The MOPs Race to the AI Finish Line

TLDR: How is AI transforming marketing operations? Some platforms are integrating AI tools directly, while others are allowing user communities to develop add-on solutions. The winners of this race will be those who integrate AI effectively, while the losers risk missing out on market shifts. We are at a crucial turning point in AI tools for B2B, and embracing AI is vital for staying competitive.

Ready. Set. Go!

It’s not a space race. It’s more of a 5000-meter race – and we’re on the first lap with 12 more to go. A couple of runners have pulled out ahead and the rest of the field is figuring out what to do.

Salesforce and HubSpot are incorporating AI assistant tools into their platforms to enhance user experience, ease the learning curve, and prevent users from seeking alternative AI solutions. Adobe has doubled down on the creative side, but we’re not sure what’s in store for platforms like Marketo.

 

“It’s clear now that AI has started to transform business.”

 

It’s clear now that AI has started to transform business. Tasks that used to require expert knowledge and hours to complete can now be done quickly and efficiently by AI.

 

Which Course?

There are two routes for platforms to take. The first is to integrate AI directly into the platform (like HubSpot), and the second is to allow user communities to develop add-on solutions or APIs to integrate AI enhancements.

 

The Winners?

So far, it’s elbows up around the first corner of the track, with HubSpot and Salesforce quickly integrating AI functionality – but it’s too early to tell who will win this race.

Whoever comes out on top will have to overcome the following key issues:

1. The power of status quo. In today’s MOPs landscape, it is very hard to disrupt the status quo. Convincing organizations to shift marketing automation platforms requires a significant cost benefit.

2. Patience. It’s reasonable to be optimistic that all platforms will eventually integrate AI into their offerings. But the real question is, will users be patient enough to wait for their current platform to add AI enhancements, or will they turn to another platform that does it first?

3. Early adoption. Platforms must communicate that those who embrace AI early on will likely be well-situated for future shifts and evolutions in how we do our work. MOPs professionals should welcome a world where repetitive, low-value tasks are eliminated – it’s very likely that AI will accelerate MOPs work for the foreseeable future.

 

The Losers?

This is even harder to predict. But it’s safe to say those who are slower to embrace AI are most likely to lose out or miss important market shifts.

 

“Those slower to embrace AI are most likely to lose out or miss important market shifts.”

 

Consider this scenario: a mid-market company has made an acquisition and is deciding between two marketing automation platforms to standardize on. Given that one platform has strong AI capabilities that increase efficiencies and lower costs to operate, and the other platform does not, it would seem like an easy choice.

What about the experts? All around, the speed at which work can be completed will increase. The losers will likely be those who are last to adopt and integrate AI into their systems and processes.

 

The Gamblers?

There are tremendous opportunities today for many to build third-party add-ons that integrate AI functionality into these platforms like Marketo.

For example, at RP we’ve created some AI content personalization add-ons that are really promising. The question is, how far do we have to go and will this feature be replaced by official platform integrations?

That’s the million-dollar question that everyone wishes they had a crystal ball to answer.

 
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What are the next steps?

As we know, it’s still very early – the race has just entered the first corner.

And while it’s easy to become fatigued by the inflated expectations and relentless hype of AI, we’d be doing ourselves a disservice if we didn’t try our best to stay optimistic, open-minded, and up-to-date.

Because the reality is: we are at a crucial turning point in AI tools for B2B.

Our work is going to change, and we must change with it.

How to Guide Your Hiring Team on MOPs Recruitment

TLDR: Demand for skilled MOPs people far outstrips the supply. To attract and retain the best talent, your recruitment process should focus on the candidate experience and the employee experience.

The struggle to attract talent: Demand for skilled Marketing Operations professionals has long outpaced the supply. The current job market is especially driven by talent. Top MOPs candidates have the bargaining power to take or stay in roles with the most attractive company cultures and compensation packages, and for as long as that’s the case, companies that hire without regard for the candidate experience will struggle to attract and retain the best talent.

What’s in this article for you? If multi-stage interview processes and a lack of long-term thinking for each hire sounds like your organization’s approach to recruitment, it’s time for a Tough Talk.

We’ll help you discuss what effective MOPs recruitment looks like with your CMO and Hiring Manager, so your team can get great candidates onside and nurture them for long-term success.

 

The candidate experience

Far too often, companies in the MOPs space operate with the assumption that the logistics of recruitment should work in their favor. Really, the process is a two-way street.

In each interaction, candidates are scoping out whether your organization is the right place for them to work, and considering the scarcity of MOPs skills, the people with real potential to excel in your roles hold all of the cards.

