{
  "version": 3,
  "sources": ["ssg:https://framerusercontent.com/modules/uhDLnn3vmoylRsFGVgj7/6j3q5oCCU1MINilyybp4/G1hqHe3ri.js"],
  "sourcesContent": ["import{jsx as e,jsxs as t}from\"react/jsx-runtime\";import{addPropertyControls as n,ControlType as a}from\"framer\";import*as i from\"react\";let o=\"P5kwY8h84\",s=\"aY_JUQrqJ\",r=\"nKetDogW4\",c=\"VSN25PZQF\",h=\"pxwbxAdZL\",l=(e,t)=>{if(e&&\"object\"==typeof e)return{...e,alt:t};},d=[{index:0,id:\"JPvVmgek5\",[o]:\" The Power of Data-Driven Marketing Strategies\",[s]:\"the-power-of-data-driven-marketing-strategies\",[r]:\"2024-01-08T00:00:00.000Z\",[c]:l({src:\"https://framerusercontent.com/images/XFuipe6A0fTO2ofv56MZfxqWI.gif\"},\"\"),[h]:/*#__PURE__*/t(i.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"In today's fast-paced digital world, the ability to make informed decisions is more crucial than ever for marketing success. Data-driven marketing strategies leverage the vast amounts of data generated by consumer interactions to understand preferences, behaviors, and trends. This approach enables businesses to craft highly targeted and personalized marketing campaigns, significantly enhancing customer engagement and conversion rates.\"}),/*#__PURE__*/e(\"p\",{children:\"Understanding Consumer Behavior through Data\"}),/*#__PURE__*/e(\"p\",{children:\"The cornerstone of data-driven marketing is the deep analysis of consumer data. By examining various metrics such as purchase history, online browsing patterns, and social media interactions, marketers can gain insights into what consumers want and how they prefer to be engaged. Advanced analytical tools and technologies such as artificial intelligence (AI) and machine learning (ML) play a pivotal role in deciphering this data, providing actionable insights that can inform strategic decisions.\"}),/*#__PURE__*/e(\"p\",{children:\"Implementing Data-Driven Campaigns\"}),/*#__PURE__*/e(\"p\",{children:\"To effectively implement data-driven marketing strategies, businesses must integrate analytical tools into their marketing processes. This involves collecting data from multiple sources, analyzing it for meaningful patterns, and applying the insights to tailor marketing messages and offers. Key steps include defining clear objectives, selecting the right analytics tools, and continuously testing and refining campaigns based on data feedback.\"}),/*#__PURE__*/e(\"p\",{children:\"Real-World Success Stories\"}),/*#__PURE__*/e(\"p\",{children:\"The proof of the efficacy of data-driven marketing lies in the success stories of businesses that have embraced this approach. Companies across various industries have reported significant improvements in campaign performance, customer engagement, and ROI after integrating data analytics into their marketing strategies. These case studies serve as powerful testimonials to the transformative potential of data-driven marketing.\"}),/*#__PURE__*/e(\"p\",{children:\"Conclusion\"}),/*#__PURE__*/e(\"p\",{children:\"Data-driven marketing represents a paradigm shift in how businesses approach customer engagement and campaign management. By harnessing the power of data, companies can make more informed decisions, personalize customer experiences, and achieve superior marketing outcomes. As the digital landscape continues to evolve, the importance of data-driven strategies will only grow, making it imperative for businesses to adapt and embrace this data-centric approach to marketing.\"})]})},{index:1,id:\"XY7DvZsU9\",[o]:\"Leveraging Big Data for Personalized Marketing\",[s]:\"leveraging-big-data-for-personalized-marketing\",[r]:\"2024-03-15T00:00:00.000Z\",[c]:l({src:\"https://framerusercontent.com/images/FTRJNSZkcW7CydfoOo2iWZqi7c.jpg?scale-down-to=4096\",srcSet:\"https://framerusercontent.com/images/FTRJNSZkcW7CydfoOo2iWZqi7c.jpg?scale-down-to=512 512w, https://framerusercontent.com/images/FTRJNSZkcW7CydfoOo2iWZqi7c.jpg?scale-down-to=1024 1024w, https://framerusercontent.com/images/FTRJNSZkcW7CydfoOo2iWZqi7c.jpg?scale-down-to=2048 2048w, https://framerusercontent.com/images/FTRJNSZkcW7CydfoOo2iWZqi7c.jpg?scale-down-to=4096 4096w, https://framerusercontent.com/images/FTRJNSZkcW7CydfoOo2iWZqi7c.jpg 5334w\"},\"Teal Flower\"),[h]:/*#__PURE__*/t(i.