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Why You Need To Be Using Google Ads Bid Automation

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why you need to be using google ads bid automation

Bid automation is one of the top debated topics in the digital marketing industry. It’s not a matter of why you should be using automation, but how you are using it to achieve your goals and amplify growth efforts. Over the last few years, Google has recommended that advertisers move to automated bidding strategies to “take the heavy lifting and guesswork out of setting bids to meet your performance goals.” Though automated bidding isn’t perfect, it is a tactic that advertisers need to utilize.

Why Use Bid Automation?

Bid automation takes into account numerous bidding signals that aren’t visible to advertisers and uses machine learning to set appropriate bids. For example, advertisers can set bid modifiers for the time of the day, but not the browser that the searcher is using. These hidden signals are invaluable to advertisers because they help to decipher user intent as part of the bidding process. Manual bidding is slower, uses fewer signals, and is not conducted in real-time. When advertisers give Google the correct parameters and enough data, automated bidding can work effectively.

Two of the more common bidding strategies are Target Return On Ad Spend (tROAS) and Target Cost Per Acquisition (tCPA). With each strategy, you input what your target ROAS or CPA is and Google will optimize for this figure. You can enter your target in the bidding section of the settings. Google will give you a recommended figure if your campaign has enough data.

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An advertiser selling car parts may set a tROAS of 500% in a widget campaign as this figure is necessary to achieve profitability. The axle campaign may be set at a 300% tROAS as sales volume is more important than efficiency. By using these strategies, you need to have conversion tracking in place and have a value setup for these conversions (whether the value is dynamic or static).

The more data you can provide Google the better so the system can make the most informed decisions. For example, Google recommends that for the tROAS bid strategy, you have at least 50 conversions in the past 30 days. With these targets, you should be realistic about the goals. Setting a $30 tCPA in a campaign where the average CPC is $60 is unrealistic.

Once you set these targets, it doesn’t mean that they can’t change. In fact, you should be consistently reviewing the targets and changing as necessary. For example, there may be a sale on widgets where sales volume is now the main goal and efficiency is second. Bid automation unchecked will hurt performance.

When making changes, review at least the last 30 days of performance and/or the previous year’s data. Let’s review a SaaS provider with a tCPA of $125. Over the last 30 days, the campaign has seen a CPA of $120, 200 conversions, and an impression share of 70%. When looking at the forthcoming 30 days the year before, we see a CPA of $150, 250 conversions, and an impression share of 80%. Though we’re currently under our tCPA, we have the potential to see additional conversions if we raise our target. Here’s a table of the additional number of conversions that we may see at various percentage increases.

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The higher we increase the tCPA, the more conversions we see and the higher impression share we will receive. Though Google takes care of all bidding, we’re fueling the automation strategy.

Andra överväganden

Not all data should be included in your bidding strategies. You may have had a day where your conversion pixel wasn’t firing correctly. Or, there was an inflated number of conversions one day due to a once a year sale. You can create data exclusions to bar a day(s) worth of data so it will not negatively impact the bidding strategy.

Within the “Bid strategies” section is an option called “Advanced controls.” In the “Data exclusions” tab you can create the exclusion criteria. Here’s an example.

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Data exclusions should be used sparingly and aren’t meant to manipulate bidding strategies. They shouldn’t be used to exclude data from days where the performance was poor. They ensure that your bidding strategies are making use of correct data and nothing more..

Seasonality adjustments are another feature available in the advertisers’ arsenal. They are temporary bid adjustments that override the bid strategy during a period where you expect a higher conversion rate. Google’s recommendation is to apply a seasonality adjustment if the conversion rate will swing by at least 30% compared to what it is normally. A perfect example of this occurrence is on Black Friday. For most advertisers, the conversion rate will skyrocket on this day. Thus, seasonality adjustments overwrite the bid strategy to capture this demand.

Seasonality adjustments can be applied to all campaigns or solely specific ones. They can be set by the hour or for an extended period of time.

