Account Based Analytics
Article | August 3, 2022
This article was originally published in the MarketingSherpa email newsletter.
You can’t work in the marketing industry these days without constant talk of data. Data-driven marketing. Big data. Marketing analytics. Facebook is worth more than $650 billion, and it’s not because cat pics and grilled cheese sandwich selfies are so valuable. It’s because Facebook is just a big ol’ bag of user data.
But I must admit and you might find yourself in the same boat using data doesn’t come naturally to me. I work in marketing because I’m a creative, not a statistician.
If you feel the same way, here is an analogy that changed my mind. I was interviewing Wharton’s Peter Fader and Sarah Toms. We were discussing how Electronic Arts used data to improve the product. “When they realized the power of the data that Pete was just talking about, they had a bit of a crisis about identity. They're like, ‘but we're a creative company. How can we now be all data, all the time?’” Toms said.
Zach Anderson, the chief analytics officer at Electronic Arts, won over those creative hearts and minds with this analogy: Cooking competitions shows where the chefs are doing incredibly creative things with ingredients that are given to them.
So data is really just another ingredient you have at your disposal as you make your creative take on a classic matzoh ball soup or marketing campaign.
“Data is actually a good thing that they should be embracing because it allows them to be even more creative,” Toms said.
So with that approach in mind, let’s look at a few examples of using data as a force for the good while improving marketing results.
Example #1: Focused view of data helps nonprofit that sells through ecommerce identify the best opportunity for revenue increase
Data can quickly become overwhelming. So many numbers. How do you find the opportunity?
TenbyThree© is a nonprofit that actually sells products. The charity sells baskets created by artisans in rural communities of developing countries to help the artisans pull themselves out of extreme poverty.
And it had a whole lot going on with its team pulled in many directions. Where to focus? That focus because particularly important with the rise of COVID-19.
TenbyThree mostly sold these baskets in brick-and-mortar locations like Whole Foods Market, Disney theme parks and specialty retailers. But with the pandemic came a massive drop in foot traffic and thus sales, so the nonprofit has tried to increase ecommerce sales through its website.
The MECLABS Institute team (parent organization of MarketingSherpa) worked with TenbyThree to determine where to focus its conversion optimization discoveries.
This data analysis uncovered an opportunity hidden in plain sight product tags. Each basket sold in stores had a tag with information on how to connect with the individual artisan who created the basket by going to TenbyThree’s website.
Very few customers were using this feature. If the tags could be optimized to get more people to use the website’s artisan lookup feature, that increase in traffic would also likely help produce an increase in sales through the website.
In The Marketer as Philosopher Episode 2, The Data Pattern Analysis: 3 ways to turn info into insight you can see the methodical approach used to uncover this data insight to help you identify more opportunities in your own data. The episode also teaches viewers how to use a Data Pattern Analysis Tool (you can download the tool for free here).
To get more data help, you can participate in a Live Coaching Session with Flint McGlaughlin, CEO and Managing Director, MECLABS Institute, on Thursday, August 20th 2020, from 1 p.m. to 2 p.m. EDT. In this Q&A session, participants will learn how to set up and use the Data Pattern Analysis Tool, simplify their data with three key dials, and apply the principles of The Marketer as Philosopher: Episode 2 to their own company.
Example #2: Targeted database helps tent maker pivot
It would be an understatement to say that COVID-19 has forced businesses to make significant changes. We’re all living it, we all know the impact.
But some changes are more difficult than others. When that change is to focus on a new ideal customer, it can be difficult to pivot quickly. Many companies have built their customer base and customer contacts over many years.
This is where external data can be helpful.
For example, TentCraft sells tents to event producers for concerts. But the events industry halted worldwide in March. While the team always knew they were too narrowly focused on just one industry and should diversify the business, they never got around to acting on it.
But as the saying goes, necessity is the mother of invention.
Suddenly they needed to pivot their entire go-to-market approach and find a new target customer quickly. The team came up with the idea to turn concert tents into drive-thru COVID-19 testing facilities, but they never sold to hospitals and didn’t know any hospital administrators.
