How I can track shopify customer data journey for my own website to present right offers to customer ?

 There are several ways you can track customer data and use it to present personalized offers to customers on your Shopify website:

1. Use the Shopify Customer API: This API allows you to retrieve information about customers, including their purchase history, and use it to create personalized offers.

2. Use Shopify's built-in customer segments: You can use Shopify's built-in customer segments to segment your customers based on various criteria, such as location or purchase history, and then use this information to create personalized offers.

3. Use a customer data platform (CDP): A CDP is a software platform that allows you to collect, manage, and activate customer data across multiple channels and devices. With a CDP, you can create customer profiles that include data from multiple sources, such as online and offline interactions, and use this information to create personalized offers.

4. Use a marketing automation tool: Marketing automation tools allow you to automate your marketing campaigns and send personalized emails to customers based on their behavior and interests. You can use these tools to create targeted email campaigns and present personalized offers to customers.

Regardless of which approach you choose, it's important to ensure that you are complying with data privacy laws and regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). You should also make sure to obtain customer consent before collecting and using their personal data.

How I can generate more leads for my hotel booking through using digital channels ?

There are several ways you can generate leads for your hotel booking through digital channels:

1.       Optimize your website: Make sure that your website is up-to-date and easy to navigate, as this will help to attract more visitors and convert them into leads.

 

2.       Use social media: Use social media platforms such as Facebook, Instagram, and Twitter to promote your hotel and its services. Make sure to post regular updates and engage with your followers to build a community around your brand.

 

3.       Use email marketing: Use email marketing to reach out to potential guests and promote your hotel's services. Make sure to segment your email list and personalize your emails to increase their effectiveness.

 

4.       Use paid advertising: Consider using paid advertising platforms such as Google AdWords and Facebook Ads to reach a wider audience and drive more traffic to your website.

 

5.       Optimize for search engines: Make sure that your website is optimized for search engines so that it appears at the top of search results when people search for hotels in your area. This can be done through search engine optimization (SEO) techniques such as keyword research and on-page optimization.

 

6.       Offer special deals and promotions: Consider offering special deals and promotions to attract potential guests and encourage them to book with you.

 

7.       Collaborate with local businesses and tourist attractions: Partner with local businesses and tourist attractions to offer package deals and attract more visitors to your area.

 

8.       Use online travel agencies (OTAs): Consider listing your hotel on online travel agencies (OTAs) such as Expedia and Booking.com, as these platforms can help you reach a wider audience and generate more leads.

 

By following these strategies, you should be able to generate more leads for your hotel booking through digital channels.

Idea of automation in digital marketing agency?

 

Automation in a digital marketing agency can refer to the use of technology and software tools to streamline and optimize various tasks and processes. Some examples of automation in a digital marketing agency may include:

 

Email marketing automation: Using tools to send personalized, automated emails to a large list of subscribers based on specific triggers, such as signing up for a newsletter or abandoning a shopping cart.

 

Social media automation: Scheduling and publishing social media posts in advance using tools like Hootsuite or Buffer.

 

Ad campaign automation: Using tools like Google Ads to set up and run automated ad campaigns based on specific targeting criteria and budget constraints.

 

SEO automation: Using tools like Ahrefs or SEMrush to automate keyword research, backlink analysis, and other SEO tasks.

 

 

 

 

Lead generation automation: Using tools like Leadformly or OptinMonster to create and publish customizable lead generation forms on a website, and then automating the process of capturing, storing, and following up with leads.

 

Content marketing automation: Using tools like HubSpot or Marketo to automate the distribution and promotion of blog posts, ebooks, and other content assets across various channels, such as social media, email, and paid advertising.

 

Website analytics and tracking automation: Using tools like Google Analytics to track and analyze website traffic and user behavior automatically, and then using that data to optimize marketing campaigns and improve the user experience.

 

Customer relationship management (CRM) automation: Using tools like Salesforce or Zoho CRM to manage and automate the process of tracking and interacting with customers, including tasks like lead scoring, segmentation, and personalized communication.

 

 

 

Landing page and form automation: Using tools like Unbounce or Leadpages to create and publish customizable landing pages and forms, and then automating the process of capturing and storing leads.

 

Influencer marketing automation: Using tools like Tribe or AspireIQ to automate the process of identifying, contacting, and collaborating with influencers on social media platforms.

 

Chatbot automation: Using tools like MobileMonkey or ManyChat to create and deploy chatbots on websites and social media platforms to automate customer interactions and support.

 

Marketing automation platform integration: Using tools like Zapier or Integromat to integrate various marketing automation tools and platforms, allowing for seamless communication and data transfer between different systems.

 

Reputation management automation: Using tools like Reputation.com or ReviewTrackers to automate the process of tracking and responding to online customer reviews and ratings across various platforms.

