Connect with us

GOOGLE

The Guide To Google Ads’ Reach Planner

Published

on

the guide to google ads reach planner

Google Ads Reach Planner is a powerful tool within the Google Ads UI that can predict total user reach, costs, and frequency based on a number of audiences and budgetary inputs. I have personally used the tool for projection presentations a number of times now and the media plans the reach planner outputs are well-received by clients. Generally, the projections are decently accurate – especially if you give the tool more data points. Quite recently, Google made updates to the planner which added a few more bells and whistles, changed the user flow, and made it a little easier to navigate. Let’s dive into the latest version of this tool as if we had never used it before and were creating a new media plan.

Choose Your Goal, Channel, Location, and Demographic Settings

Google Ads reach planner forecast settings
Google Ads reach planner demographic settings

At the beginning, we have to choose a goal for our selected campaign. Right now, the current selections are limited as they are still preparing the new version of the tool – so our only option for this example is “Awareness”. Then, we move down and choose our channel. For this example, we’ll choose YouTube only because of the ad types I will choose later. Following your goal and channel selections are location settings and demographic filters. Since I’m a Chicago guy, that will be our selected location and we will keep our age minimum at the youngest age Google allows, 18, and make the maximum 24, and include all genders.

Choose Your Audience(s)

Google Ads reach planner target audiences settings
Google Ads reach planner affinity audience example

Above, I chose the youngest demographic because as we make more audience selections, we want to narrow the audience even further for the most accurate media plan. For this example, we’re ultimately aiming for early adopters in the tech marketplace.  We decide to target technophiles, which is an affinity audience. After narrowing our audience, we must choose dates for the media flight. In this example, we’ll run the campaign for one month.

Choose Ad Types And Budget Allocation

Google Ads reach planner ad types and budget settings

Finally, we get to the meaty options of budget and ad types. The ad types should be based on goals. Referring back to our choice of an “awareness” goal, we will put more budget towards the cheaper Bumper Ads so we can maximize the reach within our total budget. Then, the smaller portion of the budget will go to Non-skippable in-stream ads so our audience will HAVE TO see some form of our advertising on YouTube. Once your criteria are set, you can view your media plan.

Review Your Forecast

Google Ads reach planner forecast results

Boom, here it is. We inputted a few basic data points about our target audience, ad types, and budget info to receive a detailed projection of reach, frequency, and cost per thousand impressions.

So, we’re done, right?

Not quite.

Within the projection window, we can input more information to gain further clarity as we get more granular. Starting with frequency, we can change the number of times an audience member sees our ads at the daily or weekly level. For this example, we will choose 3 ad views per day – really slamming them with our message. Additionally, if we are not meeting our reach goals based on the budget – we can then move along the chart to see how many more impressions we might gain based on budget increases. The same can be done from the 2 fields on the far right where you can either change your reach number and see a new budget or change your budget and see the new reach number.

Adjust Frequency, Budget, And Reach

Google Ads reach planner forecast results after adjustments

Above we can see 2 new changes. The first being that our overall reach number dropped slightly due to our frequency choice of 3 views per day. The second being the scrolling ability along the chart that shows us potential based on budget increases or decreases.

Review The Demographic and Device Estimates

Google Ads reach planner demographic estimates
Google Ads reach planner device estimates

Finally, I have two last notes for this guide regarding the demographic and device charts that the reach planner spits out. The demographic graph shows us the number of users classified under each gender within our selected age group, allowing for further tweaks at the campaign level if these numbers were not expected. The device graph predicts which devices our ads will show up on based on the inputs – once again – allowing for further device changes at the campaign level.

There you have it, folks, the PPC Hero guide to using the Google Ads Reach Planner in a dynamic way to fit the needs of your goals vs. your budget. This tool is still going through updates and has changed a few times over the past few months.

If Google is listening, my main wish list item is to include more creative types in the reach planner like display ads, RDAs, or any other creative types outside of the text ad scope.

