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Improve Your Conversions By Syncing Voice Search and PPC Campaigns



More and more people are now getting comfortable with using voice searches and virtual assistants in their day-to-day lives. In the UK, a recent report from Ofcom found that one in every eight households now has a smart speaker and the capabilities of these machines is only set to improve in the coming years. Voice search is also now becoming a more natural and common way to shop and interact with brands. You can tell your smart device to order food to your front door, add an item to your shopping cart or ask where your nearest physical store is all using just vocal commands. It is a growing opportunity for businesses to optimise their voice search campaigns and truly capitalise on this to improve conversions.

What is Voice Search Advertising?

Firstly, let’s quickly explain what voice search is. Essentially it’s when a user conducts a search using their physical voice on a personal device, for example, HomePod, Google Home or Amazon’s Echo. The device will process the question or demand and then verbally reply.

But this leads us to some important question that will need to answering, namely, are Google voice search ads the future of your marketing campaigns and how will it affect your PPC strategies?

How Voice Search, SEO and PPC Strategies Go Together?

Understanding just how voice search will impact the PPC advertising sector could be crucial in order to improve conversions. A Google voice search campaign, SEO strategy and PPC approach should not be viewed as isolated entities, instead, they can be effectively synchronised to drive success. Technology is rarely ever stationary and it is perpetually evolving. As it does this, your digital marketing strategies need to be best orientated to meet those changes. Voice search is already a very prominent part of people’s daily lives and it is only set to increase as this technology develops. Adapting your PPC campaign and SEO approach to perform well with respect to voice searches is vital to ensure you stay ahead of your closest competitors. In today’s market, knowing how to optimise your retail brand for voice search is more important than ever before.

Tips on How to Optimise Your PPC Campaigns for Voice Search

1. Be Natural

This one is first for is a reason. It cannot be overstated enough that a huge part of utilising voice search is to use natural language. People will type a search into Google in a different way than would do verbally. Seeing repeated success through voice search for your PPC campaign must involve the incorporation of natural language.

If you want to appear in voice results, you must consider how your audience verbally searches for things. This can include factors such as the way people phrase and pose questions. In a typed search, they may put ‘flower shop delivery’ but searching verbally, it might become ‘flower shops that deliver’. This may seem like an impossibly small detail, but it can be all the difference between improving your conversions and falling behind to competitors. PPC campaigns that are optimised to include natural-sounding language and questions will always produce better results.

2. Long-Tail Keywords

Users utilising voice searches will typically use more words in their queries and tend to ask more complete and grammatically-correct questions or phrases. So while they may type ‘Indian restaurant near me’ they will more likely say ‘What are some Indian restaurants that are near me?’ out loud.

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When people conduct voice searches, they will frequently use words like who, what, where, why, when, and how so considering the effects that posing questions can have on your long-tail keywords is important in relation to your PPC campaign. As well as this, words like “for” and “to” are incredibly common in voice searches so this will also affect your overall approach. With 65% of voice searches being conversational in tone, targeting long-tail keywords can help reach valuable leads.

3. Stay Local

Typically, voice search is used to find information about local businesses. People search for restaurants, shops, and any other relevant locations with their devices so performing well in relation to voice searches means thinking on a local scale first.

Using long-tail location keywords is a great way to draw in users. Keywords like “sushi near Clapham” will draw in local customers that are specifically looking in a certain city or town, as most voice search users will be doing.

Another way to optimise for voice searches is by the inclusion of keywords relating to landmarks near your business. So if you had a business near a train station or famous landmark, optimising searches such as ‘Where can I find a coffee shop near King’s Cross Station’ would be a no brainer. Staying local is a surefire way to achieve national success.

4. Focus On the Buying Cycle

Depending on what stage of the buying cycle a potential customer is in will affect how they ask a question. Firstly, the buying cycle can be broken down into four sections:

  • Awareness
  • Consideration
  • Evaluation
  • Purchase

Generally, when people ask “who” or “what” questions they are at the beginning of the buying cycle where they want to learn information about a product. In a voice search, questions involving “when” and “where” usually indicate they are closer to converting as they want to find out business hours, delivery timeframes and other important information pertaining to a product. Understanding where in the cycle your customer is and how it will change their voice search will need to be considered during the creation of your marketing campaign to achieve the best ROI.