Slutgiltiga tankar

The core concern with automated bidding is that it takes control away from advertisers. The better way to look at is to understand the numerous benefits it has over manual bidding and the ways advertisers can guide the system.

PPChero.com

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Google Bard vs. ChatGPT: vilken är den bättre AI-chatboten?

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Google Bard vs. ChatGPT: vilken är den bättre AI-chatboten?

Google Bard och ChatGPT are two of the most prominent artificial intelligence (AI) chatbots available in 2023. But which is better? Both offer natural language responses to natural language inputs, using machine learning and millions of data points to craft useful, informative responses. Most of the time. These AI tools aren’t perfect yet, but they point to an exciting future of AI assistant search and learning tools that will make information all the more readily available.

As similar as these chatbots are, they also have some distinct differences. Here’s how ChatGPT and Google Bard measure up against one another.

Which is better, Google Bard or ChatGPT?

This is a tricky question to answer, as at the time of writing, you can only use Google Bard if you’re part of a select group of early beta testers. As for its competition, you can use ChatGPT right now, completely for free. You may have to contend with a waitlist, but if you want to skip that, there’s a paid-for Plus version offering those interested in a more complete tool the option of paying for the privilege.

Still, when Google Bard becomes more widely available, it should offer credible competition for ChatGPT. Both use natural language models — Google Bard uses Google’s internal LaMDA (Language Model for Dialogue Applications), whereas ChatGPT uses an older GPT-3 language model. Google Bard bases its responses to questions on more recent data, with ChatGPT mainly trained on data that was available prior to 2021. This is similar to how Microsoft’s Bing Chat works.

We’ll have to reserve judgment on which is the more capable AI chatbot until we get time to play with Google Bard ourselves, but it looks set to be a close contest when it is more readily available.

Are Google Bard and ChatGPT available yet?

As mentioned, ChatGPT is available in free and paid-for tiers. You might have to sit in a queue for the free version for a while, but anyone can play around with its capabilities.

Google Bard is currently only available to limited beta testers and is not available to the wider public.

Banner of Google Bard intro från 6 februari.

What’s the difference between Google Bard and ChatGPT?

ChatGPT and Google Bard are very similar natural language AI chatbots, but they have some differences, and are designed to be used in slightly different ways — at least for now. ChatGPT has been used for answering direct questions with direct answers, mostly correctly, but it’s caused a lot of consternation among white collar workers, like writers, SEO advisors, and copy editors, since it has also demonstrated an impressive ability to write creatively — even if it has faced a few problems with accuracy and plagiarism.

Still, Microsoft has integrated ChatGPT into its Bing search engine to give users the ability to ask direct questions of the search engine, rather than searching for terms of keywords to find the best results. It has also built it into its Teams communications tool, and it’s coming to the Edge browser in a limited form. The Opera browser has also pledged to integrate ChatGPT in the future.

ChatGPT Google Bard
Accessible through ChatGPT site. Only text responses are returned via queries. Integrated with Google Search. You only need to change a Google setting to get your regular search results when using Google Bard AI, and vice versa.
ChatGPT produces answers from its trained database from 2021 and before. Google Apprentice Bard AI will be able to answer real-time questions.
Based on GPT (Generative Pre-trained Transformer). Based on LaMDA (Language Model for Dialogue Applications).
Service has a free and paid plan option (called ChatGPT Plus). Service is free.
Has built-in plagiarism tool called GPT-2 Output Detector. No built-in plagiarism detection tool.
Available now Still in beta test phase

Google Bard was mainly designed around augmenting Google’s own search tool, however it is also destined to become an automated support tool for businesses without the funds to pay for human support teams. It will be offered to customers through a trained AI responder. It is likely to be integrated into the Chrome browser and its Chromium derivatives before long. Google is also expected to open up Google Bard to third-party developers in the future.

Under the hood, Google Bard uses Google’s LaMDA language model, while ChatGPT uses its own GPT3 model. ChatGPT is based on slightly older data, restricted in its current GPT3 model to data collected prior to 2022, while Google Bard is built on data provided on recent years too. However, that doesn’t necessarily make it more accurate, as Google Bard has faced problems with incorrect answers to questions, even in its initial unveiling.

