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google marketing platform guideline

A Guide To Boost Sales Through Google Marketing Platform

In this article, I’ll focus to talk about a guide to boost sales through Google marketing platform. No matter you are running an online retail store, selling B2B solutions, or operating a restaurant offline, I think you can learn from my guide to leverage Google marketing platform resources to analyse sale performance, optimise the performance and implement integrated strategies to boost sales at the end.

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Python Tutorial 59 – Using Python and Gmail SMTP to Automate Sending Personalised Emails

From a marketing perspective, organic traffic is not just limited to SEO. Conversely, it covers a wide range of traffic sources as long as the majority percentage of investment is focused on manpower. They can be social media, partnership, VoD, email and so on. Compared to these channels in terms of organic traffic, email marketing is still the most efficient approach in one-to-one conversation marketing with a higher new customer conversion rate and lower cost per retention notably in the eCommerce and B2B sectors.

Basically we have two options out there if leveraging the magic of email marketing – Paid and Free platform. If a long term investment return is your preference rather than you being restricted by the platform recurring payment fees, this article can fit your stomach.

This piece expands on how to save 90% of your manual email marketing campaign time by using Gmail and Python script. By the end of this article, you and your team can write a Python script to build an email blast system using Gmail.

python tutorial

Python Tutorial 25: Create a Python GUI App with Tkinter Using Google SERP Bot Scripts

UI and UX Marketing integrates the sales, order, and reporting processes in a single user interface. This straightforward interface makes the complicated simple by using Python GUI App. This concept and mindset are not only applied to customer communication and engagement. But also UI and UX marketing is not only for customers. Before marketing things launch, one of the most important sections is intelligent research and setting up an automation process. Don’t torture yourself by only using a raw script. You and your fellows can have a better Python graphic user interface.

python tutorial

Python Tutorial 19: Automate Refreshing SEO Google Sheets Dashboard with New and Existing Keywords Performance from Google Search Console

SEO keyword insight is pretty valuable for any webmasters. The existing ranked keywords’ avg position performance month by month let you understand how’s going of your content marketing strategy. What is more, new keywords popping up in the search console inspire you with the new content perspective and long-tail keywords to utilize. It’s kind of a no-brainer, but the thing is how to organize the process and automate the process which grabs the SEO insight. This is the value you can gain from this piece.

python tutorial

Python Tutorial 11: Google SERP Bot to Scrape SERP via Search API and Custom Search Engine

I believe we can’t live without search engine channels in life and work. Depending on countries, Google, Yahoo, Naver, Baidu, and so on have been part of the body. Every coin has two sides because marketers might be suffering from overusing search engines to research the market and competitor information. We’re feeling dizzy while watching the screen in front of the laptop for a long day at work.

In this article, I would introduce you to a way to scrape all search result information by using Python, Pandas, Google custom search API, and CSE (custom search engine). By the end of this article, you just need to add keywords, you can find potential publishers, bloggers, competitors, and popular content, download the images, etc, and store the information with title, landing URL, and so on information into a local CSV.file.

google trends api

Python Tutorial 9: Big Picture Matters, How to Pull Data from Google Trends API via Pytrends

In the previous Python Tutorial for digital marketers, I talked about leveraging Shopify APIs to scrape the competitors’ product feed and monitor up-to-trend products and pricing from there, for the purpose to adjust tactics and keep your business cutting-edge from the same selling marketplaces.

In a way, the product feed is not sufficient to understand the market demand, because you might not want to anchor a dot, where they’re selling low-demand products, or the product trend has been going down. Then, unfortunately, you test along with these sellers and lose money at the end, because you just follow without further step analyzing the big picture.

The big picture is critical in the business battleground, and the end consumer search trend is a key implication to tell you how’s the demand going out there, and what topics they are looking for.

In this piece of Python Tutorial, I would walk through how to pull search data from Google Trends API via Pytrends, then people can learn the data that is integrated with your in-house database, and identify the opportunities. By the end of this Python Tutorial, you can master how to install Pytrends and necessary modules, what available API methods and parameters you can leverage to scrape available data, and custom the data sheet based on actual needs.

Python Tutorial 7: Save Web Scraping Data through Google Sheets API

In the previous Python Tutorial, we talked about how to scrape more than 50 videos from a Youtube search query keyword, and also grab the performance of each video, such as view, comment, like, etc. However, it’s not the end of automation power, like saying you aim to research, filter Youtubers, and automate the collaboration invitation process. At least, the fetched list of Youtubers should be saved and managed in a datasheet on a cloud drive instead of in the CSV file, that can be set up and easily integrated with other platforms.

So in this Python Tutorial, I will continue to use the Python script from the Python Tutorial Chapter 6, and walk you through how to create a Robot user account, leverage Google Sheet API to save all fetched data in a Google Sheet In your web scraping python script. By the end of this Python Tutorial, you can learn what modules you need to set up, and experience just looking at a spreadsheet that is automatically listing all videos in a preset format.