Bobbie Goods, love strawberry, pacifier trend: platforms as consumption infrastructure

Column

Digital

September 09, 2025

Bobbie Goods, love strawberry, pacifier trend: platforms as consumption infrastructure

Discovery, production, distribution, and purchase happen in the same circuit, and each new peak trains the system for the next

I may even seem late talking about these subjects, but I’m not. If there is anything that social media has taught us is that relevance is not measured by “who posted first”, but by who understood how the wave forms, propagates, and converts into behavior. In some cases, into sales.

What I propose for this article is to think about some recent phenomena that have taken over social media and which you have certainly heard of: the Bobbie Goods coloring book, the viral phenomenon of the love strawberry, the trend of pacifiers for adults, and the “memetic” and iconic reincarnation of Odete Roitman, not as curiosities of the feed, but as evidence that platforms have ceased to be media to become infrastructure for consumption, whether of the content itself or of the product behind the trend. On them, discovery, production, distribution, and purchase happen in the same circuit, and each new peak trains the system for the next.

The platforms have become a consumption infrastructure because they shorten the path between seeing, desiring, and acting. TikTok’s algorithmic “for you” (FY) feed, Instagram’s “reels/explore”, and YouTube’s “shorts” put content in front of people who are not even followers yet, increasing the factor of “discovery“.  

On the production side, the applications themselves offer templates and effects that put everything in the right format without much technical effort: ready-made templates, automatic captions, narration (voice-over), green screen, video acceleration (time-lapse), and response features like duets (which allow creating a video side-by-side with another person’s video). When this material is created in easy-to-copy videos, it gains scale with repeatable formats like ASMR (Autonomous Sensory Meridian Response, which is the appeal of sound and texture), POV (point of view), among several others, which multiplies reach organically.

The conversion sticks to the content, because the click is closer: it can be given by a direct link, by a DM (private message) or by the platform’s native store. All this shortens the path between liking and buying or requesting information. And all this returns in simple data to read: retention in the first 10 seconds, click-through rate, saves, shares, and remixes.

This data helps to repeat what worked and adjust what didn’t work in the next publication. The result is a compact funnel: seeing, desiring, and acting happen in minutes. We are not just talking about gaining audience. We are talking about a logistics of attention that culminates in a behavior, whether it’s purchasing or sharing.

In the examples in this column, you can see this mechanism end-to-end. In the “love strawberry”, the close and the sound of the cone (ASMR) grab attention, and the profile already provides a link and DM for the menu and orders. The jump from the feed to WhatsApp or delivery happens right there. At Bobbie Goods, the sped-up “color with me” video, with the color names on the screen, creates a simple ritual to reproduce; the video points to the link of the book or kit, and followers start publishing their own versions, fueling more discoveries.

Regarding Odete Roitman, the iconic lines become soundbites (short excerpts of the character’s speech) for lip sync and reactions. The profiles leave a fixed and permanent path for short video clips: on Instagram, with links in the bio or in highlights; on TikTok, through pinned comments, videos, and links in the bio. YouTube uses comments and the description with a link, and X, the pinned post with a link. It is this combination — which unites algorithmic discovery (process by which content is found by new users), facilitated production, copyable format, one-click purchase, and data to adjust and refine new videos — that transforms social media into consumption infrastructures.

Let’s get back to Bobbie Goods. At first glance, they are cute coloring books with a cozy aesthetic. But what makes this content scale is not just the delicacy of the stroke, it’s the way it ritualizes time. A format simple enough for anyone to reproduce without fear, which turns viewers into co-authors. When this gesture becomes a shareable habit, the algorithm recognizes the recurrence and promotes reward with more delivery. By similarity, it recommends other coloring videos, creating an “infinite shelf” that sustains discovery.

From the commercial side, the bridge is installed: books, kits, pens, papers, all a click away. Affection turns into a shopping cart not because someone “pushed a sale”, but because the experience was designed for participation, and the infrastructure shortened the path.

In the case of the “love strawberry”, the driver is sensory. As mentioned earlier, the “crock” sound works as a trigger for attention and desire. The ritual is hypnotic: melt, dip, harden, break. There is no need to explain anything, as the pleasure is evident. The format calls for close-ups and clean audio; it is easy to replicate in real kitchens; the audience recognizes the sequence and awaits the climax.