ChatGPT also has a built-in plagiarism checker, while Google Bard does not, but Google Bard doesn’t have the creative applications of ChatGPT just yet.

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Google to pay $391.5 million settlement over location tracking, state AGs say

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Google to pay $391.5 million settlement over location tracking, state AGs say

Google has agreed to pay a $391.5 million settlement to 40 states to resolve accusations that it tracked people’s locations in violation of state laws, including snooping on consumers’ whereabouts even after they told the tech behemoth to bug off.

Louisiana Attorney General Jeff Landry said it is time for Big Tech to recognize state laws that limit data collection efforts.

“I have been ringing the alarm bell on big tech for years, and this is why,” Mr. Landry, a Republican, said in a statement Monday. “Citizens must be able to make informed decisions about what information they release to big tech.”

The attorneys general said the investigation resulted in the largest-ever multistate privacy settlement. Connecticut Attorney General William Tong, a Democrat, said Google’s penalty is a “historic win for consumers.”

“Location data is among the most sensitive and valuable personal information Google collects, and there are so many reasons why a consumer may opt out of tracking,” Mr. Tong said. “Our investigation found that Google continued to collect this personal information even after consumers told them not to. That is an unacceptable invasion of consumer privacy, and a violation of state law.”

Location tracking can help tech companies sell digital ads to marketers looking to connect with consumers within their vicinity. It’s another tool in a data-gathering toolkit that generates more than $200 billion in annual ad revenue for Google, accounting for most of the profits pouring into the coffers of its corporate parent, Alphabet, which has a market value of $1.2 trillion.

The settlement is part of a series of legal challenges to Big Tech in the U.S. and around the world, which include consumer protection and antitrust lawsuits.

Though Google, based in Mountain View, California, said it fixed the problems several years ago, the company’s critics remained skeptical. State attorneys general who also have tussled with Google have questioned whether the tech company will follow through on its commitments.

The states aren’t dialing back their scrutiny of Google’s empire.

Last month, Texas Attorney General Ken Paxton said he was filing a lawsuit over reports that Google unlawfully collected millions of Texans’ biometric data such as “voiceprints and records of face geometry.”

The states began investigating Google’s location tracking after The Associated Press reported in 2018 that Android devices and iPhones were storing location data despite the activation of privacy settings intended to prevent the company from following along.

Arizona Attorney General Mark Brnovich went after the company in May 2020. The state’s lawsuit charged that the company had defrauded its users by misleading them into believing they could keep their whereabouts private by turning off location tracking in the settings of their software.

Arizona settled its case with Google for $85 million last month. By then, attorneys general in several other states and the District of Columbia had pounced with their own lawsuits seeking to hold Google accountable.

Along with the hefty penalty, the state attorneys general said, Google must not hide key information about location tracking, must give users detailed information about the types of location tracking information Google collects, and must show additional information to people when users turn location-related account settings to “off.”

States will receive differing sums from the settlement. Mr. Landry’s office said Louisiana would receive more than $12.7 million, and Mr. Tong’s office said Connecticut would collect more than $6.5 million.

The financial penalty will not cripple Google’s business. The company raked in $69 billion in revenue for the third quarter of 2022, according to reports, yielding about $13.9 billion in profit.

Google downplayed its location-tracking tools Monday and said it changed the products at issue long ago.

“Consistent with improvements we’ve made in recent years, we have settled this investigation which was based on outdated product policies that we changed years ago,” Google spokesman Jose Castaneda said in a statement.

Google product managers Marlo McGriff and David Monsees defended their company’s Search and Maps products’ usage of location information.

“Location information lets us offer you a more helpful experience when you use our products,” the two men wrote on Google’s blog. “From Google Maps’ driving directions that show you how to avoid traffic to Google Search surfacing local restaurants and letting you know how busy they are, location information helps connect experiences across Google to what’s most relevant and useful.”

The blog post touted transparency tools and auto-delete controls that Google has developed in recent years and said the private browsing Incognito mode prevents Google Maps from saving an account’s search history.

