Connect with us

MARKETING

The myth of the single customer record

Published

on

Prepare for CDP implementation using a template for use cases

Sellers of Customer Data Platforms (CDP) promise their software will gather data from various applications, and assemble it into a single-source-of-truth “golden record” for each customer. 

It’s a lovely vision, but rarely achieved. And that’s perfectly okay. Most companies won’t achieve the goal of one record for each customer, but will find ways to cope with the limitations that prevent the creation of golden records.

Let’s use this common CDP use case to illustrate the complexity: Identifying customers among the hoards of anonymous visitors to your website. 

It’s a challenge. Anonymity was central to the internet’s design. And while there are lots of ways to identify anonymous website visitors, they all have their limitations. 

Imagine Robert Williams, our leading man and swing dance aficionado, interacts with Ella, publisher of (the fictitious, I believe) Ella’s Swing Dance Magazine.

Robert meets Ella on his commute to work. She tells him he ought to read her magazine. On his lunch break, Robert searches for the magazine website on the desktop he uses at the office. When Robert’s web browser makes a request to Ella’s Swing Dance Magazine website, Ella’s CDP puts a cookie on that device and creates a user profile. The profile includes the following information: 

Profile 1

IP address: 25.23.108.5
User-Agent: Mozilla/5.0 (Linux NT 10.0)
Referrer: https://www.google.com

The record might also include what pages were visited, and what type of content the visitor seems to prefer. The visitor is still anonymous to Ella’s CDP. The profile is one of the millions of unknown visitors.

When Robert gets home that evening, he types the URL of Ella’s website into his iPad. Her CDP dutifully puts a cookie on that device and creates a new profile. But on this visit, Robert decides to sign up for Ella’s free e-newsletter with one of his junk email addresses. The CDP captures the email address from the form submission and creates a second profile, which has more information than the first. 

Profile 2

IP address: 32.12.100.21
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_6)
Referrer: [blank]Email: [email protected]
Name: Bob Williams

However, nothing in this second records enables Ella’s CDP to conclude the records are tied to the same individual. The records were created on different devices at different times, and share no information identifying Robert. 

Two weeks later, Robert and Ella are jitterbugging at Mobtown Ballroom. Ella has a few copies of her magazine, and Robert takes one home. He signs up for a print subscription using one of the blow-in cards. Ella’s fulfillment service dutifully records this new subscriber data, which is then imported into the CDP, creating Robert’s third profile with still more information:

Profile 3

Name: Robert Williams
Address: 123 Main Street
City: Bowie
State: Maryland
Zip: 20715
Phone: (301) 555-1212
Email: [email protected]

This profile has valuable information, including a new email address. But this profile has no data from online activity, so it doesn’t help with online ad targeting or customer journey data.  

Robert now has three profiles in Ella’s CDP. There’s no way to merge any of them. We know they’re all Robert. The CDP doesn’t.

Fortunately, Ella’s magazine has the good sense to include some special online content for print subscribers as a way to link offline and online behavior. A QR code printed in the magazine allows Robert to view a video on the website about the Travelling Charleston. Robert scans the QR code with his iPad. That takes him to the website, where the CDP recognizes the cookie it put on that device earlier.

Bingo! Now Ella’s CDP can merge the iPad profile (#2) with the subscription information (#3). Several good things happen as a result: 

  1. Robert’s three profiles have been consolidated into two
  2. Robert has become a known user in Ella’s CDP
  3. Ella’s CDP knows that Robert uses two different email addresses
  4. Robert’s subscription information (offline behavior) and the profile created when he accessed Ella’s site from his iPad (online behavior) are now linked. 

The record created from Robert’s desktop remains anonymous.

Read next: 90% of marketers say their CDP doesn’t meet current business needs

Note that, in this scenario, Ella’s CDP has been configured to accept multiple emails in a customer’s profile. Some companies designate the email address as a unique field – allowing only one per profile. In that case, the records would not merge, and Robert’s subscription information would remain in its own profile, not connected to any online activity.

Will Ella’s CDP ever be able to attach Robert’s work computer to his online profile? Maybe. For example, if Robert opens one of Ella’s e-newsletters on his work computer, the CDP might (depending on how strict it is about such things) recognize that as Robert and merge the profiles. 