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Big data has revolutionized the way businesses approach marketing, allowing for an unprecedented level of personalization. This evolution is driven by the immense volumes of data generated by online interactions, purchases, and social media engagement. The core of leveraging big data for personalized marketing lies in the ability to analyze and interpret this data to understand consumer behaviors, preferences, and trends.\"}),/*#__PURE__*/e(\"h3\",{children:\"Technological Advancements\"}),/*#__PURE__*/e(\"p\",{children:\"The advent of sophisticated data analytics tools and machine learning algorithms has been pivotal. These technologies enable marketers to sift through vast datasets to identify patterns and insights that were previously indiscernible. For instance, predictive analytics can forecast future buying behaviors based on past data, allowing companies to tailor their marketing messages to individual consumers. Real-time analytics also play a crucial role, offering the ability to adjust marketing strategies instantaneously based on current consumer interactions and engagements.\"}),/*#__PURE__*/e(\"h3\",{children:\"Personalization at Scale\"}),/*#__PURE__*/e(\"p\",{children:\"One of the most significant benefits of big data in marketing is the ability to personalize at scale. Companies can now deliver customized content, recommendations, and offers to millions of individual customers, enhancing the customer experience and increasing engagement rates. This level of personalization was once the domain of small, niche businesses but is now accessible to large corporations, thanks to big data.\"}),/*#__PURE__*/e(\"h3\",{children:\"Challenges in Managing Big Data\"}),/*#__PURE__*/e(\"p\",{children:\"However, leveraging big data for personalized marketing is not without its challenges. Data privacy and security are major concerns, as businesses must navigate an increasingly complex regulatory landscape to ensure they protect consumer information. The sheer volume and variety of data can also be overwhelming, requiring significant resources to collect, store, and analyze effectively. Moreover, there's the challenge of ensuring the accuracy and relevance of the data used to avoid misguided marketing efforts that can lead to customer alienation.\"}),/*#__PURE__*/e(\"h3\",{children:\"Ethical Considerations\"}),/*#__PURE__*/e(\"p\",{children:\"Ethical considerations also come into play when discussing personalized marketing using big data. The fine line between personalization and intrusion is a topic of ongoing debate. Marketers must balance the benefits of personalized marketing with the need to respect consumer privacy and avoid overstepping boundaries.\"}),/*#__PURE__*/e(\"h3\",{children:\"The Future of Personalized Marketing\"}),/*#__PURE__*/e(\"p\",{children:\"Looking ahead, the potential for even more advanced personalized marketing is immense. Developments in artificial intelligence and machine learning could lead to even more sophisticated data analysis techniques, enabling marketers to understand consumer needs and preferences with greater precision. The integration of emerging technologies like augmented reality and the Internet of Things (IoT) could further enhance personalized marketing efforts, offering new and innovative ways to engage consumers.\"}),/*#__PURE__*/e(\"p\",{children:\"In conclusion, big data has become the backbone of personalized marketing, offering businesses the tools to understand and engage their customers in more meaningful ways. While challenges remain, particularly in managing and securing vast datasets, the potential benefits are undeniable. As technology continues to evolve, the future of personalized marketing looks set to become even more customized, offering exciting opportunities for businesses willing to invest in big data analytics.\"})]})},{index:2,id:\"aSQU0_I40\",[o]:\"How Can Designers Prepare for the Future?\",[s]:\"how-can-designers-prepare-for-the-future\",[r]:\"2022-02-28T00:00:00.000Z\",[c]:l({src:\"https://framerusercontent.com/images/D1psMBgSshPNOS062Y4228Wl46w.gif\"},\"\"),[h]:/*#__PURE__*/t(i.