The Most Powerful Customer Data is Connectivity Data

Analog Intelligence

Before Amazon took over the world, Sears in the 1890s had the mail-order catalog. While this print booklet was a long way from the all-knowing algorithm that predicts our every need, it established the definitive blueprint for data-driven commerce.  

In the late 19th century, when the West was still Wild, Richard Sears and Alvah Roebuck saw there was a better way to run their business than just mass-mailing out catalogs. They had a vast trove of meticulous receipts and customer data and realized that every single transaction was a vital piece of market intelligence. 

This data was stored in a massive office in Chicago, kept on millions of index cards, physical ledgers, and carbon-copy receipts, requiring complex sorting systems of copper pneumatic tubes, color-coded paper, and conveyor belts to maintain.  

There was a staggering 150 megabytes of customer data held in this facility, and its owners launched a massive analytical project to collate and cross-reference customer locations, purchase histories, and seasonal buying patterns. After thousands of workhours, signal started to emerge from noise, and then concrete patterns. Soon, Sears could even start to plot America’s demographic shifts in (relatively) real-time as populations moved westward with various levels of success across the frontier.  

By manually sifting their data, the reality of the market resolved, with approximately sixty-four percent of Americans living in isolated rural communities by 1890. Sears could also see that rural farmers and settlers were at the mercy of high-priced local general stores with limited inventory and zero competition.   

Sears radically optimized their print distribution and completely overhauled their product offerings. The initially modest catalog of mostly watches became a massive 500-page, illustrated proto-Amazon bible of hardware, offering settlers everything from firepower to heavy-duty agricultural plows and entire flat-packed prefab homes.  

This pivot, built on meticulous attention to consumer metadata, changed the modern world’s concept of retail. By 1905, Sears had built a massive fulfillment infrastructure based entirely on aggregated customer demand data, continually refining their offerings to match exact consumer needs, and was generating just under $2 billion (adjusted) in annual sales with a workforce of only 9,000 people.  

To prove that history has a sense of humor, a little over a hundred years later Sears is now in the later stages of being killed off by even more intelligent mail-order business, after taking its vast success and invested it all in physical shopping malls. But the foundational lesson remains - that understanding the nuanced, underlying behaviors of customers is the ultimate competitive advantage. Today, the modern equivalent isn't found in a paper catalog, but embedded within mobile networks, offering unprecedented insights into consumer behavior.    

Dynamic Allocation

 The modern enterprise doesn't rely on analog sales records but thrives on analysis of its data-driven connectivity. Just as historical retailers tracked shifting populations to determine exactly where to make their offer via catalog, today's smart businesses leverage granular network data to see how, when, and where their personnel and customers operate.  

Data-driven insights are invaluable for enterprises to offer mobile plans that are optimized for their market, be that travel, remote work, or high-bandwidth usage. In the growing pool of industries where continuous connectivity is a critical operational requirement, the ability to dynamically allocate network resources is a necessity.  

For example, a logistics company managing a fleet of delivery vehicles can use intelligent network profiling to ensure that their vehicles in the field don't suffer from unexpected signal degradation. With advanced enterprise eSIM solutions, connected devices will automatically detect coverage availability or localized carrier outages and dynamically switch networks to stay reliably on-grid.    

This fluidity is built to directly address the old pain points that were typical of traditional rigid carrier contracts. Previously, maintaining enterprise-tier communications meant negotiating complex, multi-year commitments with a patchwork of regional carriers, more often than not leading to significant technology debt and operational bloat. Organizations would repeatedly find themselves locked into expensive plans that didn't reflect their actual usage, paying for breakage and excessive data in one region while simultaneously suffering costly roaming penalties in another.  

Today, using agreements with dynamic allocation capabilities, IT and Ops teams can now instantly reallocate data resources based on real-time network performance and practical consumption metrics. This automated rebalancing ensures that costs are accurately tagged to the appropriate teams while maintaining an uninterrupted flow of data to wherever it’s needed most.  

Meanwhile, this dynamic allocation isn't restricted just to shuffling around internal enterprise resources, but also extends to consumer-facing applications.  