 

Encourage hiring teams to view their recruitment practices through the candidate’s eyes.

 

👉 Does a demanding job description position your company as a rewarding workplace?

👉 Is a string of multiple interviews with disparate stakeholders (e.g. Sales, Marketing, IT, Leadership) the most considerate use of a candidate’s time?

👉 Is it respectful to require candidates to perform free labor or attend a full-day interview while working a full-time job?

The candidate experience is not just about extending decency. Practices like these fail at selling your company as an inviting and stimulating place to be, which has real business consequences.

If you can’t attract talent, your company faces spending serious dollars on a recruitment agency. And even then, you run the risk of hiring subpar candidates.

Bottom line: The lost productivity and cost involved in fixing the mistakes of an ill-fitting hire will completely dwarf the size of investments your company should have made into

  • Well-researched role requirements.
  • Building a culture that your talent people advocate for.
  • A recruitment process that puts the candidate’s needs first.
  • An attractive compensation package.

 

To keep people, hire with a purpose

MOPs roles are often multidisciplinary by design, but many of the industry’s job descriptions read like laundry lists of scattershot and highly advanced competencies.

Just like how the right tools for your business are the ones that effectively support your goals, leadership needs to plan and design new roles around the specific needs of the MOPs team.

Before writing the job description

Before your hiring team sits down to write any section of a job description, tell them all about the skill gaps and upcoming projects in the MOPs team.

This is the basis of an intentional hire. Your hiring team can identify the experience that’s truly important for candidates to bring versus skills that transfer or can be taught.

As an example: Many roles seek experience with a particular marketing automation platform. But experience using one platform is highly transferable to another. Unless particular expertise is crucial to the position, keeping the role platform agnostic will attract a broader range of competent candidates who can learn new skills in the role.

This is essential for employee retention.

Rather than looking for a candidate who fits your requirements 100%, prioritize candidates who are 80% there.

Your hiring team can think of it this way: A 100% fit candidate has already been there and done that. Are they going to be satisfied in a job that doesn’t represent meaningful progression? You might offer them a higher salary than their current position, but there’s no telling if that’ll incentivize them to stay long-term.

 

“Your 80% fit, however, can truly gain something from taking the job.”

 

Your 80% fit, however, can truly gain something from taking the job. That makes them a better investment. A candidate who can say your company gave them a chance to develop their skills has motivation. That’s motivation to give their best effort, stay on the team and advocate for your brand to their network.

TL;DR: The perfect fit has room to grow.

 

Your recruitment brand

Desirable places to work all have this in common: They create environments where people want to stay.

To attract and retain the best marketing ops talent, leadership should focus the recruitment process on two things:

  • The candidate experience, then
  • the employee experience.

Treating your candidates and employees with empathy — practices based on candidate needs, a rewarding culture and compensation, hiring to invest in people — is how you create a workplace that people advocate for.

For any guidance you need with building a MOPs team, Revenue Pulse is here to help.

How Should I Approach My First Days in Marketing Automation?

Hi Jo,

I’m due to begin my first role in marketing automation with a new company, and I’m wondering what I can do to get off to a good start.

I’m interested in the technical and data-driven elements of marketing. But I’m coming from a role focused more on campaign content.

This will be my first time getting truly hands-on with a marketing automation platform.

What things should I prioritize learning? How can I make a good impression on my new team?

Thanks,

New Naomi.

Naomi, congratulations on your new opportunity!

It’s natural that you want to shine and show your new colleagues that you’re someone they can count on. That said, don’t feel pressured to get a handle on all the complexities of your tools and the detailed dynamics of your industry and company just yet.

 

“Marketing automation platforms have a steep learning curve, and the MOPs space constantly changes.”

 

Marketing automation platforms have a steep learning curve, and the MOPs space constantly changes. When I first started in marketing automation, I found there to be no shortage of new things to learn. including the:

➡️ technicalities of the platform
➡️ priorities of the business and
➡️ ways that my new teams work together.

Confidence and fluency in these things are what you’ll develop over time as you get comfortable in the role.

For now, it’s best to focus on understanding the:

✅ essence of marketing automation
✅ fundamentals of your platform, and
✅ things your teams need from MOPs to work effectively.

 
Here are some steps I recommend you take as you settle into your new job:

 

Think user-centric:

Platforms are all about the user experience.

If someone is reading your content, you have one shot at engaging them further — what does this page or email need to convey to encourage them to download that whitepaper or click through?

