This document analyzes data from X Delivery Company's early operations in the Bay Area to gain business insights. It finds that:
1) Popular merchants in Palo Alto generated over $600k in orders, showing opportunities to deepen partnerships with top merchants.
2) Experts typically earn a median tip of $2.55 per delivery and complete around 6 deliveries per day, indicating tips are an attractive incentive.
3) Delivery times can be improved by shortening the 25 minute median time between a dasher arriving at a restaurant and delivering the order.
Using Data To Predict Optimal Windows to Explore Consumer ServicesRingPartner
RingPartner analyzes millions of yearly consumer calls which provide them with unique insights into both consumer and business behavior. In this study, RingPartner analyzed big data on the least and most popular times of the year that consumers connect with important service providers and vice versa; ranging from home improvements and insurance to legal help.
How to Think Product Analytics in PM Interviews by Amazon Sr PMProduct School
Main takeaways:
- Knowing what metrics to measure and how to measure them are key skills for a Product Manager. Interviewers are always going to gauge this aspect.
- How should we think about setting Product Metrics for every situation? How should we think about measuring these?
- What are the strengths and limitations of A/B testing. When can you use it and when should you rely on other methods? What are the different methods for measuring metrics and when to employ those.
Using Data To Predict Optimal Windows to Explore Consumer ServicesRingPartner
RingPartner analyzes millions of yearly consumer calls which provide them with unique insights into both consumer and business behavior. In this study, RingPartner analyzed big data on the least and most popular times of the year that consumers connect with important service providers and vice versa; ranging from home improvements and insurance to legal help.
How to Think Product Analytics in PM Interviews by Amazon Sr PMProduct School
Main takeaways:
- Knowing what metrics to measure and how to measure them are key skills for a Product Manager. Interviewers are always going to gauge this aspect.
- How should we think about setting Product Metrics for every situation? How should we think about measuring these?
- What are the strengths and limitations of A/B testing. When can you use it and when should you rely on other methods? What are the different methods for measuring metrics and when to employ those.
Most critical SaaS metrics everybody should trackStrive Analytics
Don't get lost in space! Understanding SaaS metrics is no rocket science.
We recently got a lot of user request to explain and detail critical SaaS metrics.
Not only lifeless definitions but also how they're calculated, why they are useful and how they are connected to each other.
This guide gives you a simple to understand introduction into SaaS metrics. So, we grouped them into three parts: acquisition, retention and revenue.
And these are some of the metrics, we're going to introduce:
Customer Acquisition Cost (CAC), User Churn, Retention Rate, Revenue Churn, Customer Liftime Value (LTV) and Monthly Recurring Revenue (MRR).
Enjoy!
Most critical SaaS metrics everybody should trackStrive Analytics
Don't get lost in space! Understanding SaaS metrics is no rocket science.
We recently got a lot of user request to explain and detail critical SaaS metrics.
Not only lifeless definitions but also how they're calculated, why they are useful and how they are connected to each other.
This guide gives you a simple to understand introduction into SaaS metrics. So, we grouped them into three parts: acquisition, retention and revenue.
And these are some of the metrics, we're going to introduce:
Customer Acquisition Cost (CAC), User Churn, Retention Rate, Revenue Churn, Customer Liftime Value (LTV) and Monthly Recurring Revenue (MRR).
Enjoy!
Pitch deck for Tattle. Tattle is an iOS mobile app and SaaS based product that enables local merchants to obtain private and unbiased customer feedback in its most actionable form, while customers are incentivized to return for repeat purchases through earned deals.
How to recession-proof your business with better cash flow managementAmaya Woods
The IMF predicts the world economy will contract by 4.9 percent during 2020, and global economies are not expected to recover from the effects of the pandemic until late 2022 (ING).
In these times of economic uncertainty, cash flow management is one of your business' most valuable tools. Effective cash flow management will help your business withstand the impacts of the economic recession and ensure you are in the best possible position for growth when global economies begin to recover.
During this webinar, you'll hear advice from a panel of cash flow management experts.
