In our data study we searched for the key phrase Lottery Retailer in New York City, and then repeated this for the other top 199 most populated cities in the United States. We then analyzed Lottery Retailer Google Business (previously: Google My Business) Profiles to understand the Industry. How many reviews do you need? How many reviews do you need to rank in the top 3 of Google? And much more.
Average Number Of Reviews For All Lottery Retailer Companies
After conducting a thorough analysis of Lottery Retailer Google My Business profiles in the top 200 most populated cities in the United States, we found that the average number of reviews for all Lottery Retailer companies is 55. This means that on average, Lottery Retailer companies have received 55 reviews from their customers. However, it is important to note that there is a wide range of review counts among Lottery Retailer companies. While some companies have only received 4 or less reviews, others have received as many as 500 reviews. Additionally, we found that the majority of Lottery Retailer companies (over 70%) have received 100 or less reviews. These findings suggest that while Lottery Retailer companies are receiving reviews from their customers, there is still room for improvement in terms of increasing the number of reviews they receive.
Average Number Of Reviews Of The Lottery Retailer Companies Ranked In The Top 3 Of Google
After conducting a thorough data study on Lottery Retailer companies in the top 200 most populated cities in the United States, we found that the average number of reviews for companies ranked in the top 3 of Google was 89 in Dallas, 50 in Phoenix, 44 in Chicago, 41 in San Antonio, 30 in New York, 20 in Houston, 10 in San Diego, 9 in Philadelphia, 1 in Los Angeles, and 0 in San Jose. These numbers indicate that there is a significant variation in the number of reviews for Lottery Retailer companies across different cities. It is interesting to note that Dallas has the highest average number of reviews, while San Jose has the lowest. This data can be useful for Lottery Retailer companies to understand the review and reputation management landscape in different cities and to develop strategies to improve their online presence.
Cities With The Highest Amount Of Lottery Retailer Google Reviews
After conducting a thorough data study on Lottery Retailer Google My Business profiles in the top 200 most populated cities in the United States, it was found that Overland Park, Olathe, and Gilbert had the highest amount of Google reviews for lottery retailers. These cities had 3159, 1115, and 902 reviews respectively, indicating a high level of engagement and interest in lottery retailers among their residents. Other cities with a significant number of reviews included Lancaster, Garland, and Sioux Falls, with 901, 642, and 591 reviews respectively. It is interesting to note that Port St. Lucie, Palmdale, Cape Coral, and Huntsville also had a considerable number of reviews, with 543, 503, 462, and 390 reviews respectively. This data study sheds light on the review and reputation management landscape of lottery retailers in the United States and provides valuable insights for businesses in this industry.
Cities With The Least Amount Of Lottery Retailer Google Reviews That Still Ranked In The Top 3
After conducting a thorough data study on Lottery Retailer Google My Business profiles in the top 200 most populated cities in the United States, it was found that some cities had surprisingly low numbers of reviews despite ranking in the top 3. Colorado Springs, Cincinnati, and Boise were the cities with the least amount of reviews, all having a total of zero reviews. It is perplexing to see such a lack of engagement from customers in these cities, especially considering the popularity of lotteries and the potential for high revenue for these retailers. It raises questions about the effectiveness of review and reputation management strategies for Lottery Retailers in these areas and the potential impact on their business. Further research is needed to understand the reasons behind this lack of engagement and to develop effective solutions to improve customer engagement and satisfaction.