PPChero.com

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address

AI

Exploring the Evolution of Language Translation: A Comparative Analysis of AI Chatbots and Google Translate

Published

on

By

A Comparative Analysis of AI Chatbots and Google Translate

According to an article on PCMag, while Google Translate makes translating sentences into over 100 languages easy, regular users acknowledge that there’s still room for improvement.

In theory, large language models (LLMs) such as ChatGPT are expected to bring about a new era in language translation. These models consume vast amounts of text-based training data and real-time feedback from users worldwide, enabling them to quickly learn to generate coherent, human-like sentences in a wide range of languages.

However, despite the anticipation that ChatGPT would revolutionize translation, previous experiences have shown that such expectations are often inaccurate, posing challenges for translation accuracy. To put these claims to the test, PCMag conducted a blind test, asking fluent speakers of eight non-English languages to evaluate the translation results from various AI services.

The test compared ChatGPT (both the free and paid versions) to Google Translate, as well as to other competing chatbots such as Microsoft Copilot and Google Gemini. The evaluation involved comparing the translation quality for two test paragraphs across different languages, including Polish, French, Korean, Spanish, Arabic, Tagalog, and Amharic.

In the first test conducted in June 2023, participants consistently favored AI chatbots over Google Translate. ChatGPT, Google Bard (now Gemini), and Microsoft Bing outperformed Google Translate, with ChatGPT receiving the highest praise. ChatGPT demonstrated superior performance in converting colloquialisms, while Google Translate often provided literal translations that lacked cultural nuance.

For instance, ChatGPT accurately translated colloquial expressions like “blow off steam,” whereas Google Translate produced more literal translations that failed to resonate across cultures. Participants appreciated ChatGPT’s ability to maintain consistent levels of formality and its consideration of gender options in translations.

The success of AI chatbots like ChatGPT can be attributed to reinforcement learning with human feedback (RLHF), which allows these models to learn from human preferences and produce culturally appropriate translations, particularly for non-native speakers. However, it’s essential to note that while AI chatbots outperformed Google Translate, they still had limitations and occasional inaccuracies.

In a subsequent test, PCMag evaluated different versions of ChatGPT, including the free and paid versions, as well as language-specific AI agents from OpenAI’s GPTStore. The paid version of ChatGPT, known as ChatGPT Plus, consistently delivered the best translations across various languages. However, Google Translate also showed improvement, performing surprisingly well compared to previous tests.

Overall, while ChatGPT Plus emerged as the preferred choice for translation, Google Translate demonstrated notable improvement, challenging the notion that AI chatbots are always superior to traditional translation tools.


Source: https://www.pcmag.com/articles/google-translate-vs-chatgpt-which-is-the-best-language-translator

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

GOOGLE

Google Implements Stricter Guidelines for Mass Email Senders to Gmail Users

Published

on

1280x924 gmail

Beginning in April, Gmail senders bombarding users with unwanted mass emails will encounter a surge in message rejections unless they comply with the freshly minted Gmail email sender protocols, Google cautions.

Fresh Guidelines for Dispatching Mass Emails to Gmail Inboxes In an elucidative piece featured on Forbes, it was highlighted that novel regulations are being ushered in to shield Gmail users from the deluge of unsolicited mass emails. Initially, there were reports surfacing about certain marketers receiving error notifications pertaining to messages dispatched to Gmail accounts. Nonetheless, a Google representative clarified that these specific errors, denoted as 550-5.7.56, weren’t novel but rather stemmed from existing authentication prerequisites.

Moreover, Google has verified that commencing from April, they will initiate “the rejection of a portion of non-compliant email traffic, progressively escalating the rejection rate over time.” Google elaborates that, for instance, if 75% of the traffic adheres to the new email sender authentication criteria, then a portion of the remaining non-conforming 25% will face rejection. The exact proportion remains undisclosed. Google does assert that the implementation of the new regulations will be executed in a “step-by-step fashion.”

This cautious and methodical strategy seems to have already kicked off, with transient errors affecting a “fraction of their non-compliant email traffic” coming into play this month. Additionally, Google stipulates that bulk senders will be granted until June 1 to integrate “one-click unsubscribe” in all commercial or promotional correspondence.

