Category: Data/Analytics

Analytics Advice

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Episode 77: Stop arguing over leads; start scoring them, with Gary Amaral

Disclaimer: The company featured here is not a sponsor of the show, nor have I affiliated with them. They simply bring a perspective that I think you’ll get some use from.

Two things are required to get a clear view of revenue growth. First, sales and marketing must come together to jointly-define the thresholds at each stage of a lead’s lifecycle. Second, they must apply points to a lead’s every action, either manually or by layering automation on this process. 

My guest believes that lead scoring systems not only bring pipeline visibility, they improve the collaboration between Sales & Marketing. In fact, he claims that by pooling their information on leads and letting AI find the patterns, they can tell when a lead is ready to buy, upsell, or churn. 

Gary Amaral held several positions at places like at BlackBerry & Hootsuite, always at the intersection of marketing and sales. Seeing how poor scoring led to frustration for all involved, he joined forces with two other serial startup entrepreneurs. 

In 2020 they co-founded Breadcrumbs, which is a revenue acceleration platform based on a co-dynamic lead scoring and routing engine. Listen for Gary’s advice on what you need to do to get scoring right. Just as good communication helps keep couples together, the Sales & marketing relationship needs good communication on the status of leads. Lead scoring could very well be the glue in this marriage. 

People/Products/Concepts Mentioned in Show

You can also check out these episodes involving lead scoring:

Episode Reboot.

Download Breadcrumb.io’s lead scoring template

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Episode 61: Tools for wrangling marketing data, with JD Prater

Disclaimer: The company featured here is not a sponsor of the show, nor have I affiliated with them. They simply bring a perspective that I think you’ll get some use from.

What needs to be done with marketing data to make it usable?

Essentially, it must be taken from its original source, formatted cleanly, and put into your database to be analyzed. This is handled by a process called ETL, Extract, Transform & Load. This process was done manually in olden days, but AI is now facilitating this task to be almost entirely done by technology. 

Our guest can help us get familiar with how this works because he approaches it more from a marketer’s perspective than a technical one. JD Prater has a background in the world of paid media marketing, probably the niche that’s most famous for doing detailed analysis on large amounts of data. He has recently become Marketing Lead at Osmos, the maker of a tool that uses AI to help companies with ETL work. Besides that, JD has done marketing in-house at Amazon and Quora, and worked on brands while with a PPC agency. Besides that, he’s well known for speaking on digital marketing and being involved with several podcasts, and when he’s not on dad duty, you’ll catch him somewhere in his home state of Oklahoma, out cycling on an open stretch of road.

People/Products/Concepts Mentioned in Show

Episode Reboot

Go take a product demo of some tool you might use.

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Episode 53: Digital Marketing in an AI World with Fred Vallaeys – Summer Books

Disclaimer: The company featured here is not a sponsor of the show, nor have I affiliated with them. They simply bring a perspective that I think you’ll get some use from.

Chess Grandmaster Garry Kasparov was famously beaten in 1997 by a supercomputer built by dozens of IBM technologists. A Slate article looking at how Deep Blue changed chess said “The change here wasn’t just that a computer could win, but that a computer could help human players win if incorporated into their training regimes effectively.”

The same thing is happening with PPC Platforms. Since 2011, Google has been integrating AI into many of their products, and every campaign feature Google Ads rolls out seems to take away control from us humans and give it to their machines. So if we’re going to follow Kasparov’ lead and get better at this game with the AI, the question becomes, what’s the process for training an ad platform’s AI, when it’s writing programming that only it knows, and even the technologists running it don’t know?

Some answers are contained in the book Digital Marketing in an AI World. Fred Vallaeys was one of the first 500 employees at Google where he spent 10 years building AdWords and teaching advertisers how to get the most out of it as Google’s AdWords Evangelist. Today he serves as Co-Founding CEO of Optmyzr, a PPC management software system. Fred is a fixture on the marketing conference circuit and blazed new trails with online industry learning through Optmyz’s PPC Town Halls. 

People/Products/Concepts Mentioned in Show

Episode Reboot: 

Remember, computers have a different kind of smarts than us.

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Episode 51: The AI Marketing Canvas with Raj Venkatesan – Summer Books

Are you looking at how your marketing can use AI? That’s good if you are, but it’s not enough to know how it works. Whether you are embedded in marketing operations or you’re an executive who oversees it, you must also figure out how to get your organization to buy into AI. You’ll need stakeholders who own precious data, you’ll need knowledge experts to train your models, you’ll possibly need operations folks to change what they deliver…as AI informs what you offer. Lastly, you’ll need money – getting that money will take you proving that investing in AI yields a positive ROI. So by now, you’re probably wondering how you can implement AI. Well, if you are, you will definitely be interested in the framework called the “The AI Marketing Canvas”

It’s all detailed in a book by the same name, co-authored by Raj Venkatesan, along with Jim Lecinski.

Professor Venkatesan is a professor at the Darden School of Business at U of Virginia. He is also a co-author of the book Cutting Edge Marketing Analytics. Before coming to Darden, Venkatesan taught graduate students at the University of Connecticut. There, he was the recipient of the MBA Teacher of the Year Award. He received his Ph.D. in marketing from the University of Houston and his B.E. in computer engineering from the University of Madras. He has consulted with firms in the technology, retailing, media, industrial goods and pharmaceutical industries. 

People/Products/Concepts Mentioned in Show

Framework’s 5 stages, reproduced with permission:

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Episode 41: How Google Analytics 4 Impacts Marketers with Jim Cain

In fall 2020, Google released version 4 of their Google Analytics tool (here is the official announcement of GA4). Despite its description as a new version, this is actually a brand new product. In fact, it’s part of Google’s switch to a whole new technology stack, and the ripples of their move extend to the remotest corners of a marketer’s world.

What do you need to know about GA4? For one, it has a different interface from the existing “Universal” version of GA. It doesn’t have some features and functions that you assume are in GA. At the same time, there are things that GA4 has that you haven’t been able to get before without paying for GA Premium. 

My guide for this tour of GA4 is Jim Cain, who founded the analytics consultancy Napkyn in 2009, one of only a few Premier Google Marketing Platform Solution Partners. If you want to know what to do about GA4, Jim will tell you how Napkyn is dealing with it in their client work.

People, products and Concepts mentioned on the show:

Episode Reboot

Set up a GA4 Property onto your existing GA account as soon as possible, to run it in parallel with GA3.