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Last month, I had the chance to attend CSS Day in Amsterdam, a two day event split between a \u201CUI day\u201D focusing on the intersection of design and development and a \u201CCSS day\u201D, with speakers who covered more in-depth, technical CSS subjects. The talks were as diverse as the background of the speakers themselves, but there was one common thread: In this era of rapid change, are we, as product people, equipped to design for automation, machine learning, and AI?\"}),/*#__PURE__*/e(\"h2\",{children:\"What does automation mean for designers?\"}),/*#__PURE__*/e(\"p\",{children:\"It's hard to work on a product team that hasn\u2019t automated some part of their workflow in the name of productivity. If machines can take care of the repeatable tasks and heavy lifting, designers can focus on doing more meaningful work. But how does this affect the way we use the work being created by machines?\"}),/*#__PURE__*/e(\"p\",{children:\"Josh Clark, founder of design studio Big Medium, provoked the audience with this very question during his talk, \u2018A.I. is your New Design Material\u2019. Some of the most impressive advancements in recent technology are things like facial recognition, predictive text, and image search, all powered by machine learning. But it's important to remember\u2014all of these technologies are still built on code. The upside is less room for error. No real emotions, expectations, or feelings get in the way of the job it was designed to do.\"}),/*#__PURE__*/e(\"p\",{children:\"Yet, as humans, we assume that when facial recognition fails, the whole process is inherently flawed. But was it really?\"}),/*#__PURE__*/e(\"p\",{children:\"According to Josh, that is the most fundamental thing to understand when it comes to machines. Not meeting our human expectations, doesn\u2019t automatically make the technology itself a failure. These things were, by definition, built on logic, which begs the question: Can a robot's solution actually be wrong?\"}),/*#__PURE__*/e(\"p\",{children:\"The point of introducing machine learning into our products was never to have them do all the work. Instead, algorithms and logic-based solutions ought only provide humans with better insight so as to empower us to arrive at better solutions, faster.\"}),/*#__PURE__*/e(\"p\",{children:\"This fundamental understanding our users that really helps us make better products. This might be a simple example, but if a computer can figure out how to walk on it's own, maybe it's time to start investigating why and how these solutions were formed.\"}),/*#__PURE__*/e(\"h2\",{children:\"How do we design for the unknown future?\"}),/*#__PURE__*/e(\"p\",{children:\"Jared Spool, Co-Founder of UIE asks, \u201CWhat was the most important thing you learned yesterday, and how will it impact what you do in the future?\u201D\"}),/*#__PURE__*/e(\"p\",{children:\"As designers and researchers, we essentially always need to think about how we design products for the future, even as we\u2019re meeting the demands of present day design. A tall order, especially when things move as fast as they have been over the last decade.\"}),/*#__PURE__*/e(\"p\",{children:\"To start, Jared advocates for looking back at the ways in which our design processes have already changed.\"}),/*#__PURE__*/e(\"p\",{children:\"Remember when UX/UI wasn't a priority for many companies? As a consultant during a time when the Internet had yet to hit mass market appeal, Jared was able to steer many companies into a mindset that considered the user experience of a product.\"}),/*#__PURE__*/e(\"p\",{children:'But this also lets us gain input into how UX and UI has looked over the years, which might give us a better idea of what these concepts will look like moving forward. Jared describes a term called \"The UX Tipping Point\", with great actionable steps on how to get there.'