The team looked for a way to quickly enter a new market without increasing overhead. They worked with ZoomInfo to get data and insights for hospitals and other healthcare systems.
They used the company and contact search to quickly execute a layered approach. The marketing team would start with a broader approach to outreach building an outreach list of 2,000 to 3,000 contacts. Based on open rates, responses and conversations, they learned not only about the specific roles they should be targeting but also what their pain points were.
The sales team would use this information to create a more targeted outreach list of 100 to 200 contacts and then tailor messaging and visuals to demonstrate how TentCraft could address the specific pain points.
The click-to-open rate for the broader emails ranged from 15% to 28% while the more targeted lists typically ranged from 35% to 45% with a handful nearing 60%. Keep in mind, when you see those numbers, that this was all cold outreach.
Because they had phone numbers, job titles and location data, the marketing team was able to supply this information to the sales team in real-time when emails were being opened and links being clicked. This helped the teams prioritize, move to conversation quicker and shorten the sales cycle.
Over $600,000 in revenue disappeared in March alone, but during the first two months of this pivot the company booked more than $2 million in revenue, and April was the biggest revenue month in company history (during a pandemic with the core revenue shut off). They are now 12% ahead of last year’s pace. In the first month of the pivot, they went into contract with more than 100 healthcare facilities which, remember, is an industry the tent maker had no prior experience with.
This pivot was reactive. And while it has worked out thus far, the mindset in the company has now changed.
“A big takeaway for our team is that we need to always be pivoting to new markets, new products, features and partners. That means pairing speed and agility with execution,” said Matt Bulloch, President, TentCraft.
Example #3: Test data shows the benefits of value sequencing for HR software
There may be many elements of appeal in your company’s value proposition. But your customer may not be ready to receive them all at once. That’s why effective value sequencing is so important.
Where in the customer journey should the customer be introduced to different elements of your company’s value? Data can help show you the way.
David Richter wanted to use marketing data to discover how to position his company’s brand and the messaging used at each stage of the marketing funnel.
Richter works for CIPHR, a software platform that serves HR departments. “It’s a crowded market, and in any one year we find ourselves competing with upwards of fifty different vendors. In terms of functionality, it’s incredibly rare that any one provider has a distinctive edge over the entirety of the market. If functionality does get developed that is a game changer, then it’s quickly replicated by other similar providers,” said Richter, Director of Marketing, CIPHR.
The one thing that sets CIPHR apart, according to Richter, is its attitude to integrating its people management platform with specialist, third-party tools. Since larger competitors have strategically acquired complementary businesses, they are less incented to integrate with third-party tools they don’t own, Richter says.
However, Richter had concerns about leading with this “connectivity” in marketing communications.
“Connectivity is the USP (unique selling proposition) that CIPHR has hung our hat on in our marketplace and the position we want to build a strong brand around,” he said. “The trouble is that, at the initial point of engagement, most HR professionals, when looking for an HR system, aren’t thinking about what it can integrate with.”
Including terms like “API” or “integration” in subject lines cut the HR SaaS platform’s email open rate in half. Approximately two-thirds of all sales leads are generated through CIPHR’s website, so getting the messaging optimized for conversion is essential.
To prove to the senior leadership that CIPHR should tailor the focus of its messaging through each stage of the sales cycle, Richter’s team decided to try different messaging on various landing pages on the website. The landing pages were only used for PPC traffic from the same, exact match keywords with the same ads displayed to generate the click.
Landing page headline #1 — Generic HR Software with benefits message, e.g., “HR Software that reduces admin and helps you to work more efficiently,” converts traffic to inquiry at 14.1%.
Landing page headline #2 — HR Software with connectivity message, e.g., “HR Software with brilliant connectivity,” converts traffic to inquiry at 10.2%.
Landing page headline #3 — Connectivity message with no mention of HR Software, e.g., “Connect your people data throughout your organization,” converts traffic to inquiry at 6.4%.
Armed with this data, CIPHR’s leadership is now happy to lead with relevant, product and benefit-led messaging on the website (pre-engagement) that positions connectivity as the differentiator. “We now also have a strong lead nurturing campaign to educate leads about the benefits of connectivity,” Richter said.
