Monetization Strategies for Connected Products

For a long time, monetizing a connected product meant one thing: charge the end customer a subscription. That model works well for high-value industrial assets, home security systems, and streaming services. But thermostats, door locks, smoke detectors, and most wearables prove it isn’t the only path, or even the most common one. A large share of connected products succeed without ever charging the end customer a recurring fee, because the value they create doesn’t have to be collected there.

Chasing subscription revenue as the only goal leads to narrow feature choices, misaligned product teams, and a business case that doesn’t hold up. A real monetization strategy starts somewhere different: with identifying value, not with topline growth. Where there’s value, there’s a business model to be built around it, and growth follows as a result rather than a starting assumption.

Nine ways connected products create value

Revenue from the end customer is the most obvious source of value, but it’s rarely the only one, and often not the largest:

• New revenue streams. Pre-paid features, pay-per-use, add-on capabilities, service subscriptions, and leasing models all give an OEM more than one way to charge for a connected product, and they can be combined at different points in the value chain. See How to Create New Revenue Streams with IoT for the full list of models.
• Lean operational efficiencies. Connected products cut costs directly: tighter supply chains, fewer truck rolls, lower energy usage, predictive maintenance that avoids downtime, and faster identification of underperforming devices.
• Strong competitive positioning. Connectivity lets a company reach customers in more parts of their day-to-day work, building an economic moat that’s hard for competitors to cross. See How to Build Strong Competitive Positioning with IoT.
• Sticky brand loyalty. Products that connect with users more often build more trust, and that stickiness shows up as repeat purchases and higher lifetime value. See Design IoT Products that Create Sticky Brand Loyalty and Trust.
• Measured risk reduction. Remote monitoring reduces personal injury, asset downtime, theft, device misuse, and even insurance exposure. See Risk Reduction With Connected Products.
• Streamlined regulatory compliance. Automated reporting and real-time alerts make it easier to meet requirements like FDA cold-chain rules instead of relying on manual recordkeeping. See Use Connected Products to Streamline Regulatory Compliance.
• Faster time to market. Shipping firmware after launch, extending QA cycles into the field, and reusing cloud-based features across products all shrink the time it takes to get the next version out the door. See 5 Ways to Get to Market Faster with Connected Products.
• Quantifiable product quality. Remote monitoring replaces guesswork (return rates, customer reviews) with real field data on how a product actually performs and fails. See How to Leverage IoT for Next Generation Product Design and Quality Assurance.
• Relevant customer service and insight. Support teams that can see a device’s live status before picking up the phone resolve issues faster and cut return rates.

Any one of these can justify a connected product investment on its own. Most successful deployments combine several, sometimes at different points in the same value chain: an OEM might lease equipment to a distributor for a flat fee, while the distributor charges its own end users a subscription for the connected features layered on top.

Turning value into a number

Identifying where value shows up is the easy part. Building a business case means turning it into a number that can be validated, first on paper and then against real data. Brand loyalty is a good example: it’s driven by how often a customer interacts with a product, so a reasonable starting model might be “customers are X% more likely to make a repeat purchase, worth an average of $Y in additional lifetime value.” That statement can be tested and refined as real usage data comes in, the same way the other eight categories above can each be modeled and tracked over the life of a product. See Quantifying Value: IoT Connected Product Deployment for a full worked example.

Once value is quantified, an organization can optimize for it deliberately. If a connected pressure regulator’s biggest wins turn out to be predictive failure alerts and faster support resolution, that’s a signal to invest further in support-desk integrations and a brand message built around reliability, rather than spreading effort evenly across every possible feature.

Capturing the value you create

Quantifying value and capturing it are two different problems. Three questions tend to separate a solid pricing model from a guessing exercise:

1. Who pays? The end customer is the default answer, but it isn’t the only one. A two-sided model, where a third party covers the cost of customer access in exchange for the data or attention it generates, is worth considering when the end customer won’t pay directly.
2. What’s the price carrier? The price carrier is whatever the fee actually attaches to, and choosing it well can make or break value capture. Seasonal grain bin monitoring works best as a metered utility fee, since customers value it most right after harvest. A residential thermostat works better as a higher up-front price with the connected features bundled in “for free,” since most consumers resist another small subscription.
3. When does the money move? Shifting cost from the base unit to consumables or ongoing service, the same logic behind the razor-and-blade model, lowers the barrier to that first purchase and can raise total profitability over the life of the product.

Building a pricing strategy around these questions, instead of simply adding margin to a bill of materials, is what turns identified value into revenue an organization can actually collect. See Building a Pricing Strategy for IoT Products, Part I and Part II for more on structuring that strategy.

Building toward a data-driven future

Every one of these monetization paths depends on the same foundation: a connected product generating real data. That data is also the on-ramp to a longer analytics journey, one that moves from descriptive analytics (what happened) through diagnostic, predictive, and eventually prescriptive analytics (what should be done next). See Data Analytics for IoT for a closer look at that progression.

A connected product strategy built only around this quarter’s revenue target will miss that longer opportunity. One built around value, quantified honestly and captured deliberately, sets an organization up not just for a successful first product, but for a data foundation the next several products can build on too.