Shopify is one of the popular and powerful cloud-based e-Commerce platforms. Thousands of businesses all over the world run their eCommerce business using Shopify platform.
from Blogs http://ift.tt/1OC4gyA
via IFTTT
Friday, January 22, 2016
Exciting things about Shopify!
Exciting things about Shopify!
Shopify is one of the popular and powerful cloud-based e-Commerce platforms. Thousands of businesses all over the world run their eCommerce business using Shopify platform.
from Blogs http://ift.tt/1OC4gyA
Saturday, January 9, 2016
Integrate Magento with MongoDB
Magento is one of the most popular eCommerce development platforms. But when the product skus increases beyond a couple of millions, its performance is hampered. Basically Magento uses MySQL database where all data related to products, customers, sales etc. are stored.
from Blogs http://ift.tt/22RJEKf
Integrate Magento with MongoDB
Magento is one of the most popular eCommerce development platforms. But when the product skus increases beyond a couple of millions, its performance is hampered. Basically Magento uses MySQL database where all data related to products, customers, sales etc. are stored.
from Blogs http://ift.tt/22RJEKf
via IFTTT
Monday, December 28, 2015
Methods to improve click through rates in eCommerce marketing emails
Generally, there is a high probability of a sale in an eCommerce site, when customers visit the site via email marketing campaigns. Yet, the use of smartphones have made a considerable shift in this buying pattern. The click through rates have considerable decreased, when the customer opens the marketing email in his smartphone. There are some important reasons for this decline.
from Blogs http://ift.tt/1mL807I
Methods to improve click through rates in eCommerce marketing emails
Generally, there is a high probability of a sale in an eCommerce site, when customers visit the site via email marketing campaigns. Yet, the use of smartphones have made a considerable shift in this buying pattern. The click through rates have considerable decreased, when the customer opens the marketing email in his smartphone. There are some important reasons for this decline.
from Blogs http://ift.tt/1mL807I
via IFTTT
Wednesday, October 14, 2015
How to make sure you improve your eCommerce Sales during the Holiday Season?
As you see that we are quickly nearing the holiday season, which determines the profitability of a company, you should make key decisions for an efficient holiday season eCommerce operations.
from Blogs http://ift.tt/1QssScT
via IFTTT
How to make sure you improve your eCommerce Sales during the Holiday Season?
As you see that we are quickly nearing the holiday season, which determines the profitability of a company, you should make key decisions for an efficient holiday season eCommerce operations.
from Blogs http://ift.tt/1QssScT
Friday, August 28, 2015
Multi-channel analysis
Now let’s look at another way to evaluate traffic channels. Rather than measuring success based on last-click conversions and revenue, we can evaluate channels based on how they assisted other channels in generating revenue.
A good example is display advertising, since display often helps other channels generate transactions and revenue by engaging users early in the buying cycle. Assisted conversions and assisted revenue are important ways to measure brand-based marketing or any marketing not intended to drive direct conversions.
We can use the Attribution Modeling tool to understand the overall value for channels and marketing activities that assist with conversions.
For multi-channel analysis, we’ll want to know:
- Which channels engage customers throughout the buying cycle?
- How do our marketing channels and campaigns work together to generate conversions and revenue?
- Are there any specific channels, campaigns, or any specific parts of a campaign that are underperforming?
- What is the value of our investment for channels that don’t generate direct conversions?
Customer profile analysis
In addition to understanding The Great Outdoor’s daily website traffic, our marketing manager wants to learn more about the store’s purchasing customers and their interests. This information can help improve future audience targeting, ad messaging, and overall marketing strategy.
We can use Google Analytics to better understand:- What was the behavior of users that converted versus those that didn’t?
- What were the demographic characteristics of users that converted versus those that didn’t?
- What were the technology platforms that made it harder for users to convert?
- And what are other characteristics of users that converted?
from Blogs http://ift.tt/1fKvOEK
Multi-channel analysis
Now let’s look at another way to evaluate traffic channels. Rather than measuring success based on last-click conversions and revenue, we can evaluate channels based on how they assisted other channels in generating revenue.
A good example is display advertising, since display often helps other channels generate transactions and revenue by engaging users early in the buying cycle. Assisted conversions and assisted revenue are important ways to measure brand-based marketing or any marketing not intended to drive direct conversions.
We can use the Attribution Modeling tool to understand the overall value for channels and marketing activities that assist with conversions.
