How To Think In Funnels (And Achieve The Best Possible Outcomes)

AIDA model | Marketing | Research Starters | EBSCO Research

<p>The AIDA model is a marketing framework that outlines the stages consumers typically go through when making a purchasing decision: Attention, Interest, Desire, and Action. Developed in the late 19th century by American marketer Elias St. Elmo Lewis and later refined by Edward Strong in the 1920s, this model aims to guide marketers in capturing potential buyers&#039; attention and leading them toward a purchase. </p> <p>In the Attention stage, marketers employ engaging strategies to attract consumers, often using eye-catching visuals or intriguing information. Next, the Interest stage focuses on maintaining that attention through memorable content or relatable messaging. The Desire stage demonstrates how a product or service fulfills the consumer&#039;s needs, often using persuasive techniques like testimonials or demonstrations. Finally, the Action stage prompts the consumer to make a purchase, providing clear instructions on how to proceed.</p> <p>While the AIDA model remains relevant, marketers today may adapt it to incorporate new elements, such as Retention or Satisfaction, reflecting the evolving digital landscape and consumer behavior. Overall, the AIDA model serves as a foundational tool for understanding consumer engagement and facilitating effective marketing strategies.</p>

Search, Discovery, Pills, and Portals

Solving the distribution crisis in marketing

Field Experimentation in Marketing Research

Despite increasing efforts to encourage the adoption of field experiments in marketing research (e.g., Campbell 1969 ; Cialdini 1980 ; Li et al. 2015 ), the majority of scholars continue to rely primarily on laboratory studies ( Cialdini 2009 ). For example, of the 50 articles published in Journal of Marketing Research in 2013, only three (6%) were based on field experiments. The goal of this article is to motivate a methodological shift in marketing research and increase the proportion of empirical findings obtained using field experiments. The author begins by making a case for field experiments and offers a description of their defining features. She then demonstrates the unique value that field experiments can offer and concludes with a discussion of key considerations that researchers should be mindful of when designing, planning, and running field experiments.

Signaling theory in entrepreneurial fundraising and crowdfunding research

Researchers often employ signaling theory to explain the effect of entrepreneurial communication on fundraising success. This focus on signaling can lead researchers to overlook alternative explana...

Revenue Models (2026): 19 Different Ways to Make Money [B2B & B2C] - Gust de Backer

So many different revenue models... But, which one fits your business? Over the past few decades, many new revenue models have proven to be profitable. That's why I'm going to show you 16 different revenue models so you can evaluate if there might be a better way to monetize the value you deliver to your customer. Let's start... What is…

There Are Actually Just Three Ways To Grow

Most brands obsess over distribution when the real growth comes from moves marketers can’t make alone

How Targeting Affects Customer Search: A Field Experiment

It has become common practice for retailers to personalize direct marketing efforts based on customer transaction histories as a tactic to increase sales. Targeted email offers featuring products in the same category as a customer’s previous purchases generate higher purchase rates. However, a targeted offer emphasizing familiar products could result in curtailed search for unadvertised products, as a closely matched offer weakens a customer’s incentives to search beyond the targeted items. In a field experiment using email offers sent by an online wine retailer, targeted offers resulted in decreased search activity on the retailer’s website. This effect is driven by a lower rate of search by customers who visit the site, rather than a lower incidence of search. There are several ways this could potentially hurt retailers and consumers, such as reduced cross-selling and fewer opportunities for customers to explore new products. This paper was accepted by Pradeep Chintagunta, marketing.

Selling the American People: Advertising, Optimization, and the Origins of Adtech

How marketers learned to dream of optimization and speak in the idiom of management science well before the widespread use of the Internet.Algorithms, data

Introduction to the Journal of Marketing Research Special Interdisciplinary Issue on Consumer Financial Decision Making

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Advertising as a Reminder: Evidence from the Dutch State Lottery

We show that advertising can act as a reminder for consumers who intend to buy a product. , Consumers who intend to buy a product may forget to do so because they suffer from limited attention. Therefore, they may value being reminded by an advertisement. This reminder effect of advertising could be important in many markets but is usually difficult to document. We study it in the context of buying a product that has existed for almost 300 years: a ticket for the Dutch State Lottery. This context is particularly suitable for our analysis because the product is simple, it is very well known, and there are multiple fixed and known purchase cycles per year. Moreover, radio and TV advertisements are designed explicitly to remind consumers to buy a lottery ticket before the draw. This can conveniently be done online. We develop an approach to distinguish reminder effects of advertising from other effects, such as conveying information about the size of the jackpot. The key idea is that reminder effects are short lived. We use minute-level advertising and online sales data and find that the reminder effect of advertising is strong. Reaching 1% of the population by a radio advertisement leads to an increase in online sales of 1.55% in the four hours after the advertisement is aired. For TV advertisements, the increase is 0.78%. We show that the effects generally last longer for radio advertisements. We also provide direct evidence that reminding consumers not only affects the timing of purchases but also leads to market expansion. Finally, we estimate a model of consumer behavior under limited attention to quantify the effect on total sales. We find that total sales would be 16.7% lower without the reminder effect of advertising and that shifting advertising to the week of the draw would lead to a 9.2% increase in sales. History: Puneet Manchanda served as the senior editor and Günter Hitsch served as associate editor for this article. Supplemental Material: A replication package with code and log files and an Online Appendix are available at https://doi.org/10.1287/mksc.2022.1405 .