5. Be Mobile Friendly

People are going to visit your mobile site more than your regular site when they perform a voice search. With a voice search, users will often receive a link to their personal device which they can click on to find more information. In the majority of cases, this will be a mobile device and if your site isn’t fully optimised for mobile, these will be leads you will lose more often than not. A mobile-friendly site will eventually lead to improved results with respect to your voice search PPC campaign.

Why Voice Search is the Future of Paid Ads

It cannot be denied: The voice search future is here. More and more people are use device that includes Siri, Google Assistant or Alexa on a daily basis. This is a major way that users are interacting with brands and if you are not utilising it effectively it can mean you are losing out a huge number of potential leads. It is predicted that by the end of this year, half of all online searches will be voice searches and voice shopping as a whole is set to rise to $40 billion by 2022. This is what the landscape is changing too and if you are not ready to embrace it you will be at a significant disadvantage in relation to your competitors. Syncing voice search with your PPC campaign is more important than ever before.

Author: Sabrina Sedicot

Sabrina Sedicot is an experienced marketer, focussing on all things digital. She works for Appnova, a creative design agency based in London and Rome. She works on projects across UX/ UI design, eCommerce, Branding & Content Production. She’s inspired by all forms of digital storytelling and interested in creating tailored… View full profile ›

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What can ChatGPT do?



ChatGPT Explained

ChatGPT is a large language model developed by OpenAI that is trained on a massive amount of text data. It is capable of generating human-like text and has been used in a variety of applications, such as chatbots, language translation, and text summarization.

One of the key features of ChatGPT is its ability to generate text that is similar to human writing. This is achieved through the use of a transformer architecture, which allows the model to understand the context and relationships between words in a sentence. The transformer architecture is a type of neural network that is designed to process sequential data, such as natural language.

Another important aspect of ChatGPT is its ability to generate text that is contextually relevant. This means that the model is able to understand the context of a conversation and generate responses that are appropriate to the conversation. This is accomplished by the use of a technique called “masked language modeling,” which allows the model to predict the next word in a sentence based on the context of the previous words.

One of the most popular applications of ChatGPT is in the creation of chatbots. Chatbots are computer programs that simulate human conversation and can be used in customer service, sales, and other applications. ChatGPT is particularly well-suited for this task because of its ability to generate human-like text and understand context.

Another application of ChatGPT is language translation. By training the model on a large amount of text data in multiple languages, it can be used to translate text from one language to another. The model is able to understand the meaning of the text and generate a translation that is grammatically correct and semantically equivalent.

In addition to chatbots and language translation, ChatGPT can also be used for text summarization. This is the process of taking a large amount of text and condensing it into a shorter, more concise version. ChatGPT is able to understand the main ideas of the text and generate a summary that captures the most important information.

Despite its many capabilities and applications, ChatGPT is not without its limitations. One of the main challenges with using language models like ChatGPT is the risk of generating text that is biased or offensive. This can occur when the model is trained on text data that contains biases or stereotypes. To address this, OpenAI has implemented a number of techniques to reduce bias in the training data and in the model itself.

In conclusion, ChatGPT is a powerful language model that is capable of generating human-like text and understanding context. It has a wide range of applications, including chatbots, language translation, and text summarization. While there are limitations to its use, ongoing research and development is aimed at improving the model’s performance and reducing the risk of bias.

** The above article has been written 100% by ChatGPT. This is an example of what can be done with AI. This was done to show the advanced text that can be written by an automated AI.

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Google December Product Reviews Update Affects More Than English Language Sites? via @sejournal, @martinibuster



Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.

Google December 2021 Product Reviews Update

On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.

The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.

A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:

“Mainly relevant to sites that post articles reviewing products.

Think of sites like “best TVs under $200″.com.

Goal is to improve the quality and usefulness of reviews we show users.”


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Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.

The first best practice was a requirement of evidence that a product was actually handled and reviewed.

The second best practice was to provide links to more than one place that a user could purchase the product.

The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.

Google’s Mueller Thinking About Product Reviews Update

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Product Review Update Targets More Languages?

The person asking the question was rightly under the impression that the product review update only affected English language search results.


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But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.

This is his question:

“I was seeing some movements in German search as well.

So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.