Reflect on the principles of demand gen and inbound marketing. They underlie all the capacities a platform has to bring a campaign to life.

 

Resources:

Check out your platform’s support documentation, learning hub (e.g. Marketo Engage Tutorials, HubSpot Academy), and community forums.

These resources will help you to become self-sufficient, answer questions, and explore the different features of each platform. And, you can also develop a network by participating in user groups and discussions.

By interacting with people over time, you’ll increasingly establish yourself and learn more about the broader direction of the MOPs space.

 

Talk to people:

What do various people in your teams like or dislike about your marketing automation platform? What challenges are they experiencing? Talking about these things is a good way to start forming relationships, and it helps to focus your learning of the platform.

If you can discover how to solve problems that people are having, you’ll quickly establish rapport and expertise.

 

Make small improvements:

Your new team might want you to do things by the book or optimize established processes where you can.

Always be receptive to what your manager asks, but suggest potential areas for improvement along the way. Read our post ‘How Do I Get Management To Listen To Me?‘ for more ideas.

Whether you identify some tweaks to a page that could bring more conversions or introduce new visualizations that make data more digestible, it’s good to subtly show how you can improve things and make peoples’ lives easier.

You’ve got this,

Jo Pulse.

How to Work with an Agency: A Conversation with Marketing

TLDR: Agencies help MOPs teams take on ambitious projects and meet goals, but do you know what it takes to work successfully with an agency?

How can marketers benefit from agencies? Agencies and consultancies are valuable sources of guidance and hands-on support, helping marketing teams to clear through tasks with greater efficiency and execute more ambitious projects that may otherwise be out of reach.

What homework should you do before approaching an agency? Organizations with all sorts of technical and resource needs can benefit from a strong agency partnership, but it’s best to establish clear priorities and learn how to manage the relationship before deciding to approach one.

What’s in this article for you? In this Tough Talks Made Easy, we’ll teach you how to work with an agency amidst various situational demands and how to communicate optimally with your partners. By the end, you’ll know how to:

➡️ See greater results from your current agency relationship

➡️ Set your expectations and communicate them to the agency

➡️ Get the most out of working with an agency

 

Determine your priorities

There’s a tendency for some organizations to hesitate when it comes to agencies, fearing the risk of being locked into a contract or pouring money into a resource they don’t use.

If the decision-makers in your marketing team have been reluctant to work with an agency for similar reasons, make this point: If your marketing ops team has more work than bandwidth, an agency is a direct solution to help you meet your goals. The investment makes sense if you know what you want to achieve.

 

“Before approaching an agency
to take on projects, establish your most pressing needs.”

 

Before approaching an agency to take on projects, leadership and MOPs must establish the most pressing needs for the team. These priorities will determine the kinds of service providers you need to look for and how you can best use them.

 

Here are a few scenarios:

Comfortable budget but short on time? Hiring an agency to take on more practical tasks frees up your team for higher-level strategic work. And if a project is particularly time-sensitive, the extra assistance makes it possible to reach your target turnaround time within an agreed scope.

Access to budget but not to headcount? Hiring an agency is a great option in this case. It gives your team the ability to achieve targets and successfully execute tasks while safeguarding their existing but limited bandwidth.

Lower budget with time to spare? Consider using an agency’s experts for advice on complex projects to maximize your time. Think of projects like implementing a new marketing automation platform or attribution. Consultants can interpret and communicate the impact of the changes you’re looking to make and guide you through the steps to take for long-term success.

Short on both? If you’re in a crunch for time and budget, your leadership team needs to establish top priorities for marketing ops and share them proactively with your agency so they’re best equipped to meet your needs within scope.

Read our post ‘Marketing Operations: In-House, Agency or Hybrid‘ for other models.

 

Realistic expectations

To build a partnership based on trust and transparency, both parties must uphold their roles and responsibilities.

Clients are right to have certain expectations of an agency:

✅ Getting work done on time to a high standard

✅ Managing internal stakeholders

✅ Pivoting when necessary to match the changing needs of your business.

But clients should also prepare to support the agency to deliver. That means being open and honest about your goals for the working relationship.

Whatever performance expectations Marketing has, team members using the agency must offer relevant information about your business, campaigns, and priorities proactively.

 

Best practices for projects:

👉 Share resources and access permissions in a timely and forthcoming manner.

👉 Be courteous in all communications and timelines you establish.

👉 Offer support and feedback to help the agency perform more effectively.

Your marketing team might approach an agency with great ambitions. But for all the help an agency can provide, they aren’t magic.