In a matter of hours, repetition creates critical mass: duets with reactions, tutorials, comparisons, memes. The transition from the feed to purchase is almost natural. When the square allows, there’s a line at the physical storefront. This is what happened with several bakeries. And here lies the difference between noise and results: those who had price, stock, automatic response, and payment methods ready captured the window; those who didn’t, became spectators of their own peak. The point isn’t “getting lucky with the trend“, but already operating with content and conversion linked from the start.

Odete Roitman is yet another example. The character reappears in the remake with layers that dialogue with the social media era: quotable phrases, surgical irony, scenes that fit into any contemporary joke. The phenomenon shows an important displacement: the soap opera may fluctuate on open TV and, at the same time, dominate social networks, taking the plot’s success to another channel.

The value ceases to fit into a single metric (TV audience) and is distributed across attention portfolios: time viewed, clip replication, mentions, name searches, creative appropriations. The TV audience feeds social networks, which in turn feed the TV audience. The soap opera Vale Tudo has been a success across all screens.

Each trend becomes an asset of the platform, not a happy accident. That’s why saying “after the hype” isn’t arriving late: it’s looking at how the system is working and how we are captured to act within that system.

The recent trend of adult pacifiers illustrates how the algorithm amplifies any gesture that combines emotional clarity and repetition, even when the promise is “relief” for anxiety. Influencers’ humor accelerates diffusion; the use of pacifiers by celebrities disseminates the fact; e-commerce responds with segmented supply; and the conversation easily slides into the normalization of a habit that carries psychological warnings. If platforms are infrastructure, brands and vehicles need to be context regulators: it’s not possible to turn everything into visibility and automatic validation.

For business, it is also necessary to accept that strategy, here, means testing and learning in short cycles, understanding that the thread that connects all of this is not just the moment, but the mechanism: emotional appeal, native resources, imitable format, coupled conversion, return data. However, it means understanding that not all phenomena that fill our feed will be leveraged within this mechanism. Not every trend should be reproduced solely out of fear of missing out.

Here, what matters least is to nail the next trend; what matters more is to build a strategy to participate in any that makes sense for the business with aesthetic coherence, operational capacity and risk governance, of course. And another thing: not all brands opt for this type of strategy. But for all of them, it is fundamental to understand that platforms are infrastructure and function based on retention mechanisms, offering ready-made resources for this. Everything else, the buzz, the reach, the “it seems like everyone is talking about it,” is a consequence.

Who wrote this column

Silmara Regina de Souza

Mestre em Administração, consultora pelo Sebrae SP. Palestrante, conteudista, especialista em marketing e comunicação digital. Entusiasta da produção de conteúdo e do uso estratégico das redes sociais como canais de relacionamento e comunicação.

You may also like

October 02, 2026

Determinants of supermarket location in São Paulo

A study investigated the determining factors for supermarket location in the state of São Paulo, with the objective of investigating the factors that explain the presence and expansion of these establishments, considering socioeconomic, demographic, and market dimensions. Data from the 2010 and 2022 Demographic Censuses of IBGE and information from the National Registry of Legal Entities of the Federal Revenue of Brazil were used to build a georeferenced database. A Random Forest classification model was applied, adjusted by grid search with cross-validation, prioritizing the recall-macro metric due to the imbalance of the dependent variable, which represented the presence or absence of supermarkets within a 50-meter buffer. The results indicated that supermarket location is strongly associated with demographic, income, and population characteristics in the surrounding area. The analysis of variable importance showed that sociodemographic factors, such as elderly literacy, household income, and the presence of other food establishments, exerted significant influence, especially in the immediate vicinity. The findings reinforced the hypothesis that the spatial distribution of supermarkets is not random, being conditioned by socioeconomic characteristics and the commercial structure of the territory, offering subsidies for business decisions and urban planning.

Keywords: Spatial Analysis; Machine learning; Expansion; Commercial location; Supermarkets.