Example #4: Online meditation school’s A/B testing on blog doubles student enrollment rate
If you engage in A/B testing, you can learn from real customer behavior to serve your customers better while improving results. Here’s an example.
“In building our platform, we have seen immense success from using a data-driven approach for most of our marketing decisions,” said Kyle Greenfield, Founder, TheJoyWithin.org. “One example is how we used Google Optimize testing combined with heatmap and flow data from Hotjar to improve our blog layout.”
The online school for meditation, happiness, and personal empowerment discovered that less than 1% of blog readers were signing up for a free meditation course. The bounce rate was between 79-81% even though most readers were spending three to five minutes on the site.
The team tested two elements of the blog's layout the sidebar and one inline internal ad placement.
The team tested a new approach to be more direct about different options new students have on the platform. They moved away from a banner ad with the headline “Discover a Clear, Modern Path to Bliss” coupled with a list of potential benefits. The new approach was a direct question to the user, asking “How Can We Help?” coupled with a one-sentence explanation of what was offered, and three possible paths: “learn how to meditate,” “increase my happiness,” and “manifest my dream life.”
They tested different variations of this idea, and ultimately found that making the message clearer and more direct, with fewer graphics and design elements, resulted in better conversion.
This change was combined with testing of the placement of the inline ad. It began as a top-line insert before the post. But the team discovered that users were more engaged when the ad was placed a few paragraphs into the blog post. The previous data informed this decision, since the team knew users were already reading the content and scrolling down the page.
With this change, the team was able to more than double student enrollment rates and reduce bounce rate by 12.5%, to 70%.
Example #5: Incubator generates 300 leads to help the fight against hunger
For marketers looking to do good in the world, sometimes they overlook a data basic your website should have a landing page with the ability to capture data from those interested in helping the cause.
For example, Not Impossible Labs (NIL) describes itself as a one-of-a-kind technology incubator and content studio dedicated to changing the world and making the impossible possible for individuals faced with a range of problems (what it calls “absurdities”).
Most recently, NIL tackled the absurdity of hunger, made all the more pressing by the COVID-19 pandemic. Prior to the pandemic, NIL began working with Salesforce and Postmates on a prototype platform to feed insecure people at scale. The incubator created a text-based service that connects people in need of food with pre-paid, nutritious, to-go meals from nearby restaurants. A child or family in need of food can text “hungry” and the solution connects them with nearby restaurants with extra food that would likely go to waste.
In March of 2020 when the pandemic hit the United States, NIL was in the midst of deploying programs across the country to serve some of the 42 million people, of which 15.9 million are children, who go hungry each year.
How did they make it possible or should I say, not impossible to fight hunger? A marketing landing page.
Verndale and Sitecore offered pro bono help to create a landing page on the site to capture information from visitors in a form connected to a customer relationship management (CRM) platform to store the data.
“We kept everything simple, from messaging and experience design, to providing several frictionless pathways to get involved. More conversion points created more opportunities to engage,” said Ross Lucivero, Manager Director of Verndale's Los Angeles office.
NIL was able to gather data on approximately 300 leads who were ready to give, partner, spread the word, nominate a new city or get involved in their local community.
“The newfound capability to capture individual leads as well as scale our ability to re-engage audiences is a game-changer,” said Joseph Babarsky, Director of Strategy & Partnerships, Not Impossible Labs.
That re-engagement relies on the ability to have the data about who has visited the landing page previously and then present another marketing message to them a call-to-action on the Not Impossible homepage for those who have visited the Hunger campaign page but had not converted through a form submission or donation. “This customized prompt re-engages informed visitors and drives them back to the campaign environment to take action,” said Liz Spranzani, EVP of Technology, Verndale.
“If you have an open mind the seemingly impossible can become possible. You can see this proven time and again through the work Not Impossible Labs has done to help individuals with a range of disabilities and, of course, with their hunger project,” said Paige O’Neill, CMO, Sitecore.
