Advertising

Utilising Automation in Online Advertising

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Online advertising has become an essential aspect of digital marketing in the modern era. With billions of people using the internet daily, companies are able to reach a larger audience and attract more customers by advertising online.

However, advertising on the internet can be time-consuming and expensive, especially for small businesses. Fortunately, automation has emerged as a powerful tool that businesses can utilise to make their online advertising efforts more efficient and effective.

In this article, we will discuss how businesses can benefit from utilising automation in online advertising.

Increase your advertising campaigns Efficiency

Automation’s primary benefit is its ability to increase efficiency. Automation can streamline processes such as ad creation, campaign management and performance tracking. Tools such as AdEspresso, AdRoll and AdZis use automation to create and test ads quickly, reducing the time and resources needed to create effective ads.

Automated campaign management tools can save businesses time by automating various aspects of the campaign. Automated bidding algorithms, for example, optimise bids to maximise ROI while minimising cost per click. These tools also provide automated reporting which helps businesses track and measure the performance of their campaigns with ease.

Improve your marketing campaigns targeting

Utilising automation in online advertising can improve targeting. Automation tools can analyse vast amounts of data, revealing patterns and insights that humans may not have detected. This analysis can help businesses create highly targeted ads that are more likely to reach their intended audience.

For example, Facebook Ads uses automation to analyse user data and create highly targeted segments based on demographics and interests. This automation can help businesses to increase their revenue by showing their ads to high intent audiences.

Businesses can use automation to improve targeting by implementing automated retargeting tools. These tools, such as AdRoll and Google Ads, can analyse user behaviour and display specific ads to specific people based on their previous interactions with the brand.

Cost Savings

The use of automation in online advertising can help businesses save money. Automation can help reduce the time needed to manage campaigns and the resources needed to run them. For example, automated bidding algorithms can maximise ROI while minimising cost per click by automatically optimising bids. This automation can help businesses reduce the cost of advertising and increase their return on investment.

Automated reporting tools can help businesses reduce the amount of manual reporting required, saving both time and money. Automated reporting tools generate reports quickly and accurately, reducing the time and resources needed to compile reports manually.

In conclusion, the use of automation in online advertising can benefit businesses in many ways. Automation can increase efficiency, improve targeting, and reduce costs. With automation, businesses can streamline their advertising efforts, create highly targeted ads, and reduce the resources needed to manage campaigns. In today’s digital landscape, using automation in online advertising can help businesses stay competitive and reach their target audience with ease.

SEO

Voice Search optimisation with Conversational Keywords

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- SEO

The landscape is changing with regard to how people search for information. Now, more people are using voice search to find answers to their questions. This advancement is affecting SEO by moving individuals away from traditionally used search engines and into conversational search.

Conversational Keywords and Voice Search Optimisation

As virtual assistants like Siri, Alexa, and Google Assistant have become more popular, voice search has gained popularity as a convenient and easy way for people to find information online. As a result, businesses need to optimise their websites for voice search to ensure that they appear in results when users search for information using their voice.

One important aspect of voice search optimisation is conversational keywords. These are the words and phrases that people use when they talk, rather than when they type a search query. These keywords are typically longer and more conversational than traditional keywords, and they help search engines understand the user’s intent better.

How Conversational Keywords Work in Voice Search

Voice search queries differ from text-based queries because people use natural language and conversational tone when they speak. For example, instead of typing “best restaurants in New York City,” someone might ask their virtual assistant, “What are some good restaurants to try in NYC?” As a result, conversational keywords play a significant role in voice search optimisation.

When optimising for voice search, it’s important to understand the types of conversational keywords that people use. These include question words like “who,” “what,” “where,” “when,” and “why,” as well as prepositions like “in,” “on,” and “near.” People also use long-tail keywords, which are longer phrases that target a particular audience or niche.

How to Identify Conversational Keywords for Voice search optimisation?

When optimising for voice search, it is important to understand how people use natural language when speaking and then choose keywords and phrases that match those patterns. Here are some tips to help you identify conversational keywords:

1. You can use natural language tools, such as Answer the Public, SEMrush, and Google’s Keyword Planner to identify conversational phrases and questions related to your target keywords.

