PPC changes 2018 and their impact on advertisers in 2019

Major changes in SEM made waves throughout 2018 and are redefining nearly every aspect of paid search marketing. There were a number of momentous shifts, nearly all with a common thread of more automation and machine learning.

Google Ads: New brand name, new UI – The name change from AdWords to Google Ads is indicative of the fact that keyword selection plays a lesser role in paid search marketing than even a year ago, but more broadly the name change reflects the platform’s growth from one created for text ads to one that now includes dozens of ad formats across Search, YouTube, Gmail, Maps and a network of partner sites and apps. With the new interface, we lost some things such as Display Planner and gained a YouTube reach planner, notes and the ability to make changes from the Overview page in addition to other new features.

Responsive Search Ads – RSA are part of the continuum of letting machine learning models do the work of ad creative optimization. Some of the initiatives that have come before it: dynamic search ads, automated ad suggestions and Google efforts over the past years to get advertisers to give up manual A/B testing and add at least three ads per ad group. An ad strength indicator and somewhat more extensive reporting for RSA were introduced in August. Same month, Google said it would soon roll out RSA to more languages and in the meantime extend the extra character benefits of RSA to text ads for everyone. This fall, Bing added support for the third headline and second description in text ads, including the ability to import the longer ads from Google.

Exact Match – As with ads more machine learning was injected into keyword-to-query matching in 2018 with the inclusion of same meaning words in close variants of exact match keywords. The match type lost its literal meaning and forced marketers to rethink how they use match types altogether.

AI-powered insights – Google and Bing have dedicated significant resources to developing much more robust recommendation engines in their interfaces. Bing introduced a competition tab, performance insights and location recommendations that highlight performance changes and competitive pressures, all delivered with machine learning. Google also continues to iterate on the data visualizations available from the overview page. The goal is to spend less time downloading and analyzing spreadsheets and more time focused on strategy and creative tactics.

AI-powered bidding – The manual bidding option is now buried below a growing list of machine learning driven bidding strategies, including ECPC. On the smart bidding front, Google introduced Target Impressions share, Pay for Conversions in Display Campaigns when Target CPA is the bidding strategy and rolled out Smart Bidding for search partners. Bing introduced Target CPA and Maximize Conversions bidding strategies.

Audiences: LinkedIn data for Bing, MSAN and more – Bing launched the Microsoft Audience Network (MSAN) which encompasses native ad inventory on MSN.com, Microsoft Outlook and the Microsoft Edge browser, as well as syndication partner for what are now called Microsoft Audience Ads. It uses AI for ad delivery optimization and uses data from the Microsoft Graph for audience targeting, including web and search activity, demographic and consumer behavior activity and select LinkedIn profile dimensions. In October, Bing also made LinkedIn categories of company, job function and industry available for targeting in search and shopping campaigns in the US.

Universal Automation vs. Hybrid Management – Google introduced goal-optimized Shopping campaigns, Smart Campaigns for small businesses and Local campaigns for driving in-store traffic. With Smart Campaigns, everything from ad creation, audience targeting, ad delivery across Google channels and soon landing page creation are automated based on the advertiser’s goal. Goal-optimized Shopping campaigns employ machine learning to automatically optimize ad delivery to achieve the defined conversion goal value, such as revenue or return on ad spend (ROAS). It also combines dynamic remarketing and standard Shopping in one campaign to deliver an ad across Google properties and the Google Display Network. For Local campaigns, advertisers set a budget, and the ads are generated automatically based on ad creative elements from the advertiser and their location extensions. Google automatically optimizes ad delivery across Search, YouTube, Maps and websites and apps in its ad networks.

Based on the trajectory of automation in ads and exact match, this hybrid approach has the potential to spell the end of manual control of match types (except negatives), bid modifiers, geo-targeting and other tools we use for campaign management. This doesn’t mean people will be erased from the equations and certainly not in 2019 but it will require SEM specialists to adopt a very different mindset. We have to embrace machine learning as a tool that helps us find opportunities that are imperceptible through traditional techniques.