Learn how you can recession-proof your business with better cash flow management including:
- Accurate cash flow forecasting
- Comprehensive spending and expense management
- Optimised accounts receivable processes
Watch the recorded session: https://hubs.li/H0LlNQ00
Brian Kalma fue ponente en la pasada edición del European Ecommerce Conference (celebrada el 29 de Octubre de 2009 en el Circo Price de Madrid). Director de User Experience de zappos.com, tienda online recientemente adquirida por Amazon por su 'extraordinaria orientación al cliente', la ponencia de Kalma se tituló 'Extending the customer Experience'
Time has changed since the arrival of Covid-19. Almost every city and country in the world has gone through the lockdown. More people are placing orders online to avoid going outside. In this PPT you'll know why you should need to bring your restaurant online.
At Cashrewards.com.au everyone gets paid to shop at over 1,000 stores. Registration is a one-click, 15 second step process that can earn members $1000s of dollars per year. We tackle the issue of increasing living costs by providing our members the cheapest way to shop in Australia giving cashback at stores such as Woolworths, eBay, Telstra, Amazon, Apple and more. The following is a one minute explainer https://www.youtube.com/watch?v=TLyO_AG7z4Q.
Retailers also benefit by being able to reduce their digital advertising spend with Google and Facebook who take 80% Globally http://www.cnbc.com/2016/07/28/google-and-facebook-are-getting-almost-all-digital-ad-money.html. Cashrewards gets paid a commission on each customer purchase and shares this with the customer in the form of cashback. This is a win-win as the retailers only pay on the confirmation of a sale as opposed to per view or per click and the customer receives cashback. This provides at least 400% more value to the retailer than spending with Google or Facebook https://mumbrella.com.au/iab-launches-affiliate-marketing-handbook-plans-measure-australian-market-403721.
Our exceptional growth substantiates the model and our hard work has been recognised by being named the winner in the Deloitte Tech Fast 50. To continue to benefit the Australian community our vision is simple: reach over 2 million members by the end of 2018.
https://www.slideshare.net/cgarner/cashrewards-investment-deck-online-shopping-community-australia
Most critical SaaS metrics everybody should trackStrive Analytics
Don't get lost in space! Understanding SaaS metrics is no rocket science.
We recently got a lot of user request to explain and detail critical SaaS metrics.
Not only lifeless definitions but also how they're calculated, why they are useful and how they are connected to each other.
This guide gives you a simple to understand introduction into SaaS metrics. So, we grouped them into three parts: acquisition, retention and revenue.
And these are some of the metrics, we're going to introduce:
Customer Acquisition Cost (CAC), User Churn, Retention Rate, Revenue Churn, Customer Liftime Value (LTV) and Monthly Recurring Revenue (MRR).
Enjoy!
Most critical SaaS metrics everybody should trackStrive Analytics
Don't get lost in space! Understanding SaaS metrics is no rocket science.
We recently got a lot of user request to explain and detail critical SaaS metrics.
Not only lifeless definitions but also how they're calculated, why they are useful and how they are connected to each other.
This guide gives you a simple to understand introduction into SaaS metrics. So, we grouped them into three parts: acquisition, retention and revenue.
And these are some of the metrics, we're going to introduce:
Customer Acquisition Cost (CAC), User Churn, Retention Rate, Revenue Churn, Customer Liftime Value (LTV) and Monthly Recurring Revenue (MRR).
Enjoy!
Pitch deck for Tattle. Tattle is an iOS mobile app and SaaS based product that enables local merchants to obtain private and unbiased customer feedback in its most actionable form, while customers are incentivized to return for repeat purchases through earned deals.
How to recession-proof your business with better cash flow managementAmaya Woods
The IMF predicts the world economy will contract by 4.9 percent during 2020, and global economies are not expected to recover from the effects of the pandemic until late 2022 (ING).
In these times of economic uncertainty, cash flow management is one of your business' most valuable tools. Effective cash flow management will help your business withstand the impacts of the economic recession and ensure you are in the best possible position for growth when global economies begin to recover.
During this webinar, you'll hear advice from a panel of cash flow management experts.