Example #6: The inner workings of a customer review site
Most discussions I’ve seen about data use in marketing focuses on categorizing how the data is collected. First-party data is collected by the company itself, and third-party data is sold to you by a company that aggregates data from many other companies.
In addition to how data is collected, you should also consider how customers experience data. I would categorize that data in two ways data you control and data you don’t.
The data you control might be in your advertising or your website, like “Nine out of ten dentists recommend Brusha Brusha toothbrushes.”
The data you don’t control can be shared in the press or social media, and especially on review sites. One example is a site called Best Company.
“The entire mission of Best Company is to harness data to improve the decision-making process for consumers across several industries. As a company, we believe we are changing the world for good by empowering consumers to make the best possible decisions with their money. We are a truly independent and impartial review site, promising accurate rankings and honest reviews and refusing to reward unmerited ranks for money,” said Rebecca Graham, Content Manager, Best Company.
What this means for your company is that customers’ product and service experience is also part of your marketing. The more you can control and optimize the experience, the more you can optimize this type of data for your brand. “When reviews are available for all to see, companies practicing business with high value and integrity will naturally emerge as reputable leaders, whereas less trustworthy companies drop lower in rank,” Graham said.
You can also learn from these websites as well. They provide valuable customer intelligence about how your brand is being perceived by real customers as well as opportunities for social proof and third-party credibility you can leverage in your marketing. “For example, on business lender Lendio's reviews page, prospective clients can see breakdowns of the star ratings on 400+ verified customer reviews, including the ratings of sentiment criteria like value for your money and customer service. Lendio, which currently has an average of 4.7/5 stars from customer reviews, can leverage the data referenced above by sharing on social media and through content marketing and email marketing copy,” Graham said.
So pull out your company’s value proposition, take a look at how you express it in your marketing, and then see where customers agree and disagree. Where can you learn from customers to express elements of value in your marketing that customers are experiencing but you’re not communicating well? For example, Cotton Mask Co. discovered that its face masks were especially helpful to hearing aid wearers by monitoring customer reviews, and pivoted its marketing accordingly.
But also, take a good hard look at the reviews and determine where your brand falls short. Is it because customers assume your company has a certain element of value that isn’t part of your stated value proposition? If so, change your marketing to clarify. Or is it just that your company is not living up to its value proposition? In that case, you have the data to show why the marketing department should get involved in the customers’ product and service experience to improve it.
Since consumer reviews platforms provide data to customers when they are considering a purchase decision, it is important for brands to understand how they operate. So I asked Graham for a bit of an inside look at Best Company. There’s some she couldn’t share (like how their algorithm works), but I hope the below mini-interview helps you get a better understanding of how this data about your company ends up online and a little more about the companies that put it there.
MarketingSherpa: How do you make money? What is your business model?
Rebecca Graham: Our two revenue streams come from:
1) Lead generation for affiliate partnerships
2) Business Suite subscriptions.
Like many sites, we may be compensated through affiliate relationships with the companies on BestCompany.com. But we do not have any relationships with companies that guarantee or impact their ranking or score and we never will.
A basic profile is free for any qualifying company in the United States. The purchase of our B2B Business Suite reputation management product can't bump up your brand's rank, but it can provide traffic-based insights regarding your profile page as well as enhance it for improved visual aspects and thoroughness, such as featuring product images and videos, adding an FAQ section and highlighting how you stand out from your competitors.
MS: How do you get reviewers? How do you verify them?
RG: Best Company receives thousands of review submissions each week. Every review that is submitted goes through a very thorough moderation process to ensure its accuracy prior to it being published on BestCompany.com.
Reviews are generated in four ways:
1) Organic and direct traffic, i.e., from users visiting our site
2) BestReviews, our review generation process in which we collect reviews from customers on behalf of the company. We offer fully managed email and phone review solicitations for companies with customer contact lists as well as a custom form for companies to utilize for outreach themselves.
3) Reviews from charity and fundraising groups
4) Reviews solicited from our members
ALL reviews, whether organic or company-solicited, are subject to our review moderation process, which include email address verification and analysis via our fraud threshold algorithm (the details of which we do not divulge in order to prevent companies from trying to “game” the system).
