Images Are Going To Infiltrate Google Search – And Other Hot Takes For 2020 [Video]
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Do you ever want to compare notes on the PPC media industry with people outside of your company? Do you ever want to hear what other paid media experts are concerned about, excited for, or planning to test?
Our team is constantly talking about what’s next, so we thought, “hey, why don’t we share their conversations with the world?”
In this video, Hanapin’s Mary Hartman and Dan Rocklin discuss what they’re excited for in 2020, their resolutions, and their hot takes on overrated strategies.
Transcription
Mary
Hey everybody! Today on the PPC hero vlog we’re going to be talking about New Year things: what we’re excited about in 2020, our New Year’s resolutions, and overrated strategies or hot takes that we have. Just as an introduction, my name is Mary Hartman. I’ve been here at Hanapin Marketing for three years and I’ve been in the industry for about eight years now. I’m here with Dan and I can have him introduce himself as well.
Dan
Hi everybody! I am a Senior Account Manager here at Hanapin Marketing and I’ve been with Hanapin for about two and a half years now.
Mary
Awesome. Yeah, let’s just plunge right into it.
First, let’s talk about what we’re excited about in 2020.
On my part, I’m really excited about new Google Ads reports and Google has been rolling out these reports, kind of quietly, to better guide the machine. In 2019, automation seemed to be the thing that everybody was talking about.
Google has new reports to let you know about your portfolio strategy. It lets you know the top signals going into your bids and what could be affecting those negatively or positively. Seasonality adjustments is another new thing in the shared library for your bid strategies. And then the RSA combination report. With responsive search ads, advertisers have been really hungry for more information about what combinations of ad copy Google is serving.
So Google is actually delivering a little, little sliver of sunlight for us, to let us know the combination reports. That’s another thing that if you were testing RSA’s right now definitely take a look. I’m really hopeful for the future that Google can just keep rolling out more and more reports to help us be able to pull at least a few levers and open up that black box and let us know what’s going into these new automated strategies and tools that they have for us.
What are you excited about in 2020?
Dan
Well beyond what you just said, I definitely am excited to have a peek behind the curtain a little bit with some of these reports that Google is rolling out. And in addition to these reports that tell us about past performance they are also moving towards giving us more insights when it comes to predicting future performance.
So I’m just going to talk briefly about a couple of new tools in the Google ads platform that let advertisers do that a little bit better. One is the performance planner. The premise of which is pretty exciting I think.
Google’s announcement of the tool said that in beta they had seen advertisers drive up to 43 percent more conversions using it which is a huge number. And basically the way it works is that advertisers can model different levels of spend and Target CPA bidding for various campaigns and Google will provide estimates of how the campaigns would perform at those levels. So according to Google’s description in the future, again, it takes into account past performance as well as performance in similar advertisers accounts and campaigns, in addition to billions of search queries. So they hopefully can better predict how the campaign will perform with future search demand. And another exciting premise or part of this new feature is that it should at least to some degree be able to take into account seasonality as well. So for clients that are highly affected by seasonality, hopefully, this will give a little bit more precise estimate of performance moving forward.
The second tool that is pretty similar to this is the reach planner which is a lot like the performance planner but specific to YouTube. Similarly, it will allow advertisers to better predict the reach of their YouTube campaigns at various levels of spend and what’s really exciting about this tool I think is just that it’s compatible with a wide range of different ad types and for pretty much any audience that you can Target on YouTube.
You can use the reach planner to model out how your campaign will perform at various spend levels and bits. So those are definitely two features that I’ll be excited to try out, and speaking of new things on the horizon Mary:
Do you want to talk a little bit about your PPC-specific, 2020 New Year’s resolutions?
Mary
Yeah, absolutely. Yeah, that reach planner will be great. I feel like everybody is talking about YouTube ads recently. So I’m excited for that. But on my part, setting up Google ads the campaign-level conversions and action sets. It’s really on my to-do list for the year. A lot of new clients I have don’t have them set up and basically it’s just another great way of helping to guide the machine. My kind of niche here at Hanapin is mostly with B2B clients and lead gen so we have our campaign segmentation already designed to push specific offers over really, really long funnels. So using campaign level conversions and the action sets and just actually going into settings and letting Google know, “Hey, this is the conversion that really matters the most to us.”
Whether it’s someone at the bottom of the funnel looking for a demo or if they’re further, you know up at the top of the funnel and they get a content offer or something like that, just being able to pull that lever and be able to just to test that out and give Google that information, that’s a big sort of goal for me for my accounts in the new year.
Dan
I think that is definitely going to be a big thing for 2020. It’s something that I experimented with a little bit towards the latter part of 2019 to see, for lead gen campaigns that weren’t getting a lot of hard conversions coming in to help guide the machine, we tested including secondary conversion metrics in their targeting as well.
So even if they weren’t producing signups, were they producing quality website sessions? And by targeting that conversion, the question we wanted to figure out is if we could ultimately produce more value for the client there.
Mary
For sure. Yeah, I think another resolution I have is making use of, on the social side, Facebook attribution and Facebook analytics. Getting things set up correctly can sometimes be a real pain, especially on the Facebook analytics side with event sets and things like that. So getting those set up is really a big push for us and especially using the ads attribution. Facebook attribution is still pretty new as a tool but it’s going to be incredibly powerful to be able to better understand how Facebook ads are actually affecting those endpoint conversions. So measurement, measurement, measurement is really, like, what is in my head for social for the New Year, too.
Dan
I was just going to say I have a couple of same-genre New Year’s resolutions that are, speaking to taking advantage of newer features, newer ad types, newer audience targeting strategies, one of which that I really am eager to test out is the effectiveness of responsive display ads versus traditional display ads.