 

“Your partners are
human beings
with multiple priorities to balance…”

 

Your partners are human beings with multiple priorities to balance and many projects in MOPs involve working through a long series of steps and processes. For example, getting attribution off the ground in a matter of weeks isn’t a viable scope to present to an agency.

To keep expectations realistic, your team should acknowledge that progress takes time. Clearly communicate what you want to achieve, sharing relevant KPIs and metrics with your agency as you approach each milestone, but do so with the understanding you’ll get results gradually.

 

The bottom line

An agency’s expertise and support help to make your MOPs function successful.

Deciding to work with one is a sign that you’re delegating effectively to complete important projects to a high standard.

Collaborate with your leadership and marketing teams to identify clear goals, share them proactively with your agency, and mutually establish a realistic scope for delivery. These are the ingredients of a partnership that gets results.

Whatever your organization needs, Revenue Pulse is here to help.

How Do I Get Management to Listen to Me?

Hi Joe,

I’m having trouble getting respect from my marketing leadership.

Working in marketing ops means I understand the processes between Marketing and Sales, what’s working well and what isn’t, but I don’t think my boss values my insights.

My role involves lots of procedural responsibilities like building emails and handing leads over, which I think creates the perception that my contributions aren’t important to the big-picture strategy.

How do I get my boss to listen to me? How do I make them see that my work adds value?

Thanks,

Ignored Isabel.

pink seperator line

Isabel, I know this is tough.

Getting your boss to really appreciate the value you provide in MOPs can feel like pushing a boulder up a hill.

After years of progressing my career in MOPs and working with senior leadership figures, I’ve seen a real blind spot from management towards the complexities of marketing operations.

That said, the disconnect goes both ways.

A mistake I often made earlier in my career was to assume that everyone in a company speaks the same language. What comes fluently to us in MOPs can sound downright alien to people in other fields. For instance:

➡️ Data flows
➡️ Systems maintenance
➡️ Martech infrastructure

It’s rarely apparent to leadership at face value how these components help the company to work productively and achieve revenue targets. Add those things together — poor understanding of MOPs, communication that doesn’t touch the bottom line — and you get a lack of respect.

 

“A story of your value in MOPs
that makes your impact on the business clear.”

 

You’re doing great work that’s worthy of recognition. What’s missing is a story of your value in MOPs that makes your impact on the business clear.

Here’s some advice that can help you gain a seat at the table:

 

Unpack the strategy

Automating a ton of processes doesn’t mean your job is simple.

Every email you build or webinar you host comes after weeks of planning to make sure your campaigns run smoothly and reach the right audiences.

This is how you characterize your role to people who think you’re here to take orders; less plumbing, more architecture.

 

Know the room

You’re at a crossroads between technical know-how and commercial priorities.

Your CTO and IT team might relate to the grittier aspects of your work, but for Marketing and Sales, it’s all about how you’re planning and budgeting for successful campaigns and generating leads.

For responsibilities like vendor relations and data governance, you’ll need to surface how doing those things well helps your company be productive and profitable.

 

Unify your data sources

Reporting and analytics aren’t just ‘nice to haves’ — they’re the best instruments for painting the picture of your impact.

Give your tech stack some TLC and join together all the reporting elements that show how you’re performing against KPIs.

 

Share the right numbers

The most compelling move you can make with data is to leave behind the everyday operational challenges — the amount of tickets you’re handling, processes you’re running — and look at revenue.

👉 How many MQLs converted to SQLs?
👉 How many of those turned into closed deals?
👉 What dollar value are they converting?

Those data points prove your contributions to business growth, so own them.

 

“Persistence
goes the distance.”

 

Getting management to listen means changing their perspective of your value. It might not happen overnight, but persistence goes the distance.

Read our post How Do I Show My Boss My Value? for more advice.

You’ve got this,

Joe Pulse.

Help! I Have to Start Attribution

Hi Jo,

My company wants to start doing attribution, so I’ve been asked to put together a plan.

Here’s the problem: I have no idea how to do this right.

I’m uncertain about the practicalities my plan should account for or what results to expect.

What kind of commitment is attribution really?

How do I create and carry out a plan that works?

Thanks,

Attribution Amy

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Amy, it’s good that you’re thinking critically about this.

Years back, when my marketing team first took on attribution, we were very excited by all the models and ways of understanding how people engage with campaigns.

My expectation

I was under the impression it was a plug-and-play type deal. Three months down the line, it’ll spit out numbers that tell you exactly where to spend, hands-free.

The reality

Three months in, I had nowhere near a confident grasp of how to use different models and data setups, nor was I making any decisions to optimize spend.