Exclusively Personal Gmail Accounts Subject to Rejection These alterations exclusively affect bulk emails dispatched to personal Gmail accounts. Entities sending out mass emails, specifically those transmitting a minimum of 5,000 messages daily to Gmail accounts, will be mandated to authenticate outgoing emails and “refrain from dispatching unsolicited emails.” The 5,000 message threshold is tabulated based on emails transmitted from the same principal domain, irrespective of the employment of subdomains. Once the threshold is met, the domain is categorized as a permanent bulk sender.

These guidelines do not extend to communications directed at Google Workspace accounts, although all senders, including those utilizing Google Workspace, are required to adhere to the updated criteria.

Augmented Security and Enhanced Oversight for Gmail Users A Google spokesperson emphasized that these requisites are being rolled out to “fortify sender-side security and augment user control over inbox contents even further.” For the recipient, this translates to heightened trust in the authenticity of the email sender, thus mitigating the risk of falling prey to phishing attempts, a tactic frequently exploited by malevolent entities capitalizing on authentication vulnerabilities. “If anything,” the spokesperson concludes, “meeting these stipulations should facilitate senders in reaching their intended recipients more efficiently, with reduced risks of spoofing and hijacking by malicious actors.”

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

GOOGLE

Google’s Next-Gen AI Chatbot, Gemini, Faces Delays: What to Expect When It Finally Launches

Published

on

By

Google AI Chatbot Gemini

In an unexpected turn of events, Google has chosen to postpone the much-anticipated debut of its revolutionary generative AI model, Gemini. Initially poised to make waves this week, the unveiling has now been rescheduled for early next year, specifically in January.

Gemini is set to redefine the landscape of conversational AI, representing Google’s most potent endeavor in this domain to date. Positioned as a multimodal AI chatbot, Gemini boasts the capability to process diverse data types. This includes a unique proficiency in comprehending and generating text, images, and various content formats, even going so far as to create an entire website based on a combination of sketches and written descriptions.

Originally, Google had planned an elaborate series of launch events spanning California, New York, and Washington. Regrettably, these events have been canceled due to concerns about Gemini’s responsiveness to non-English prompts. According to anonymous sources cited by The Information, Google’s Chief Executive, Sundar Pichai, personally decided to postpone the launch, acknowledging the importance of global support as a key feature of Gemini’s capabilities.

Gemini is expected to surpass the renowned ChatGPT, powered by OpenAI’s GPT-4 model, and preliminary private tests have shown promising results. Fueled by significantly enhanced computing power, Gemini has outperformed GPT-4, particularly in FLOPS (Floating Point Operations Per Second), owing to its access to a multitude of high-end AI accelerators through the Google Cloud platform.

SemiAnalysis, a research firm affiliated with Substack Inc., expressed in an August blog post that Gemini appears poised to “blow OpenAI’s model out of the water.” The extensive compute power at Google’s disposal has evidently contributed to Gemini’s superior performance.

Google’s Vice President and Manager of Bard and Google Assistant, Sissie Hsiao, offered insights into Gemini’s capabilities, citing examples like generating novel images in response to specific requests, such as illustrating the steps to ice a three-layer cake.

While Google’s current generative AI offering, Bard, has showcased noteworthy accomplishments, it has struggled to achieve the same level of consumer awareness as ChatGPT. Gemini, with its unparalleled capabilities, is expected to be a game-changer, demonstrating impressive multimodal functionalities never seen before.

During the initial announcement at Google’s I/O developer conference in May, the company emphasized Gemini’s multimodal prowess and its developer-friendly nature. An application programming interface (API) is under development, allowing developers to seamlessly integrate Gemini into third-party applications.

As the world awaits the delayed unveiling of Gemini, the stakes are high, with Google aiming to revolutionize the AI landscape and solidify its position as a leader in generative artificial intelligence. The postponed launch only adds to the anticipation surrounding Gemini’s eventual debut in the coming year.

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

Trending