Identifying individuals from their online and offline behaviors and creating single records may seem complicated, but it’s quite a bit less confusing than what happens in real life. Consider the complexity added when Robert’s smartphone and home desktop are added to the equation.

Merging records: deterministic vs. probabilistic method. Which is right for you? 

The “golden record” that the CDP salesman is waving in front of you assumes that all these different sources of information can be merged, but they need to have a field in the record to merge on. What’s that going to be?

Most companies opt for an email address as the best piece of personally identifiable information on which to merge records. But as we’ve seen, and as we all know, people have multiple email addresses. They also change over time. 

If you stick with a strictly deterministic matching method, you’ll need to match a unique field (like an email address or a social media account) across multiple profiles to create your “golden record,” and you’ll inevitably leave some information behind.

There are other options. Some CDPs use probabilistic methods to merge profiles. That method enables you to match records that might otherwise remain distinct. But you risk incorrectly merging profiles and creating a customer experience headache.

(Read this article for an in-depth comparison of deterministic and probabilistic matching.) 

You can’t create a single record for each customer that covers all the chaos and weird realities of how people behave. What you can do, and what you must do, is decide where that matters.

There are use cases where improperly merged profiles yield very bad customer experience outcomes. Stick with deterministic matching in those cases, even though you’re going to lose some of the data on interactions with that customer. You’ll have multiple profiles for some individuals, many of which will remain “unknown.”

Other use cases are far more forgiving. If you want to create a segment of people who share a particular interest, you don’t need to get down to the individual. In these cases, probabilistic methods are sufficient. 

In any event, recognize that “golden records” are a nice idea, but you’ll never actually get there.


Get the daily newsletter digital marketers rely on.



Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.


About The Author

Greg’s decades-long career in B2B and B2C publishing has included lengthy gigs in editorial, marketing, product development, web development, management, and operations. He’s an expert at bridging the intellectual and cultural divide between technical and creative staff. Working as a consultant, Greg solves technology, strategy, operations, and process problems for publishers. His expertise includes Customer Data Platforms, acquisition and retention, e-commerce, RFPs, fulfillment, and project management. Learn more at krehbielgroup.com.

Source link

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

MARKETING

Why We Are Always ‘Clicking to Buy’, According to Psychologists

Published

on

Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

(more…)

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

MARKETING

A deeper dive into data, personalization and Copilots

Published

on

A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

Source link

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

MARKETING

Why The Sales Team Hates Your Leads (And How To Fix It)

Published

on

Why The Sales Team Hates Your Leads (And How To Fix It)

Why The Sales Team Hates Your Leads And How To

You ask the head of marketing how the team is doing and get a giant thumbs up. 👍

“Our MQLs are up!”

“Website conversion rates are at an all-time high!”

“Email click rates have never been this good!”

But when you ask the head of sales the same question, you get the response that echoes across sales desks worldwide — the leads from marketing suck. 

If you’re in this boat, you’re not alone. The issue of “leads from marketing suck” is a common situation in most organizations. In a HubSpot survey, only 9.1% of salespeople said leads they received from marketing were of very high quality.

Why do sales teams hate marketing-generated leads? And how can marketers help their sales peers fall in love with their leads? 

Let’s dive into the answers to these questions. Then, I’ll give you my secret lead gen kung-fu to ensure your sales team loves their marketing leads. 

Marketers Must Take Ownership

“I’ve hit the lead goal. If sales can’t close them, it’s their problem.”

How many times have you heard one of your marketers say something like this? When your teams are heavily siloed, it’s not hard to see how they get to this mindset — after all, if your marketing metrics look strong, they’ve done their part, right?

Not necessarily. 

The job of a marketer is not to drive traffic or even leads. The job of the marketer is to create messaging and offers that lead to revenue. Marketing is not a 100-meter sprint — it’s a relay race. The marketing team runs the first leg and hands the baton to sales to sprint to the finish.

​​

via GIPHY

To make leads valuable beyond the vanity metric of watching your MQLs tick up, you need to segment and nurture them. Screen the leads to see if they meet the parameters of your ideal customer profile. If yes, nurture them to find out how close their intent is to a sale. Only then should you pass the leads to sales. 

Lead Quality Control is a Bitter Pill that Works

Tighter quality control might reduce your overall MQLs. Still, it will ensure only the relevant leads go to sales, which is a win for your team and your organization.