Mr. McGriff and Mr. Monsees said Google would make changes to its products as part of the settlement. The changes include simplifying the process for deleting location data, updating the method to set up an account and revamping information hubs.

“We’ll provide a new control that allows users to easily turn off their Location History and Web & App Activity settings and delete their past data in one simple flow,” Mr. McGriff and Mr. Monsees wrote. “We’ll also continue deleting Location History data for users who have not recently contributed new Location History data to their account.”

• This article is based in part on wire service reports.

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5 Tips to Boost Your Holiday Search Strategy

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Student skriver på dator

With the global economic downturn, inflation, ongoing supply chain challenges, and uncertainty due to the Ukraine war, this year’s holiday shopping season promises to be very challenging. Will people be in the mood to spend despite the gloom? Or will they rein in their enthusiasm and save for the year ahead?

With these issues in mind, here are five considerations to support your search engine optimization strategy this holiday shopping season:

1. Start early.

Rising prices are likely to mean shoppers will start researching their holiday spending earlier than ever to nab the best bargains. Therefore, retailers must roll out their holiday product and category pages — and launch any promotions — sooner to ensure their pages get crawled and indexed by search engines in good time.

Some e-commerce stores manage to get their pages ranking early by updating and reusing the same section of the website for holiday content and promotions, rotating between content for Christmas, Mother’s Day, Valentine gifts, Fourth of July sales, etc. This approach can help you retain the momentum, links and authority you build up with Google and get your holiday pages visible and ranking quickly.

2. Make research an even bigger priority.

With all the uncertainty this year, it’s vital to use SEO research to identify the trending seasonal keywords and search phrases in your retail vertical — and then optimize content accordingly.

With tools such as Google Trends you can extract helpful insights based on the types of searches people are making. For example, with many fashion retailers now charging for product returns, will prioritizing keywords such as “free returns” get more search traction? And with money being tighter, will consumers stick with brands they trust rather than anything new — meaning brand searches might be higher?

3. Make greater use of Google Shopping.

To get the most out of their holiday spending, consumers are more likely to turn to online marketplaces such as Google Shopping as they make it easier to compare products, features and prices, as well as to identify the best deals both online and in nearby stores.

Therefore, take a combined approach which includes listing in Google Shopping and at the same time optimizing product detail pages on your e-commerce site to ensure they’re unique and provide more value than competitors’ pages. Be precise with product names on Google Shopping (e.g., do the names contain the words people are searching for?); ensure you provide all the must-have information Google requires; and set a price that’s not too far from the competition. 

4. Give other search sources the attention they deserve.

Earlier this year Google itself acknowledged that consumers — especially younger consumers — are starting to use TikTok, Instagram and other social media sites for search. In fact, forskning suggests 11 percent of product searches now start on TikTok and 15 percent on Instagram. Younger consumers in particular are more engaged by visual content, which may explain why they’re embracing visually focused social sites for search. So, as part of your search strategy, create and share content on popular social media sites that your target customers visit.

Similarly, with people starting their shopping searches on marketplaces such as Amazon.com, optimizing any listings you have on the site should be part of your strategy. And thankfully, the better optimized your product detail pages are for Amazon (with unique, useful content), the better they will rank on Google as well!

5. Hold paid budget for late opportunities.

The greater uncertainty and volatility this holiday season mean you must keep a close eye on shopper behavior and be ready to embrace opportunities that emerge later on. Getting high organic rankings for late promotions is always more challenging, so hold some paid search budget back to help drive traffic to those pages — via Google Ads, for example. Important keywords to include in late season search ad campaigns include “delivery before Christmas” and “same-day-delivery.” For locally targeted search ads, consider “pick up any time before Christmas.”

The prospect of a tough, unpredictable holiday shopping season means search teams must roll out seasonal SEO plans early, closely track shoppers’ behavior, and be ready to adapt as things change.

Marcus Pentzek is chief SEO consultant at Searchmetrics, the global provider of search data, software and consulting solutions.

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