For multi-channel analysis, we’ll want to know:
- Which channels engage customers throughout the buying cycle?
- How do our marketing channels and campaigns work together to generate conversions and revenue?
- Are there any specific channels, campaigns, or any specific parts of a campaign that are underperforming?
- What is the value of our investment for channels that don’t generate direct conversions?
Customer profile analysis
In addition to understanding The Great Outdoor’s daily website traffic, our marketing manager wants to learn more about the store’s purchasing customers and their interests. This information can help improve future audience targeting, ad messaging, and overall marketing strategy.
We can use Google Analytics to better understand:- What was the behavior of users that converted versus those that didn’t?
- What were the demographic characteristics of users that converted versus those that didn’t?
- What were the technology platforms that made it harder for users to convert?
- And what are other characteristics of users that converted?
from Blogs http://ift.tt/1fKvOEK
via IFTTT
Friday, August 21, 2015
Understanding Customers
Traffic source analysis
we’ll perform an in-depth analysis on how well The Great Outdoors is targeting and acquiring customers. To begin, let's look at the Marketing Director's dashboard. It's immediately apparent that revenue is down significantly compared to this time last year.
from Blogs http://ift.tt/1EI6J3M
via IFTTT
Understanding Customers
Traffic source analysis
we’ll perform an in-depth analysis on how well The Great Outdoors is targeting and acquiring customers. To begin, let's look at the Marketing Director's dashboard. It's immediately apparent that revenue is down significantly compared to this time last year.
from Blogs http://ift.tt/1EI6J3M
Thursday, August 13, 2015
Ecommerce Analytics: From Data to Decisions part-II
Analysis Preparation
Introduction to segmentationOne of the most important Google Analytics tools you can use for in-depth analysis is segmentation. When you apply a segment, you are essentially filtering your data in real time. Segmentation lets you isolate and compare subsets of Analytics data, so you can see which segments may be under-performing.
from Blogs http://ift.tt/1DMZBbr
Ecommerce Analytics: From Data to Decisions part-II
Analysis Preparation
Introduction to segmentationOne of the most important Google Analytics tools you can use for in-depth analysis is segmentation. When you apply a segment, you are essentially filtering your data in real time. Segmentation lets you isolate and compare subsets of Analytics data, so you can see which segments may be under-performing.
from Blogs http://ift.tt/1DMZBbr
via IFTTT
Saturday, August 8, 2015
Ecommerce Analytics: From Data to Decisions part-I
Introduction to Ecommerce Analysis
Discover useful reporting and analysis techniques to help your ecommerce business make informed decisions using Google Analytics data. In this self-paced online course, you’ll immerse yourself in the measurement planning process and practice navigating Google Analytics to improve the performance of an example ecommerce business.
from Blogs http://ift.tt/1T4x9se
Ecommerce Analytics: From Data to Decisions part-I
Introduction to Ecommerce Analysis
Discover useful reporting and analysis techniques to help your ecommerce business make informed decisions using Google Analytics data. In this self-paced online course, you’ll immerse yourself in the measurement planning process and practice navigating Google Analytics to improve the performance of an example ecommerce business.
from Blogs http://ift.tt/1T4x9se
via IFTTT
Friday, July 31, 2015
How to boost customer service and sales with online chat?
eCommerce sales are expected to increase by 20% every year. This is a tremendous opportunity for Retail eCommerce store owners to grow their customers' database by providing a best-in-class customer service within the online store.
from Blog http://ift.tt/1OT72ik
via IFTTT
How to boost customer service and sales with online chat?
eCommerce sales are expected to increase by 20% every year. This is a tremendous opportunity for Retail eCommerce store owners to grow their customers' database by providing a best-in-class customer service within the online store.
from Blog http://ift.tt/1OT72ik
Thursday, July 23, 2015
Does your retail business sell its products online or in-store?
If you answered both, you are moving in the right direction. But if you answered "only in-store," you're losing behind.
Consumers expect several options when they shop, and if you're not offering those options, your customers may en route to a more tech-savvy competitor.
from Blog http://ift.tt/1CWt4im
via IFTTT
Does your retail business sell its products online or in-store?
If you answered both, you are moving in the right direction. But if you answered "only in-store," you're losing behind.
Consumers expect several options when they shop, and if you're not offering those options, your customers may en route to a more tech-savvy competitor.
from Blog http://ift.tt/1CWt4im