Mapular
Placer.ai
Shareloc
Intelligence Node MAP Monitoring
MapBusinessOnline.com
MAPData
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socketify.py
Mapular Consumer Analytics Smarter Consumer Analytics, Location Strategy, and Geomarketing โ in One Unified Platform
The best product at the wrong location wonโt sell - thatโs why mapular Consumer Analytics helps retail and D2C brands make smarter, revenue-driven decisions about where to open stores, how to boost marketing ROI, and when to expand โ all powered by real-world location and consumer behavior data.
With mapular Consumer Analytics, you can:
Capture First-Party Demand
Connect real signals from your store locator, CRM, campaigns, and in-store activity โ to understand what your customers want, and where they want it.
Combine with Location Intelligence
Enrich your internal data with external sources like foot traffic, competitor locations, demographics, and regional trends โ to see the full picture.
Act on Real-World Insight
Spot underperforming stores, uncover demand hotspots, and predict ROI across locations, products, and channels.
Simulate and Predict with Digital Twin Modeling
Test store openings, product launches, and marketing campaigns before spending budget โ with a virtual twin of your real-world business.
See How Online Drives Offline
Track how store locator searches and digital engagement turn into foot traffic and in-store revenue โ closing the attribution gap between digital and physical.
Mapular socketify.pyMapular's answer
Mapular Consumer Analytics combines high-resolution geospatial data with real-time consumer behaviour insights, creating a digital twin of retail environments. Unlike traditional analytics tools, it integrates store locator data, mobility trends, demographics, and competitor locations into one intuitive platform, enabling brands to visualise, simulate, and optimise their retail strategy with precision.
Mapular's answer
Brands choose Mapular Consumer Analytics because it delivers actionable, hyperlocal insights without complex IT setups. Itโs plug-and-play, GDPR-compliant, and designed for fast decision-makingโhelping retailers identify high-potential locations, optimise expansion, and attribute in-store visits to online campaigns. Our modular pricing and full customisation make it accessible and scalable for businesses of any size.
Mapular's answer
Our primary audience includes retail strategists, expansion managers, marketing teams, and data analysts within consumer brands, retailers, and FMCG companies who want to leverage location intelligence to drive foot traffic, optimise store performance, and make data-driven growth decisions.
Mapular's answer
Mapular Consumer Analytics was created to solve a critical gap: brands lacked real-time, actionable location data to understand consumer movement and behaviour. Founded by experts in geospatial technology and retail analytics, Mapular empowers businesses to turn complex data into simple, strategic insights that fuel smarter retail growth.
Mapular's answer
Mapular integrates online and offline dataโfrom store locator searches to foot traffic and salesโinto a real-time, map-based dashboard, enabling smarter decisions around marketing, store performance, and expansion.
Mapular's answer
Our customers include leading global retailers and consumer brands across Europe and North America who rely on Mapular to optimise their store networks, marketing investments, and expansion strategies. Due to NDAs, specific names are available upon request.
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These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
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