By analyzing how end-users are consuming data, service providers can tailor custom packages that anticipate user requirements, instantly adjusting data allowances over the air, reshaping traditional telco service models into a highly responsive value-add for both sides.    

Geo-Aware Services

If dynamic plan allocation represents the ‘what’ side of modern telco, then geo-aware services represent the ‘where’.  

In the past, crossing an international border meant having to physically swap out a little plastic card plastic from all your devices or else risk roaming charges. Today, localized connectivity enabled via sophisticated eSIM platforms means modern enterprises completely bypass traditional roaming friction. This reactive localized connectivity enables providers to create highly relevant offers, pricing, and notifications based precisely on the user’s real-time geographic location.  

Driving this new geographical specificity is the maturation of remote SIM provisioning standards. 

 The latest industry standards in the GSMA’s SGP.32 spec represented a massive disruption for the global connectivity market, introducing remote management capabilities that replaced complex SMS-based triggers with far more effective and secure IP-based protocols.  

This ultimately allows enterprises to more easily switch connection credentials, freeing them from being indefinitely locked into a single operator agreements or ecosystem. Consequently, ‘traditional’ roaming is now systematically being phased out and rapidly replaced by direct, localized connectivity that intelligently routes traffic through local breakouts for significantly reduced latency.    

For consumers, this geo-awareness has unlocked a new level of mobile service personalization. When a user lands at an airport, an app with integrated connectivity will detect the new location (permissions allowing) and offer the user a tailored local data plan. They don't need to hunt for a local vendor, risk the local SIM kiosks, or navigate local carrier’s confusing web portals.  

The provisioning and all associated configs happen automatically, with the transactions done within an interface they already trust. This level of connectivity personalization has more advanced business implications than just consumer convenience, as it’s the foundation of unified management across networks, regions, and a business’s entire digital estate.  

Cloud-based orchestrators can easily manage global fleets, so that a device booting up in Berlin receives an entirely different network policy than the same device coming online in Tokyo, all managed autonomously in the background.  

Looking forward, as 5G devices increasingly gain the built-in capability to connect to multi-orbit satellite networks, the concept of geo-awareness will rise in importance for both consumer and provider.    

Integrated Mobile Services

As connectivity becomes fully software-defined it's eroding the old conceptual barriers between what we thought of as distinct areas of the digital ecosystem, creating a new frontier of commercial collaboration and innovation. This ‘cross pollination’ is producing massive new cross-selling opportunities through novel integrated mobile services.  

Historically, telco data provision was in its own neat vertical, isolated and siloed away as a utility. Today, connectivity can be easily embedded into almost any digital product that has a screen to point at a willing user. Connectivity usage data is being heavily leveraged for financial products, sophisticated loyalty programs, and premium subscription tiers.  

The fintech sector, characteristically fast-evolving and early-adopting, is a good industry to look at to see the current technological direction of travel. Today, leading neobanks and challenger banks are enthusiastically deploying embedded telco directly into their core banking apps. This isn’t just an upsell, and most are providing services virtually at cost, since it’s proven to be a powerfully effective strategy to reduce churn while also harvesting invaluable customer data insights for precise credit risk modeling. As a side benefit, they even get to keep their brand top-of-mind by displaying it as the active carrier label on all their client’s home screens.    

This start-to-finish integration into the consumer journey is prompting some fairly profound reframing of traditional brand engagement strategies.  

The smarter retailers and lifestyle brands are quickly realizing that bundling reliable connectivity with their existing loyalty rewards creates a level of ‘stickiness’ that traditional discounts and giveaways simply can’t match.  

The underlying mechanism driving this cross-pollination is the rapidly expanding API economy. Major mobile network operators are eagerly embracing wholesale distribution models to quickly monetize their pre-existing network infrastructures, as APIs allow non-telco brands to launch turnkey-ready virtual networks with zero technological overhead or buying a single inch of cable.  

Examples of this new fusion include data analytics of a user's mobile connection natively triggering highly targeted cross-selling events. If a customer frequently purchases high-speed data passes abroad, then that’s fertile ground for a travel app to autonomously offer specialized travel insurance, hotel deals and regional event tickets.    

Trust and Privacy

It’s important to keep in mind that as any business becomes more deeply integrated into their users’ daily lives, the greater the volume of personal data that businesses will find themselves in possession of.   