}),/*#__PURE__*/e(\"p\",{children:\"In the past, designers had to fight for a seat at the table. If today you\u2019re not starting from a place of advocating for user experience (like they were 10 years ago), they\u2019re likely not starting at that tipping point. As a result, designers still have to ensure that the role of UX matures within the company, as well as the understanding of what makes UX important. When an organization hits the last stage, and fully embraces UX design from everything the company does, they fully hit The UX Tipping Point.\"}),/*#__PURE__*/e(\"h2\",{children:\"Are we designing for users or ourselves?\"}),/*#__PURE__*/e(\"p\",{children:\"People don't always know what they want, even if they think the do. As Joe Leech, a UX psychologist says, \\\"People want more choices, but can't deal with them.\u201D\"}),/*#__PURE__*/e(\"p\",{children:\"So how do we design for our users, if our users aren\u2019t always telling us the truth? This is one of the most important questions, and something that extensive UX research helps us accomplish.\"}),/*#__PURE__*/e(\"p\",{children:\"Back in the 2000s, psychologists Sheena Iyengar and Mark Lepper ran a study regarding consumer choices. They went to a local supermarket, and instructed the store to only sell 6 varieties of jam one week, followed by 30 varieties the following week.\"}),/*#__PURE__*/e(\"p\",{children:\"They ran a study on how much jam was sold, and to everyone's surprise, more jam was sold on the week with only 6 choices. But interestingly enough, when the consumers were asked which week they preferred more, they responded with the week that had 30 choices.\"}),/*#__PURE__*/e(\"p\",{children:\"Using this analogy, Joe makes a point that is hard to argue with, \u201CA designer who doesn't understand psychology is going to be more successful than an architect who doesn't understand physics\\\".\"}),/*#__PURE__*/e(\"p\",{children:\"User research, and a wide variety of it, helps teams get as close as possible to the root of a user\u2019s needs, over their wants. Studying responses on a larger scale is more work, but it helps form the foundation for true UX.\"})]})},{index:3,id:\"MIWkCvFWP\",[o]:\"Building a Navigation Component with Variables\",[s]:\"building-a-navigation-component\",[r]:\"2022-02-06T00:00:00.000Z\",[c]:l({src:\"https://framerusercontent.com/images/XFuipe6A0fTO2ofv56MZfxqWI.gif\"},\"\"),[h]:/*#__PURE__*/t(i.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Navigation is key within any digital interface. Smart Components enable us to create custom interactive navigation components that work perfectly with the rest of your prototype.In this guide, we will cover the concepts of nesting components, adding events to elements in a component using Event Variables, and passing these through your components. One of the main benefits of using nested components is that it provides full control over its states, such as unique hover states of elements within another component.\"}),/*#__PURE__*/e(\"h2\",{children:\"Starting at the atomic level\"}),/*#__PURE__*/e(\"p\",{children:\"Framer allows you to create fully interactive and animated components, and even allows you to nest components within other components. We\u2019re building a navigation bar component for a website that will contain two different kinds of nested components, with their own unique interactions. Our project will contain a Navigation bar that contains various nested components, namely five Nav items and one Shopping cart component. The design of our nested components, the nav list item and the shopping cart, will impact how we design our navigation bar. For this reason, an optimal workflow includes starting with the 'deepest' nested component and building up from there.\"}),/*#__PURE__*/e(\"h2\",{children:\"Nesting components\"}),/*#__PURE__*/e(\"p\",{children:\" Once we have our two components ready, we can start creating the component in which we will nest these. Draw your navigation bar, select it on the canvas and click the Component tool in the Toolbar. To nest a different component in our new component, just drag any other component to the Component Canvas and place it within your designed navigation bar.