 

Personalization automation: Using tools like Qubit or Adobe Target to automate the process of delivering personalized content and experiences to website visitors based on their location, behavior, and other factors.

 

Lead nurturing automation: Using tools like Pardot or Act-On to automate the process of nurturing leads through the sales funnel with personalized communication and content based on their level of engagement and readiness to buy.

 

Event marketing automation: Using tools like Eventbrite or Cvent to automate the process of planning, promoting, and managing events, including tasks like registration, ticket sales, and email communication.

 

Customer segmentation automation: Using tools like Segment or Lytics to automate the process of dividing customers into different segments based on shared characteristics, allowing for more targeted and personalized marketing efforts.

 

Remarketing automation: Using tools like Google Ads or Facebook Ads to automate the process of targeting ads to website visitors who have previously shown interest in a product or service.

 

Customer service automation: Using tools like Zendesk or Freshdesk to automate the process of handling customer inquiries and complaints, including tasks like routing, prioritization, and resolution.

 

Video marketing automation: Using tools like Animoto or InVideo to automate the process of creating and editing professional-quality marketing videos, including tasks like selecting templates, adding images and text, and rendering the final product.

 

 

Overall, the goal of automation in a digital marketing agency is to save time, increase efficiency, and improve the accuracy and effectiveness of marketing campaigns. By automating certain tasks, digital marketers can focus on higher-level strategy and creative tasks, rather than getting bogged down in the details.

 

how to make sure mysql use more ram in window server

  find your .ini file and increase the limit in innodb_buffer_pool_size  and dont forget to restart the service. 

visual-studio-code-angular-node-prevent-debugger-from-stepping-into-library-cod

 https://code.visualstudio.com/updates/v1_8#_node-debugging 

https://code.visualstudio.com/updates/v1_8#_node-debugging 

How can I remove background from images using OpenCV python ?

import cv2

import numpy as np

#== Parameters =======================================================================

BLUR = 21

CANNY_THRESH_1 = 10

CANNY_THRESH_2 = 200

MASK_DILATE_ITER = 10

MASK_ERODE_ITER = 10

MASK_COLOR = (0.0,0.0,1.0) # In BGR format

#== Processing =======================================================================

#-- Read image -----------------------------------------------------------------------

img = cv2.imread('C:/Temp/person.jpg')

gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

#-- Edge detection -------------------------------------------------------------------

edges = cv2.Canny(gray, CANNY_THRESH_1, CANNY_THRESH_2)

edges = cv2.dilate(edges, None)

edges = cv2.erode(edges, None)

#-- Find contours in edges, sort by area ---------------------------------------------

contour_info = []

_, contours, _ = cv2.findContours(edges, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)

# Previously, for a previous version of cv2, this line was: 

#  contours, _ = cv2.findContours(edges, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)

# Thanks to notes from commenters, I've updated the code but left this note

for c in contours:

    contour_info.append((

        c,

        cv2.isContourConvex(c),

        cv2.contourArea(c),

    ))

contour_info = sorted(contour_info, key=lambda c: c[2], reverse=True)

max_contour = contour_info[0]

#-- Create empty mask, draw filled polygon on it corresponding to largest contour ----

# Mask is black, polygon is white

mask = np.zeros(edges.shape)

cv2.fillConvexPoly(mask, max_contour[0], (255))

#-- Smooth mask, then blur it --------------------------------------------------------

mask = cv2.dilate(mask, None, iterations=MASK_DILATE_ITER)

mask = cv2.erode(mask, None, iterations=MASK_ERODE_ITER)

mask = cv2.GaussianBlur(mask, (BLUR, BLUR), 0)

mask_stack = np.dstack([mask]*3)    # Create 3-channel alpha mask

#-- Blend masked img into MASK_COLOR background --------------------------------------

mask_stack  = mask_stack.astype('float32') / 255.0          # Use float matrices, 

img         = img.astype('float32') / 255.0                 #  for easy blending

masked = (mask_stack * img) + ((1-mask_stack) * MASK_COLOR) # Blend

masked = (masked * 255).astype('uint8')                     # Convert back to 8-bit 

cv2.imshow('img', masked)                                   # Display

cv2.waitKey()

#cv2.imwrite('C:/Temp/person-masked.jpg', masked)           # Save

how to blur background using opencv python

    import cv2

import numpy as np

img = cv2.imread("C:/my_pics/rahul.png")
blurred_img = cv2.GaussianBlur(img, (21, 21), 0)

mask = np.zeros((512, 512, 3), dtype=np.uint8)
mask = cv2.circle(mask, (258, 258), 100, np.array([255, 255, 255]), -1)

out = np.where(mask==np.array([255, 255, 255]), img, blurred_img)

cv2.imwrite("./out.png", out)