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The document summarizes customer feedback from interviews and a web survey about sharing traffic and strike information. Key findings include: 1) Most customers would share location during traffic jams or strikes; 2) All customers want a real-time app or website for this information; 3) Opinions are divided on whether information is more reliable from a free collaborative app or paid app; 4) Most would pay $1 or want the app free according to interviews but most would pay $1-5 according to the web survey. The feedback validated the problem and need for the information sharing idea and app.
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Gangs 3
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2) When asked what was most important in their vehicle purchase decision, visitors indicated monthly payment (38%) and total selling price (28%) were the top factors, followed by fuel economy (14%).
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Auto Digest What Matters To Site Visitors Paglia
1) A survey of over 5,000 visitors to dealership websites found that 67% planned to purchase a vehicle within 90 days, with 62% planning to purchase within 30 days. 67% intended to replace an existing vehicle as a trade-in.
2) When asked what type of vehicle they planned to buy next, 49% said new, 35% said pre-owned, and 16% were undecided. For pre-owned interested visitors, passenger cars and SUVs were most popular.
3) Monthly payment and total selling price were the most important decision factors for pre-owned interested visitors, followed by fuel economy. This validates that ads should emphasize payments and price to attract website visitors.
Presentation examples for class 6 customer relationships
The document discusses different customer relationship examples for various products and services, including strategies for demand generation, key opinion leaders, willingness to pay testing, and virality versus churn for mobile apps. Examples include targeting women on Facebook ads, booth promotions at trade shows, referral programs, and working with patient advocacy groups for medical devices. The examples provide insights into effective customer acquisition tactics.
Predictive analysis can help you find right partner! Learn how?
The document is a slide presentation about predictive analytics and its applications in finding romantic partners. It discusses what predictive analytics is, why it is used, and domains where it is applied, including dating. Examples are given of dating companies that use predictive analytics to match users. Factors like profile photos, word choices, and social connections are analyzed to make matches. Case studies of Match.com and Facebook show how they apply predictive models to dating profiles and social media activity to predict relationships.
Web Results - 2011 King County Voter Opinion Survey
King County Elections conducted a statistically valid survey of 604 randomly-selected registered voters in order to assess our agency’s performance. This excerpt contains results relative to web communication.
See complete report: http://kingcounty.gov/elections/referenceresources/publications/2011votersurvey.aspx
T3 e gourmet
The team proposes an e-commerce platform called "E-Gourmet" to help restaurants connect with customers and suppliers. They conducted surveys of restaurants in Bolivia and Virginia to understand their needs and evaluate the market potential. Most restaurants surveyed are interested in online tools to improve sales, customer relationships and supply chain management. The team's analysis indicates opportunities to offer an online platform that streamlines ordering and reservations, provides customer feedback, and connects restaurants directly to suppliers.
Venture Lab 2012
The team proposes an e-commerce platform called "E-gourmet" to help restaurants connect with customers and suppliers. They conducted surveys with restaurants in Bolivia and Virginia to understand their needs and validate the market. Most restaurants surveyed use the internet and tools like Facebook and websites to engage customers. They are interested in solutions that can increase sales and optimize ordering through online reservations and payments. The team believes their free platform can create value by connecting the entire supply chain for restaurants.
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Vl
- 1. Venture LAB For testing our value proposition we did 20 face to face interviews (20) and we’ve got 10 answers on the web survey. (Ages from 18 to 54 years old)
- 2. 1. In case you were in a traffic jam or a strike will you share this information for free from your cell phone? Interviews No Web survey No 13% 15% Yes Yes 85% 87% Our customers are well-disposed to share information about their location on a traffic jam or strike.
- 3. 2. Would you like to have a website/app to view information about strikes and traffic in real time? Interviews / Web survey Yes 100% From this customer feedback we’ve learned that our target customers have the problem that we think they do and thay need this kind of information.
- 4. 3. How do you think the information about traffic jams or strikes will be more reliable? Interviews Web survey With a payed With a web/app payed 36% web/app Free and Free and 43% collaborativ collaborativ e web/app e web/app 64% 57% This analysis gets interesting about the information reliability with divided opinions, almost 60% for the “Free and collaborative web/app” option and 40% for the “payed web/app” option.
- 5. 4. How much will you pay for this app? 5$ Interviews Web survey 5% 5$ Free 1$ 14% 14% 30% Free 65% 1$ 72% Other interesting aspect is that on face to face interviews the 65% think that this web/app should be free but on the web survey only 14% think they should pay for this web/app.
- 6. Based on customer feedback we are still pursuing the same main idea but considering new details most of all about the best way to support this web/app.