HELPFUL TIPS TO MAKE IT THROUGH LOAD SHEDDING
Saturday, December 13, 2014
People all over South Africa are affected by the recent power cuts since the implementation of stage three load shedding after the collapse of one of Eskom’s silos in Mpumalanga.
Derek Wilson, Head of Hippo.co.za, says, “Power cuts do not just cause inconvenience in terms of not having electricity, they can also cause irreparable damage your appliances. Make it through the load-shedding period with these helpful tips:
“If you have household insurance, you can rest assured by knowing that your household appliances are covered against power surge damage. Ensure that you have the best cover for your household appliances by comparing from a range of household insurance providers on Hippo.co.za. At least 8 out of 10 Hippo customers have saved an average of R348 per month on their home and car insurance,” concludes Wilson.
Established in 2007, hippo.co.za is South Africa’s leading comparison website that helps consumers save money by comparing a range of SA providers across financial products such as car insurance, home insurance, life insurance, medical and more. Hippo is free to use and saves consumers the time and hassle of shopping around for the best deal since the Hippo.co.za website instantly retrieves real-time quotes from the different providers using the latest Internet technology. At least 8 out of 10 people could save an average of R427* per month on their car insurance.
Hippo.co.za makes money by simply charging its partners a fee when a customer chooses to find out more about their products. The results consumers see, and the order in which they are presented, is in no way influenced by the fee hippo.co.za charges its partners or any other factors other than the price of the product being compared.
Hippo Comparative Services (Pty) Ltd is an authorized financial services provider (FSP number: 16357).
*Average savings based on a representative market research survey conducted by Kaufman Levin Associates, on behalf of Hippo.co.za in May 2014. Risk Profile Dependent.