# Psychology of sequential offers in cross-selling and upselling

## Theoretical Foundations of Sequential Consumer Behavior

The architecture of digital commerce relies heavily on the strategic sequencing of offers, capitalizing on distinct psychological mechanisms that govern consumer behavior post-initial commitment. The deployment of sequential offers capitalizes on cognitive biases, behavioral momentum, and psychophysical pricing evaluations to maximize consumer lifetime value and average order value.

### Differentiating Upselling, Cross-Selling, and Upgrading

While frequently conflated in industry parlance, upselling, cross-selling, and upgrading operate on fundamentally different behavioral and economic principles. Upselling constitutes a vertical modification of an initial purchase intent, persuading the consumer to adopt a superior, more expensive iteration of the target item [cite: 1]. This mechanism capitalizes on status signaling, perceived quality enhancements, and the minimization of perceived risk associated with premium options [cite: 2]. Upgrading operates similarly but offers more desirable options at no additional charge, often used as a retention or loyalty mechanic [cite: 1]. 

Conversely, cross-selling represents a horizontal expansion of the purchase basket, introducing supplementary or complementary items that do not alter the primary product but enhance its utility or convenience [cite: 3, 4]. Cross-selling leverages the consumer's established transactional intent to append items that might not have triggered a standalone purchase sequence. The distinction is critical because consumer motivations differ significantly across segments; business-to-business (B2B) entities respond primarily to cross-sells that enhance operational flow and quantity discounts, whereas business-to-consumer (B2C) buyers are more susceptible to premium upselling driven by instant gratification and emotional connections [cite: 5].

### The Shopping Momentum Effect and Mindset Shifts

The efficacy of sequential offers is deeply rooted in the "shopping momentum" effect, a phenomenon where an initial purchase provides a psychological impulse that drives the acquisition of subsequent, unrelated products [cite: 6, 7]. Extensive empirical research establishes that completing an initial transaction reduces the psychological friction associated with subsequent expenditures [cite: 8, 9]. 

The theoretical underpinning of this effect is best explained by the Rubicon model of action phases, developed by Gollwitzer (1990), which distinguishes between deliberative and implemental mindsets [cite: 6, 10]. During the pre-decisional phase, consumers occupy a deliberative mindset, carefully weighing the pros and cons of an action, assessing utility, and experiencing a psychological barrier to parting with capital [cite: 8, 10]. The act of making an initial purchase crosses a psychological "Rubicon," transitioning the consumer into an implemental mindset [cite: 6]. In this state, the cognitive focus shifts from whether to act to how to execute goal-oriented actions [cite: 8]. This transition evokes feelings of commitment and significantly lowers the barrier to accepting subsequent offers [cite: 6].

### Hedonic Versus Utilitarian Purchase Drivers

The shopping momentum effect is highly context-dependent and exhibits distinct boundary conditions based on the nature of the primary purchase. Experimental evidence indicates that the nature of the initial driver item—whether utilitarian or hedonic—dictates the strength of the subsequent momentum [cite: 11]. Utilitarian purchases, which are items acquired for practical and functional purposes, are highly effective at inducing shopping momentum because they fulfill basic functional goals without triggering cognitive dissonance [cite: 11]. 

In contrast, hedonic purchases, which are desired for fun, luxury, or fantasy, often induce latent feelings of guilt [cite: 11]. This guilt prompts a "justification mindset," shifting the consumer's focus away from the desirability of subsequent options and toward their justifiability [cite: 11]. This psychological pivot returns the consumer to a deliberative state, effectively halting the momentum effect and reducing the likelihood of cross-sell or upsell acceptance [cite: 11]. Furthermore, physical or digital environment cues modulate this momentum; consumers interacting with an empty shopping cart remain anchored in a deliberative "whether-to-buy" mindset, whereas the presence of an initial item in the cart primes an implemental "which-to-buy" orientation [cite: 12].

## Cognitive Depletion and Decision Paralysis

The success of sequential offers relies not only on the generation of positive momentum but also on the systematic depletion of consumer cognitive defenses through prolonged exposure to transactional environments.

### Self-Regulatory Resource Depletion in Commerce

The sequential presentation of offers exploits the finite nature of human cognitive resources, a concept modeled through ego depletion theory and the limited strength model of self-control [cite: 13, 14]. According to this framework, active decision-making, weighing alternatives, and resisting temptation draw from a shared physiological or cognitive resource [cite: 15, 16]. As consumers navigate complex e-commerce environments, comparing specifications, prices, and reviews, this resource is gradually exhausted [cite: 14, 17]. When confronted with a subsequent upsell or cross-sell at checkout, the depleted consumer exhibits reduced self-regulatory capacity, defaulting to heuristics or passive acceptance rather than rigorous evaluation [cite: 13].

The severity of cognitive depletion is directly proportional to the complexity of the preceding choices. Studies utilizing the "Foot-in-the-Door" (FITD) paradigm demonstrate that more cognitively demanding initial requests produce higher levels of resource depletion, leading to increased compliance with subsequent requests due to impaired deliberative processing [cite: 8, 13]. This is evidenced by experiments where participants subjected to complex purchasing decisions perform significantly worse on subsequent self-regulation metrics, such as Stroop tasks or arithmetic problem-solving [cite: 13, 14]. 

While recent expansive meta-analyses have challenged the absolute magnitude of the ego depletion effect in strictly controlled, isolated laboratory environments, the behavioral outcome in cumulative commercial environments remains economically significant [cite: 14, 15]. In real-world shopping scenarios, decision fatigue consistently results in increased heuristic reliance, reduced resistance to sequential offers, and higher incidences of impulse buying after prolonged cognitive load [cite: 14, 16].

### The Paradox of Choice and Cognitive Overload

While presenting multiple upgrade options might theoretically cater to diverse consumer preferences, psychological evidence points to a strict "paradox of choice" that aggressively curtails conversion when sequential options multiply [cite: 17, 18]. Choice paralysis occurs when decision complexity exceeds the brain's mental processing capacity, causing the consumer to freeze, delay the purchase, or abandon the transaction entirely [cite: 18, 19].

When consumers are confronted with an expansive array of sequential offers, the brain struggles to establish clear comparison frameworks, resulting in cognitive overload [cite: 18, 19]. This overload triggers the fear of missing out (FOMO) and anticipatory regret regarding the potential of making a suboptimal choice [cite: 17, 20]. Empirical testing indicates that reducing choices from 24 to six can multiply overall purchase rates by up to ten times, and 64% of purchase probability declines stem directly from consumers avoiding searches when faced with excessive product recommendations [cite: 18]. 

Consequently, the most effective sequential offer architectures strictly limit choices. Single-action designs—such as emails or checkout pages presenting only one primary upgrade button—generate up to 371% more engagement than multi-option layouts because they eliminate decision fatigue [cite: 18]. In complex e-commerce ecosystems, mitigating this choice overload relies heavily on guided selling and AI-powered recommendation engines, which currently influence up to 35% of total e-commerce revenue by filtering out overwhelming variables [cite: 17, 19].

## Psychophysics and Pricing Optimization

Consumer evaluation of sequential pricing is not an exercise in absolute accounting; rather, it is a relative assessment anchored to the initial transaction. This relational processing of price is governed by established laws of psychophysics.

### The Weber-Fechner Law in Price Perception

When consumers evaluate the financial impact of an upsell, their perception is governed by the Weber-Fechner Law, a foundational principle of psychophysics originating from the 19th-century work of Ernst Heinrich Weber and Gustav Theodor Fechner [cite: 21, 22, 23]. The law posits that the "just noticeable difference" (JND) between two stimuli is proportional to the magnitude of the initial stimulus, meaning human perception of change scales logarithmically rather than linearly [cite: 22, 24, 25].

In the context of sequential upselling, the Weber-Fechner Law dictates that the perceived financial pain of an upgrade is determined by its percentage relative to the initial anchor price, not its absolute dollar amount. Industry optimization data systematically corroborates this psychological principle. Conversion rates for upsells drop precipitously if the additional cost exceeds 25% of the original purchase price [cite: 26]. Within this psychophysical boundary, the consumer perceives the supplementary cost as a marginal increment rather than a distinct, standalone financial burden [cite: 23, 26]. E-commerce benchmark data reveals that the optimal absolute monetary zone for maximum return on investment sits in the $51 to $100 range, which averages a 16.2% conversion rate and a 31.4% revenue lift, provided the offer respects the proportional constraints of the primary anchor [cite: 26, 27].

### Offer Architecture and Presentation Friction

The architectural placement and friction level of a sequential offer dictate its conversion efficacy as strictly as its psychological framing. Digital commerce has evolved highly specific mechanisms for deploying cross-sells and upsells, each generating vastly different conversion benchmarks.

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The pre-checkout "order bump"—a single checkbox presented on the checkout page (e.g., "Add priority shipping for $4.99")—represents the zenith of conversion optimization, averaging a 37.8% acceptance rate [cite: 26, 27]. This mechanism succeeds by entirely eliminating decision-making friction; it requires no navigation away from the payment flow and leverages the consumer's established implemental mindset [cite: 26]. 