This shift will require a mindset shift for your marketing team: instead of living and dying by the sheer number of MQLs, you need to create a collaborative culture between sales and marketing. Reinforce that “strong” marketing metrics that result in poor leads going to sales aren’t really strong at all.  

When you foster this culture of collaboration and accountability, it will be easier for the marketing team to receive feedback from sales about lead quality without getting defensive. 

Remember, the sales team is only holding marketing accountable so the entire organization can achieve the right results. It’s not sales vs marketing — it’s sales and marketing working together to get a great result. Nothing more, nothing less. 

We’ve identified the problem and where we need to go. So, how you do you get there?

Fix #1: Focus On High ROI Marketing Activities First

What is more valuable to you:

  • One more blog post for a few more views? 
  • One great review that prospective buyers strongly relate to?

Hopefully, you’ll choose the latter. After all, talking to customers and getting a solid testimonial can help your sales team close leads today.  Current customers talking about their previous issues, the other solutions they tried, why they chose you, and the results you helped them achieve is marketing gold.

On the other hand, even the best blog content will take months to gain enough traction to impact your revenue.

Still, many marketers who say they want to prioritize customer reviews focus all their efforts on blog content and other “top of the funnel” (Awareness, Acquisition, and Activation) efforts. 

The bottom half of the growth marketing funnel (Retention, Reputation, and Revenue) often gets ignored, even though it’s where you’ll find some of the highest ROI activities.

1716755163 123 Why The Sales Team Hates Your Leads And How To1716755163 123 Why The Sales Team Hates Your Leads And How To

Most marketers know retaining a customer is easier than acquiring a new one. But knowing this and working with sales on retention and account expansion are two different things. 

When you start focusing on retention, upselling, and expansion, your entire organization will feel it, from sales to customer success. These happier customers will increase your average account value and drive awareness through strong word of mouth, giving you one heck of a win/win.

Winning the Retention, Reputation, and Referral game also helps feed your Awareness, Acquisition, and Activation activities:

  • Increasing customer retention means more dollars stay within your organization to help achieve revenue goals and fund lead gen initiatives.
  • A fully functioning referral system lowers your customer acquisition cost (CAC) because these leads are already warm coming in the door.
  • Case studies and reviews are powerful marketing assets for lead gen and nurture activities as they demonstrate how you’ve solved identical issues for other companies.

Remember that the bottom half of your marketing and sales funnel is just as important as the top half. After all, there’s no point pouring leads into a leaky funnel. Instead, you want to build a frictionless, powerful growth engine that brings in the right leads, nurtures them into customers, and then delights those customers to the point that they can’t help but rave about you.

So, build a strong foundation and start from the bottom up. You’ll find a better return on your investment. 

Fix #2: Join Sales Calls to Better Understand Your Target Audience

You can’t market well what you don’t know how to sell.

Your sales team speaks directly to customers, understands their pain points, and knows the language they use to talk about those pains. Your marketing team needs this information to craft the perfect marketing messaging your target audience will identify with.

When marketers join sales calls or speak to existing customers, they get firsthand introductions to these pain points. Often, marketers realize that customers’ pain points and reservations are very different from those they address in their messaging. 

Once you understand your ideal customers’ objections, anxieties, and pressing questions, you can create content and messaging to remove some of these reservations before the sales call. This effort removes a barrier for your sales team, resulting in more SQLs.

Fix #3: Create Collateral That Closes Deals

One-pagers, landing pages, PDFs, decks — sales collateral could be anything that helps increase the chance of closing a deal. Let me share an example from Lean Labs. 

Our webinar page has a CTA form that allows visitors to talk to our team. Instead of a simple “get in touch” form, we created a drop-down segmentation based on the user’s challenge and need. This step helps the reader feel seen, gives them hope that they’ll receive real value from the interaction, and provides unique content to users based on their selection.

1716755163 298 Why The Sales Team Hates Your Leads And How To1716755163 298 Why The Sales Team Hates Your Leads And How To

So, if they select I need help with crushing it on HubSpot, they’ll get a landing page with HubSpot-specific content (including a video) and a meeting scheduler. 

