Everyone wants to find the cheapest option for a certain product. People will spend quite a long time to compare different prices of the same product at different online and offline stores. It is an exhausting experience, and there is no guarantee that your final pick is the cheapest. Wikibuy is a better offer finder online that helps you to save money and time. This post will review the firm and the major features of Wikibuy, share my customer review analysis, and find out the trend of Wikibuy.
Wikibuy was born with the aim at helping people to find a better deal while shopping online. When shoppers do it by themselves, they will often face an endless options of offers from many different stores. Wikibuy is based in Austin, the United States. The firm later was acquired by Capital One in 2018. Wikibuy is a free service that is available on the website and on your Chrome browser using an extension.
This discount service firm has been serving more than 2 million members who have saved over $50 million in sum.
This section will explain the major features of Wikibuy.
Find Better Price
Wikibuy allows you to find a better deal on Amazon. While you are shopping on Amazon, the firm will browse thousands of merchants to make sure that you are getting the best deal. When a Wikibuyer (a Wikibuyer member) finds a better deal, the other Wikibuyers having the Chrome extension on their browser will automatically be informed about it. You just need to shop on Amazon, and Wikibuy will automatically find you a better deal.
Apply Coupon Codes Automatically
With a simple click, you can apply actual codes upon checkout on thousands of retailers. Codes are updated in real-time depending on which codes are saved the most by other Wikibuyers.
On large sites such as Walmart and eBay, you can earn credits upon purchases. You can spend earned credit to buy gift cards.
Universal Product Search
When you search for any item or scan any barcode, Wikibuy tells you the available prices at top retailers. This can be especially useful when you are shopping offline. It can stop you from impulse buying and lead to a wise purchase decision.
Price Drop Alert
When you looked at or actually bought products, Wikibuy keeps track of them and informs you of a price drop of those products. If you don’t urgently need some products, you can use this feature to save money.
Install Chrome Extension
You can use Wikibuy on the website, but without the extension, you are not using its full capacity. While shopping on the Amazon website, the Wikibuy extension will monitor your shopping activities. When you check out, it will find you, if exists, a discount coupon that will let you save money. Installing it is easy. Go to this Chrome Web Store and click the install button.
If you are a first user, it will ask you to create a new account, which is totally free. And, that’s it. You are ready to use it.
Behind Wikibuy Discount Coupons
The Wikibuy’s discount and coupon features are not achieved solely by Wikibuy. I read this Wikibuy blog article that explains how it benefits from crowdsourcing to provide those features. Crowdsourcing is a way of capitalizing on the large crowd to achieve a certain goal. In the context of Wikibuy, the members are the source of the crowd. Wikibuy’s large crowd consists of a huge network that uses and verifies the effectiveness of discount coupons.
When an Wikibuyer shopper enters a coupon code upon checkout, the code gets shared with other shoppers in real time. When you hit the “try codes” button at checkout, you get access to almost every possible coupon for the product. Wikibuy uses this crowdsourcing technique to grow the coupon lists and also sort codes by the saving amount. When a shopper successfully gets discount with a code, the code’s rank goes higher. If a discount code gets expired or does not work, the rank goes down in the list and in the end, it will disappear.
Wikibuy’s crowd allows to keep the latest working coupons for its shoppers. The firm explains that they have more than 1.5 million Wikibuy members for crowdsourcing.
Behind Wikibuy Price Comparison
Another important feature is the price comparison that leads you to a better offer. How does that work? Does it use crowdsourcing too? Wikibuy, on its blog post, explains that they perform the comparison using their data science techniques and partnerships with some large retailers. An interesting fact I learned is that Wikibuy waits until you select details of the product such as color, size, or model, and when you select them, that is when Wikibuy compares prices with those details and finish the task in seconds.
Plus, you all will have an experience that some online shopping site will display the lowest price on Google, and you go there and find out that the shipping cost is more expensive than other retailers. Wikibuy goes further that when it finds other matched product, it calculates shipping price and tax, and it compares them with other sellers. Furthermore, Wikibuy factors in available coupon codes before displaying the lowest price. That means if there is an available discount code, Wikibuy will automatically apply it to calculate the price, which happens before you place an order.