Following closely in post-transactional efficacy are post-purchase one-click offers, which average a 14.6% conversion rate [cite: 26, 27]. These offers are presented immediately upon payment completion, utilizing stored payment credentials to allow consumers to add items without re-entering data [cite: 28, 29]. Because the primary transaction is already secure, this mechanism carries zero risk of initial cart abandonment, representing pure incremental revenue [cite: 26, 29, 30].

| Sequential Offer Mechanism | Average Conversion Rate | Psychological Driver / Advantage |
| :--- | :--- | :--- |
| **Order Bumps (In-Cart)** | 37.8% | Zero navigational friction; captures user in peak implemental mindset prior to payment execution [cite: 26, 27]. |
| **Video Sales Letter (VSL) Funnels** | 34.7% | High emotional engagement; utilizes narrative persuasion to justify continuous spending [cite: 27]. |
| **SaaS In-App Upgrades** | 27.6% | Contextual relevance; triggered when users hit strict usage limits, creating immediate utilitarian need [cite: 27, 31]. |
| **Post-Purchase One-Click** | 14.6% | Risk elimination; secures primary revenue first, then capitalizes on residual shopping momentum without requiring payment re-entry [cite: 26, 28]. |
| **Email Upsell Sequences** | 11.3% | Relies on reactivation; suffers from the decay of the implemental mindset and requires overcoming inbox friction [cite: 26]. |

### Diminishing Marginal Returns in Offer Sequencing

While upselling and cross-selling are highly profitable—selling to an existing customer yields 5 to 25 times more profit than new customer acquisition—the continuous deployment of sequential offers is subject to the economic law of diminishing marginal returns [cite: 5, 32]. As the frequency of offers and the marketing expenditure driving them increase, the conversion output cannot continue to scale linearly; eventually, the consumer base and marketing channels reach a strict saturation point [cite: 33].

In econometric modeling, this phenomenon is captured via saturation curves (often S-curves or Hill transformations), where the efficiency of marketing efforts declines exponentially according to power functions [cite: 33, 34].

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 The highest-intent consumer cohort converts rapidly; subsequent expansion requires extracting capital from increasingly resistant, deliberative consumers, resulting in heightened Customer Acquisition Costs (CAC) [cite: 33, 35]. For example, econometric modeling reveals that aggressively scaling ad spend in a saturated channel can drop return on investment (ROI) from 2.8:1 down to 1.2:1 [cite: 34]. Reallocating that budget toward earlier funnel awareness can increase incremental sales by 18% without raising total aggregate spend [cite: 34]. Consequently, aggressive, uninterrupted sequential upselling eventually triggers choice fatigue and psychological reactance, damaging long-term Customer Lifetime Value (CLV) if not capped strategically [cite: 36, 37].



## Cross-Cultural Variances in Offer Acceptance

The psychological response to sequential selling is not universally uniform; it is heavily moderated by cultural dimensions, particularly individualism, uncertainty avoidance, and power distance. E-commerce platforms that fail to adapt their upselling architectures to localized cognitive styles experience significant conversion drop-offs [cite: 38, 39, 40].

| Cultural Dimension | Western Markets (US/Europe) | Eastern Markets (Asia) | Upselling Strategy Implications |
| :--- | :--- | :--- | :--- |
| **Self-Concept** | High Individualism; emphasizes self-expression and uniqueness. | High Collectivism; emphasizes group harmony and social identity. | US markets respond well to premium upgrades highlighting individual status. Asian markets respond better to cross-sells based on social proof and collective trends [cite: 39, 41]. |
| **Uncertainty Avoidance** | Generally lower; greater tolerance for new or unexpected checkout flows. | Highly variable (e.g., Japan/Taiwan high; China/Singapore low). | High uncertainty avoidance cultures require transparent, multi-step reassurances during the upsell process rather than aggressive 1-click surprises [cite: 38]. |
| **Communication Style** | Direct, explicit, and straightforward. | Implicit, delicate, and highly context-dependent. | European/US upselling can be humorous or aggressive. East Asian upselling requires subtle, emotionally resonant framing [cite: 39]. |
| **Privacy Sensitivity** | High; strong resistance to perceived data exploitation. | Historically lower; higher acceptance of personalized data sharing. | Western consumers display greater reactance to AI-driven personalization if it feels invasive, whereas Asian markets show higher tolerance for deep personalization [cite: 42]. |

In Western contexts, consumers are highly motivated by status-signaling and the personalization of luxury, making them prime targets for direct upselling (upgrading) based on exclusivity and individual identity [cite: 2, 39]. However, Western consumers also report significantly higher skepticism and privacy concerns regarding foreign-based platforms; for example, European consumers express higher perceived risk utilizing Asian platforms like Alibaba compared to domestic equivalents, impacting trust at the checkout phase [cite: 38]. 

Conversely, in Eastern cultures, purchasing decisions are strongly influenced by collective identity and social harmony. Consequently, cross-selling strategies that recommend what "others in your group purchased" perform exceptionally well by mitigating social risk and reinforcing group cohesion [cite: 39, 43]. Cross-border platforms must dynamically adjust their user interfaces—ranging from the assertiveness of pop-ups to the types of payment gateways offered—to respect these ingrained cultural thresholds [cite: 39, 41, 44].

## Applied Sequential Architectures in Digital Ecosystems

The translation of psychological theory into applied software architecture represents the operational frontier of sequential selling. Digital platforms utilize behavioral triggers and algorithmic automation to engineer commitment momentum.

### Software as a Service Upselling Dynamics

In the Software as a Service (SaaS) sector, upselling is primarily executed through feature gating and contextual prompts embedded directly within the user workflow. Top-quartile SaaS companies achieve average upsell conversion rates of 42.3% by aligning their offers with immediate utilitarian needs [cite: 26, 27]. 

Platforms deploy specific behavioral triggers to prompt upgrades. For instance, the collaboration software Miro restricts users to three active boards on free tiers; an upsell prompt is triggered precisely when a user attempts to create a fourth board, leveraging loss aversion by warning that existing boards will become view-only unless the account is upgraded [cite: 45]. Similarly, platforms like Asana provide temporary free trials of premium features, allowing freemium users to habituate to advanced functionality before imposing a paywall, effectively creating an endowment effect that drives subsequent purchases [cite: 31, 45]. Other architectures, such as those used by Zapier and Dropbox, rely on persistent, usage-based notifications that trigger contextual upgrade prompts the moment processing limits or storage capacities are reached [cite: 31, 45]. By timing the upsell to coincide with high-friction moments in the user's workflow, SaaS platforms maximize the perceived value of the premium tier.

### Artificial Intelligence and Agentic Commerce Flows

As digital commerce evolves, the deployment of sequential offers is increasingly managed by autonomous algorithms. The most significant architectural shift in recent commerce is the rise of "agentic commerce," formalized by the establishment of the Universal Commerce Protocol (UCP) in April 2026 by a consortium of hyperscalers and payment networks [cite: 46]. Under this paradigm, AI agents negotiate directly with a merchant's backend API, dynamically discovering catalogs, stacking complex discounts, and processing transactions without the user navigating a traditional visual website interface [cite: 46].

When the merchant retains control of the AI within their proprietary ecosystem, conversion metrics are formidable. Implementations like Microsoft Copilot Checkout have demonstrated a 53% increase in purchases within 30 minutes when active shopping intent is detected [cite: 46]. By compressing the distance between the deliberative search phase and the implemental checkout phase, AI reduces the friction that traditionally causes cart abandonment [cite: 47].

However, this hyper-optimization is bounded by a new constraint: consumer trust [cite: 48]. As AI models optimize pricing and promotional eligibility in real-time based on granular user data, the boundary between helpful relevance and perceived manipulation narrows [cite: 48]. If an AI engine dynamically alters the price of a primary item upon the rejection of an upsell, or implements overly aggressive scarcity timers, consumers perceive an immediate loss of fairness. Personalization fails not due to algorithmic inaccuracy, but because the consumer experiences psychological reactance against algorithmic opacity, resulting in sudden cart abandonment and long-term brand erosion [cite: 48]. Furthermore, early empirical studies indicate that third-party AI aggregator referrals currently convert at significantly lower rates than organic search or traditional affiliate links, highlighting that AI cannot entirely replace the trust built by direct merchant-consumer relationships [cite: 46].

## Regulatory Scrutiny of Psychological Manipulation

The aggressive optimization of upselling and continuity programs has drawn unprecedented regulatory scrutiny globally, fundamentally altering how companies can sequence offers. Regulatory bodies have recognized that the psychological friction preventing a consumer from canceling an offer is often weaponized to trap them in continuous billing cycles.

