likes contribute to the bottom line.

Having a measurement plan ensures you start with your business objectives (what impacts the bottom line) first. From there you create strategies and tactics (current and new) to help get to those objectives. Then you determine how those outcomes will be measured through KPIs (metrics) tied to micro- and macro- conversions. Goals are long term changes you would like to see. Objectives make goals measurable on a shorter time frame. Strategies are the ways you will meet objectives. Tactics are what you will use to implement the strategies. Click To Tweet

How to define business objectives.

The objective of most business’s is to increase sales, but each organization’s situation is unique and requires a much more nuanced definition. Insight can come from a situation analysis or the reason you are creating a new strategy. There is often a problem or opportunity that has become the focus of marketing efforts creating the story of your plan. The CMO Survey reports marketer’s see social media as a tool to help accomplish the following business objectives:

  1. Brand awareness/brand building
  2. Introducing new products/services
  3. Acquiring new customers (conversion/sale)
  4. Brand promotions (contest/coupons)
  5. Retaining current customers
  6. Improving customer service
  7. Improving employee engagement
  8. Marketing research
  9. Identifying new customer groups
  10. Identifying new product/service opportunities
  11. Improving current products/services

Identify strategies to meet business objectives.

Most social media plans have multiple strategies or ways to improve brand efforts and help to meet business objectives. List all your strategies such as an influencer marketing campaign, a special promotion, an employee advocacy effort or branding social media ads.

Identify tactics used to support key strategies.

List the main tactics that support each strategy. For example, a business objective to increase sales to a new market may have a brand awareness strategy supported by a tactic of targeted Facebook ads, a tactic of influencer marketing on Instagram, and a tactic of employee advocacy on LinkedIn.

List measurable conversions by tactic and strategy.

List measurable actions users take to fulfill your business objectives. They can take the form of macro-conversions and micro-conversions. Macro-conversions are the key actions closest to business objectives such as an online sale through website data or an offline sale through CRM or POS data. Micro-conversions are the smaller actions that move a prospect closer such as visiting webpages, signing up for a newsletter, down loading an app, or following a social media page. They can be tracked using various tools such as Google Analytics Tracking ID and Facebook Pixel for ads or organic posts.

Connect macro-conversions to business objectives.

Link social media metric KPIs by tactic and strategy to macro- and micro-conversions. Creating a dashboard of the KPIs for macro-conversions by tactic and strategy can be a top line report of social media’s contribution to company performance. Creating this in your digital measurement platform such as Google Analytics, Hootsuite, HubSpot, Salesforce, or Facebook Ads Manager gives you real time access or the ability to schedule regular reports to share with management.

Measure micro-conversions to map the customer journey.

Identifying and measuring micro-conversions on the way to macro-conversion can map out customer journeys. Micro-conversions help you understand human behavior giving insight to optimize strategies and tactics. Analyze metrics by tactic KPI to determine how many people are completing the customer journey and where you are losing or retaining people. This does not mean you will map one journey for all or even most customers. Google click stream data of thousands of customers found no two journeys were alike – varying from 1-176 days and 65-600 touchpoints across categories, brands and products. The marketing funnel still applies, but consumers have more control and options in moving themselves from awareness and consideration to conversion, loyalty and advocacy. Today it is more like a marketing scatter plot. The best you can do is optimize the touchpoint clusters around funnel stages and use CRM data for personalized content.

Conduct experiments to optimize strategies and tactics.

Having a good measurement plan that includes both micro- and macro-conversions enables you to know which tactics and strategies are contributing the most to company performance. From there you can experiment with different tactics and strategies replacing low performing ones to optimize social media. The results of a social media audit can help identify which strategies and tactics to experiment with first. While no two customer journeys are alike your micro-conversion and macro-conversion data can identify clusters of touchpoints versus outliers. Focus optimization efforts where many of your customers engage in the funnel stages on their  unique journey. Also deliver custom messages through unique customer tracking such as Google Analytics User-ID. Ultimately you want lower your cost per result or conversion.

The benefits of social media measurement plan.

Going through this process can take considerable time and effort. But once you have the plan in place the benefits are numerous. A social media measurement plan:

  1. Collects the right data to answer company performance questions.
  2. Creates reports or dashboards to share with decision makers.
  3. Allows analysis of segments of your social media plan.
  4. Enables testing different solutions to improve social efforts.
  5. Helps lower your costs per result or conversion.

Do you have a social media measurement plan? What else could help improve marketer confidence in social media’s contribution to company performance?