Learn how you can recession-proof your business with better cash flow management including:
- Accurate cash flow forecasting
- Comprehensive spending and expense management
- Optimised accounts receivable processes
Watch the recorded session: https://hubs.li/H0LlNQ00
Brian Kalma fue ponente en la pasada edición del European Ecommerce Conference (celebrada el 29 de Octubre de 2009 en el Circo Price de Madrid). Director de User Experience de zappos.com, tienda online recientemente adquirida por Amazon por su 'extraordinaria orientación al cliente', la ponencia de Kalma se tituló 'Extending the customer Experience'
Time has changed since the arrival of Covid-19. Almost every city and country in the world has gone through the lockdown. More people are placing orders online to avoid going outside. In this PPT you'll know why you should need to bring your restaurant online.
At Cashrewards.com.au everyone gets paid to shop at over 1,000 stores. Registration is a one-click, 15 second step process that can earn members $1000s of dollars per year. We tackle the issue of increasing living costs by providing our members the cheapest way to shop in Australia giving cashback at stores such as Woolworths, eBay, Telstra, Amazon, Apple and more. The following is a one minute explainer https://www.youtube.com/watch?v=TLyO_AG7z4Q.
Retailers also benefit by being able to reduce their digital advertising spend with Google and Facebook who take 80% Globally http://www.cnbc.com/2016/07/28/google-and-facebook-are-getting-almost-all-digital-ad-money.html. Cashrewards gets paid a commission on each customer purchase and shares this with the customer in the form of cashback. This is a win-win as the retailers only pay on the confirmation of a sale as opposed to per view or per click and the customer receives cashback. This provides at least 400% more value to the retailer than spending with Google or Facebook https://mumbrella.com.au/iab-launches-affiliate-marketing-handbook-plans-measure-australian-market-403721.
Our exceptional growth substantiates the model and our hard work has been recognised by being named the winner in the Deloitte Tech Fast 50. To continue to benefit the Australian community our vision is simple: reach over 2 million members by the end of 2018.
https://www.slideshare.net/cgarner/cashrewards-investment-deck-online-shopping-community-australia
Stat 323 project: Throwing Accuracy with DartsHubert Lo
A group project that I and two other group members, Kyle and Cisco accomplished in winter quarter 2014 which focuses on Design of Experiments and ANOVA- Analysis of Variance.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
2. Agenda - Let’s Dive into It
Challenge 3
Intro:
This data analysis is based on one Month of data during X company early operations primarily in the Bay
Area (San Jose, Palo Alto, and Mountain View). The intent is to find out business insights around X
Company and its business operations. This will cover primarily in two angles: the Merchants/Partners and
X Company Delivery experts.
Merchants/Partners
● Customer Obsessed : Who are most popular merchants - we need to deepen our relationships?
● Fast Delivery: How Long is it taking us for us to get to our customers to have their food delivered?
Dashers/DoorDash Employees
● Attractiveness: Is the Amount of Tip that Experts receive per delivery attractive and how much can
they possibly make on a given day?
● Operation Volume: How many deliveries do delivery experts usually deliver on one particular day?
(Is it consistent on a daily basis - a metric to look at productivity per dasher)
3. Popular Merchants → More Deliveries
Top Volume and Total Amount Gross comes from Palo Alto
Palo Alto and Mountain View Customers - Avg Order Amount is
higher (willing to pay premium)
We see 63% of our order volume is coming from
Palo Alto which generated in over $600k in Customer
Order total spent.
Mountain View average order amount is higher than
Palo Alto and San Jose. But smaller volume of
orders.
We want to figure out where our Customers ordering from and from which Merchants
4. Merchants by Restaurant ID
These are the merchants customers are obsessed
about. These merchants are generating revenue
At the end of the day, Customers are spending $1310
daily on Merchant 9 (average)
Average Amount Daily Total Customer Spend: is defined as order total amount by Customers on a daily (average levels)
There are Merchants we see unbelievable amount
of orders on a daily basis (36 average orders)!