While it’s not one of the more obvious sources of legally protected personal details, like running a medical practice, providing connectivity data is nonetheless inherently sensitive. It tracks physical locations, daily routines, and private communication habits.  

Consequently, customer trust and privacy should serve as the core considerations for any effective technological deployment. Failing that, the next most pressing consideration should at least be the gleefully aggressive and punitive governmental regulators who are currently harshly punishing businesses for compliance failures, both actual and potential.    

Any enterprise considering selling mobile data must ensure strict compliance at every stage of service provision, from telecom regulations local to all and every part of data routing to the stringent app store policies, all while maintaining an effortless user experience.  

This is why selecting the right connectivity technology partner is so important.  

Across the EU, the regulatory environment governing telco and data privacy is characteristically complex and legally dense. Privacy frameworks require complete transparency, strict data minimization, and regular implementation of updated technical safeguards.  

Personal data in the care of a business must be stored for the absolute shortest time possible, and organizations must follow set time limits to continuously erase or renew permissions for stored metadata, systematically purge logs, and unearth any deeply archived account data for permanent deletion immediately on account closure.    

Despite its reputation, the EU is not a regulatory monolith, and local jurisdictions can add their own flavor of complexity.  

Germany is a good example of a primary market with its own data protection characteristics, wherein the government recently introduced the Telecommunications Digital Services Data Protection Act (TDDDG), which provides some very precise regulations for telco and digital services providers.  

Optimistically, it can be said to have eliminated some long-standing uncertainties around telco privacy, which it did by introducing fearsomely strict rules about processing location data and intricate requirements for digital tracking compliance – all in addition to the preexisting national telco laws, plus the EU ones on top of that.  

Navigating this complex web requires both sophisticated data architecture and the expertise to use it, particularly when launching a Telco-as-a-Service model. Enterprises can't touch any of that valuable network data without first obtaining explicit consent and/or applying the appropriate anonymization.  

Updates to the European cyber resilience regulations under the European Digital Services Act (DSA) will soon require all products utilizing ‘digital elements’ to meet and maintain rigorous cybersecurity standards, including ‘security by design’ architecture (particularly around protection of minors) and rapid incident reporting. Registration systems must use biometric checks to prevent fraud, while simultaneously respecting all the data sovereignty laws that strictly control personal and location data… which is the exact same data that the biometrics needed in the first place.  

If an enterprise can't demonstrably protect all this constant data flow, then they risk fines and suspension of trading licenses even if data provision was in no way part of their original core service.    

The 1GLOBAL Difference

To securely gather and put to work all that rich connectivity analysis without running afoul of these complex, sprawling, highly aggressive regulatory entities, businesses need a reliable telco partner.  

This is where 1GLOBAL’s expertise becomes indispensable, having built a unique platform that enables real-time updates and automation to allow companies to entirely bypass those fearsome technical hurdles.  

Enterprises can launch and dynamically adjust their mobile offerings without needing deep technical expertise in global telecom infrastructure. 1GLOBAL provides a resilient core network backed by over 600 global roaming agreements and full virtual network operator capabilities.  

Digital brands can smoothly integrate eSIM purchasing directly into their familiar and trusted apps, so user can instantly install their new connectivity profile with a single tap, skipping all the slow and error-prone manual QR code scanning or opening of support tickets.    

What enables this level of automated agility are 1GLOBAL’s entitlement server (ES). While remote provisioning securely delivers connectivity profiles directly to a device, the ES is the gatekeeper for exactly what that profile is actually allowed to do.  

It negotiates highly OS- and OEM-specific services, expertly manages advanced 5G capabilities such as network slices, and powers unified multi-device experiences connecting smartphones and wearables.  

By outsourcing all the technical and regulatory heavy lifting to us, 1GLOBAL’s partners aren't bogged down by the daily mechanics of network management. Admin features like rapid number porting, instant profile swaps, and real-time data usage tracking are all built natively into the platform, empowering satisfied customers to easily see their daily usage and make repeat purchases.    

Contact a 1GLOBAL connectivity expert today to explore how your business can boost its connectivity offering swiftly, securely, and with your customers best interests in mind.