Influencer Marketing Has Grown And So Has Its Strategies. Use This Social Media Influencer Planning Template To Grow Yours.

Influencer marketing is a growing part of social media strategy with 64% of marketers using influencer marketing. This is expected to grow to 86% by 2025. Influencer marketing focuses on leveraging key leaders to advocate on behalf of a brand to reach the larger market.

Influencers can be people with a large social following in specific areas of interest or industries or they can be celebrities such as sports stars, musicians, or Hollywood actors. Influencer marketing has grown beyond experimentation and is now a significant part of social media strategies. Planing for the right influencer marketing strategy is more important than ever.

Influencer marketing has grown more complicated over the years.
Photo by Marvin Meyer on Unsplash

Why and How Brands are Investing in Influencers.

Edelman’s Trust Barometer reveals that 63% of consumers trust what influencers say about brands more than they trust the brands themselves. Nearly 35% of social media users ages 16-34 say they’re very or extremely likely to purchase something because their favorite influencer and another 46% are somewhat likely to do so. The leading goals of influencer marketing include sales (38%), brand awareness (29%), and brand Engagement(24%).

Influencer marketing is big yet you don’t a big celebrity to succeed. Only 18% of people say they’re attracted to influencers for their larger following. Relatability is nearly twice as important as popularity as a quality that attracts people to influencers. Micro influencer marketing is when brands partner with people who have smaller followings on social media to promote products in an authentic way versus sponsored ads. Micro-influencers have fewer followers, but they have highly engaged audiences.

To put together an effective influencer marketing program:

  1. Identify your objective. Are you trying to increase sales, awareness, or engagement?
  2. Identify your target audience or audiences, as that will determine your influencers.
  3. List the social platforms on which your target audiences are most active.
  4. List the message you want to convey or the interest area you want to influence.
  5. Identify influencers active on those social platforms discussing those interest areas.
  6. Decide the type from a brand-run program, influencer network, or influencer agency.

To create an influencer marketing campaign, leverage existing sponsorship deals with influencers, find influencers and negotiate a campaign, or use an influencer marketing network or agency. Influencer marketing tools can be used to find influencers and brand advocates.

The way you plan and purchase influencer marketing is different than other social media advertising. Use the social media influencer planning template below to select, schedule, and track your influencer strategy.

(Click on the template image to download a PDF)

Social Media Influencer Marketing Planning Template

Consider the Type of Influencer and Type of Program.

Are you looking for a celebrity (famous in traditional media), a social media star (known for or because of social media), or a thought leader (known for industry knowledge)? Celebrities have a lot of advantages, including their mass reach and appeal. Yet film, music, or sports celebrities can be expensive, and people may question the authenticity of their endorsements.

Social media stars may have fewer followers, but those followers could be more engaged, and endorsements could be seen as more believable. Thought leaders are a good choice for certain product or service categories in B2B. A mention or recommendation by an industry leader can carry a lot of weight.

Influencers are categorized by follower numbers into three categories of mega, macro, and micro. Also consider the type of influencer program that is right for the brand, budget, and resources. Some brands choose to build and manage their own influencer program. Some use an Influencer network that streamlines finding and paying influencers for fees. Others hire an influencer agency to provide full-service management of their influencer marketing. Types of influencers and types of influencer programs are summarized below.

Different Strategies and Budgets Require Different Types of Influencers.

Types of Influencers Types of Influencer Programs
Mega-Influencers More than 1 million followers Brand Influencer Program Company managed program
Macro-Influencers 100K-1M followers Influencer Network A platform that streamlines the process
Micro-Influencers 1K to 1M followers Influencer Agency Full service managed

It may be tempting to only go for the mega or macro-influencers because of their massive reach, but micro-influencers are often more effective. Adweek reports micro-influencer engagement can be 60% higher, their buys are 6.7 times more efficient, and they can drive 22 times more conversions. More than half of the Association of National Advertisers’ brands use mid-level (66%) or micro influencers (59%) while less than half are using macro influencers (44%).

Influencer Content Type and Strategy.

Once you have your influencers, decide how content will be created and spread. You may think it is best to have the most control, but content created by the brand and merely shared could come across as not genuine. Certain influencers or influencer networks may also have their own standards for what they will or will not do.

Consider the pros and cons of influencer-shared brand content, influencer-created brand content, or product and service reviews and mentions. Get creative with influencer brand account takeovers, brand guest content contributions, or collaboration on content, or a giveaway.

There are four main influencer marketing strategies:

  1. Affiliate marketing is an advertising model that pays third-party publishers, including influencers, to generate traffic and sales via a commission.
  2. Giveaways are promotions to give away free products to drive awareness and engagement, often with influencers.
  3. Social media takeover is when a brand lets someone, typically an influencer, temporarily post content on its social media accounts.
  4. Branded content is content created by an influencer featuring a business partner.

The average price per influencer marketing post is between $2,200 and $3,000—lower for micro-influencers and higher for macro influencers. This may seem like a lot, but according to the State of Influencer Marketing report, firms average an earned media value of $5.20 per dollar spent on influencer marketing.

Average influencer rates:

  • More than 500,000 followers: $2,085 per post
  • 30,000 to 500,000 followers: $507 per post
  • 5,000 to 30,000 followers: $172 per post
  • 500 to 5,000 followers: $100 per post.

No matter which influencer campaign a brand runs, the law requires influencers to disclose their financial relationship with the brand. The Federal Trade Commission summarizes the requirements in its Social Media Influencer Guide. What type of influencer strategy is best for your business or organization?

This Was Human Created Content!

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?

No matter how you use AI ensure you Ask The Right Questions To Ensure You Have The Right Strategy, follow Best Practices For Social Media Content To Improve Your Writing And Design, and have a good Social Media Measurement Plan.