Furthermore, Best Company reserves the right to reject or remove reviews that violate our standards, which includes content that does not relate to the company or company's service being reviewed, appears to be incentivized, or contains false information.
We also encourage consumers to resubmit reviews with their most up-to-date experience with a company.
MS: How do you ensure your data isn’t manipulated by companies to make themselves look better?
RG: Here are a few of the protocols we have in place to ensure accurate claims regarding the data on our site:
Companies are not given a numbered rank until they have at least 10 reviews on their profile.
Badge accreditations are only made available to companies meriting them (such as #1 ranked company or a position in the Top 10)
A company cannot hide or delete negative reviews from their BestCompany.com profile
Best Company believes the moderated reviews published on its site to be valid unless proven otherwise by the company with factual evidence of false information, moderation errors, or duplicate reviews. More information regarding disputes can be found here.
Example #7: Independent financial adviser cites his sources to build credibility
This next example is a bit of a different take on using data in marketing, but I thought it was worth bringing to you because I’ve noticed the marketing industry has a rampant problem with crediting sources.
There are so many bold-faced marketing claims that shout and brag. But why should anyone believe those claims?
Alec Tuckman shared with me the story of a seminar he was conducting about stock market performance. He was frequently challenged by an attendee.
“Not wanting to make him look bad in front of his spouse, I did not get confrontational or upset, I simply pulled out a thick notebook full of Wall Street Journal clippings I have compiled over the last five years,” said Tuckman, owner/operator, Wealth Management Partners of Los Angeles.
Every one of those articles was supportive material for the statements Tuckman made about the market. While he didn’t get the business from that particular attendee, Tuckman felt that it gave him instant credibility. “Data is the best marketing tool,” he said. “Being able to cite a credible, well-known source gives you credibility.”
But don’t just cite any data, or you may end up hurting your brand’s credibility. “Make sure the data is from a reliable source. I wouldn’t recommend quoting something you read from a friend on Facebook IM when you’re trying to prove you are an expert on a particular subject like the stock market. Make sure you are sourcing material from credible sources like Kiplinger’s, The Wall Street Journal, Forbes and Bloomberg,” Tuckman advised.
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Programmatic ABM
Article | June 9, 2022
Is ABM just Another Bullshit in Marketing* or a path to success? After some exciting years of establishing and experiencing ABM, I think, there is clearly a potential for both: a chance for a significant contribution to success, or just another bullshit.
There are many paths in both directions (succeed or bullshit) - below are some thoughts and personal observations - and I leave the decision with you!
ABM and the Relationship with Sales:There is no chance for ABM if you are not working in lockstep and partnership with sales. Anything else is just bullshit.
The Right Balance to Scale ABM,1:1 ABM vs. ABM at Scale:Both approaches have their reasons and value. As ABM at scale is often discussed, the key question is: what makes the approach account based? Applying ABM methods in a scaled environment is an enormous chance to put more customers into the center, especially if 1: few is seen as a scaled 1:1 (and not as a small 1: many). Account insights are used for better planning, personalization, messaging, and content development – the right balance is the key. The chance of scaling ABM to death is relatively high - then just don't call it ABM.
From Pipeline Only to Customer Loyalty:What is the expected outcome? This quarter’s pipeline? Or a long-term successful relationship with a loyal customer? How will you measure success in such a customer relationship? There are extensive lists of KPIs for ABM. Leads are normally not part of it - for a reason.
My view is: Finally, ABM has to contribute to the business, especially in the long-term. It is relatively easy to realize short-term success, but will your accounts be loyal customers over the years? Will they grow over time or only for a quarter? Defining joint goals for sales and ABM and committing as peers to customer lifecycle-related goals, not just single deals, reduces the risk of delivering bullshit.
Is Your Approach "Marketing for Accounts" or "Account Based"?
There is value in both in marketing for accounts and in account-based marketing. If you label it “ABM,” make it account-based. Ideally, you look at your data and insights and decide: is that enough to make it an ABM approach? If so, great! If not, fix your data. My company invested an enormous effort in fixing the data and developing an innovative view of our accounts.
