Google Ads vs. Google Compute Engine

Google Ads is a useful advertising tool to build brand exposure and generate lead volumes for your chosen product. Whilst it can be costly at times due to competitor bidding strategies and requires constant monitoring to ensure campaigns perform as expected, it typically provides the desired quality and quantity of leads for custom budgets.

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You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.

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• Automated targeting via Smart Shopping campaign. It's one of the best campaign types in Google Ads. In the beginning, you may see lower revenue and ROAS, but once you give some meaningful time to your campaign, it is most likely to perform well.
• Smart bidding strategies: Google Ads has developed some really great bidding strategies such as maximizing conversion and maximizing conversion with ROAS settings. Based on one's requirement and their goal with revenue and target ROAS, they can choose the appropriate bidding strategy.
• Reporting: A business owner and advertising must know about their audiences, how their campaigns have been performing, what's working and what's not, and for that reason, powerful, effective reporting is needed, and Google Ads provides rich details reporting that covers almost every aspect of a business.

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• Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
• Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
• Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs

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• If you don't know what you're doing, it will be a costly mistake. You need to target ads, and it is difficult the first time to do that.
• There isn't a feature to run an add for a couple set date spans, just hours you want to run them or a single date span.

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• Built-in monitoring via Stackdriver is quite expensive for what it provides.
• Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
• Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.

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I think Google Ads is good for getting your company out there and becoming more visible to potential customers in general. However, for specific product launches, social media advertising might be a better fit. Also, our user base is younger so social media is a better channel for our target audience.

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Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.

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This is more of a subjective rating, because I think it can be increased with how much our ad spend is. The more of an ad spend, the more visibility we can get, and therefore all features can climb. With an overall larger presence the usability is that where we can get messages out quick, and that's the main thing we try to do with our campaigns.

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Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

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Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes

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It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.

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We have not yet had an account rep who hasn't tried to bully me or other employees to raise our budgets. At the same time, several years ago, one attempted to help refine our ads and ended up changing the ads to be something we were not affiliated with

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• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

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Daily use with advanced account structures. Familiarity with reporting/api and complex setups.

Our agency invests heavily in Google Ads (particularly paid search advertising) on behalf of our clients relative to competitors like Microsoft and Yahoo because Google is the top search engine in the world. Google collects the most search data which enables the company to improve its AI to drive better performance for agencies and brands. As such, our paid search and app install campaigns always start with Google. If a client has a large budget, we will allocate media dollars to other search engines, but in some cases, the entire search budget goes to Google because we see the best returns.

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Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

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It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.

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• Google Ads is often one of our highest ROI channels, especially when you factor in branded ads.
• Depending on the stage your business is in, search ads can be really powerful from an ROI perspective, providing an investment with a very high spend cap.
• If you do not manage the campaigns well though, you can quickly spend a lot of money on nothing. So make sure someone is keeping an eye on your account.

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• With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
• As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.

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