How Customers Think About Wikibuy
When you see product introduction from a company, you will always hear great things about it. No company will reveal any weaknesses or defects of the product, obviously. So, as a consumer, it is wiser to doubt what they say and do your own research before making a final purchase decision. In this section, we will learn how actual users think about Wikibuy. How can we measure these? We can do this by using data analysis techniques called sentiment analysis.
You don’t have to be scared by the technical term. I did the technical part and you can just look at pretty graphs. In this section, I will show you two types of graphs – word cloud and customer sentiment chart. For the analysis, I’ve compiled more than 1,450 customer reviews from TrustPilot and conducted analysis to summarize them. I will show you the result in a word cloud and a customer sentiments chart. And, lastly, I will share a Wikibuy Google trend result that shows the level of interest from people.
Word cloud is one of the great and fun ways to understand customer sentiments toward a product or a service. In a word cloud, you can see specific words in different sizes. The larger it is, the more people used that word to describe the product. For this word cloud, I used the titles of the reviews, since people put the essence of their opinions in the title. The 1,450+ reviews allowed me to generate an interesting word cloud that let me reach a positive conclusion. Check it out!
Understanding the word cloud is easy. Just follow your eyes and see what you see. You will see that most of the big words are all positive. This means that users have had a positive experience with the product. People used words like “love”, “saved”, “easy”, “great”, “awesome”, “excellent”, and more positive terms to describe this online service. Among these words, people used “saves” and “save”. Like “saved”, these words appeared when people wanted to say that Wikibuy actually saves their money.
In the word cloud, we were able to observe what descriptive words people used to talk about Wikibuy. As mentioned, the word cloud is based on the titles of customer reviews, but the sentiment analysis graph was generated by the contents of the reviews. In the sentiment analysis, we will see more specific types of feeling that people showed in their review. In the analysis, you can see 10 different sentiments such as positive, negative, trust, anticipation, joy, fear, sadness, anger, surprise, and disgust.
The technology behind the chart is straightforward. The analysis algorithm holds 10 different lists – each list containing words that are mapped to one of the 10 sentiments. When this algorithm runs, it checks and matches with one of the sentiments. When matched, it is counted as one and is categorized in one of the 10 sentiments. My analysis on the positive reviews appears as below.
The chart is also not difficult to understand. You can see that the positive sentiment is ranked number one. The first rank is followed by “negative”, “trust”, “anticipation”, “joy” and “sadness”. It does have some negative opinions, but overall, people shared more positive sentiments than negative ones. So my customer review analysis told me that the majority of the people have a positive experience with Wikibuy. To add more clarity, I also generated a simpler positive vs. negative chart as below.
As the final segment of analysis, let me share the trend of Wikibuy. I used Google Trend to check how frequently “Wikibuy” is searched on Google over the past year. Google Trend is a useful tool to measure the interest of people. The more frequently people search on Google, the more popular or trendy it is. The Google Trend result below (not visible on mobile phones) below shows that people have shown an increasing interest in this discount service over the period.
Please note that this is the trend from the United States. If we break down the trend by state, it looks like below.
Please find the list icon at the bottom right and click it. It will then turn to a country ranking list. The biggest interest came from Virginia, followed by Vermont, Idaho, Hawaii, and New Hampshire. Since they are the big five states in terms of popularity, you might also be from one of the states I guess.
My analysis told me that Wikibuy is not a scam nor a threat as some other review websites asked. Their features make much sense, and I believe that shoppers will benefit from them. My customer review analysis also supports that Wikibuy has been used by many people, and the actual users left positive feedback. What’s best, it is totally free. So, it will be no harm for you to try Wikibuy and hopefully save money. Happy shopping!
I thought that you might want to check a money-saving service. I reviewed an online platform called Swagbucks. If you are looking for a way to earn some money online, Swagbucks might be helpful for you.