Listen to Your Customers! That's something I do by myself, and I ask my team to do so, too.
Have you ever asked your customer (humans, people, executives - not data) how your ABM was received? Do they value what you do for them, and what exactly makes the difference between all the many newsletters and emails they receive? We measure everything we do, but we do not really measure what we don't do. What do you think about it?
*By the way, the "bullshit statement" was made by a sales leader in one of my first ABM presentations in front of his team. We have proven multiple times the opposite, but to be constantly successful, we have to challenge ourselves daily: Is that really ABM what I do? Can I prove it? What is the expected short-term and long-term outcome? What will my customer think about it? One has to reflect on these questions.
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Buyer Intent Data
Article | August 23, 2022
Recently, Contentgine, a content-based marketing agency, released its latest ‘Top 5’ research ranking for popular artificial intelligence (AI) related content consumed by B2B decision-makers. The content assets, mostly e-books, that made it to the list focus on predictive analytics, cloud-based machine learning (ML) technologies, deep data analytics, and more.
But why are B2B decision-makers so curious about AI and ML?
They want to use AI and ML-based solutions effectively to streamline their business processes and improve their marketing strategies.
Digital transformation, heightened consumer expectations, and changing buyer dynamics govern the way B2B decision-makers utilize their resources. Let us look at what is making them seek AI and ML-related content on such a high scale:
AI Simplifies Decision-Making
A survey conducted by SurveyMonkey concluded that 6 out of 10 B2B decision-makers experience decision paralysis—difficulty in choosing an option from a few viable ones—more often than expected. Furthermore, reaching a consensus becomes cumbersome if too many stakeholders are involved in the decision-making process. In such sticky situations, AI algorithms come to the rescue. They leverage heterogeneous data from social media, reports, website activity and more, to offer insights on management and resource allocation, assist in troubleshooting problems and aid strategic development. They alleviate issues that insufficient data and a lack of proper tools to measure metrics pose. They present a clear picture in front of the decision-makers to enable them to make an informed decision.
Assists in Lead Generation
Forget archaic, standard prospecting tools. You can effortlessly conduct lead generation research using various complex parameters with AI-powered tools. You can also analyze customer behavior, create dynamic, intuitive, secure and valuable lead lists. Sifting through massive lead generation data to discover the client profiles that match your ICP gets easier. On the other hand, ML helps with demand prediction, churn prediction, local optimization, and sentiment analysis, so you can offer an excellent customer experience to your leads. AI lead generation tools such as Conversica, Drift, and LeadCrunch can have conversations with your leads, collect their email addresses, and qualify them even before handing them off to the sales teams. AI-powered lead scoring can help you identify intent signals that your marketing teams might have missed.
Optimizes Content Strategy
Let’s face it. You don’t want to sell Eskimo ice. Irrelevant content sabotages your chances of creating a lasting relationship with your prospects. Your content should align with your customer’s needs and pain points. Thanks to machine learning, deep content personalization is possible. ML can analyze content assets on your website and send the relevant ones to a prospect at the right time based on their position in the buyer’s journey.
AI and ML Are Changing the Game for B2B Businesses
According to an O’Reilly survey commissioned by MemSQL, 71% of executives said that ML and AI are game-changers for their business. B2B decision-makers are investing their resources in exploring the advantages of AI and ML in-depth. They are keen to implement AI systems and ML-based solutions to eliminate human errors, continuously analyze vast amounts of raw data, and harness structured solutions to problems they face in executing their business processes.
VMWare Uses Acrolinx to Streamline Content Program
AI-enabled content solution Acrolinx offered VMWare real-time dashboards on the results of its content activity. The qualitative report helped VMWare focus its resources on making its content better so that it could get more conversions.
Closing Thoughts
“AI will increasingly determine which firms win and which firms lose.” - Phil Clement, former CMO of Aon.
