Understanding Attribution Models in Digital Marketing

Attribution Models in Digital Marketing

Attribution models help us understand which marketing actions contribute the most to getting a customer to buy something. They provide a way to optimize the user path by focusing on converted customers and identifying the channels and touchpoints that lead to conversion.

User Path/Marketing Events

User path/marketing events refer to the series of steps a user takes while interacting with a product or service, from their first encounter to the final action. This includes any interaction between the user and the customer.

Why Use Attribution Models?

Attribution models help us determine which channels are most effective, allowing us to distribute investment across channels strategically.

Types of Attribution Models

1. First-Generation Models

First-generation models are based on simple rules related to the position of touchpoints in the user path. They usually consider only one touchpoint.

One Touchpoint Models

  • Last Interaction/Click: This model attributes full conversion value to the last event, assuming the last interaction is most important (e.g., a newsletter click). Advantages: Maximizes efficiency and optimizes conversion. Disadvantages: Overvalues branded terms and remarketing.
  • Last Non-Direct Click: This model excludes direct traffic and attributes conversion value to the last click before conversion.
  • First Interaction/Click: This model attributes full conversion value to the first touchpoint (e.g., a newspaper ad or banner click). It helps businesses understand which channels or campaigns drive initial engagement, enabling them to allocate resources effectively and align with the customer journey.

Multiple Touchpoint Models

  • Position-Based/U-Shaped: This model gives more weight to the first and last touchpoints.
  • Linear: This model distributes conversion value evenly across all touchpoints.
  • Time Decay: This model gives more weight to touchpoints closer to the conversion.

2. Second-Generation Models

Second-generation models are data-driven and analyze the user path for each touchpoint, taking into account more data. However, they may not have a complete picture and consider all touchpoints, even those that don’t lead to conversion.

Data-Driven Models

Data-driven models use user journey data to accurately determine the impact of each touchpoint on conversion. They create personalized models for each advertiser based on input, considering all path information leading to conversion.

Challenges of Data-Driven Models
  • Results need to be understandable for decision-making.
  • It can be unclear which data these models should use (some only consider the last four interactions in the user journey, which may not be accurate enough).

Examples of data-driven models include Shapley Value and Markov Chains.

Programmatic Advertising

Programmatic advertising is the automated buying and selling of online ad spaces, targeting specific audiences using data and real-time bidding (e.g., a shoe company targeting users interested in sports shoes). Algorithms determine ad placement based on audience targeting and bidding. Advertisers provide their target audience to an ad server, which then places ads where people with those characteristics are present. This approach focuses on buying audiences.

Examining the Content Plan

Goal

Increase The Morning Grind’s online visibility and engagement to drive more online orders and foot traffic, catering to Sara Garcia’s preferences and needs.

Content Types

  • Social Media Content: Engaging posts on Instagram and TikTok showing the delicious coffee and pastries, behind-the-scenes of the baking process. This content aims to capture Sara’s attention during her scrolling sessions and encourage her to visit the shop or place an order online.
  • Educational Content: Informative posts/videos about coffee origins, brewing techniques, and pastry making to educate and engage customers. This content not only informs Sara about the products and processes but also aligns with her interests as a psychology major.
  • User-Generated Content: Encouraging customers to share their experiences at The Morning Grind on social media using a branded hashtag. This adds authenticity and social proof to our online presence.
  • Behind-the-Scenes Content: Sneak peeks into the kitchen, staff interviews, and stories to humanize the brand and build trust and connection.
  • Promotional Content: Special offers, discounts, and loyalty rewards exclusively for online and app orders. This content type aims to incentivize Sara to choose The Morning Grind over competitors by offering value and convenience.

Content Channels

  • Instagram: Visually appealing posts, stories, and reels to showcase the coffee shop’s offerings and atmosphere.
  • TikTok: Short-form video format to create engaging and entertaining content that aligns with Sara’s scrolling habits.
  • Blog on Website: Informative articles on the website to educate Sara and other potential customers about the brand and its products.
  • Facebook: Longer-form content such as educational videos, blog posts, and event announcements to reach a wider audience and foster community engagement.

Main Topics and Supporting Terms

  • Coffee Culture: Show the art of coffee-making, different brewing methods, and the origins of coffee beans to appeal to Sara’s interest in trying new drinks.
  • Baking Secrets: Sharing recipes, baking tips, and behind-the-scenes footage of the pastry-making process to pique Sara’s curiosity and showcase the craftsmanship behind The Morning Grind’s pastries.
  • Mental Wellness: Integrating content related to mental health, stress relief, and self-care, aligning with Sara’s psychology background and providing added value beyond just coffee and pastries.
  • Convenience & Technology: Emphasizing the ease of online and app ordering, along with tutorials for using the ordering platform efficiently.
  • Customer Experience: Sharing stories of satisfied customers, responding to feedback, and addressing FAQs to enhance the overall customer journey and satisfaction.

Examples

Interactive Content

Instagram Live Coffee Tasting: The Morning Grind hosts a live coffee tasting session on Instagram, where followers can join Sara and the barista for a virtual coffee journey. They explore different coffee beans, brewing techniques, and flavor profiles, engaging viewers in real-time discussions and Q&A sessions.

User-Generated Content

TikTok Recipe Challenge: The Morning Grind launches a TikTok recipe challenge, encouraging followers like Sara to recreate their favorite pastry recipe at home. Participants film their baking process, share their creations using a designated hashtag, and tag The Morning Grind. The most creative and delicious entries win a gift card for a free coffee and pastry combo, inspiring user-generated content and fostering community engagement.

Permission-Based and Non-Disruptive Models

Permission-based and non-disruptive models can strengthen relationships with consumers. Permission-based models prioritize obtaining explicit consent from consumers before engaging with them. This approach demonstrates respect for consumers’ privacy and preferences, building trust and respecting their choices. When consumers feel respected and in control of their interactions with a brand, they are more likely to develop a positive perception of the brand and its values. Non-disruptive models focus on delivering relevant and valuable content or interactions to consumers without interrupting their browsing experience, enhancing engagement with relevant content.

Lead Scoring in Digital Marketing

Lead scoring in digital marketing helps prioritize and qualify (grade) leads based on their potential to become customers.

Why Use Lead Scoring?

  • Efficiency: Prioritize resources towards leads with higher conversion potential.
  • Personalization: Tailor messaging and engagement strategies for better conversion.
  • Improved Conversion Rates: Focus on leads likely to become”good clients” boosting conversion rates.

How to Implement Lead Scoring

  1. Define Ideal Customer: Identify key characteristics of your ideal customer.
  2. Gather Information: Collect data on leads, such as demographics and behavior.
  3. Assign Value: Determine the importance of each piece of information.
  4. Score Leads: Quantify potential based on gathered data and assign scores.
  5. Lead Nurturing: Engage leads further through personalized communication.
  6. Differentiate Leads: Distinguish between Marketing Qualified Leads (MQL) and Sales Qualified Leads (SQL).

HubSpot’s Inbound Marketing Strategy

HubSpot uses an inbound marketing strategy. The aim of giving away free content is to attract potential customers by providing valuable resources and information that address their needs and challenges. By offering free content such as e-books, marketing kits, webinars, and blogs, HubSpot aims to position itself as a trusted authority in marketing and establish a relationship with prospects.

HubSpot’s strategy of providing free content is likely to work. By offering valuable resources at no cost, they attract potential customers who are looking for solutions to their marketing challenges. Providing high-quality, relevant, and engaging content helps build trust and credibility with prospects, making them more likely to consider HubSpot as a valuable resource and potential partner.