Headline is the The most important part of writing an article.
StartUp Event Facts
- A quarter's earning of global financial services market can buy Amazon, Google, Facebook & Apple
- Starbucks earned their 8% of profits from the interest generated via their loyalty cards. It's bigger than any bank in the world
- 90% of all successful startups are self funded
- Smartphones would vanish in the next 10 years.. They will be replaced by AI and IoT.. There are 50 billion devices on IoT already
- Flipkart started off as a price comparison website.. But when they discovered that there are no portals to compare price, they decided to become one. Common floor started as coupon website
- India has 80 million people in rural areas, out of them 28 million are entrepreneurs and less than 10% has a website. A company making websites for Rs 5000 can become a billion dollar company by tapping this market.
- Any successful eCommerce venture in India can be easily replicated in Indonesia, as they have almost equal mindset and temperament,
- eCommerce portals in China have an average delivery time of 4 hours within the city and 48 hours anywhere in the world, including Antartica
- 75% of Hong Kong's population uses their metro service.. This includes several millionaires and billionaires
- Hong Kong has a population of 7.2 million, but receives 65 million tourists in a year
- You can start a business in Hong Kong with a startup capital of 1 HK$ and it takes just 60 minutes to incorporate it.
- Starbucks earned their 8% of profits from the interest generated via their loyalty cards. It's bigger than any bank in the world
- 90% of all successful startups are self funded
- Smartphones would vanish in the next 10 years.. They will be replaced by AI and IoT.. There are 50 billion devices on IoT already
- Flipkart started off as a price comparison website.. But when they discovered that there are no portals to compare price, they decided to become one. Common floor started as coupon website
- India has 80 million people in rural areas, out of them 28 million are entrepreneurs and less than 10% has a website. A company making websites for Rs 5000 can become a billion dollar company by tapping this market.
- Any successful eCommerce venture in India can be easily replicated in Indonesia, as they have almost equal mindset and temperament,
- eCommerce portals in China have an average delivery time of 4 hours within the city and 48 hours anywhere in the world, including Antartica
- 75% of Hong Kong's population uses their metro service.. This includes several millionaires and billionaires
- Hong Kong has a population of 7.2 million, but receives 65 million tourists in a year
- You can start a business in Hong Kong with a startup capital of 1 HK$ and it takes just 60 minutes to incorporate it.
Creating a measurement plan in Google Analytics
Learn the five-step process for creating a measurement plan to track your online performance
Define meaningful goals, targets and segments
Understand how your business objectives will influence what you track in Google Analytics
Define meaningful goals, targets and segments
Understand how your business objectives will influence what you track in Google Analytics
Common Digital Strategies and KPI
Common Digital Strategies
Ecommerce --> Selling products or services
Lead Generation --> Collecting potential leads
Content Publisher --> Engagement and Frequent Visitation
Online Information --> Help Customers find information
Branding --> Awareness, Engagement and Loyalty
Ecommerce --> Selling products or services
Lead Generation --> Collecting potential leads
Content Publisher --> Engagement and Frequent Visitation
Online Information --> Help Customers find information
Branding --> Awareness, Engagement and Loyalty
Creating a measurement plan in Google Analytics
The measurement planning cycle consists of the following:
Implement your plan.
- Define your measurement plan.
- Document your business objectives.
- Identify the strategies and tactics to support the objectives.
- Choose the metrics that will be the key performance indicators.
- Decide how you’ll need to segment your data.
- Choose what your targets will be for your key performance indicators.
Create an implementation plan.
After defining your business needs and documenting the technical environment of your business, create an implementation plan that is specific to the analytics tool that you’re using. For Google Analytics, this means defining the code snippets and specific product features that you’ll need in order to track the data defined in your measurement plan.
Implement your plan.
The next step is to have the web development team, or the mobile team, actually implement the tracking recommendations that you’ve made. Some website technologies will require additional planning, such as:
Query string parameters
Server redirects
Flash and AJAX events
Multiple domains and subdomains
Responsive web design
The most common features used in a Google Analytics implementation plan for a website:
- Implement the standard Google Analytics tracking snippet. This gives you the bulk of the data you need.
- Determine how to track your KPIs. You can do this using goal tracking and the ecommerce module if you are an ecommerce business.
- Use filters to normalize your data so that your reports are accurate and useful.
- Use campaign tracking and AdWords linking to properly track marketing campaigns.
- Use custom dashboards and custom reports to simplify the reporting process.
Maintain and refine.
The final step of the measurement planning cycle is to maintain and refine your plan. Your business requirements and your technical environment can change over time. Without a team to maintain your measurement plan, your data won’t keep pace with your reporting needs.
Macro | Micro Conversion in Google Analytics | Attribution
A macro conversion occurs when someone completes an action that’s important to your business. For an ecommerce business, the most important macro conversion is usually a transaction.
A micro conversion is also an important action, but it does not immediately contribute to your bottom line. It’s usually an indicator that a user is moving towards a macro conversion. It’s important to measure micro conversions because it helps you better understand where people are in on the journey to conversion.
Attribution is assigning credit for a conversion. In last-click attribution, all of the value associated with the conversion is assigned to the last marketing activity that generated the revenue. However, there are other attribution models that can help you better understand the value of each of your channels. For example, rather than assign all of the value to the last channel, you might want to assign all of the value to the first channel, the one that started the user on the customer journey. This is called first-click attribution. Or, you might assign a little bit of value to each of the assisting channels in the customer journey.
A micro conversion is also an important action, but it does not immediately contribute to your bottom line. It’s usually an indicator that a user is moving towards a macro conversion. It’s important to measure micro conversions because it helps you better understand where people are in on the journey to conversion.
Attribution is assigning credit for a conversion. In last-click attribution, all of the value associated with the conversion is assigned to the last marketing activity that generated the revenue. However, there are other attribution models that can help you better understand the value of each of your channels. For example, rather than assign all of the value to the last channel, you might want to assign all of the value to the first channel, the one that started the user on the customer journey. This is called first-click attribution. Or, you might assign a little bit of value to each of the assisting channels in the customer journey.
What is Segmentation in Google Analytics?
Segmentation allows you to isolate and analyze subsets of your data. For example, you might segment your data by marketing channel so that you can see which channel is responsible for an increase in purchases. Drilling down to look at segments of your data helps you understand what caused a change to your aggregated data.
Examples:
You can segment your data by date and time, to compare how users who visit your site on certain days of the week or certain hours of the day behave differently.
You can segment your data by device to compare user performance on desktops, tablets and mobile phones.
You can segment by marketing channel to compare the difference in performance for various marketing activities.
You can segment by geography to determine which countries, regions or cities perform the best.
And you can segment by customer characteristics, like repeat customers vs. first-time customers, to help you understand what drives users to become loyal customers.
Examples:
You can segment your data by date and time, to compare how users who visit your site on certain days of the week or certain hours of the day behave differently.
You can segment your data by device to compare user performance on desktops, tablets and mobile phones.
You can segment by marketing channel to compare the difference in performance for various marketing activities.
You can segment by geography to determine which countries, regions or cities perform the best.
And you can segment by customer characteristics, like repeat customers vs. first-time customers, to help you understand what drives users to become loyal customers.
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