5. Challenge 3
Restaurant ID Total Orders
Order Total
Amount
8 744 $38,135
20 716 $32,520
9 713 $39,173
107 491 $26,083
12 472 $15,422
68 415 $19,281
10 381 $21,838
63 375 $27,169
28 245 $11,737
27 239 $10,873
Restaurant
ID Total Orders
Order Total
Amount
194 186 $9,114
170 174 $8,128
201 105 $2,802
190 89 $2,214
183 88 $4,921
271 72 $3,013
303 67 $3,375
186 60 $2,742
139 58 $3,106
Top Order Restaurants in Palo Alto Top Order Restaurants in San Jose
We need to make sure to deepen our relationships from the
Top Volume & High Order Amount Merchants
Restaurant
ID Total Orders
Order Total
Amount
43 212 $6,589
98 201 $10,711
44 189 $7,746
76 151 $8,680
30 149 $8,449
45 136 $7,986
87 123 $7,092
41 98 $7,540
77 92 $4,838
Top Order Restaurants in Mountain View
Order total amount: defined as Order Total Spent by Customer
6. Experts make median $2.55 Tip per Delivery
Tip Amount as a Percent of Total Order Amount
Median Amount Across Regions: 5.0% (50 Percentile)/ 9.9% (75 Percentile)
San Jose: 7.8%/11.4%
Palo Alto: 5.0%/8.6%
Mountain View: 5.0%/9.9%
Median Amount Across Regions: $2.55/$4.45
San Jose: $2.99/$4.81
Palo Alto: $2.41/$4.27
Mountain View: $2.6/$4.62
7. Experts do on 6.2 average deliveries a day
Day of Delivery
Middle Range of Experts can make $15.8 Tip Per Day and Top 25% can make $27.70 Tip Per Day*
Avg Deliveries per day per driver has variability- higher avg deliveries is correlated with lower number of
drivers, and lower when higher number of drivers (see boxes highlighted in chart)
* Avg Tip per Delivery Multiply Avg Deliveries per day
8. 45 mins Delivery Time - shorten restaurant to customer drive time
Quartiles
Median (Q1-
Q3)
Customer to
Restaurant
Place Time
Customer to
Driver Arrive
Restaurant Time
Customer Place to
Delivered Time
25% 0:01:15 0:11:24 0:33:11
50% 0:03:47 0:19:08 0:44:30
75% 0:14:19 0:33:41 0:59:35
Time Duration: displayed in hour, mins, seconds
Customer to Restaurant Place time: Difference between Customer Placed time and Placed within Restaurant
Customer to Driver Arrive Restaurant Time: difference between Customer Placed time and Driver arrived at restaurant
Customer Place to Delivered Time: difference between customer placed time and delivery arrived to Customer
We are getting to our Customers from placement of their
Order to Delivered time a little bit less than 45 minutes.
Our systems in sync from Customer ordering on our site
platform (App) to Restaurants Receiving order is about 3
mins.
The separation in time is much greater after dasher
arrives at the restaurant to delivery at customer place
50 - Percentile is showing up to 25 mins here. This is
the biggest chunk of time in the journey
9. Next Steps
1. Deepen partnerships with High Growth Merchants Identified
a. Think about ways we scale more business - more revenue growth opportunities
b. Can we do more advertising or delivery deal promotions with these Merchants
2. Ongoing Hiring - “Attractive Tip Amount for Dashers”
a. Marketing High Daily Tip Amount makes the job very attractive to candidates
b. Boosting a consistent pool of Dashers - we saw when we have less dashers -
average deliveries per dasher increase (however this can’t go too high or it will
cause burnout)
3. Drive towards Operational Excellence
a. Double down on driving consistent deliveries per dasher on daily basis
b. Double down on lessening the time between Dasher arrived at restaurant and
arrival time at customer
Editor's Notes
How to consistently reduce dasher delivery times
How do the regions where less orders - delivery time look like?
How many drivers do we have serving the Regions and these high volume restaurants
Refunded Amount - Reduced
Amount Tip Earned Per Delivery
Amount of Discount for Customers