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The average homeowner will save PKR 5,400/- to PKR 23,400/- per year just by installing Wattie — which pays for itself within the first year. Then, based on location, usage and home characteristics, savings can reach up to PKR 90,000/- annually by letting Wattie help you navigate the energy transition.

1.Foster, B.; Mazur-Stommen, S. Results from Recent Real-Time Feedback Studies. 2012. 2.Faruqui, A.; Sergici, S.; Sharif, A. The Impact of Informational Feedback on Energy consumption. 2010. 3.ACEEE. 50% Energy Savings in the Residential Sector? Deep Energy Retrofits Are Making it Possible. 4. Independent Survey


Every month, we receive an electric bill from our utility. And every month, we dutifully pay that bill. Some months we pay more, some months less. Sometimes the utility provides perspective on our use compared to our neighbors. Sometimes we receive a flyer or email suggesting fairly general methods to decrease our bill. Regardless, at best we receive 12 data points per year on which to act. Pretty sparse. So, the reality remains: most of us have little idea how much electricity we consume at any given moment. And without that knowledge, we are poorly positioned to make changes in our usage. But what happens when we do have easy access to electricity data? What are the benefits of real-time energy data? And how can we use this data to achieve deep savings and to protect our energy assets?


Perhaps you are already convinced of the benefits of real-time energy data. If so and you are ready to buy an energy monitor for your home, click here to find the purchase links for all devices by Wattie. Otherwise, keep reading to learn more about research results around the benefits of continuous streaming data at your fingertips!


According to Faruqui et al (2009), consumers with access to real-time electrical data save between 3% and 13% through conservation. Work by Foster and Mazur-Stommen (2012) suggests savings as high as 20%. However, a large proportion of their sample set drew from customers on pre-payment plans not found in Pakistan. Zipperer et al (2013) conducted a review and determined a slightly narrower 4% to 9% band for savings. But these researchers noted a difference between opt-in and opt-out methods for gathering sample sets. Basically, opt-in groups achieve significantly higher savings than opt-out groups. Given their vintage, these studies typically provided real-time data through an in-home display (IHD). Today, of course, we would expect a mobile app to show the benefits of real-time energy data!


For calculating savings, we considered that Wattie would integrate

  1. A quality app interface, as opposed to an IHD, to deliver real-time data;
  2. Users who have chosen to download this app, thereby opting in; and
  3. Variable levels of user engagement, which reasonably correlate to their level of effort towards conservation.

Therefore, Wattie selected a 3% – 13% savings range as its basis but has applied scaling to that range in order to determine a particular user’s calculated savings. For example, a user who has downloaded the Wattie app and consults it daily received credit for full 13% savings. In contrast, a user who rarely opens the app receives only 3% savings.