### Dark Patterns and Interface Interference

Regulatory attention is heavily focused on "dark patterns," which are manipulative user interface designs constructed to exploit cognitive biases—such as loss aversion, inattention, and fatigue—to steer consumers into decisions counter to their intent [cite: 49, 50, 51]. 

| Dark Pattern Typology | Mechanism of Action | Regulatory Impact |
| :--- | :--- | :--- |
| **Interface Interference** | Privileging specific actions through visual hierarchy (e.g., hiding opt-out buttons, minimizing font sizes for costs) [cite: 52, 53]. | Directly violates clear and conspicuous disclosure mandates [cite: 52, 54]. |
| **Confirm Shaming** | Guilt-inducing language designed to trigger social or emotional discomfort (e.g., "No thanks, I don't want to save money") [cite: 49, 51, 53]. | Explicitly targeted in FTC enforcement actions as manipulative [cite: 51, 53]. |
| **Forced Continuity / Action** | Requiring users to perform tangential actions (creating accounts, accepting trials) to access primary functions, often converting to paid subscriptions automatically [cite: 49, 52]. | Prohibited under updated negative option frameworks globally [cite: 52, 55]. |
| **Misleading Scarcity** | Utilizing fake countdown timers or low-stock indicators to artificially induce the fear of missing out [cite: 49, 50]. | Investigated by consumer protection networks as deceptive advertising [cite: 49]. |

### The Amazon "Iliad Flow" Precedent

The clearest manifestation of regulatory intervention against psychological manipulation occurred in September 2025, when the U.S. Federal Trade Commission (FTC) secured a historic $2.5 billion settlement against Amazon, comprising a $1 billion civil penalty and $1.5 billion in consumer refunds [cite: 53, 56, 57]. The core of the FTC's complaint centered on Amazon's use of dark patterns to trap consumers in Prime subscriptions [cite: 51, 53, 58].

The FTC specifically targeted Amazon's cancellation architecture, internally dubbed the "Iliad Flow" after Homer's epic [cite: 51, 53]. The Iliad Flow forced consumers seeking to cancel through a labyrinthine four-page, six-click, fifteen-option process laden with emotional friction, misleading buttons, and aggressive sequential upsells offering alternative discounts [cite: 56, 59]. The process deliberately preyed upon decision fatigue, resulting in a 14% drop in successful cancellations as consumers simply gave up [cite: 51, 53]. The settlement established a massive legal precedent: user interface design and cancellation architecture are now treated as legally actionable conduct under the Restore Online Shoppers' Confidence Act (ROSCA) [cite: 60]. The FTC's actions definitively classify forced sequential friction during cancellation as an illegal deceptive practice [cite: 60].

### Evolution of the Federal Trade Commission Negative Option Rule

Following widespread litigation regarding dark patterns, the FTC enacted sweeping amendments to its "Negative Option Rule," effective January 14, 2025 [cite: 55, 61]. The rule governs subscriptions, auto-renewals, and continuity plans where a consumer's silence is interpreted as consent to be charged [cite: 61, 62]. 

The regulatory framework imposes strict architectural requirements on e-commerce platforms and expands to cover B2B transactions [cite: 63]. Most notably, it mandates a "click-to-cancel" mechanism that is as simple and frictionless as the initial sign-up process, expressly forbidding businesses from forcing consumers to navigate multiple pages of retention upsells, interact with chatbots, or transfer to live customer service agents to terminate digital agreements [cite: 63, 64, 65]. Furthermore, the rule strictly separates consent; businesses can no longer embed recurring billing consent within general terms of service or a generic "Accept All" button [cite: 63]. Sellers must clearly disclose the existence of the negative option, its total cost, and cancellation procedures prior to capturing billing information, effectively neutralizing the element of surprise that aggressive upsell funnels previously relied upon [cite: 54, 55, 61].

### European Union Digital Omnibus Integration

Parallel to U.S. developments, the European Union is restructuring digital commerce regulation through the Digital Omnibus Act, projected for enforcement in mid-to-late 2026 [cite: 66]. This legislative package consolidates overlapping directives across the General Data Protection Regulation (GDPR), AI Act, ePrivacy Directive, NIS2, and the Digital Services Act (DSA) into a unified interoperable framework [cite: 66, 67].

Under the preexisting DSA, the EU already explicitly banned dark patterns and the display of targeted advertisements based on sensitive personal data [cite: 68, 69]. The 2026 Digital Omnibus goes further by targeting the friction inherent in sequential consent models. It mandates "single-click accept/reject" standards for data collection and marketing consent, eliminating the practice of hiding opt-out buttons behind complex menus [cite: 66]. It also introduces a mandatory six-month moratorium on prompting consumers for consent after a refusal, legally prohibiting the "nagging" practices common in SaaS upselling architectures [cite: 49, 66]. While the European Commission estimates these consolidations will save businesses EUR 5 billion by 2029 through reduced compliance duplication, the stringent rules effectively outlaw the highest-friction sequential selling tactics previously utilized to manufacture psychological compliance [cite: 66].