\"}),/*#__PURE__*/e(\"h2\",{children:\"Triggering interactions from the navigation bar\"}),/*#__PURE__*/e(\"p\",{children:\" Back on the main canvas, we\u2019d like to be able to tap 'Clothing' and navigate to an entire new Screen. If you\u2019d connect the component using the Prototyping Connector to a new screen, we could set up an Interaction. However, this would be triggered if we tap anywhere within our component. This isn\u2019t what we want to do, as we want to trigger this transition only from a specific element. This is where Event Variables come in, which are special types of Variables not attached to properties (like opacity or fill) but instead to events.\"})]})},{index:4,id:\"cw7uZLHht\",[o]:\"Ethical Considerations in Data-Driven Marketing\",[s]:\"ethical-considerations-in-data-driven-marketing\",[r]:\"2024-01-12T00:00:00.000Z\",[c]:l({src:\"https://framerusercontent.com/images/NKj5ZPxQZyPYko8kAr6WriBo7o.gif\"},\"\"),[h]:/*#__PURE__*/t(i.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"In the digital age, data-driven marketing has become a cornerstone for businesses seeking to optimize their marketing strategies and enhance customer engagement. However, as companies increasingly rely on consumer data to target potential customers, ethical considerations have come to the forefront. This article delves into the ethical implications of using consumer data in marketing, highlighting the paramount importance of data privacy, the necessity for transparency in data collection and use, and how companies can foster consumer trust through ethical practices.\"}),/*#__PURE__*/e(\"h3\",{children:\"The Primacy of Data Privacy\"}),/*#__PURE__*/e(\"p\",{children:\"Data privacy is at the heart of ethical data-driven marketing. Consumers are becoming more aware and concerned about how their personal information is collected, stored, and used. The ethical handling of this data is not just a legal requirement in many jurisdictions, thanks to regulations like the General Data Protection Regulation (GDPR) in the European Union and the California Consumer Privacy Act (CCPA) in the United States, but also a moral obligation. Companies must ensure that they are not only compliant with these laws but are also actively protecting consumer data from unauthorized access and breaches.\"}),/*#__PURE__*/e(\"h3\",{children:\"Transparency in Data Collection and Use\"}),/*#__PURE__*/e(\"p\",{children:'Transparency is another critical ethical consideration. Companies must clearly communicate with consumers about what data is being collected, how it is being used, and with whom it is being shared. This involves explicit consent from consumers before collecting their data, often referred to as \"opt-in\" policies. Transparency also extends to the algorithms and methodologies used in data analysis and decision-making, ensuring that consumers are aware of how their data is influencing the marketing messages they receive.'}),/*#__PURE__*/e(\"h3\",{children:\"Building Consumer Trust through Ethical Practices\"}),/*#__PURE__*/e(\"p\",{children:\"Trust is a crucial component of any business-consumer relationship and is particularly relevant in the context of data-driven marketing. Companies can build and maintain this trust by adhering to ethical practices such as implementing robust data security measures, respecting consumer preferences regarding data use, and engaging in responsible marketing practices that avoid manipulation and exploitation. Ethical practices also involve rectifying mistakes and breaches transparently and promptly when they occur.\"}),/*#__PURE__*/e(\"h3\",{children:\"Navigating the Ethical Landscape\"}),/*#__PURE__*/e(\"p\",{children:\"Navigating the ethical landscape of data-driven marketing requires a proactive approach. Companies must stay informed about evolving data protection laws and ethical standards, continually reassessing and updating their data practices accordingly. This also means investing in employee training and creating a culture that prioritizes ethical considerations in all aspects of business operations.\"}),/*#__PURE__*/e(\"h3\",{children:\"The Role of Accountability and Self-Regulation\"}),/*#__PURE__*/e(\"p\",{children:\"Beyond legal compliance, there is a growing call for accountability and self-regulation within the industry. Companies are encouraged to adopt ethical frameworks and codes of conduct that go above and beyond statutory requirements, demonstrating a commitment to ethical practices in their marketing strategies. These measures not only protect consumers but also serve to enhance the company's reputation and consumer loyalty in the long term.