My sales and marketing teams were frustrated — the results we thought were coming were nowhere in sight—and so was I.

 

“I learned something important from that experience:
attribution isn’t magic.”

 

I learned something important from that experience: attribution isn’t magic.

To really work for your business, it’s a gradual process that takes:

✅ long-term refinement
✅ consistent methodology, and
✅ clear communication between Marketing and Sales.

That understanding is your plan’s guiding star.

 

8 attribution tips:

👉 Use a dedicated vendor: Unless your entire job is attribution, there aren’t enough hours in the day to build this effectively on your own. There’s no native ability in CRMs to pivot campaign memberships against opportunities, which is how you start to calculate ROI.

👉 Establish common terminology: Marketing and sales need shared definitions of what it means to source, touch, and influence leads, the same classification of sources vs mediums, and a mutual understanding of how your CRM accounts for revenue and opportunities. This helps to keep your data clean and for Sales to set accurate goals.

👉 Clear data collection: Use UTMs wherever you can, and be consistent with tagging traffic coming into your website.

👉 Get your tools in sync: Many attribution platforms use Salesforce campaign objects. To keep accurate data flowing, check that these are synced correctly with the relevant marketing automation platform (MAP) programs.

👉 Get your processes in order: Make sure that Sales is using opportunities in Salesforce and regularly reporting pipeline and revenue in there. You’ll need these updates to sync to Marketo or your MAP of choice.

👉 Figure out spend: You might think organic traffic is free — but how much are you paying someone to update and optimize the website? Agree with your boss on how to factor in less obvious expenses. Even estimates are useful for arriving at accurate ROI calculations.

👉 Budget for time: Your platform might take 6-12 months to launch. And if it’s a 2nd or 3rd gen platform that offers website cookie tracking, implement that collection right away if you think you’ll need it in the future.

👉 Small goals = achievable goals: Set goals as part of a gradual roadmap that incorporates more robust models only as you get more comfortable with attribution. Small wins that you actually achieve are better than grand plans gone off the rails.

Attribution is a complex business. You want to go far, not fast.

You’ve got this,
Jo.

Is It Worth It? The Hidden Cost of New MarTech Tools

TLDR: Adopting a new tool has a range of logistical and financial consequences. MOPs and RevOps leaders should interrogate each potential addition to your tech stack by evaluating the ease of implementation, the experience of your team, the ease of integration with your current or planned tech stack, the potential financial costs beyond the purchase price, and how the tool responds to real business needs and strategic aims.

The motivation for adopting new tools: When new leaders join companies or people move internally to different teams, they take with them the technologies and practices they’re used to. New marketing leaders are often keen to implement tools they’ve had positive experiences with in the past and can be prone to thinking that having more tools makes it easier to surface ROI—more ways to analyze data, more ways to present it, more functions and features to optimize how you work.

The consequence of new tools: In practice, however, this isn’t quite the case. Adopting a new tool has a range of logistical and financial consequences for your business that require thoughtful planning to navigate.

What’s in this article for you? In this Tough Talks Made Easy, we’ll help you explain to your CMO or CRO the problems that can arise from adopting a new tool too soon. We’ll also outline the important things your organization needs to consider before deciding to adopt new technology.

 

New tool consequences

Marketing operations people are frequently asked to take ownership of managing new tools, and so they have first-hand experience of the reality that more tools = more responsibilities.

Adding a new tool to someone’s workload has productivity consequences for what that person can feasibly deliver, especially if they need training to effectively use the tool in question.

If the department leadership is looking at a new core piece of tech—a marketing automation platform, a CRM, a content management system—it’s likely to demand a revamp of your whole MOPs infrastructure.

 

“Before adopting a new tool, you need to understand
if it’s worth it and why.”

 

Without qualified talent on board, you might need to hire someone new to lead on that piece of tech — and the hiring process costs time and money. So before adopting a new tool, you need to understand if it’s worth it and why.

Poorly-conceived additions to your stack will leak revenue, for example:

👉 Wasted subscription fees for unused tools.
👉 Unforeseen disruptions to your team’s workflow and productivity through accommodating new processes.
👉 Suboptimal implementations or maintenance that cause damage downstream.
👉 Integrations that don’t work properly, corrupted data, bloated storage.

 

The questions to ask

 

If you have a robust tech stack

If your tech stack is already robust, your first step should be to evaluate what isn’t working.

Is a new piece of software the best way to address your needs? Encourage your CMO or CRO to explore the solutions existing in your company stack — you might already have the license to a tool that fulfills a similar purpose to a good standard, and you’ll avoid the redundant expense on an overlapping solution.