## Sources

1. [Federal Register - Negative Option Rule](https://www.federalregister.gov/documents/2024/11/15/2024-25534/negative-option-rule)
2. [Growth Engines - E-commerce Checkout Optimization](https://growth-engines.com/insights/ecommerce/ecommerce-checkout-optimization)
3. [Software Stack Investing](https://softwarestackinvesting.com/)
4. [CCSEnet - International Journal of Business and Management](https://ccsenet.org/journal/index.php/ijbm/article/download/0/0/53224/58048)
5. [CETDigit - SaaS Founders Bible](https://www.cetdigit.com/blog/saas-founders-bible-the-rise-fall-and-future-of-saas-2020-2025-part-1-navigating-market-shifts)
6. [Growth Engines - E-commerce Checkout Optimization](https://growth-engines.com/insights/ecommerce/ecommerce-checkout-optimization)
7. [CartyLabs - Shopify Plus Checkout Optimization](https://cartylabs.com/blog/shopify-plus-checkout-optimization)
8. [Kissmetrics - Checkout Optimization Lessons](https://www.kissmetrics.io/blog/checkout-optimization-lessons)
9. [CartHook - Shopify Upsell and Cross-Sell Apps](https://carthook.com/blogs/compare/shopify-upsell-and-cross-sell-apps-gro-one-click-upsell-funnels-vs-x-sell)
10. [Cirkle Studio - Upselling and Cross-Selling](https://www.cirklestudio.co/blog/upselling-and-cross-selling/)
11. [Usercentrics - EU Digital Omnibus Package](https://usercentrics.com/knowledge-hub/eu-digital-omnibus-package/)
12. [K.E. Mitchell - DSA Regulation Overview](https://dsa.kemitchell.com/)
13. [European Commission - Digital Services Act Policies](https://digital-strategy.ec.europa.eu/en/policies/digital-services-act)
14. [European Commission - Keeping Us Safe Online](https://commission.europa.eu/news-and-media/news/digital-services-act-keeping-us-safe-online-2025-09-22_en)
15. [BEUC - How SHEIN Uses Dark Patterns](https://www.beuc.eu/sites/default/files/publications/BEUC-X-2025-051_How_fast_fashion_giant_SHEIN_uses_dark_patterns.pdf)
16. [Rebuy Engine - Upsell Cross-Sell 101](https://www.rebuyengine.com/blog/upsell-cross-sell-101-ecommerce)
17. [The Future of Commerce - E-commerce Cross-sell Up-sell](https://www.the-future-of-commerce.com/2013/10/14/ecommerce-cross-sell-up-sell/)
18. [Adsmurai - Cross-selling and Upselling with Data](https://www.adsmurai.com/en/articles/cross-selling-and-upselling-how-to-scale-your-e-commerce-with-data-intelligence)
19. [BigCommerce - Upselling and Cross-Selling](https://www.bigcommerce.com/articles/ecommerce/upselling-and-cross-selling/)
20. [La Growth Machine - Upsell vs Cross-Selling Differences](https://lagrowthmachine.com/upsell-cross-selling-differences/)
21. [Checkout.com - Retail Trends](https://www.checkout.com/blog/retail-trends)
22. [Fintech Brainfood - AI Checkout](https://www.fintechbrainfood.com/p/ai-checkout)
23. [Consumer150 - AI at the Checkout](https://consumer150.com/p/ai-at-the-checkout-where-personalization-meets-its-limits)
24. [Ecommerce News Asia - AI Shopping Boom](https://ecommercenews.asia/story/ai-shopping-boom-puts-checkout-under-pressure)
25. [OpenPR - AI-Powered Checkout Market](https://www.openpr.com/news/4387799/ai-powered-checkout-market-accelerates-with-rising-demand)
26. [Andrew Leigh - Ending Unfair Tricks and Traps](https://www.andrewleigh.com/speech_ending_the_unfair_tricks_and_traps_that_exploit_consumers)
27. [Cambridge Core - HCI and US Law Dark Patterns](https://www.cambridge.org/core/books/humancomputer-interaction-and-us-law/dark-patterns/20FD8AC30F45E9EE09256EAEEB70B9FB)
28. [Gibson Dunn - US Cybersecurity and Data Privacy](https://www.gibsondunn.com/us-cybersecurity-and-data-privacy-review-and-outlook-2025/)
29. [Federal Register - Negative Option Rule (Page 1)](https://www.federalregister.gov/documents/2024/11/15/2024-25534/negative-option-rule?ed11f097_page=1)
30. [Cookie Script - Dark Patterns 2026 FTC Rule](https://cookie-script.com/privacy-laws/dark-patterns-2026-the-ftc-new-click-to-cancel-rule)
31. [Dhar, Huber, Khan (2007) - The Shopping Momentum Effect](https://spinup-000d1a-wp-offload-media.s3.amazonaws.com/faculty/wp-content/uploads/sites/48/2019/06/The_Shopping_Momentum_Effect.pdf)
32. [ResearchGate - The Shopping Momentum Effect](https://www.researchgate.net/publication/228631479_The_Shopping_Momentum_Effect)
33. [IJARSCT - Shopping Momentum Paper](https://www.ijarsct.co.in/Paper22750.pdf)
34. [Marketing Letters - Reinforcement vs Balance](https://people.duke.edu/~jch8/bio/Papers/Reinforcement%20vs.%20Balance%20Marketing%20Letters%202008.pdf)
35. [Emerald Insight - Broad-minded planning and narrow-minded action](https://www.emerald.com/apjml/article/32/4/961/14641/Broad-minded-planning-and-narrow-minded-action)
36. [Datarize - Paradox of Choice in E-commerce](https://www.datarize.ai/blog/2026-03-09-%EC%84%A0%ED%83%9D%EC%A7%80%EA%B0%80-%EB%A7%8E%EC%9D%84%EC%88%98%EB%A1%9D-%EB%A7%A4%EC%B6%9C%EC%9D%B4-%EB%96%A8%EC%96%B4%EC%A7%84%EB%8B%A4-%EC%9D%B4%EC%BB%A4%EB%A8%B8%EC%8A%A4%EC%9D%98-%EC%84%A0%ED%83%9D-%EC%97%AD%EC%84%A4)
37. [CMSWire - Choice Paralysis](https://www.cmswire.com/customer-experience/choice-paralysis-is-quietly-wrecking-your-conversions/)
38. [Zoovu - Why Choice Overload Will Hurt Sales](https://zoovu.com/blog/why-choice-overload-will-hurt-your-sales)
39. [Invesp - Consumer Choice Overload](https://www.invespcro.com/blog/consumer-choice-overload/)
40. [Crobox - Choice Overload](https://www.crobox.com/blog/choice-overload)
41. [NCBI - Impact of Consumer Cultural Values](https://pmc.ncbi.nlm.nih.gov/articles/PMC8026092/)
42. [OJS USP - Cultural Differences Cross-border E-commerce](https://ojs.usp-pl.com/index.php/fm/article/viewFile/14335/13722)
43. [Journal of Applied Business - Cultural Differences E-Commerce](http://www.na-businesspress.com/JABE/JABE22-4/4_Hongfei_TianFinal.pdf)
44. [JOEBM - Cross-border Live Streaming](https://www.joebm.com/vol13/JOEBM-V13N3-881.pdf)
45. [Miami Scholarship - What Drives E-commerce Across Cultures](https://scholarship.miami.edu/esploro/outputs/journalArticle/What-Drives-Electronic-Commerce-across-Cultures/991032070009702976)
46. [Prospeo - Upsell Strategies Data](https://prospeo.io/s/upsell-strategies)
47. [Focus Digital - Upsell Conversion Rate 2025](https://focus-digital.co/average-upsell-conversion-rate-2025-report/)
48. [Opensend - Upsell Take Rate Statistics](https://www.opensend.com/post/upsell-cross-sell-take-rate-statistics-ecommerce)
49. [Recast - Diminishing Returns](https://getrecast.com/diminishing-returns/)
50. [Analytical Alley - Diminishing Returns Curve](https://www.analyticalalley.com/knowledge-hub/diminishing-returns-curve-marketing)
51. [Duke Papers - Reinforcement vs Balance](https://people.duke.edu/~jch8/bio/Papers/Reinforcement%20vs.%20Balance%20Marketing%20Letters%202008.pdf)
52. [Oxford Academic - Single Option Aversion](https://academic.oup.com/jcr/article/40/3/555/2379775?login=true)
53. [PDX Scholar - Unplanned Purchase Motivations](https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1178&context=busadmin_fac)
54. [Journal of Consumer Research - Hedonic vs Utilitarian Driver](https://journal.psych.ac.cn/acps/EN/10.3724/SP.J.1041.2013.00206)
55. [NCBI - Shopping Cart States Activate Mindsets](https://pmc.ncbi.nlm.nih.gov/articles/PMC6562309/)
56. [FastCompany - Amazon Iliad Flow Lawsuit](https://www.fastcompany.com/91409096/amazon-iliad-flow-prime-lawsuit)
57. [Blacklist Alliance - FTC Amazon Settlement](https://www.blacklistalliance.com/blog/a-closer-look-at-the-ftcs-25-billion-amazon-settlement)
58. [Citeline - FTC v Amazon Dark Patterns](https://insights.citeline.com/RS154444/FTC-v-Amazon-Is-Dark-Patterns-Case-To-Watch/)
59. [Proskauer - FTC Amazon Settlement Broadens Span](https://www.proskauer.com/pub/ftc-focus-amazons-25b-pact-broadens-regulatory-span)
60. [Stratechery - Amazon Friction and the FTC](https://stratechery.com/2023/amazon-friction-and-the-ftc/)
