Given the modern data environment, improving your PPC results will increasingly rely on processing quality data. Going from good to great PPC performance involves collecting and processing bigger data sets and using machine learning to find and select the best bids. But, despite what you may fear, humans are an integral part of this process as well. Machines canâ€™t do it alone.
Youâ€™re a talented search marketer, but you want to constantly improve, grow, and stay sharp on the latest techniques in digital marketing. Whether youâ€™re the hands-on owner of a SEM program day-to-day, or youâ€™ve stepped away to think more broadly about your digital acquisition strategy, the goal is still the same: turn your PPC channel into an efficient and predictable revenue driver.Â
But, once youâ€™ve started hitting the ceiling, itâ€™s time to put more of your data to work.
Collecting More Data from PPC
Iâ€™m going to assume youâ€™re a pretty advanced search marketer, so youâ€™ve got your ducks in a row regarding your program structure. This means you probably have strong campaign build-out, highly relevant ad groups matched with ad copy and keywords that are tested, kept clean, and aligned with a good landing page experience.
Youâ€™re also probably driving some significant volume. If PPC is a truly pivotal channelâ€“generating forty, sixty, or eighty percent of your revenueâ€“youâ€™re willing to spend a lot with search engines. Lots of dollars leading to lots of clicks and revenue.
When youâ€™re spending tens of thousands (or hundreds of thousands) of budget dollars on search engine marketing, you earn a valuable byproduct: data.
This data is a gold mine! Every click results in some set of actions on your website and some get further down the path towards revenue than others. Beyond that, every click is not only attributed to the keyword, ad, ad group, and campaign, but also to all sorts of attributes and dimensions that provide details about demographics, geographies, and habits.
The intricate customer journeys of the modern era make a â€śConversionâ€ť in Google Ads worth less – and your own ability to track the path to revenue so much more meaningful. Your data tells a better story, you just need to capture it, unify it, and process it.
Rapper Drake makes the claim â€śI don’t carry cash ’cause the money is digitalâ€ť, which resonates with many of us digital marketers these days, hosting most transactions (and therefore conversions) online. But an offline conversion in-store is part of the customer journey for a great many buyers. And the ensuing revenue may have come from your search ads. The customer journey isnâ€™t as cut-and-dry as one may suspect in Google Ads 101.
Other marketers generating less volume from their PPC can probably get by adequately looking at impressions, clicks, and conversions in Google Ads for their optimization efforts. However, when youâ€™re working towards being best-in-class for a scaled-up search program, the publisher metrics arenâ€™t good enough. Performance marketers running huge programs require more to truly grow.
Big Data: The Perks for Performance Marketers
Collecting the data weâ€™re discussing here will very quickly generate â€śBig Dataâ€ť, which is all the rage these days. #BuzzwordAlert. But big data actually enables exactly what weâ€™re looking at discussing here: a better optimization approach.
Big Data means you get the full picture. You get statistical correlations. You get to see reality, and no longer need to ask yourself â€śWhyâ€ť something is happening. You have the information necessary to tell you what is most likely to happen under any given circumstance. Seeing the actual numbers-based correlations between objects, segments, decisions and their outcomes is the real gold mine derived from your data! More information shows more precise trends from input to output, which ultimately enables more specific and accurate decisions for search campaigns.
Generating a usable data set, though, isnâ€™t that easy. Youâ€™re likely collecting quite a bit of data, and with some additional tags or tools you can collect even more – but itâ€™s the unification and integration that is key. Unifying that data in a way that attributes the customer journey, the conversions events, and the revenue values back to the campaigns, keywords, and clicks that sourced them is required before any meaningful optimization actions can be used. Itâ€™s a necessary step to accomplish our goal: maximize performance.
The fact of the matter is that human beings, despite our extreme intelligence and ability to thoughtfully reason through situations, arenâ€™t capable of fully taking advantage of this big data set on our own. We need other tools as a â€śmiddle-manâ€ť. Iâ€™m not talking about spreadsheets, we need something that can process all this data every day, take notes of trends, and teach itself over time how the relationships are situated from click to revenue. Iâ€™m talking about letting the machines take over.
Iâ€™m a human, and if youâ€™re reading this I presume youâ€™re also a human. So you and I probably share the desire of not wanting machines to take over the world. Or take over our jobs. However, I feel very strongly that I do want machines to help make my life easier.
Machine learning is the type of artificial intelligence that should take over here. And it should take over specific parts of your program. The data crunching, the finding of correlations between segments in that big data, the calculations that ultimately generate a CPC bid that is the most accurate possible representation of what will lead your keywords to your revenue based on your desired optimization metrics.
Oh yeah, machine learning is another #BuzzwordAlert.
While Machine Learning is the obvious choice when dealing with big data in a field like search engine marketing, other automation is super valuable to put those calculations to work. SEM automation takes what was learned by crunching all your online and offline data, and pushes bids, bid modifier adjustments for different dimensions, and a host of other efficiency tactics.
Humans are Still Important. Really important.
Donâ€™t be fooled by all the discussion here of collecting data, processing it, and using machine learning. Nothing here can happen in a meaningful way without human intervention.
Human experience has been, and will be, the glue that keeps SEM programs running effectively. Machines enter to help save time, run more robust calculations, and execute better decisions from the available data. Machines can take grunt work off of our plates, but not the strategic and directional elements that only humans can accomplish.
Frankly, itâ€™s something we have to be thankful for! Not only are we getting better results when the machine is processing data and making bid calculations from the trends, but weâ€™re also freed up to think more creatively about the art and strategy for hitting our marketing goals.
It can feel unfamiliar to not be â€śin controlâ€ť of every bid decision, but relinquishing that control need not be too difficult once you reason through the cost/benefit. Itâ€™s a simple calculus: algorithmic bidding will execute far better for at-scale programs with big data sets, and better results benefit your business!
Big Data + Machine Learning + Human Experience
As an experienced marketer, youâ€™re likely focused on improving performance and increasing your bottom line through the channels you control. PPC has tremendous room for growth given the amount of data we can now capture about every stage of the customer journey. Your integrated data, particularly data pertaining to revenue, should be working for you.
If youâ€™re getting good results, but want to start turning that into consistently great results, you could read Jim Collinâ€™s Good to Great. Or, to dig deeper into how big data + machine learning + human experience all work together for SEM growth, read our new eBook.