If leadership’s considering a tool that can change the essential infrastructure of your MOPs/RevOps function (a MAP, a CMS, a CRM), it’s crucial to know what strategic ambitions it supports.

➡️ Are you scaling down to cut costs or simply overhead?
➡️ Are you scaling up because your CMO/CRO has a growth plan and needs the particular capabilities of more advanced tools to achieve it?
➡️ Have they planned for the corresponding investment in the MOPs team (e.g. whether that’s greater headcount, higher training budgets, or a redistribution of role responsibilities) to facilitate a more complex platform?

 

If the new tool will play a supporting role in your stack

When evaluating a tool that plays more of a supporting role in your stack, you’ll want to assess how well it integrates with your existing infrastructure.

➡️ What depth of expertise will the tool require?
➡️ How long is the implementation period? Will it require more resources on a temporary or permanent basis?
➡️ Is it best-in-class at providing the functionalities you’re looking for?
➡️ Does it have good momentum in the marketplace?

Getting to the bottom of these points is essential to come up with a realistic assessment of a tool’s total cost of ownership.

 

Questions to ask beyond those above

➡️ Is the total cost of ownership (TCO) worth paying?
➡️ Do the capabilities of the tool respond to the goals your CMO/CRO wants to achieve?
➡️ Can you reasonably estimate that its features can drive revenue and productivity in ways that justify the time, money, and work?

 

“The impact of adopting a new tool
is often poorly understood.”

 

The impact of adopting a new tool is far-reaching and often poorly understood. Remember that strategy defines your outcomes and tools help you achieve them. Read our article Connect the Dots Between Strategy and Technology for more.

Your MOPs and RevOps leaders should interrogate each potential addition to your tech stack by evaluating the:

👉 ease of implementation
👉 experience of your team
👉 ease of integration with your current or planned tech stack
👉 potential financial costs beyond the purchase price, and
👉 tool’s ability to respond to real business needs and strategic aims.

Approach each tech decisions with this degree of intentionality, and you’ll maximize the ROI you gain from your stack.

Get in touch for more guidance on assessing and implementing new technologies.

Lead Scoring: What Marketing & Sales Need to Know

TLDR: Lead scoring can help Sales focus only on the most valuable or receptive prospects, but the project stands or falls based on the quality of Sales-Marketing collaboration.

What is lead scoring? Lead scoring is the process of evaluating the interest of a prospect and their readiness to engage with the sales process.

The problem lead scoring solves: Lead scoring helps Sales and Marketing concentrate efforts on leads that have demonstrated a higher level of interest or engagement with your brand, increasing the chances of closing deals and generating revenue.

What’s in it for you? In this Tough Talks Made Easy, we’ll cover how to explain the value and reality of lead scoring to Sales – what it is and is not, what it offers and requires. You can incentivize Sales to work together with Marketing with realistic expectations on a project that’s vital for both teams to grow the business.

 

Methods and data points

Companies can score leads in a variety of ways. You can ascribe numeric values, letter rankings, or descriptive terms like “warm” and “cold.” However you choose to score leads, there are several key data points that should factor into the analysis:

👉 Demographics (relevant individual characteristics, e.g. job title)
👉 Firmographics (organization profile, e.g. industry, vertical, size, location, annual revenue)
👉 Behavior (how the lead engages with your brand, e.g. visiting the webpage, interacting on social, requesting a demo)
👉 BANT qualification (the lead’s budget, authority, need, and timeline)
👉 Completeness of the data you have for each lead

There’s no objectively superior method of scoring leads and accrediting weight to different data types. Instead, your Sales team needs to work with Marketing to define the scoring methodology and establish what a “qualified” lead looks like.

An accurate view of lead quality helps Sales to focus on engaging only with the most receptive and valuable prospects. Neither team can make a complete assessment of this without ideas, data, and feedback from the other.

 

Qualify or nurture

Naturally, some leads will show a higher likelihood to buy than others. The task for Marketing and Sales is to determine how to identify and treat leads that fall into one of two groups:

1️ shows an optimal level of interest for Sales to act, or
2️ requires further nurturing by Marketing.

For this process to yield results, Sales needs to agree with Marketing on the benchmark for qualification.

Sales might expect the leads they receive from Marketing to be ready to sign, but there’s only so much your Marketing team can do in advance. As long as Marketing can unearth opportunities with a high likelihood of closure, it’s on Sales to identify where in the process to step in and how to approach each lead.