61. [Regulations.gov - FTC Negative Option Rule Comments](https://www.regulations.gov/document/FTC-2024-0047-0001)
62. [FTC - Rule Concerning Negative Option Plans](https://www.ftc.gov/system/files/ftc_gov/pdf/p064202_negative_option_rule.pdf)
63. [GRSM - E-Comm Legal Guide 2025](https://www.grsm.com/wp-content/uploads/2025/07/E-CommLegalGuide.pdf)
64. [Federal Register - Negative Option Rule](https://www.federalregister.gov/documents/2024/11/15/2024-25534/negative-option-rule)
65. [Federal Register - Subscriptions and Other Negative Option Plans 2023](https://www.federalregister.gov/documents/2023/12/08/2023-26946/negative-option-rule)
66. [NCBI - Online Shopping Cultural Impact](https://pmc.ncbi.nlm.nih.gov/articles/PMC8026092/)
67. [ResearchGate - Cultural Differences in E-Commerce US vs China](https://www.researchgate.net/publication/220500371_Cultural_Differences_in_E-Commerce_A_Comparison_between_the_US_and_China)
68. [CSUSB - Cross Cultural Differences U.S. and Chinese Customers](https://scholarworks.lib.csusb.edu/cgi/viewcontent.cgi?article=1144&context=jitim)
69. [WeSupplyLabs - Cultural Differences Ecommerce Returns](https://wesupplylabs.com/cultural-differences-in-ecommerce-returns-navigating-the-challenges/)
70. [Journal of Applied Business - Cultural Differences E-commerce Volume 22](http://www.na-businesspress.com/JABE/JABE22-4/4_Hongfei_TianFinal.pdf)
71. [JMSR - Impulse Buying E-Commerce](https://jmsr-online.com/article/understanding-the-psychology-of-impulse-buying-in-e-commerce-a-behavioral-review-314/)
72. [NCBI - Premium Effect in Upselling](https://pmc.ncbi.nlm.nih.gov/articles/PMC8188260/)
73. [Emerald Insight - Prompting Additional Purchases](https://www.emerald.com/jstp/article/26/5/657/457821/Prompting-additional-purchases-while-providing)
74. [Now Publishers - Customer Lifetime Value](https://doi.org/10.1561/1700000002)
75. [NCBI - Ego Depletion: Limited Resource Model](https://pmc.ncbi.nlm.nih.gov/articles/PMC2935540/)
76. [Politesi - Ego Depletion & Impulse Buying](https://www.politesi.polimi.it/bitstream/10589/173553/1/2021_04_Romagnoli.pdf)
77. [UCSD - Ego Depletion Meta-Analysis (McCullough)](https://pages.ucsd.edu/~memccullough/Papers/EgoDepletionMetaAnalysis_Text_Revision_for_circulation.pdf)
78. [MDPI - Impulsive Buying and Emotion](https://www.mdpi.com/2071-1050/14/12/7500)
79. [UMN - Decision Fatigue Field Study](https://assets.csom.umn.edu/assets/113144.pdf)
80. [SaaStock - SaaS Cross-Selling Techniques](https://www.saastock.com/blog/increase-saas-revenue-10-cross-selling-techniques/)
81. [Userpilot - SaaS Upselling Examples](https://userpilot.medium.com/12-best-upselling-examples-from-saas-examples-and-best-practices-666b6c79517b?source=user_profile---------29----------------------------)
82. [Jamezz - Psychology Behind Upselling](https://jamezz.com/blog/the-psychology-behind-upselling)
83. [Userpilot - Upselling Examples SaaS](https://userpilot.com/blog/upselling-examples-saas/)
84. [UpsellGuru - Mental Mapping of Upselling](https://upsellguru.com/the-mental-mapping-of-upselling-understanding-the-psychology-behind-hotel-upsells/)
85. [Race to the Bottom - FTC Amazon Prime Settlement 2026](https://www.theracetothebottom.org/rttb/2026/1/15/amazons-prime-problem-the-ftc-pushes-back-on-deceptive-web-design)
86. [Claim Depot - Amazon Securities Investigation](https://www.claimdepot.com/investigations/amazoncom-inc-securities-2025)
87. [Medium - Amazon's $2.5B Problematic UX](https://medium.com/design-bootcamp/2-5-billion-for-problematic-ux-how-amazons-dark-ux-patterns-became-design-debt-nafisa-ecd5c8e72548)
88. [Blacklist Alliance - FTC Amazon Settlement Breakdown](https://www.blacklistalliance.com/blog/a-closer-look-at-the-ftcs-25-billion-amazon-settlement)
89. [Hacker News - Amazon Fined 2.5B Comments](https://news.ycombinator.com/item?id=45374064)
90. [TLDV - Master Upselling Psychology](https://tldv.io/blog/master-upselling/)
91. [ResearchGate - Customer Social Status and Service Performance](https://www.researchgate.net/publication/324993417_The_effect_of_customer_social_status_and_dissatisfaction_on_service_performance)
92. [NCBI - Advertising, Incentives, and Upsell](https://pmc.ncbi.nlm.nih.gov/articles/PMC8188260/)
93. [Emerald - Enhancing Menu Upselling](https://www.emerald.com/ijchm/article/doi/10.1108/IJCHM-02-2025-0202/1276223/Enhancing-menu-upselling-through-human-and-robotic)
94. [Journal of Sales Transformation - Why Evolve](https://www.journalofsalestransformation.com/why-evolve/)
95. [Everyday Concepts - Weber-Fechner Law](https://everydayconcepts.io/weber-fechner-law)
96. [Wikipedia - Weber-Fechner Law](https://en.wikipedia.org/wiki/Weber%E2%80%93Fechner_law)
97. [NYU - Weber's Law Math](https://www.cns.nyu.edu/~msl/courses/0044/handouts/Weber.pdf)
98. [RIT - Threshold Versus Intensity](https://www.cis.rit.edu/people/faculty/montag/vandplite/pages/chap_3/ch3p1.html)
99. [NJU Wiki - Weber-Fechner Law](https://tcs.nju.edu.cn/wiki/index.php?title=Weber-Fechner_law)
100. [Analytical Alley - Diminishing Returns Curve Marketing](https://www.analyticalalley.com/knowledge-hub/diminishing-returns-curve-marketing)
101. [NCBI - Diminishing Returns Conversion Study](https://pmc.ncbi.nlm.nih.gov/articles/PMC7572302/)
102. [Mailchimp - Diminishing Returns](https://mailchimp.com/resources/diminishing-returns/)
103. [Graas - High Ad Spend Balance](https://www.graas.ai/blog/high-ad-spend-high-conversion-rate-balance)
104. [Mynt Agency - TV Ad Frequency for E-commerce](https://articles.myntagency.com/tv-ad-frequency-for-e-commerce/)
105. [NCBI - Customer-Directed Price Incentives](https://pmc.ncbi.nlm.nih.gov/articles/PMC8188260/)
106. [Ziadah - Psychology of Upselling](https://www.ziadah.app/en/blog/psychology-of-upselling)
107. [Springer - Asymmetric Competition in Choice](https://ideas.repec.org/a/spr/joamsc/v49y2021i6d10.1007_s11747-021-00791-1.html)
108. [Emerald Insight - Unsolicited Cross-Selling](https://www.emerald.com/jstp/article/26/5/657/457821/Prompting-additional-purchases-while-providing)
109. [FasterCapital - Upselling Techniques](https://fastercapital.com/articles/how-to-implement-upselling-techniques-for-growth--2261555.html)
110. [KU Leuven - Ego Depletion Consumer Behavior](https://lirias.kuleuven.be/retrieve/4e69f6c4-4f97-4b18-b568-d0b8270dbcbe)
111. [Fernando Nogueira Costa - Behavioral Economics](https://fernandonogueiracosta.wordpress.com/wp-content/uploads/2015/08/behavioral-economics-guide-2015.pdf)
112. [Duke Papers - Reinforcement vs Balance](https://people.duke.edu/~jch8/bio/Papers/Reinforcement%20vs.%20Balance%20Marketing%20Letters%202008.pdf)
113. [NCBI - Mindset and Unavailable Options](https://pmc.ncbi.nlm.nih.gov/articles/PMC6562309/)
114. [Stanford Mag - Brain on Bargains](https://stanfordmag.org/contents/this-is-your-brain-on-bargains)
115. [Emerald - Timing and Framing of Upselling](https://www.emerald.com/ijchm/article/34/7/2516/123961/The-joint-influence-of-the-timing-and-framing-of)
116. [ResearchGate - Systematic Review of Cross-Selling and Cross-Buying](https://www.researchgate.net/publication/381100014_A_systematic_literature_review_on_the_cluttered_cross-selling_and_cross-buying_subfield_A_call_to_action)
117. [International Journal of Science and Society - Up-selling and Cross-selling Brand Image](https://www.researchgate.net/publication/377541220_Analysis_of_the_Effect_of_Up_Selling_and_Cross_Selling_Sales_Methods_on_the_Brand_Image_of_KFX_UB_Jaya_I_Pharmacy_and_its_Impact_on_Purchasing_Decisions)
118. [NCBI - Lifecycle Marketing Transformed](https://pmc.ncbi.nlm.nih.gov/articles/PMC7587521/)
119. [Wayne State - Cross-Selling Data Mining](https://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=1478&context=oa_dissertations)