2. When optimising your website for voice search, think about the intent behind the query and use the most natural language possible. For example, a user might ask “What’s the best sushi restaurant near me?” instead of typing “sushi restaurant” into a search engine.

3. When targeting voice search queries, consider long-tail keywords. These are longer and more specific keyword phrases that people use when they are looking for something very specific. They are often more conversational in nature and can help you target voice search queries more effectively.

4. When creating content, use natural language that matches the way people speak. The phrases and questions that you use can help optimise your content for voice search.

5. Look at the analytics for your website. Analyse the search terms that people use to find your site, and identify conversational keywords that are already driving traffic. This will give you insights into what your audience is searching for and how they phrase their queries.

Conversational search is gaining momentum, and Google has provided some insight into how it can be used. What does this mean for marketers? What were previously known as search engine optimization best practices may need to be changed because many current SEO strategies will not work with voice search.

This is important because of the sheer amount of human beings moving from traditional search to conversational search. As more people start using voice search on devices like smartphones and smart speakers, businesses need to adapt their content to appeal to this rising audience by making their websites as optimised as possible–and that starts with optimising for conversational keywords.

App, SEO

What is App Store Optimisation (ASO)

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- App, SEO

The mobile app industry is growing at an incredible pace. With the advent of smartphones, there is a mobile app for nearly everything, and if there is not, it will soon be developed. As the number of apps has increased, it has become increasingly difficult for app owners to attract new users. App owners may need to consider an aggressive advertising strategy, but their profitability will be affected by doing so. As a result, app owners should implement an App Store Optimization (ASO) strategy to increase their app’s visibility.

What is ASO or App Store Optimisation?

App Store Optimisation (ASO) refers to the process of optimising a mobile app store page to increase its visibility (and therefore your app visibility) and boost organic app instals. App Store Optimisation (ASO), a component of mobile app marketing and advertising, involves several actions such as creating titles and descriptions, based on keywords search that help mobile apps rank higher in search results and be more discoverable by users. It’s similar to the optimisation of websites (SEO) for search engines.

How to start your ASO strategy?

User queries and keywords research

The first step in ASO is to identify the keywords that are relevant to your app. This involves identifying queries used to find your product. To build your keywords list, you can ask yourself the following questions:

What users are typing in the search bar when they are looking for your product?

What are the problems your app is solving?

What are the keywords used by competitors and other apps in the same category?

It is necessary to categorise and rank your keywords so that you can determine the keywords you will use for optimisation purposes.

App store page content

When it comes to App Store Optimization (ASO), the importance of your content does not lie in its word count. Once you determine what keywords you want to rank for, place them in three important places: Your app name, URL and subtitle. Then comes the description. The description should include longer phrases that contain the keywords but are not solely made up of them. Most app stores allow app owners to list keywords they would like to rank for in a keyword field on their app’s page. Add the most important keywords from the list you created earlier.

App downloads

App install traffic impacts your app’s ranking in the app store. The more installs you have, the better your ranking will be. Combining ASO with other user acquisition tactics such as advertising can help achieve this goal.

It is also important to clearly convey what your product does and how it benefits the user. To draw in new users, make attractive and engaging creatives such as product videos and app screens. These should be designed to entice users to try the app. Include a detailed description of your app’s features in the product description. This should encourage potential users to download the app.

App rating and reviews

Yes, what users think of your app matters. Higher ratings can help you rise in the app store rankings.

Asking for positive customer feedback is not always easy, but you can increase the likelihood of receiving it by listening to your customers and constantly improving your product.

You can also reach out to your users via your usual email campaigns or create a specific one. You can also create in-app messages asking your users to rate and review your app while they are using it.

Monitoring and optimisation

Finally, the app should be regularly monitored to ensure it is performing well in the app store. This can be done by tracking downloads, user reviews, and other metrics. Many solutions such as data.ai can give you clear insight on how your app is performing for specific keywords and territories. These solutions also provide you insight about your competitors’ performance.

App store optimisation is a long process with many adjustments along the way. You should constantly monitor your app’s performance and user behaviour to find new opportunities.

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