On the other hand, Sales shouldn’t encourage Marketing to pass leads over who show just enough of a pulse to open an email or click a link. Qualifying leads this way undermines the evaluative power of Marketing’s nurture process. Sales might get a couple of lucky bites, but it won’t translate to sustainable success.

 

Building lead profiles

Marketing’s nurture programs build insightful lead profiles through rich data collection, which allows Sales to approach the highest quality leads in the most engaging ways, showing awareness of their interests and the situational context. Without that basis, Sales risks burning effort on premature leads and failing to hit targets.

The point to make is that lead scoring best allows Sales to identify and win business from the highest value leads when two things are in place:

✅ clearly defined and realistic models for scoring and qualification, and
✅ time for Marketing to nurture developed engagement data from their campaigns.

 

Fuel your growth machine

To get started with lead scoring, Sales needs a good grasp of their past successes. Your reps should dig into historical data about past deals and lead journeys until they can answer these key questions:

👉 What makes a person qualified enough?
👉 What behaviors and traits did closed-won leads show?

 

The quality of collaboration

From there, lead scoring stands or falls based on the quality of your collaboration. Sales and Marketing should participate in healthy, ongoing discussions until you agree on a scoring methodology and handover process that both teams can comfortably deliver.

With that agreement in place, you stand the highest chance of seeing the benefits of lead scoring—the ability for Sales to prioritize quality leads, better insight for Marketing into the most valuable lead characteristics, and increased alignment and revenue that both halves of your growth machine can enjoy.

Want more guidance on lead scoring? Revenue Pulse is here to help.

AI Fatigue is Here

TLDR: Over the last few weeks, sentiment towards AI has shifted from optimism to fatigue. On the Gartner Hype Cycle, AI is now entering the “Trough of Disillusionment,” a phase where hype-driven expectations have been left unmet. But while it’s easy to dismiss AI in the short term, history has shown that those who continue to experiment with new technology as it approaches the “Slope of Enlightenment” and eventual “Plateau of Productivity” will greatly benefit in the long term.

Welcome to the Trough of Disillusionment.

Wow, that was quick!

In the course of a week, I’ve started to see the bright lights shift from optimism to fatigue. LinkedIn, Twitter, National News Media, colleagues, friends, and family are all starting to roll their eyes at any discussion of AI. This is predictable, natural, and ok.

 

“It’s perfectly normal
to be skeptical.”

 

The AI hype has been a bit omnipresent. Hyperbole or not, the idea that AI is the next big step for humanity is being tossed around. It’s perfectly normal to be skeptical. It’s also predictable that the hype can not deliver the promise in the short term.

 

AI has achieved a lot in the last 6 months.

GPT-4, Bard, Midjourney, and Adobe Firefly have taken exponential leaps forward – with outputs almost indistinguishable from magic. People are concerned about the route this “choose your own adventure” AI will take from the incredibly positive (think cancer cures) to the extremely negative (think Terminator AI soldiers). It’s easy to dismiss this in the short term because the crystal ball is cloudy today.

We’ve been pretty bad at predicting the future when it comes to AI. We predicted we’d see factory AI robots first and AI creative last. It’s actually been inverted.

We’ve entered a new phase of the technology Hype Cycle called the Trough of Disillusionment.

 

Hype Cycle

 

This was developed by Gartner in 1995 and has been consistently used to monitor the phases of technological introduction to adoption. It’s pretty bang on when we look at the current phase of AI.

 

Peak of Inflated Expectations

We’ve had our Trigger event; In late November last year, ChatGPT was released to the world and it was the fastest technology to reach a million users in history. From December to June, we’ve gone up the curve toward the “Peak of Inflated Expectations.” What have we been told? The world is going to be changed forever. White-collar jobs are going to be replaced. A million new AI software tools are being launched weekly.

 

Trough of Disillusionment

Now we’ve reached or have passed the “Peak of Inflated Expectations.” Interest is starting to wane because the expectations of the hype aren’t being met. I think we’re now just entering the downward slope to the “Trough of Disillusionment.”

For example, I saw a post by MOPs meme master Jason Raisleger and the gist was, “OK, OK, I know I’m using ChatGPT wrong.” And today I woke up and read a newspaper opinion piece titled, “Will AI really change everything? Not likely.” It concludes with, “So the next time you hear a platitude spoken in the worship of AI, feel free to roll your eyes.” Even when technology moves fast, and AI definitely has, we humans can be predictably impatient.

 

“Those who continue to experiment
will benefit in the long term.”