**Sources:**
1. [emerald.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHVQuf5c7jKKN7M-kSLV8SNxXxPgbvk798iYl0A-eT5EaC4UzwAlvToIIUoZQmDv6R356EYxLX5s2sQcSkx1ymG-nQUW2YvuCopKcHUejK1b2-vrRRVHB39ei2-y-mVvfmqOZzuVSVevNh2xsGYM8IiuTar2D2zTaeSd9wHDh7gOaRAaYnSvtaOuajWbK0Sr0cRNsM78FAiFv7rK1F5)
2. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFlN1cusciULBBSrpmHRyZOb3QvaFA5AfHibRMSK-RKJWM7ChKAu0kXrUsW1r282f8Zvfssdayteu9WWVEyY5HrfQo8wu-6JzdJDCkYvT6Aer-XPHKxPZoKKhFRKig1AruQz6WkC2Y8)
3. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFyx7zvkuWP1KXblQ4FQGQGLt24_qMcV3ET-RzkNKOGgG9YvmuJZ485KhCiOcKW1VEHtKrUEDcF0_sm0TN3QQhUPnMqKL7UC71nq-JALRyX6f9ecGraJfsJVnfVs6M73k6vGv3SYsbliFU-g41UEEZaCkxUPNLOt2Q9i1KjN-ML4mxGhR6mEp2KatKCixj52ea4PQ44nDBo3fSQC1OFOaMkha650DFOvwW3KkuvCfBXiHBJwTNhPdWvsWW58bBDfATnb6KIajJM_7ahjwGEQS8jNzA=)
4. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFwoj7JvQLy7fP5vlmlSt9lv78KQ8slt-mGsoZ98nmKgzWI7UN3PRXHKZ14pOHKjukCj8FcpoMFu0n2PFfc6ZDxiUERoT3gkzew2Km6oFITqwqR9NnJovWaW0xVjC2GcDterrI7ocyamPaltCKswZkhqp4q5A7JfUyiGq9nKicwFsCUUykMwGQ2Cl_Uf_2fmfiopX_S7OsjcUVhgBa09F2ufLmelE0iZM-75l8Lxcdt0IomEu7d6GmxNN7UcgGmJchto4cfmNcwE1W5S_mhabZtJy6pQ6apIik3hkr3LC9pKjmizPUXOKP_XT-vESvsYQkCvqkDXZ9wyfsN2DM9l18q2SU=)
5. [bigcommerce.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHc3sPxdzj3oW70dcGo-oeCkeEMPriRXfqg2Ablxra7iUelWdxmSfN2cygyaCclfGvVwderTqZRIPYDw6v3sQTzCi1jMxypOnFBtvSAgpyY-0KOKw5dttAsxFx1CGqVp0k7paruezNYgNYgmCpDLTeq19A2Pni-HF9-84XsW6l19ls=)
6. [amazonaws.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHSWG-8a8u8tuV_BQYSzR0zVxAz4C7WlfLwOpcOrqQv-Bi-w04GhU_3iXa36PDoo7QstpIRv-26qdez89JGYSxKMW_WeBtV6UTQOh6V3PV1eeRMfxAiJj3_1fKbsrxjogvO85ldi8Xun92Zw2c1d6jOJC9QHsb8pSpeIn8rIrAA3eaHlDAv8dKpU3TIJg26AZRLlGgAG2f7Tj2vrqa7EZZxzG9Y9MJw0EyiTKT09VTHQw-t1oGMtuuY_9Jp)
7. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGUC4a-9xDfJ3jODPMpC2uiW9dN9Y9JUUgpMQ73__TACdeaoloXbaY06Vms9aooRsy_FuLfjSrw52QTCzcRTKbzgEAn8lEAjFFrKfrH6c4Ao5OqFiwW6iMWtUdw93T_l7ZErb6-CiICr3WAV1cxTXbFINgpXFI4ijlh6HaDjIkfIqJefMYr)
8. [duke.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGUUplnGNf1WvqBNcOJuzdCs41YlQnwCChh-5NFzZKI_tcf1xFOP117Ih5xUAa60p49saUNwdf4k78pDsglyjfADsLWfprCtK8KnTX3e6U5OMJeYsLZJST_lcata8qStS1mPLolLKxP4CQaMj-YamKpxAc-1nZ1qzwyBauErYW_f-2XhDqM03i9URoSHd1DE4drhMMoWS2WPDMdr-yN)
9. [pdx.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHG0k1CeS8Wp3kMm71PhqcnCuD_01S2VhqEGM5a7X97ywPmMRgbgKp3XA7xcFZT4GqeI2TP8p9SelYkgc9j2ewRyuvVQ9y4Z2b1F7e4uZIi_3j5NGDdsf01e1tBjgqmpjtjwOqEK-fzVtZoTeLvMFBl2lFLRVhGjXLeDmDgbcD-DoWQrSyshc4Oosb1ULXi)
10. [emerald.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEAkmYYg1MCVRB_QYkdcce2bG1VEaTV8NlbKG4r0dBc19qYk1qwDGAB7ola0skj-SqeNj2LjJvzmjJdJ4kQOqnN-rEQ9CBO1MEOs2qBGUINBOdAsmrk_h0AwrR7o5aoxUwD0H2vl9n3kmpft8bK0sbZa9DVW5J4OTG8PauZHr4EptRIn9IWB71EyA1iuhnMl6JXLSzrQR_sm9o=)
11. [psych.ac.cn](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEvER7Z1hphwb54zBIJTYfaXq03m37CQuR42oYoNw4dKa17Lb2orqurwQQKf5nzdtKSaAT823IbR9wXLyLOHgqxVPnQBxqiT0xmdkDzyCeXvAXI3emmoDCgoq0M_wPrySe6lWL7Mqy6HSlu042DjO_t3o80LmxU)
12. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGT7nGPsAAiVxxX5htwLWKNEspXO3d8bF6ywDPWIXT8FgA5tHZmOQa5NX5N36U3xd07l7uEY3I26PXSc_z2HxLbG49N1Zsn33LZ81FTC9AUlnr9IJyG6ooVIs5HybuJZIhAYQtaVAae)
13. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGARxlFbZPI9PRjNtggvU1IjEZYrpbU5VW3CXvmM40CVaQp0iZ0LZPO7mDZkI2PdzaIh49lGJ5ESsOb55D8hHMHKfk_V02_FkGdXBhcW1zQd1IAyKSLdlKwRQnJax9sbgxtW2g3VnpA)
14. [umn.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHL71iC4JaJCaXnTJy-3RT9kBgGxhiXhrWeyXGv1agcY5Wrc_Z1w4_A_zJXrwwv2C2EQXWkhP2ugnHTMcXT71j0obqERLT-BHnL9Fgd7_1ehZuhhVdWL2rSpDxtoprZNCxQHYY=)
15. [ucsd.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGVfBaaHrnX2QDqvq3apCB2-Fz69MiWnWT9ByzT05IH7PDCSVN2hPlDNTfjCb_0kwWCMxIPBZOskUYbrH3Uwn1Orat6Ul_6MLT6uhPeEDrYBXNva51jX9bqFc3aCYLg3wgFktdbjNGQeLls44Sd8cnGTyYVYMcYHnHDlFnFuuAYs-UD9Z7cYwyLNxLdwgzoufH5Y55ufAdX1Pz8220=)
16. [kuleuven.be](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHOjZnBROT413C9VtM70pgotm1WJ537nGAE6AZeRxYEEOQ8TGc9n-6YYCzZCTnl9YKFwUD-QOi2Y4pLWa0-020bhU28TDTZ6YwrgP-DQoUfnLENHaFaRg68NxUpZ6MFyL7oFakfIIUMQTRGy7Dp-qZcxE77qWyIK_J16gWRPr4=)
17. [datarize.ai](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFjmLg-Sd19Ijq6LwblyCKtl1Ecw1trzZcO364Z1HxbTdgQzWZRB5Ui-JGaSmWX5OxIVrCgiwa-txBRKDf4XHihZsOsXEnCtg_6ga6NHyLQEJCv49F8CNIteLV4wZ8ldObVhk1YUyaUV4jcG8BEdGzrG8LzqzKWLVSX9JT34R5LyyM_1-feSeG0-98baOY-jfxSll-9udW6fM81qMVCOGrlpCL5yRydjBbWjVyRxJTSt1_30yPDTbeHVWV95-PMusmGF-YMLP6-TMUrM7NBsDz-qh4Hy9s5-tTjNTr7mhPNC8-nKK5gMim3ImZbp0ny8KIRmCl_MtHChAbbf74377c1pXmgjQpBZt55lMdtwgxEOpk7fNA3-5s2i27KWs6sPe4r802iwKx02_GoAqgfccpKvA18s6K1ZQM0oJscHw==)
18. [cmswire.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEktPKwJKCRwkfh70Qtulpd-_J4xvbKtorFpQ7XrPt8sPL9D1B9lNp3Q1aQGXvgBKz-wkXL0AH-61t-XpfUpojaaFirbP6NNRC5Jp5xWPATHavvKcVUPlc_wt9CpoQG3CQRBi_r1zM-r_1LWbuEPsIAN_O8GgyDHI6TtR-CsZ0diOLgAODYz-kDJCqJAyTX9HZ6JYkTD4T2ow==)
19. [crobox.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF89k_1zYRIO9STc7fhSDSC9yxaFucz569jHFh098TZjQFSwsSnfax9iLku_rOVxzolWwoJqcVj2jta52O3J7SefGvKz6CS6RtXHh1Om9X94h-zJSqbtXqyUa6atuRL7ENy)
20. [zoovu.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFnP7ZS5n2lf-z88qqvp9HUM-N2kGSiXSkW08xDGJ92xB1TnHDq6gf1lLF421vAPIBCuqHb4m3hArGtO6gzQsxHEgKvE71v1_WJ36KXk_HDeQWEJ0ItVB_6051ljV4srKGTcNtm1uOELauHO5f_ckAFo7lBIr8=)
21. [everydayconcepts.io](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF4FJIzSrFZry4QBOWOGNZ-f3tmRNZT1ien-a8I9Z6v1kUP3E7T82D33D3xQy8WVUD8kPctUSoWzxGnKeckyheD1kLEHErVLO7AxjIekRHA54gizfslHYpkNbh0LgJ4ey41lto=)
22. [wikipedia.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEMnpzjpU4RZXQDDYeVCAATG2LVwFR6Y5HvIxePW9Xfh_0JxQ7FT2Z5g9Rj16TVUZLu7BSgBa7Hda4GkluL2BwoQaE_7bg2ACHbkf9oo6CSsnIs6MXqbn_3lI6DelLKeovzakVfL6-ZfCWlULaL)