So I think a lot of advertisers at this point are pretty familiar with responsive search ads and comparing those to expanded text ads. Personally, I want to see how responsive display ads can compare against traditionally designed display ads. You know on the one hand we might hypothesize that performance would be better because they can reach more placements and are self-optimizing to find the best working combinations, but on the other hand, professionally designed creative tends to look better and be more engaging just in the normal human eye.
Dan
And so I really don’t know beforehand which one would work better in any case which is why I think it is something worth testing out. And the other kind of machine learning strategy I want to test out more of is the use of similar audiences versus audiences that advertisers can determine in advance, like in-market audiences or affinity audiences or demographic audiences, right? So we might think we have a really good idea of the type of audience that converts well and that idea might even be backed by a lot of data, but I wonder if when we feed a similar audience into a campaign, if when we’re just telling an algorithm to find us more people who look like that, if that can perform even better than those audiences that we determined beforehand.
Mary do you have experience or have you tried either those things in the past?
Mary
Similar audiences, generally I’ve stayed away from, but I think that any advertiser that’s using a custom audience – and more and more advertisers are just using way higher quality custom audiences like their current customers or you know, people that are engaging with an app or things like that – if you have people like a list it’s really solid and really high quality not just like a huge remarketing list I think that’s definitely an audience that you should really get into testing. Yeah, just if you have those audiences that are so high-quality for Google to take off from.
Mary
So as our last topic today, we’ll be covering overrated strategies or hot takes.
So my hot take for 2020 is: copy and calls to action – they really still matter, but I feel a lot of advertisers are still in this mode of testing text all the time on search. We’ve seen at the very tail end of 2020 that images are starting to really become more important in search. We had the images extensions that came out for search in December – very quietly released by Google. So that is an exciting aspect. And then the gallery ads for search too is in the closed beta currently but so many of my clients are chomping at the bit to have that beautiful image at the top of the search engine result page for mobile, especially for mobile users.
So those are a couple of closed betas that I’m very jealous of, but but I think any advertiser who’s familiar with search can:
- Hone in their skills of testing images by experimenting on social
- Getting really, really good at doing A/B testing
- Having an understanding of what works and image testing on social
…because I really think that the future of search, especially on mobile, is going to be image testing hardcore.
That’s definitely my hot take. You see it in the SEO world too. An SEO image, like infoboxes, is becoming big and I think images are just going to get hotter and hotter on the SERP for sure.
Dan
Yeah, I think that’s a great callout – that advertisers should already be testing images on social, right, and not only when they do so they can hone their skills in doing that, but those learnings are going to apply if and when image testing becomes more popular and more necessary on search, you know. If you know, what images work best on social, that’s a great place to start with the first images that you’re testing in your search campaigns as well.
Mary
Yeah, for sure. What’s your hot take for 2020?
Dan
My spicy hot take is that I don’t think broad match keywords are dead. I think that for a lot of advertisers, in most cases, it makes all the sense in the world to be very, very specific and targeted with your keywords. And for the most part, just utilize exact match and/or broad match modified and/or phrase match keywords.
Where I think broad match targeting can be very effective though, is when you combine it with audience targeting, right? So if you’re not opening up your campaign to the whole wide world you’re saying, okay, let’s restrict this campaign to an audience that I know converts well and I really want to visit the landing page for a wide variety of searches that they may be doing.
Then I think that testing those broader keywords makes all the sense in the world and you know, not only could you find that those campaigns themselves are very effective, but it can also be a great place to mine for additional keywords to increase the reach of your other campaigns as well.
Mary
For sure. Yeah, I totally agree with that. Even modified broad match is sometimes not enough to get enough volume sometimes and just having that bravery to use an audience has a safety net. We already have seen really good results, especially in the B2B side, for that kind of targeting where we kind of crack open the keyword targeting and just layer an audience on top to keep, kind of the testing safe. So yeah. Thanks, Dan for participating and chatting with me about 2020 and the New Year.
It’s a really exciting time.
And thanks to everyone for listening to us today. If you’re looking for more in-depth discussions like this one we’re actually having the PPC Hero Summit which is on February 12th. It’s coming right up. So, it’s like a whole day practically of experts, not just from Hanapin, but from across the industry.
So we have people from the Microsoft advertising side. We have Larry Kim chatting about things and chats… chatting about chat! So feel free to sign up take a look in this video description or on the page where you found this video and sign up for that (Or click here). It’s completely free: the PPC Hero Summit on February 12th. Otherwise, thanks so much everyone for tuning in!
Google’s Next-Gen AI Chatbot, Gemini, Faces Delays: What to Expect When It Finally Launches

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.
Google Brings Bard Students Math and Coding Education in the Summer

Google is stepping up its AI efforts this summer by sending Bard, its high-profile chatbot, to summer school. The aim? To boost the bot’s math and coding smarts. These developments are excellent news— when Bard first debuted, it was admittedly not a finished product. But Google is steadily plugging away at it, and have now implemented implicit code execution for logical prompts, and handy Google Sheets’ integration to take it to the next level.
Thanks to implicit code execution, Bard can respond to inquiries requiring calculation or computation with Python code snippets running in the background. What’s even more amazing is that coders can take this generated code and modify it for their projects. Though Google is still apprehensive about guaranteeing the accuracy of Bard’s answers, this feature is said to improve the accuracy of math and word problems by an impressive 30%.
In addition to this, Bard can now export directly to Sheets when asked about tables. So, you don’t need to worry about copying and pasting, which comes with the risk of losing formatting or data.
From the company’s I/O keynote address, it is clear that they are focused on making the most of what Bard can offer. As they continue to speak highly of the chatbot, we’re sure to expect more features and capabilities when the summer comes around.
Google Bard vs. ChatGPT: which is the better AI chatbot?

Google Bard and 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.

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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