“AI will increasingly determine which firms win and which firms lose.” - Phil Clement, former CMO of Aon. AI and ML can significantly impact business operations and marketing campaigns in the B2B domain. To have a competitive edge in the market, understanding their importance and figuring out where and how to use their power will no longer be a choice but a necessity.
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Buyer Intent Data
Article | October 7, 2022
In 2018, Demand Gen Report’s ABM Benchmark Survey found that 25% of participating B2B companies used buyer intent data and monitoring tools. 35% of them planned on using intent data within a year. Cut to 2022, and about 99% of B2B marketers are using some form of B2B intent data in their marketing campaigns to target accounts (Source: InboxInsight).
In his exclusive interview with Media 7, Gil Allouche, CEO of Metadata.io, talked about how data helps convert leads.
“With access to valuable data, marketers are focused on leads that are more likely to become buyers. They can also work on targeting their messaging towards these potential buyers.”
Buyer intent data helps in creating a robust foundation for your marketing efforts. Let us look at how intent marketing can help you get the sales and ROI you desire.
Intent Marketing: The New Normal in B2B
Intent-based marketing uses consumer data that signals purchasing intent through consumption of relevant content like blogs and infographics; product comparisons; product reviews; message boards; case studies; and news. Through this data, you can find out what your prospects are looking for, which stage of the customer journey they are in, if they are researching solutions or ready to make a purchase, and what kind of steps you can take to get in front of them.
One of the most important benefits of intent marketing is that it removes the guesswork out of your marketing campaigns and ensures that you are targeting the correct prospects. This targeting can be done through either intent-based branding or intent-based marketing. Intent-based branding decodes the behavior of your target audience online while intent-based marketing harnesses data on the prospect’s buying behavior so you can tailor your marketing offerings accordingly. Consequently, your sales cycle is shortened.
Power-up Your Content Strategy
The biggest challenge B2B marketers like you face today is to cut through all the noise and create an impact on their prospects. Consumers have a host of content options. However, they do not want to consume unnecessary information. When the content is personalized to match their needs and goals, they are more likely to engage with it. Intent data helps you plan your content as it provides you with information on the theme, buyer personas and their behavior, buyer journey maps, content formats, copy, call to action (CTA), and keyword strategy that will best suit your prospect targeting efforts.
An intent-based content strategy can deliver leads while increasing conversion rates and sales. It can give you the competitive edge you need to influence your prospects at the right time.
Drive Sales and ROI
Intent marketing brings in more conversions on landing pages and overall higher traffic and qualified leads to your website. It uses intent information to recruit engaged prospects for sales demos and events. It helps sales teams to effectively rank their leads and accounts so that they can focus on the right leads at the right time and not miss out on any sales opportunities. Your sales teams can execute effective nurture campaigns and create sales pitches with messaging that appeals to a target account’s buying committee. This messaging addresses the account’s pain points and requirements and accelerates the buying decision.
Additionally, intent marketing helps improve customer retention rates and makes it easy for teams to identify cross-sell and upsell opportunities. It takes into consideration the existing customers’ signals to find any at-risk accounts to prevent churn and increase renewal.
Data-driven Marketing Personalization
Intent data makes it easy to personalize your marketing efforts and provides an accurate report of prospective signals, their needs, and interests so that you can segment and categorize them. Once this segmentation is done, you can determine what kind of content needs to be created and displayed for these accounts depending on their position in the buying cycle. With this kind of personalization, your target audience gets to know that you care about them and you can connect with them on a deeper level.
Increase ABM Efficiency
B2B buyer intent data helps your marketing, sales, and customer success teams align their goals so that they can agree on target accounts, establish lead hand-off processes, and diversify investments to target newer, relevant accounts while maintaining the current customer list. Intent data provides marketing intelligence for creating ICP in marketing, messaging, and brand positions for B2B account-based marketing. Additionally, it provides account intelligence for target account list creation, ways to increase engagement, improve lead scoring in ABM and lead nurturing tracks, thus increasing the efficiency of your account-based marketing.
Summing It Up
Intent-based marketing helps B2B marketers like you to understand potential customers so you can find high-value accounts and nurture them through customized content and targeted campaigns.
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