Product-Market Fit (2026): What, Why and How [+ Pyramid] - Gust de Backer

Do you already have a Product-Market Fit (PMF)? I've been hearing it more and more lately, the question of whether someone has a PMF yet. Maybe you're already familiar with the term, you already have it or you just want to know how to get it… I'm going to explain to you: What a Product-Market Fit (PMF) is How to…

Targeted Promotions on an E-Book Platform: Crowding Out, Heterogeneity, and Opportunity Costs

Targeted promotions based on individual purchase history can increase sales. However, the opportunity costs of targeting to optimize promoted product sales are poorly understood. A series of randomized field experiments with a large e-book platform shows that although targeted promotions increase promoted product sales and purchases of similar products, they can crowd out purchases of dissimilar products (i.e., e-books from nontargeted genres) by decreasing search activities of nontargeted goods on the same platform. The effects on total sales are heterogeneous, ranging from net decreases to insignificant drops, motivating a targeting exercise comparing strategies that optimize promoted product sales versus total sales. Targeting for promoted product sales tends to assign promotions to customers who purchased similar products, whereas targeting for total sales assigns promotions on the basis of other user characteristics. Targeting for promoted product sales generated incremental total sales that amounted to approximately 29% of the optimal incremental total sales when targeting for total sales (an opportunity cost of 71%). The optimal targeting exercise highlights how maximizing promotional lift can incur opportunity costs in terms of other forgone sales.

Uniting the Tribes: Using Text for Marketing Insight

Words are part of almost every marketplace interaction. Online reviews, customer service calls, press releases, marketing communications, and other interactions create a wealth of textual data. But how can marketers best use such data? This article provides an overview of automated textual analysis and details how it can be used to generate marketing insights. The authors discuss how text reflects qualities of the text producer (and the context in which the text was produced) and impacts the audience or text recipient. Next, they discuss how text can be a powerful tool both for prediction and for understanding (i.e., insights). Then, the authors overview methodologies and metrics used in text analysis, providing a set of guidelines and procedures. Finally, they further highlight some common metrics and challenges and discuss how researchers can address issues of internal and external validity. They conclude with a discussion of potential areas for future work. Along the way, the authors note how textual analysis can unite the tribes of marketing. While most marketing problems are interdisciplinary, the field is often fragmented. By involving skills and ideas from each of the subareas of marketing, text analysis has the potential to help unite the field with a common set of tools and approaches.

Save More Today or Tomorrow: The Role of Urgency in Precommitment Design

To encourage farsighted behaviors, previous research suggests that marketers should invite consumers to precommit to adopting these behaviors “later.” However, the authors propose that people will draw different inferences from different types of precommitment offers, and that these inferences can help explain when precommitment is (and is not) effective at increasing adoption of farsighted behaviors. Specifically, the authors theorize that simultaneously offering consumers the opportunity to adopt a farsighted behavior now or later (i.e., offering “simultaneous precommitment”) may signal that the behavior is not urgently recommended; however, offering consumers the opportunity to adopt that behavior immediately and then, only if they decline, inviting them to adopt it later (i.e., offering “sequential precommitment”) may signal just the opposite. In a multisite field experiment (N = 5,196), the authors find that simultaneously giving consumers the chance to increase their savings now or later reduced retirement savings. Two preregistered lab studies (N = 5,080) show that simultaneous precommitment leads people to infer that taking action is not urgently recommended, and such inferences predict less adoption of recommended behaviors. Importantly, offering sequential precommitment increases inferred urgency, predicting greater adoption. Together, this research advances knowledge about the limits and potential of precommitment.

Graphtracks: Descubra Análises de Marketing Blue Sky e Estatísticas de Negócios

Graphtracks oferece um banco de dados abrangente de estatísticas e análises para o fediverse e plataformas de mídia social descentralizadas. Explore os principais criadores no Bluesky e obtenha insights valiosos sobre estratégias de marketing blue sky e tendências de negócios.