Speaking directly to your audience’s needs and pain points through these steps dramatically increases the chances of them booking a call. Why? Because instead of trusting that a generic “expert” will be able to help them with their highly specific problem, they can see through our content and our form design that Lean Labs can solve their most pressing pain point. 

Fix #4: Focus On Reviews and Create an Impact Loop

A lot of people think good marketing is expensive. You know what’s even more expensive? Bad marketing

To get the best ROI on your marketing efforts, you need to create a marketing machine that pays for itself. When you create this machine, you need to think about two loops: the growth loop and the impact loop.

1716755163 789 Why The Sales Team Hates Your Leads And How To1716755163 789 Why The Sales Team Hates Your Leads And How To
  • Growth loop — Awareness ➡ Acquisition ➡ Activation ➡ Revenue ➡ Awareness: This is where most marketers start. 
  • Impact loop — Results ➡ Reviews ➡ Retention ➡ Referrals ➡ Results: This is where great marketers start. 

Most marketers start with their growth loop and then hope that traction feeds into their impact loop. However, the reality is that starting with your impact loop is going to be far more likely to set your marketing engine up for success

Let me share a client story to show you what this looks like in real life.

Client Story: 4X Website Leads In A Single Quarter

We partnered with a health tech startup looking to grow their website leads. One way to grow website leads is to boost organic traffic, of course, but any organic play is going to take time. If you’re playing the SEO game alone, quadrupling conversions can take up to a year or longer.

But we did it in a single quarter. Here’s how.

We realized that the startup’s demos were converting lower than industry standards. A little more digging showed us why: our client was new enough to the market that the average person didn’t trust them enough yet to want to invest in checking out a demo. So, what did we do?

We prioritized the last part of the funnel: reputation.

We ran a 5-star reputation campaign to collect reviews. Once we had the reviews we needed, we showcased them at critical parts of the website and then made sure those same reviews were posted and shown on other third-party review platforms. 

Remember that reputation plays are vital, and they’re one of the plays startups often neglect at best and ignore at worst. What others say about your business is ten times more important than what you say about yourself

By providing customer validation at critical points in the buyer journey, we were able to 4X the website leads in a single quarter!

1716755164 910 Why The Sales Team Hates Your Leads And How To1716755164 910 Why The Sales Team Hates Your Leads And How To

So, when you talk to customers, always look for opportunities to drive review/referral conversations and use them in marketing collateral throughout the buyer journey. 

Fix #5: Launch Phantom Offers for Higher Quality Leads 

You may be reading this post thinking, okay, my lead magnets and offers might be way off the mark, but how will I get the budget to create a new one that might not even work?

It’s an age-old issue: marketing teams invest way too much time and resources into creating lead magnets that fail to generate quality leads

One way to improve your chances of success, remain nimble, and stay aligned with your audience without breaking the bank is to create phantom offers, i.e., gauge the audience interest in your lead magnet before you create them.

For example, if you want to create a “World Security Report” for Chief Security Officers, don’t do all the research and complete the report as Step One. Instead, tease the offer to your audience before you spend time making it. Put an offer on your site asking visitors to join the waitlist for this report. Then wait and see how that phantom offer converts. 

This is precisely what we did for a report by Allied Universal that ended up generating 80 conversions before its release.

1716755164 348 Why The Sales Team Hates Your Leads And How To1716755164 348 Why The Sales Team Hates Your Leads And How To

The best thing about a phantom offer is that it’s a win/win scenario: 

  • Best case: You get conversions even before you create your lead magnet.
  • Worst case: You save resources by not creating a lead magnet no one wants.  

Remember, You’re On The Same Team 

We’ve talked a lot about the reasons your marketing leads might suck. However, remember that it’s not all on marketers, either. At the end of the day, marketing and sales professionals are on the same team. They are not in competition with each other. They are allies working together toward a common goal. 

Smaller companies — or anyone under $10M in net new revenue — shouldn’t even separate sales and marketing into different departments. These teams need to be so in sync with one another that your best bet is to align them into a single growth team, one cohesive front with a single goal: profitable customer acquisition.

Interested in learning more about the growth marketing mindset? Check out the Lean Labs Growth Playbook that’s helped 25+ B2B SaaS marketing teams plan, budget, and accelerate growth.


Disruptive Design Raising the Bar of Content Marketing with Graphic

Source link

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