New Inventory Locations and Surfaces – There were a number of new surfaces for ad formats that opened up in 2018. Bing’s native ads extending across the Microsoft Audience Network is just one example. In November, Google made AMP Story ads available to all publishers, and there are now more than 100 ad tech vendors with AMP integrations. Hotel deals from Google Search are now featured on the Benefits tab of the new Google One cloud storage app (for Android only at this point). Expect to see more promotional opportunities. Google said more promotions from the Google Store and Google Express benefits and more will eventually be featured on the tab. Google has also been testing native ads in the Discover Feed (originally Google Now) on the front page of the Google app. It’s a limited whitelist test for now, but could open up more native inventory in a prominent location.

Connected TV advertising is growing rapidly, and YouTube says more people are streaming it on their televisions. This fall, “TV screens” became the latest device type for video and display campaigns in Google Ads. Eligible display and video campaigns are running on TV screens by default now, and can be managed with bid modifiers. Expect to continue hearing much more about connected TV advertising in 2019.

Amazon Ads – The Google - Amazon face off started with where consumers start their product searches. Now it’s extending to search and other advertising. Amazon was declared the third-largest digital ad seller in the US by eMarketer in September, (far) behind Google and Facebook. Its ad revenue is expected to increase by 50 percent per year through 2020, which would put its market share at 7.0 percent, up from 4 percent currently. In our Amazon Advertising Forecast 2019, 80 percent of Amazon advertisers said they plan to increase spends in 2019, with 30 percent saying they’ll shift some budget from search.

Google’s strategy to counter Amazon’s encroachment into product search is to partner with retailers. It debuted Shopping Actions in March to address three key challenges on the e-commerce front: (1) how to make mobile shopping from its properties like Search faster; (2) how to maintain market share for product search in a splintering mobile landscape of apps and digital assistants; and (3) how to compete against Amazon. Shopping Actions runs across Search, any Google Assistant-enabled devices, Google Express (which includes Shopping ads that now feature blue shopping tags instead of parachutes), and features a universal shopping cart and a Google-hosted checkout when users save their payment information in their Google accounts.

2018 is kind of a turning point in terms of SEM I think. “Keywords aren’t gone, but they’ve been greatly depreciated. SEM in 2019 is going to be much closer to modern programmatic than it is to the ‘enhanced’ era.

Planning Career in Job changing Market

Remember good old days. The streets were safe. Goods were cheap. Jobs were aplenty. You got promoted every few years. You had an income for life. But the world has changed. Neither your city nor your job is safe anymore. Hiring intentions are at a 12-year low in India as a Manpower Group Report. Businesses are evolving rapidly. Whatever you do now will transform in three years or your employer will get it done cheaper and faster either through technology or by a younger placement.

Dying Assets

Skills – Sticking to your current skill set is a sure shot way to becoming redundant. Are you an accountant who knows how to keep books? This single skill earlier could get you a job and keep you there for a lifetime? Just a few years back, this skill became useless if you could not use accounting software. Similarly, a single change called GST meant that your contribution to your employer dropped dramatically unless you were willing to learn new skills.

Knowledge – The knowledge that you held today and spent years in acquiring and polishing is worth far lesser if you take a single year sabbatical from continuous learning. With Internet penetration, knowledge is incredibly cheap and even the youngest patient and legal client questions and double checks the service he is getting versus the price he is paying. Similarly, companies are learning that it is noncompetitive to pay senior professionals more than their knowledge alone. A youngster with less than half the experience can acquire that knowledge at a substantially lower salary.

Labor – Work hard and you will succeed is terrible standalone advice in the current job market. For every job that requires human hours, someone somewhere is working on technology to reduce time required to do a task to make you either more productive or redundant. From manufacturing to services to knowledge work, your labor hours are being replaced by technology solutions that help your company reduce costs and increase productivity.

Technology – Massive changes in the technology that you used 2-3 years back forced you to head back to the classroom to upgrade or become irrelevant. Relying on your comfort with current technology in your job is the fastest route to losing your job to the next savvy professional who comes along. Artificial Intelligence in language/data, robotics/3D printing, Internet of Things in goods/manufacturing/labor and Internet/computing in knowledge/education are rapidly evolving technology spaces where your comfort levels in using them needs to keep pace to stay professionally relevant.