23. [nju.edu.cn](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHm14fJZz6njKm_-i-ul1Bp7eq7lDUdYCAVWk1mDbkrnHiYi-PwDKHYG1BPRGt_ua7ZyssLtdoxK3YXjb9srYhcFsMh4bWNhTBDyorjfxAJyGO7KKzeM_rfqe_yg-eI2WaKuZk0nDh_Xv00Teqd9pQBaYA3)
24. [nyu.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE_iI5Hm3B0dEDy_vwG_24t4l0KBP6VmaK0FvZepce1wX9IWQIBsQ30inLvn4aXOvgWSGy8AdKfeJgvBlQSSxoVcB0bUbEdHDg3nwwmtr09Z8bQrIR8CmsT68GuP7xoWN49sJBTHAGqJWekazfYrrZVJUc=)
25. [rit.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGs03q747HvlLA4wmWyMbwPhvc9EXYkg2YNb4nXelJn9_vO_YDudv1dyeGccKi_vsBM3frWHO5nJyrhuMluS7nl7U3CbSSXPp55Y1mYfGyaYQXiNKQWjoag8mgPa86eRLcVE7gioh-rocvd3xjxrHe4UJC3PKDCPqboiE6lvlkSxBvIzK6t)
26. [prospeo.io](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFmnLPw_aDBTPSLHim2cy7mgNQ5gcDDOfc35_MbrhiZWjoQzBGRquSXg0SWxZ2mDeqqN-md3POzE-wZbt6Jmc750pngoAOXY5r_3nNXW51khydYZ8Sz0fLEGCOPtQ==)
27. [focus-digital.co](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHNUzI9aYPkP3GStyiTbAj3l8OBC_1BA4WLO3SR4WqBDC7uBhzt2Qm5PJX1y6moUFt8Tl7s53XGzGkrGeHSzmNnel6MySYw0QxrPUA9PsXPHdZVIz-p7ZGZBQh-zzonGak6jwQZR2VBpY9SVrmkpGnYckp5kH0XE8F1ag==)
28. [growth-engines.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFrvVpqEPcKJBOHZjo-tRQyy5xWA-7VV74SvZMxbw9hSIKOiGBBV1FybvM6Pru7hi_YrZm7NzRU7h4OgowbnoxAaYUxNBjvvB-TjHWv4BRTzi9Y-XEMQrSp2CqwKzFEJ2eYC-08acRXeW9jE9HizT2yl857xCw49rP4bV3GcCEVATigjg==)
29. [carthook.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHmZtl0nBSZc4pdshHbJsPTIIFTg7e_lOm4wil4BbdgNR6OC_LjJ-EgDYPY7Hr8YdW6ZP1RuKbUt3f4qDpJuDo4TDuQ1rQWx_UVlxhJ1gSFk7s_bl2iWGR0_Iz1AJ6fQ6au5KW4tx-stkwTMH0o7yfjJTUFMwR_ZXUsU4w2cPNt4rYV6svw6ULvtTVIvvzlQ0ZiWZHQk6bwN9OhUnGad53oVLw=)
30. [cirklestudio.co](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEEMg8tJTWHKfKGHljUZ4TrXI12Jb7bR5a-_fuQ1sOliJcFE0QOXc3wNgAhH6Ao8h9ds1IBkdyjErg6eiO99PAA968sJXbZw7mpGfRzik75nmK7jCHGJ2ghLRg5RzXPfl0D5GQah44fjnCpPjD00ZIsk1r1)
31. [medium.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEnTA33X0HDQIBBvfRZYTkesJK9iObq-EM05ozihnmw13NNrN999CEDVSvQZwXb2S6S-eWVajWpB5wfcRuwCwxOZ0xIqdxkPLLZMd4rGuQvIZybrNq9P6BZ5-rkX7a2tGFp7DRI0ZozpPM_XB-xzmv3SZt_0uEMAKvYHR-o5BIdivmmH2bX5R-aAijn0rIwZs-fGdoCo0Mhsg1OBdIh7GsUNaFbgDfVYR-cNR0zo1ISd147Ua1UUCAePTlf69oHkt4SKvhmm5sxgSZy8XXLrwUoS_OB4jn-TPelcZ62)
32. [opensend.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQERHTm8kJCuhnQFTj94APqbp1pu5fOEa1D6YMO7AU5DGV837ZvfykT_WOOYi3jX_V5V5XPt3yOn2jJuzVGAVle5wcGbpviM7SHEFtqjM_C328g4HgkR6vpj3BvdkDaGUc6YVbxStMpgxlXc3zAS4qwdY_EYN-_ZuQbVwVEsupwPOBvDodU=)
33. [getrecast.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFNbT2FlUz6fC8XYwTJNeZRsTJsoLYjLaKxbv9HlTM5vB-SgJaqVNrIao7_iEX8SGcEDF5xxES-0CHikXAwdq0FKneLJoabecTcx0AKBwUCcTvfqexd0akdLhUty2D5HG4=)
34. [analyticalalley.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFCBZJAFkGlLoqnibNQXA4PBW0MIpEqUXa4QUyrtYErTzaukIKKlR5A_zoTk2q73NLgiutzcqfCQXZTFtf-hRcFLhd4yNs6flfQYSFmtgQus5pMBIZesFex0SNeiapYeeYEyfWBAd-_zqzuROt13M9U41SmazVCT2D0_hpa42NunzpGwJ3Xy04=)
35. [graas.ai](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFQC_Nu2x-LF_nHeLdZeTkxcAnF_Qbfcc070v83XiJtz5CyutfbxJdVBkmpMWH3QoB2iimy1vfl57tCRHziv98PwCnx3btYJwixaA0O2ld2f-jVUn5mv72jHanR58jXAgieuOIdC56BnRr133-psJXExlyae7Jc-6t3rg==)
36. [emerald.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFwfKDm1g5D9Wl8ijblVWWYT6KiHVwdilr87hD3I6wEh9sCjINwb1KL5-UZHlHN2opEKPpRKwbX20jeljN1n-3PK-JFJHEeviVlXiEsdg96ETZanapzgPzylLhUJlh21PlZCce-Eqri_XoEJi76jxmcHstE3HkpHh9I1Er99H2H2TZQF37AoDGvufeHKmpzHsnc0jMrCrfX9XI=)
37. [mailchimp.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGmjQpMvRheKcbSBmaTOzxTtd60r5jbyDmbP232bWv-qTN_GEFUmEAg5xrat3mRccos3yc_juzyu0PZErljRJUo5pNJoWJ2-hEPVTSLCUexEZH3f98ACz8IHoQazTNefo9E0OfXZitshmEe)
38. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFQAb-S_WXBNBY_qmX7iQncKejMOj8x-5yBhcCpGXfetvxJTPOU4devBe1PeiNhxBeCxfR5wff3mIG-j6FrZZWWjbYLSMc2S_kl2C571UNkGDrdBCpTnpwHAykVN7L6rx3iiIPbuuhp)
39. [usp-pl.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGfnfMalmN1BlbRdrEJ086CmKHtUHKK-IVFbLUk1tlFS4ZREYC5PRwD7St5MdMMsZNCKu7AN1Gpd0nv2XSwcfXxpl5RAWXN-fjWUgnV_3_9ddk4MoA_EfIjthR8XuQSNgSPH64NOWboTubRbg798XqmEkfIhKSv)
40. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGh7akIO0GkKp41Wp9_ZYIll4u3RDrV-JGAb1VaxFRTpu9hXm76N-jJkLBr7EY1cX-JqGU-jewE2GFDHD2l46TOeigz8r5DuuqA_M86haBGk9rxeS9UPqGrPjEqtQ3BTAUfoMMskrvu5VD40fD0bsMIiwFFFAIpp80yrB4XkaSupVRgAmn2GA67yYVM9TiSJ4SNhbUhGGdKR5MSXYXpy3qDmCVJv4MSf2Le6DRyPQNnS9A=)
41. [joebm.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEWzl8b_5VJyUF51RmqoOMaFkKh5rECtzeW6RaL4O0V1ik2BgoN9tWTIM3_qlIHDwMI2VzGSqqbzbuTmG5Ugqzwwg14kD6nv_eGxyrmnsjttiuSE77ROoEfDh91wSsiRfwGpZJkEw==)
42. [na-businesspress.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGfrM2eqceqzVQOWo-C0RZBfrOfXXvAP45RLnh72UXaN7m-8Hgx8O4D9CnrsQXHpzsw3GMOPQtOGlJxz9S6AHz3eg_45dYA8qMldWR1n2UG7Isa1prY38r_-fhjYx04oTdN2AH0yNRrUB6nbkTIcBcIT8sVhiRps8j-GZw=)
43. [csusb.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHdg5v6iT22SRhEVgTSues6CtP50raVW6Shr1Juoe0Tnpfcjidu6bRTsUsTmkvzbmD2cyfav7cZ7JQ2uWqCw2A-xKLtFIhAqpn2ZZOanJNos-S62ebWahOjGXlbR_K16QkfMrtliykBp6IkQlPb8pv25h0miQbLH-Cv3ObbzHZzfP3JajuKaZw=)
44. [wesupplylabs.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE_bWI9C78jfyWERHPmqIxT4S38D-gkp_Frfa6lX3cTYvDGn4bluay_3KGmtsmNNViaXk-bBQrlleJ87nztfbMZSmp4WpflVnOr0T3OdMZ1b0VN0b0XRRe-cTEG1p1PaKKaynfEnMTZZmCNUjUBbzcLdChqmLVaEvakzdHowKdCM-R1GrjWRV6ewkYhe-uHVWNaza4=)
45. [userpilot.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEHEvC6VvO8fA7g00rcbz_OOWVm2lI7J_Ev8m8fuIPuMw7ewQLteupinH5wMl-kFi_3kiAyHiPrRNZ59CHHN_rQG3c_PT_jbTThrDbN3wJvJZd_88ugv_ocdey_CvE0i3hKPZjten45lNk=)
46. [fintechbrainfood.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH424K1HmYLq1Cc2iCVIi0swobJbqO43GWp_7clpF-Y6On9Ci3E6QcTQYeZDErFzCoUzEvXeRcgkVSa9lXjFZUjfHlZyhEThNaog5Yta2CJHmQCV87ZlQUelbEkkxQS7uqWMco0)