\"}),/*#__PURE__*/e(\"h3\",{children:\"Conclusion\"}),/*#__PURE__*/e(\"p\",{children:\"The ethical considerations in data-driven marketing are complex and multifaceted, requiring a delicate balance between leveraging data for business success and respecting consumer rights and privacy. By prioritizing data privacy, transparency, and trust, and by committing to ethical practices, companies can navigate the challenges of data-driven marketing while fostering a positive and sustainable relationship with their consumers. As technology and data capabilities continue to evolve, so too will the ethical frameworks that guide their use, underscoring the ongoing importance of ethical considerations in the dynamic landscape of data-driven marketing.\"})]})}];for(let e of d)Object.freeze(e);n(d,{P5kwY8h84:{defaultValue:\"\",title:\"Title\",type:a.String},aY_JUQrqJ:{title:\"Slug\",type:a.String},nKetDogW4:{defaultValue:\"\",title:\"Date\",type:a.Date},VSN25PZQF:{title:\"Image\",type:a.ResponsiveImage},pxwbxAdZL:{defaultValue:\"\",title:\"Content\",type:a.RichText}}),d.displayName=\"Blog\";export default d;export const enumToDisplayNameFunctions={};export const utils={async getSlugByRecordId(e,t){var n;return null===(n=d.find(t=>t.id===e))||void 0===n?void 0:n[s];},async getRecordIdBySlug(e,t){var n;return null===(n=d.find(t=>t[s]===e))||void 0===n?void 0:n.id;}};\nexport const __FramerMetadata__ = {\"exports\":{\"enumToDisplayNameFunctions\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"default\":{\"type\":\"data\",\"name\":\"data\",\"annotations\":{\"framerRecordIncludedLocalesKey\":\"includedLocales\",\"framerData\":\"\",\"framerContractVersion\":\"1\",\"framerRecordIdKey\":\"id\",\"framerRecordIndexKey\":\"index\",\"framerSlug\":\"aY_JUQrqJ\",\"framerCollectionId\":\"G1hqHe3ri\",\"framerCollectionUtils\":\"1\",\"framerEnumToDisplayNameUtils\":\"2\"}},\"utils\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"__FramerMetadata__\":{\"type\":\"variable\"}}}"],
  "mappings": "qEAAwI,IAAIA,EAAE,YAAYC,EAAE,YAAYC,EAAE,YAAYC,EAAE,YAAYC,EAAE,YAAYC,EAAE,CAACC,EAAEC,IAAI,CAAC,GAAGD,GAAa,OAAOA,GAAjB,SAAmB,MAAM,CAAC,GAAGA,EAAE,IAAIC,CAAC,CAAE,EAAEC,EAAE,CAAC,CAAC,MAAM,EAAE,GAAG,YAAY,CAACR,CAAC,EAAE,iDAAiD,CAACC,CAAC,EAAE,gDAAgD,CAACC,CAAC,EAAE,2BAA2B,CAACC,CAAC,EAAEE,EAAE,CAAC,IAAI,oEAAoE,EAAE,EAAE,EAAE,CAACD,CAAC,EAAeK,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,wbAAwb,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8CAA8C,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ofAAof,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oCAAoC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+bAA+b,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4BAA4B,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+aAA+a,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,YAAY,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4dAA4d,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,EAAE,GAAG,YAAY,CAACX,CAAC,EAAE,iDAAiD,CAACC,CAAC,EAAE,iDAAiD,CAACC,CAAC,EAAE,2BAA2B,CAACC,CAAC,EAAEE,EAAE,CAAC,IAAI,yFAAyF,OAAO,icAAic,EAAE,aAAa,EAAE,CAACD,CAAC,EAAeK,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,2aAA2a,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,4BAA4B,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ikBAAikB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,0BAA0B,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uaAAua,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,iCAAiC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0iBAA0iB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,wBAAwB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gUAAgU,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,sCAAsC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0fAA0f,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2eAA2e,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,EAAE,GAAG,YAAY,CAACX,CAAC,EAAE,4CAA4C,CAACC,CAAC,EAAE,2CAA2C,CAACC,CAAC,EAAE,2BAA2B,CAACC,CAAC,EAAEE,EAAE,CAAC,IAAI,sEAAsE,EAAE,EAAE,EAAE,CAACD,CAAC,EAAeK,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,keAA8c,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,0CAA0C,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6TAAwT,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4hBAA6gB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0HAA0H,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0TAAqT,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4PAA4P,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+PAA+P,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,0CAA0C,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6JAAmJ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wQAAmQ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4GAA4G,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sPAAsP,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+QAA+Q,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ygBAA+f,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,0CAA0C,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sKAAkK,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qMAAgM,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2PAA2P,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qQAAqQ,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wMAAoM,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sOAAiO,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,EAAE,GAAG,YAAY,CAACX,CAAC,EAAE,iDAAiD,CAACC,CAAC,EAAE,kCAAkC,CAACC,CAAC,EAAE,2BAA2B,CAACC,CAAC,EAAEE,EAAE,CAAC,IAAI,oEAAoE,EAAE,EAAE,EAAE,CAACD,CAAC,EAAeK,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,ugBAAugB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,8BAA8B,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kqBAA6pB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,oBAAoB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qWAAqW,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,iDAAiD,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,yiBAA0hB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,EAAE,GAAG,YAAY,CAACX,CAAC,EAAE,kDAAkD,CAACC,CAAC,EAAE,kDAAkD,CAACC,CAAC,EAAE,2BAA2B,CAACC,CAAC,EAAEE,EAAE,CAAC,IAAI,qEAAqE,EAAE,EAAE,EAAE,CAACD,CAAC,EAAeK,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,8jBAA8jB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,6BAA6B,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4mBAA4mB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,yCAAyC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4gBAA4gB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,mDAAmD,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qgBAAqgB,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,kCAAkC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8YAA8Y,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,gDAAgD,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4bAA4b,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,YAAY,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,upBAAupB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,QAAQL,KAAKE,EAAE,OAAO,OAAOF,CAAC,EAAEM,EAAEJ,EAAE,CAAC,UAAU,CAAC,aAAa,GAAG,MAAM,QAAQ,KAAKK,EAAE,MAAM,EAAE,UAAU,CAAC,MAAM,OAAO,KAAKA,EAAE,MAAM,EAAE,UAAU,CAAC,aAAa,GAAG,MAAM,OAAO,KAAKA,EAAE,IAAI,EAAE,UAAU,CAAC,MAAM,QAAQ,KAAKA,EAAE,eAAe,EAAE,UAAU,CAAC,aAAa,GAAG,MAAM,UAAU,KAAKA,EAAE,QAAQ,CAAC,CAAC,EAAEL,EAAE,YAAY,OAAO,IAAOM,EAAQN,EAAeO,EAA2B,CAAC,EAAeC,EAAM,CAAC,MAAM,kBAAkBV,EAAEC,EAAE,CAAC,IAAIU,EAAE,OAAeA,EAAET,EAAE,KAAKD,GAAGA,EAAE,KAAKD,CAAC,KAA5B,MAAyCW,IAAT,OAAW,OAAOA,EAAEhB,CAAC,CAAE,EAAE,MAAM,kBAAkBK,EAAEC,EAAE,CAAC,IAAIU,EAAE,OAAeA,EAAET,EAAE,KAAKD,GAAGA,EAAEN,CAAC,IAAIK,CAAC,KAA5B,MAAyCW,IAAT,OAAW,OAAOA,EAAE,EAAG,CAAC,EAC7+qBC,EAAqB,CAAC,QAAU,CAAC,2BAA6B,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,QAAU,CAAC,KAAO,OAAO,KAAO,OAAO,YAAc,CAAC,+BAAiC,kBAAkB,WAAa,GAAG,sBAAwB,IAAI,kBAAoB,KAAK,qBAAuB,QAAQ,WAAa,YAAY,mBAAqB,YAAY,sBAAwB,IAAI,6BAA+B,GAAG,CAAC,EAAE,MAAQ,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,mBAAqB,CAAC,KAAO,UAAU,CAAC,CAAC",
  "names": ["o", "s", "r", "c", "h", "l", "e", "t", "d", "u", "x", "p", "addPropertyControls", "ControlType", "G1hqHe3ri_default", "enumToDisplayNameFunctions", "utils", "n", "__FramerMetadata__"]
}