Growth Assets

Sales – The Primary difference between being merely skilled being successful lies in how you work with others. To achieve this, you require the ability to communicate and sell your ideas to others. Work on your negotiation skills to master the art of reaching agreement on common goals and process.

Learning – Stay curious and stay hungry. If your current skills and knowledge are redundant, the only thing that you will ever require is the ability to learn. This is an acquired skill. The first step is to be intensely curious. Observe children who have the steepest learning curves simply because they are constantly curious about the world around them. No learning will ever go waste and no employer will ever let go of someone who can connect the dots across business and solve problems.

Creating – You will do well to set aside at least two hours every weekend to just pause and think. Ask yourself what happened in the previous week or month, what new knowledge you acquired and how you can improve your plan for the future.

How to Survive

Be Paranoid – What could go wrong in your job? How will you find your next source of income?

Double Up – Get a second career, work a second shift, sell to a second client or acquire a second skill.

Stay fit – Investing in achieving high fitness levels increases ability and time required for learning and growth.

Stay Sharp – To stay alive and kicking in your career, keep your mind ticking by constantly challenging and feeding it.

Grow People – The way to attract and lead people is to teach them, help them solve problems and unlock their potential.

Know about Chatbots

Messaging platforms are coming of age, and chatbots are all the rage now, they are touted as the next app like wave in communication industry. Artificial Intelligence (AI) and Machine Learning (ML) are advancing by the day, there is a layer of it being added to everything we know, smart cars, smart homes, smart shoes and of course messengers have become platforms on which commerce and brand communications are being built now.

There are three key drivers shaping the market for chatbots. Firstly, large communication technology companies from the likes of Facebook, Amazon, Microsoft and Google are making it conducive for building chat based products, they have opened up their respective messaging platforms for developers to build and innovate on top of it. Even Apple has announced APIs for Siri, a move to allow developers into what has been a walled garden so far. So to say, chatbots are no longer standalone products but part of an ecosystem just like how apps are built and distributed on app stores.

Secondly, there's a rising usage of Messengers over traditional SMSes; recently, Zuckerberg announced that 60 billion messages are sent over Facebook Messenger and WhatsApp every day, together they are thrice bigger than the 20 billion SMS sent. WeChat in China has set an impeccable precedence to show the world how a thriving metamarket can be built within a chat app. WeChat is more like a virtual hypermarket on top of which others businesses have built stores through chat apps.  

Third macro factor driving the rise of chatbots is the Gen next's growing preference to chat based interfaces. Messaging has surpassed social media to become the preferred method of communication for millennial. Mary Meeker's research shows that 69 percent of millennial prefer web/internet chat, social media, and messaging to other channels such as talking on phone or IVRS. In past decade we saw brands enabling customers to do everything online, from ordering pizzas with emojis to banking with hash tags, we have seen it all. Chatbots is the emerging new world order.

All of this gives genuine reasons for marketers to consider investing their time and efforts to build chatbots and make it an effective means to allure new wave of customers their way. Chat apps/ bots is not a magic wand one can wave to make a product or service awesome. In foreseeable future, chatbots are only likely to be another customer touch point or an interface to existing business, it can perhaps slowly replace the load on IVRS and Email based customer support.

Chatbots are slowly evolving into an enabler, a digital concierge. But that evolution comes with a subset of challenges, one of them is the multi-agent problem. Consider this, Google's upcoming messenger Allo allows user to add @Google in a group chat and invoke it for getting answers or to get things done. Besides the multi-agent problem, there's another task for marketers to grapple with, to ensure a seamless experience for people using chatbots and smart assistants. 

Communication is a tough business:the way a message is written is not how people preceive it. Just like humans have selective distortion problems, bots have context and natural language processing (NLP) problems. For now, the only jobs chatbots can take away are that of a few helpless souls working at call centres with pseudo American names and a fake accent.