Neuroscience And Learning In Education

October 02, 2026

Anti-Racist Education: Inclusive Educational Practices and Social Development

Antiracist education, understood as a structuring axis of inclusive education and social development, was investigated in the Brazilian context. The study aimed to identify and analyze, based on legal documents and teachers’ perceptions, educational practices capable of promoting antiracism in school and society, and how the implementation of Laws nº 10.639/03 and nº 11.645/08 contributed to social justice. A qualitative and documentary approach was adopted, with analysis of educational legislation, curricular guidelines, institutional reports, and academic literature. Complementarily, a semi-structured questionnaire was applied to 295 Basic Education teachers. The data were evaluated quantitatively and qualitatively, through thematic content analysis, and validated with bibliographic studies. The results revealed a paradox: despite a robust legal framework, the implementation of antiracist policies proved fragile and sporadic, with a lack of teacher training, adequate teaching materials, and monitoring. Significant educational inequalities between white and black students were found to persist, and most teachers acknowledged the occurrence of racism in schools, but without clear institutional protocols. Neuroscientific analysis showed that racism negatively impacts students’ cognitive and emotional development. It was concluded that antiracist education is central to quality education, requiring political commitment, public investment, and intersectoral articulation. The integration of Neuroscience in teacher training and the production of qualified materials are crucial to strengthen the school’s role in building a more just and inclusive society.

Keywords: Social Development; Antiracist Education; Social Justice; Law 10.639/03; Inclusive Educational Practices.

Neuroscience And Learning In Education

October 02, 2026

Paths of Inclusion: Perceptions of Parents and Teachers on the Schooling of Students with Dual Exceptionality in the Brazilian Context

Dual Exceptionality, characterized by the coexistence of High Abilities/Giftedness and neurodevelopmental disorders, represents a complex phenomenon that challenges traditional identification and schooling models. The study aimed to understand the perceptions of parents or guardians, teachers, and other education professionals regarding the schooling of students with Dual Exceptionality in the Brazilian context, investigating challenges, pedagogical strategies, and possibilities for inclusion based on equity. The research adopted a qualitative, exploratory, and descriptive approach, and collected data through an online, voluntary, and anonymous questionnaire answered by 25 participants. Discursive data were analyzed using thematic content analysis. The results indicated that knowledge about the topic is often built from personal and professional experiences, revealing gaps in systematic training. Difficulties were identified in identifying these students, in teacher training, and in implementing individualized educational plans, pedagogical flexibility, and curriculum enrichment. Socio-emotional repercussions, such as frustration and low self-esteem, were reported. However, some schools demonstrated inclusive practices based on equity, articulating specific needs and potentialities. Although the results do not allow for generalizations, they highlighted the need to strengthen professional training and the articulation between school, family, and specialized services. It was concluded that the inclusion of students with Dual Exceptionality requires practices that simultaneously recognize their difficulties and potentialities, ensuring equitable conditions for participation, learning, and development.

Keywords: Human development; Teacher training; School inclusion; Neurodivergence; Pedagogical practices.

October 02, 2026

Data Transformation into Strategy: Applied Research for Ecotourism Operation Optimization

The growing demand in ecotourism in Minas Gerais has driven the search for business intelligence to transform customer data into strategic information. The study aimed to structure a data science pipeline to collect, segment, and classify the customer base of an ecotourism operation, in order to optimize marketing actions and anticipate market movements. An exploratory, quali-quantitative research was conducted through a case study. 2,777 transactional records from an ecotourism company, referring to January 2024 to December 2025, were used. The methodological process involved automated data collection (Google Sheets API), processing and enrichment (ETL), validation, and creation of RFM (Recency, Frequency, and Monetary Value) attributes. Dimensionality reduction via PCA and K-Means clustering was applied, with the number of clusters defined by the Elbow method and Silhouette Score. The results were validated with DBSCAN and K-Medoids. The results revealed the identification of three behavioral customer segments: “Loyal”, “Low Value”, and “Potential”. The “Loyal” segment represented the highest accumulated economic value, while the “Potential” segment stood out for its high average ticket and potential for conversion into recurrence. The integration of data analysis techniques proved to be a robust and replicable method for generating intelligence in ecotourism. It was concluded that the structured data science pipeline enabled the behavioral segmentation of the customer base, the statistical validation of the groups, and the creation of a predictive system for new buyers, providing subsidies for data-driven strategic decisions and future analyses.