…My question is, is it possible that the product reviews update affects other sites as well?”

John Mueller answered:

“I don’t know… like other languages?

My assumption was this was global and and across all languages.

But I don’t know what we announced in the blog post specifically.

But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.

I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.

But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.

And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.

So I’m not particularly surprised that you see changes in Germany.

But I also don’t know what we actually announced with regards to the locations and languages that are involved.”

Does Product Reviews Update Affect More Languages?

While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.

Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.

One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.

It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.


Google Blog Post About Product Reviews Update

Product reviews update and your site

Google’s New Product Reviews Guidelines

Write high quality product reviews

John Mueller Discusses If Product Reviews Update Is Global

Watch Mueller answer the question at the 14:00 Minute Mark

[embedded content]

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Survey says: Amazon, Google more trusted with your personal data than Apple is




MacRumors reveals that more people feel better with their personal data in the hands of Amazon and Google than Apple’s. Companies that the public really doesn’t trust when it comes to their personal data include Facebook, TikTok, and Instagram.

The survey asked over 1,000 internet users in the U.S. how much they trusted certain companies such as Facebook, TikTok, Instagram, WhatsApp, YouTube, Google, Microsoft, Apple, and Amazon to handle their user data and browsing activity responsibly.

Amazon and Google are considered by survey respondents to be more trustworthy than Apple

Those surveyed were asked whether they trusted these firms with their personal data “a great deal,” “a good amount,” “not much,” or “not at all.” Respondents could also answer that they had no opinion about a particular company. 18% of those polled said that they trust Apple “a great deal” which topped the 14% received by Google and Amazon.

However, 39% said that they trust Amazon  by “a good amount” with Google picking up 34% of the votes in that same category. Only 26% of those answering said that they trust Apple by “a good amount.” The first two responses, “a great deal” and “a good amount,” are considered positive replies for a company. “Not much” and “not at all” are considered negative responses.

By adding up the scores in the positive categories,

Apple tallied a score of 44% (18% said it trusted Apple with its personal data “a great deal” while 26% said it trusted Apple “a good amount”). But that placed the tech giant third after Amazon’s 53% and Google’s 48%. After Apple, Microsoft finished fourth with 43%, YouTube (which is owned by Google) was fifth with 35%, and Facebook was sixth at 20%.

Rounding out the remainder of the nine firms in the survey, Instagram placed seventh with a positive score of 19%, WhatsApp was eighth with a score of 15%, and TikTok was last at 12%.

Looking at the scoring for the two negative responses (“not much,” or “not at all”), Facebook had a combined negative score of 72% making it the least trusted company in the survey. TikTok was next at 63% with Instagram following at 60%. WhatsApp and YouTube were both in the middle of the pact at 53% followed next by Google and Microsoft at 47% and 42% respectively. Apple and Amazon each had the lowest combined negative scores at 40% each.

74% of those surveyed called targeted online ads invasive

The survey also found that a whopping 82% of respondents found targeted online ads annoying and 74% called them invasive. Just 27% found such ads helpful. This response doesn’t exactly track the 62% of iOS users who have used Apple’s App Tracking Transparency feature to opt-out of being tracked while browsing websites and using apps. The tracking allows third-party firms to send users targeted ads online which is something that they cannot do to users who have opted out.

The 38% of iOS users who decided not to opt out of being tracked might have done so because they find it convenient to receive targeted ads about a certain product that they looked up online. But is ATT actually doing anything?

Marketing strategy consultant Eric Seufert said last summer, “Anyone opting out of tracking right now is basically having the same level of data collected as they were before. Apple hasn’t actually deterred the behavior that they have called out as being so reprehensible, so they are kind of complicit in it happening.”

The Financial Times says that iPhone users are being lumped together by certain behaviors instead of unique ID numbers in order to send targeted ads. Facebook chief operating officer Sheryl Sandberg says that the company is working to rebuild its ad infrastructure “using more aggregate or anonymized data.”

Aggregated data is a collection of individual data that is used to create high-level data. Anonymized data is data that removes any information that can be used to identify the people in a group.

When consumers were asked how often do they think that their phones or other tech devices are listening in to them in ways that they didn’t agree to, 72% answered “very often” or “somewhat often.” 28% responded by saying “rarely” or “never.”

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