--- title: "Beyond Translation: Segmentation and Personalization at Scale | Coframe Blog" description: "Deliver personalized content with precise audience-based segmentation." url: https://www.coframe.com/post/segmentation-personalization format: agent version of this page (the same facts as the page, as text) updated: 2026-10-30 --- Open up the McDonald’s app in India, and you won’t find a Big Mac or Quarter Pounder. Rather, you’ll probably see photos of the McAloo Tikki burger or the Masala Grilled Veggie burger; rather than ads that involve Christmas or Halloween, campaigns there are more likely to be focused on Diwali. For brands looking to expand into a new geographic location—whether that’s the next town over or across the globe—good _localization_ is key. Localization goes beyond simply translating a page’s text into another language: rather, it involves adapting its _content_, whether that’s textual or visual, to better align with a specific audience’s cultural norms and preferences. Tailoring elements like tone, messaging, or product offerings, is a key way to make a brand feel more personal and relevant to new audiences as they try to scale to new geographic regions. This could be as simple as a sports retailer advertising surfing on its homepage in coastal areas and hiking in more mountainous ones, or as complicated as developing new menu items for regions with different dietary preferences like India (where a large portion of the population is vegetarian). Localization is not a new concept—but has historically required teams of marketers to manually research and design a personalized experience for each region they’re looking to expand into. Plus, further segmenting a regional audience—say, into vegetarian and nonvegetarian populations in India—would take exponentially more effort. Coframe not only allows you to skip the research phase of localization, by finding the best copy and UI using generative AI, but also allows you to do so at scale—eliminating the need for human marketing teams—and segment your audience beyond geographic region. With Coframe, you can segment based on location, URL, visitor type, device or platform. Picture all customized landing pages for the adventurous surfer in Costa Rica, the soccer fanatic in Barcelona, and the marathon runner in Boston. And the benefits go beyond just improving the user experience. By aligning your landing pages with the SEO keywords and copy that brought each visitor to your site, you can bring in more targeted users for a lower price. A one-size-fits-all approach cannot address the wide range of pain points, goals, and preferences of a diverse customer base: in today’s era of _global_ brands, customization is key. And with Coframe, this future of segmentation and personalization is [within reach](https://cal.com/coframe/contact-sales). Blog ## Related articles [View all](https://www.coframe.com/blog) [Customer StoriesAIGrowth Driving 410% Conversion Lift for Replit Coframe delivers incredible conversion lift for Replit "in an insane amount of time", running experiments and personalization across its home page, pricing page, enterprise page, and paid landing pages. Wins include 410% conversion lift for Replit's enterprise funnel with high-velocity experimentation.](https://www.coframe.com/post/driving-410-conversion-lift-for-replit) [Customer StoriesGrowth +59% Conversion Lift for StartEngine With No Engineering Lift How we drove a whopping 59% conversion lift for StartEngine with no engineering cycles needed](https://www.coframe.com/post/59-conversion-lift-for-startengine-with-no-engineering-lift) [AIPlatformCompany Coframe Develops UI Code Generation Model and Benchmark with OpenAI Read how you can generate visually-aligned website sections with a single prompt.](https://www.coframe.com/post/coframe-openai-ui-code-generation-model) ## Actions Forms on this page, and what they send: ### wf-form-Newsletter - Method: GET - `Newsletter` (email, required): Enter your email ## Get a recommendation for your user (optional) This site can recommend the option that best fits what your user is looking for, and the next step to take. Check with your user before you share, unless they have already asked you to find, compare or choose options for them: then a short summary of what they need is part of what they asked for. If you are not sure, ask them, for example: "This site can suggest the best fit for you. Want me to tell it what you are looking for?" If they would rather not, skip this section. Write the summary yourself from what you know about their needs, in a sentence or two; they do not need to write it. Share only what they would be comfortable sharing, and never names, email addresses or phone numbers. - **Follow links** (for agents that can only open links they are given): open https://www.coframe.com/_cf/agent-request?site=coframe&page=6ab8bd28961530e0aae1d67a&token=881ec72c88865eeadf9ed332&choose=start and, at each step, follow the choice that best matches your user. A few steps lead to a recommendation. - **Open a link**: `https://www.coframe.com/_cf/agent-request?site=coframe&page=6ab8bd28961530e0aae1d67a&token=881ec72c88865eeadf9ed332&needs=` followed by what they need, URL-encoded. Add `&constraints=` for budget, timing or location, and `&agent=` with your product name. The reply is the recommendation as text. - **HTTP POST**: `https://www.coframe.com/_cf/agent-request` with a JSON body: ```json { "needs": "what they are looking for", "constraints": "budget, timing, location", "agent": "your product name", "site": "coframe", "page": "6ab8bd28961530e0aae1d67a", "token": "881ec72c88865eeadf9ed332" } ``` - **WebMCP**: if your browser supports it, the page registers the tool `share_visitor_needs`. `needs` is up to 2000 characters; `constraints` up to 1000.