Keywords: Clustering; Business intelligence; Machine Learning; Customer segmentation; Decision making.

October 02, 2026

Classification of defaulting customers using supervised machine learning techniques

The risk of default in credit operations demanded analytical approaches to anticipate losses. This study comparatively evaluated the performance of supervised machine learning models in classifying defaulting customers in credit card operations. The public dataset “Default of Credit Card Clients” from the University of California Irvine was used, with 30,000 observations and class imbalance. The algorithms Logistic Regression, Random Forest, and Extreme Gradient Boosting were employed. The imbalance was addressed by assigning weights to the classes, and model optimization occurred with the RandomizedSearchCV method, prioritizing sensitivity. Cross-validation results indicated that the Extreme Gradient Boosting model showed a higher capacity for identifying the defaulting class and better discriminatory performance, followed by Random Forest and Logistic Regression, with a sensitivity of 0.8250 and an AUC-ROC of 0.7844 for XGBoost. Interpretability analysis, conducted by the Shapley Additive Explanations (SHAP) technique, highlighted the predominance of variables associated with payment behavior, especially the history of delays. It was concluded that tree-based models, particularly boosting techniques, proved to be more suitable for capturing complex patterns in the data, configuring themselves as consistent alternatives for credit risk management.

Keywords: Machine Learning; Credit Card; Classification; Extreme Gradient Boosting; Credit Risk.

October 02, 2026

Sentiment Analysis on Brazilian Banks on Twitter/X: Comparison between Traditional and Digital Institutions

A study analyzed public perception of Brazilian financial institutions on the Twitter/X platform, highlighting the importance of sentiment monitoring on social networks for understanding reputation and customer experience in the banking sector. The objective was to compare user perception of the image and reputation of traditional and digital banks, based on the sentiment patterns identified in the analyzed manifestations, seeking to identify structural differences between these groups. The methodology was based on the analysis of 1,096 tweets collected between November 2022 and June 2023. Two complementary sentiment analysis approaches were used, the sum and the average of labels, to capture the majority sentiment and nuances of perception. Additionally, the Market Profile Model, with indicators of emotional reputation, reputational risk, neutrality, and polarization, and the Banking Clustering Model, which allowed grouping institutions according to perception patterns, were developed. The results indicated a predominance of neutral and negative sentiments, a higher volume of interactions in digital banks, and structural differences in the emotional intensity of perceptions, with greater stability in digital banks and greater polarization in traditional ones. It was concluded that the combination of analytical and statistical techniques contributed to an in-depth understanding of institutional image in the digital environment, demonstrating the importance of data-driven reputation management strategies.

Keywords: Digital banks; Traditional banks; Data modeling; Opinion mining; Social Networks.

October 02, 2026

Optimization of annual budget planning through project management methodologies

The Annual Budget Planning (POA) is a crucial process for translating organizational strategy into operational and financial goals, but it frequently faces deadline pressures, interdepartmental dependencies, and the repetition of habitual expenses. The study aimed to analyze how the combined application of project management practices and Zero-Based Budgeting (OBZ) can optimize the POA. To this end, a case study was developed in the Brazilian operation of a publicly traded company in the beverage sector, using documentary research of its 2023 results report and an anonymous questionnaire applied to 47 respondents. Documentary analysis indicated growth in net revenue, expansion of gross profit and adjusted EBITDA, and contained advancement of selling, general, and administrative expenses, suggesting cost discipline and operational leverage. The complementary survey revealed a high perception of cascading effect on the schedule, strong support for defining cost package owners, and a preference for technical justification of expenses, in addition to demand for controlled flexibility after the baseline definition. It was concluded that structuring the POA as a project, associated with the rigor of OBZ, increased the process predictability, reinforced accountability for expenses, and broadened the coherence between budgetary execution and economic-financial performance.

Keywords: Cost Control; Operational Efficiency; Zero-Based Budgeting; PMBOK; Beverage Sector.