47. [ecommercenews.asia](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGUTjAXSo4kw5ELcW70PeHEi5cSFMwAU0u8AtP2PaS8lDMX29fKqETaKc_LXlZdRAeqYJIg8JWIRW7unPbimkjvDE18_vyaKr2kB7K9_02hLwIHmWXjPRYgzVjgs_KIqjgsnDNXXW5cBDhhGqD6eXAgq1Yw5AMt_OW3fuQDeXKQMPJgMGA=)
48. [consumer150.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHW3fdfT7My73uN76Y1Am1HOihZH24sCeVT5bULFnNBk-yjRKAbz-9c9RLCB_i1E37Hx15KBWTKLiJ-uuvRBVbc9hOS9lxQH0102--PHQGV48qHK9yZXCUFKA-C3QB2CB2Rb5wZXbvemLrwAs7uxwSble_fDhhKiLVEar-lltIWQKwzQPFW35oI6Q==)
49. [beuc.eu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGZVjwDOLM_HB3LZwsswPq7499Ly5RDO2ZwfyjgOpw6GZMWH8ayyNllF_f4qwf0kX1ob1HKeFxtXKt6EdEOWOuSFUljxVNaTl-Ar7i3i4wW4YpBmo9sfwnONfUX4zxA5F_MIHn-VTeMfpL0HPIWURa5dj3E020Vq8euM7lvzheMQUBN73E8XmpSvR36_s0BInI0SD7SV6AL_NDUZGBbEuJSCvwD6yuCnzHdvwaD-lg=)
50. [andrewleigh.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEXl-FuIV9ulgswuqJp9K8HjfpH0-JfVJfQt9rRK3FvxQKCEspYOkpJpGTamMnS6jnRKEXqN6wQ1GTQT5KaXScVgIwfc1gW9imGizVK7S_UOwq_ZMNz4P5iQQHsXYAyoOT_snnjrPTNztMkDC4y78sZRBOeS5vGogGsFCNcBhmugLNOMt_kCuCHwXKgJwfXH-D7mw==)
51. [fastcompany.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFY1JVlZEDDoBUdWDVABaWGlW3bkDfh0l3ZLTI-JjTV-mFSJNm9628oKrkB31tWQbfYlbA6hAwurPlqiDe8-2WR_nVRsGx0ppyP2NlMagbOCEQNxn-Jho5kvk_tZHCPG0hKzo1mozFKZ_kOg8KRLreNrncoCikGuf16QA==)
52. [cambridge.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEuNqsGLS6cHN6o2pVoi6wPL9FYdmY9pFWwcRBfuqnCIMYYZ1BpNJs3cfS1UMJNp8GKyFiabCpBPVvfoiglOIBJilUk_Uk9Uq7uSmw8CCIanmn7lL2Djwv1BOUMmPTupcNnLUs_l0jyx2qj2vr8hur5cZxTOcGqZVWS6i-3LsiuRW98Pk6IaAv4XpqiwBLQeMRhLfVBRGW-1h59OXqFPl9UisQEdslgpjGdCb4xG7c=)
53. [blacklistalliance.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHA1sFGRFQsP4skenBHpVlDmefxUIyg1WV05ctzmNzM6-63ZSB5IUGp_bR3juYH78JQhBaxsdZiON00Tvr4wKC3asv1w0bCtzDpvMjXMVBU4bcrOn_b_6uzdmxkYdr7ys64pdCXzmbIjK5h4i56eFR7E7xtuLwvt-DhdbpkMirO59x4OHmrb7ZYcX0XeL3ACtuVIlY=)
54. [ftc.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF45Ixoi-CdcGIckZDm9D3OBwWCaMy5bswA0xBeynqDPpwpQiZ-GMmyJrAt5i48eIE2MUFwormLJ6JJcNPIKa3RDxz3sN-_7JCvlLJdrHVoiO5fwuM0eUkSIYPbz7zL7njQ2io5luFXcJwSQ24DluA_yvWzWOviqQCae9gvvMA9h6ThzQ==)
55. [regulations.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQENJ8L3cVwziWVXtE4GH9DkSY44BkAreJ8xuv5cYsoCIpyJCvhoNvFbC9xIJzLWfuDO6DGBfGjpOeRFbq75V3WcRmtsEyC3_RfmbxEbWOGprFZ2kTEGcdTl5kT-V7RnIbSrK3HiF8yEmqljbMZj)
56. [theracetothebottom.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHVGHfSWLk3-zlnkZnrj8M2XejJTzrdeZMih5bEZ3P58ik2ecFXDDkvzDAPsQnalagKHv26cIEvfM6XbsSv8HXPyP50H5YVa3dzQ8hHxqONWXgZEMe_LJben3ivHBW6o6m7RNsDZrj93qbmtxamYjnlA9q9zModZsA5lVKwP9ug1sUHwUe1LqwtdA-lugP_J_21WjKO_v-9yWxM7fxUss0qws4J5o-XCNfp)
57. [claimdepot.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE7nlTWAdJHpBJdajtf3Ejx5LLGPgOqcW7BVetP-ILhawUIDWW2779m3rdewzncU-EUOJvFweTgRWgshdk034bbKfQ0Fx_yTyBrbYzLi53iLOwfMVKSYY4RlR0VjlN223SnzfZmBi5h6BnpJEqfZHhKuX39eThc4fwvewTudA==)
58. [medium.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEN19RHouh-5O7xc44pmalQpANbrdhnfUmECDdz538KAlYIfifdxgE5MhexG2zxDVifdRKIxebUy-sd3H7OZFYoNwIxq_cnlEiDyw9i_17ab1o0m0YjapHNx8PRxtj6nWXqaN5nacvii99j1Cod3A9CObhyxFqQD8Um6NiDBkgTEwSgAw2Z7OzBGGsEQKnTirXJwEAVUMkefYdQY6TztnT8DoU3uEufoXdYo7UaprjXw3vV9CGtPRoSXUhViw==)
59. [stratechery.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF1jja8-trLn4Q5LVu6M0NKIOXYaQvH9xPa3f8cRVRSc02a-iYBPqrzeWFhZeq2_dOkDunvJvW8hcfvVvV0xLDZDdqQdVTU9bwh_ufQmMkpMGmFL37sQFBsvhPuKIu8xmD87JHEXRQSxcKiu-b6g9Y=)
60. [proskauer.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFuMcsethQWvihMsfgNvHZAeoSz_Gf0LXc2cx3LUlaAfbRt-PN2jP6g3EHA0UKajlk8u4_jqN7UFSkDtPC-pNBDdZ5JO_Pv2IRTltjJkNWYT08t7P2G6gn3s2cVDjjgOpC-8u3bJaMi3tnhKCTd-gkv0vM1zLQqGajuK8Nhfn-5RWEbas838ZI=)
61. [federalregister.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH-tdRe_U_uew6e71lRP44GUOONeydELHvt0qz2Vk8fI755U4-2-QCwO3WHg4PvLoiA4jEmat81YHDttQhGg4yS5SWHiS7nxEalDQHo29HyWEE_6sBdTlES3CXZ0QXWuZ65AS2J4bFBbanBZCDOnDn9E6Z0QWlHB_8CGI87724AVxUUn6AgcprThbc=)
62. [federalregister.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEeNpemuTXRe-iws2JgZS6SAZya5TvEY-dNKfBvsyd9j0JOb45CrUQnftEsfb3pOmFC3KiIRDjXjf-l04wMfciybHZtW6es1eQ5A_MZrUUoKkzk2YcMm7Q9NAckxsN1eiigwpUlnvvujLQmGxL2e91_NrJ74pqmIjf4E23Kh0NBGqsuYdH59e_GtG4=)
63. [grsm.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEw4URtEtntuVdxLWj1vemVBNCmm9-R7KOTzboQmHe-7SJQMHT7dKUSP6LqtyxzLTAOmEZ58p4U42peqYeyLHoQueOx8VQI9_dZE5Px8xDfx6vIUQe7NdKEjmUiH9h3URNgP61RO-P6pGq9AcOyoCMCoI83CuaeH7AdmA==)
64. [federalregister.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFK0rIfBC4iq4-8TuEkC3lK5SWPrLapxcFFLLwlT5JyEeQBR1zi15YDWtEfNNVsIkuRkuq2LRhrKQ1HuY2GG0o8kiXuZNM0xbdaWG1ZoAblROLnsglPprvu6G60rDJqSkKWXWbkXIY5isNz-FUpe8UxGGQsqx7XZMzNL1u4vISJCwuZJnDJ64S6Vdrxge15GCSAgZrWaW-w0kja)
65. [cookie-script.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHIDHp79k5bbuvy8FOszCPNMjNJ-1oJOqYlZ1Ks8b25uP1nENOdjQHGJXiM307sD6kBISruEAXVYChi1sjLYwaMPEZ0AiLHBJmBBhJH2lB4fo7PeU-zD96ZW8OaiaUKdFnmhm1r6ZnlRT5btHxX9mAJL1Kj-MeRgoIP4aGsc5be7G333GKMWG2MmXTV5t9VrS0=)
66. [usercentrics.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHHmJ47NLSoM7Mlazx4uN6ZWzMgNgWo_n96r-PetL_YgyObXuduhvYqnXLvKNtJ89_i3EonfJYHhpTIHdwcPznDDFVQNnVNH9cK76RvMpVrB4ckMidHBhTluHplkk2bAu65Tiyy_3y6reB6Yvehyb4vRj7d_mOJ5Wk=)
67. [kemitchell.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHR5BukdAzhkN367XdBzuc165diRjd9qJziOesavW2f6rmNtb28rwbYaBDQPvnJtA0xvH9jqLYdwM9a8d7Ig8WGr2KOSw7kQ7Gqe3BPObJliMI=)
68. [europa.eu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGG8y7-ahL0s5AbsC0Bejl-CAd6fEcbrdzuny1Lxuay8ixqlD7dRkOCX0598bQvLgRuMk32rjhX8Uo6lTE1LUArZgGZsHNEnEjLdvht_kNoRrDSVxWut1kFXKmCJqlK2WnxmVYmdl3wjS6FZ9iD0uYcy1KoP4PE5ir9bgDg)
69. [europa.eu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHV4g9AEo3J7u5GDrVf6CPbmZVIcA59KcWL6PcgRabidOpeuF9dyI9xEkcNq_EX6_lcDa9_UDJv9u1olvcUQ1iyUGiSMpPn_6Gz1V1IX8E2UkExhXhWjvRnag8qAzcecvIiplHy_SCfT5EwVhyTKLEQbvG71bOLTPACVo11HCaxeB-dvBCSW2_DeLGy5naoZC4vCKUvzkaDQKjgtbT-2POi)