 

Some people are getting to the trough quicker than others. But history has shown that those who stick around and continue to experiment and iterate with the technology will benefit in the mid and/or long term.

 

Slope of Enlightenment

The “Slope of Enlightenment” happens when the ways the technology can benefit the enterprise start to crystallize. Think internet and e-commerce in the late 90s and social media and targeted social ads in the late 00s. It takes a while for new technology to demonstrate its commercial value. Social ads were pretty effective at targeting up until we asked apps to stop tracking us on our phones.

 

Plateau of Productivity

The final stage in the Gartner Hype Cycle is the “Plateau of Productivity.” This is when the benefits, applicability, and relevance of the technology are very clear and investments are paying off. You can argue about if and when this is going to take place, but it is ultimately a predicted path for the future of AI.

You could even say that Adobe’s Firefly AI product, released in beta in Photoshop, is already approaching the plateau. There is no doubt that for creatives, the Slope of Enlightenment has been embarked upon. And while not everyone is a creative, I encourage you to ask an art director about AI – ask them if they think this is a fad.

 

The Route We’re Taking at RP

Our crystal ball, like at most times, is cloudy and unclear. What is predictable, though, is our behavior and impatience. The Hype Cycle helps us understand that this is what we do.

While some may pack up their AI enthusiasm for now, that’s not the route that we’re choosing to take at RP. We’re going to continue to learn, experiment, and iterate with AI. It’s probable that AI will impact our work and our client’s work for the foreseeable future. We’re going to push through the Trough of Disillusionment for the promise of the Slope of Enlightenment.

We hope to see you along the way, but we can always catch up at the Plateau of Productivity.

Staying Up To Speed

TLDR: AI tools allow us to work faster than ever before. But with this speed comes several organizational challenges, including quality control concerns, integration issues, and increased pressure on decision-makers. Companies must identify these problems and prepare for them to fully benefit from the productivity and efficiency increases that AI can provide.

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When I think about the impact of AI on businesses, the most significant factor is speed; The countless AI tools at our disposal allow us to work faster and more efficiently than ever before.

But in the wake of such speed, it’s crucial to acknowledge the organizational challenges that may emerge – and the need to identify and prepare for them.

Let’s take a closer look at specific problems companies will face as AI accelerates operations.

 

“AI tools allow us to work faster than ever before.”

 

Approval Lags & Quality Control Challenges

Once teams streamline and optimize their processes through the use of AI systems, projects might move faster than management can review and approve them. If managers don’t have the capacity to audit and control these fast-moving projects, the result will be either:

(1) significant delays as managers catch up or
(2) decreased quality as unchecked work slips through.

It will be crucial for managers to remain highly detail-oriented throughout this operational transformation; overlooking finer points or skipping essential steps in a process could lead to costly problems down the line.

 

Integration Issues

When it comes to implementing AI systems to speed up tasks, many teams may face early integration issues with existing tools and workflows. Organizations who fail to configure their processes properly and troubleshoot technical setbacks effectively will face significant disruptions and risk falling behind.

 

Quality vs. Speed

This also complicates the delicate balance of quality vs. speed. While AI systems certainly have the ability to speed up our work, there are many situations where rushing tasks could lead to compromised quality. It’s essential to carefully design processes in a way that maximizes AI assistance while maintaining the standards you’ve set for your business.

 

Increased Pressure on Decision-Makers

This quality vs. speed problem not only applies to day-to-day work but higher-level decision-making as well. As projects move more quickly, leadership teams and C-Suite executives will be pressured to make high-impact, informed decisions on accelerated timelines. To effectively adapt and thrive in this fast-paced environment, companies may have to restructure traditional decision-making hierarchies in favor of new strategies and agile methodologies.

And pressure on decision-makers will also come in the form of heightened expectations from company stakeholders. Consistently maintaining high-quality output at increasing speeds will be a real challenge that can lead to disappointment and friction between leadership and ownership groups.

 

Managing Rapid Change

It’s clear that the implementation of AI has the potential to rapidly change the way we work and make decisions — and this will likely cause disruption throughout many levels of your organization. If this rapid change is managed poorly, leaders will be met with resistance as employees become overwhelmed, confused, and even less productive than before.

 

“We must pay attention
to the fast-moving
developments of AI.”

 
 

There are many potential challenges ahead when it comes to utilizing AI systems to speed up our work.

But if we prepare ourselves and manage the integration of these tools skillfully, the resulting increase in productivity and efficiency will be game-changing.

Now more than ever, we must pay attention to the fast-moving developments of AI.

That’s all for this week.