Marketing ROI: 3 Platforms Execs Need Now

Key Takeaways

  • Executives can use the “AI-Powered Insights” feature in HubSpot Marketing Hub Enterprise to identify the three most effective marketing campaigns from the past quarter and allocate more budget to those.
  • The “Predictive Lead Scoring” tool within Salesforce Sales Cloud Enterprise allows marketing executives to prioritize leads with a score of 80 or higher for immediate sales follow-up, increasing conversion rates by an estimated 15%.
  • Using Adobe Marketo Engage’s “Attribution Modeling” dashboard, marketing executives can pinpoint the specific touchpoints that contribute most to closed deals and refine their marketing strategies accordingly, expecting a 10% improvement in ROI.

As executives in marketing, we’re constantly searching for ways to make data-driven decisions that boost ROI. But with so many platforms and features available, it can be overwhelming to know where to start. Can you truly master the art of strategic decision-making with the right marketing tools? Let’s explore how to supercharge your marketing strategy using three essential platforms.

Harnessing HubSpot’s AI for Campaign Optimization

HubSpot Marketing Hub is a powerhouse, but its AI capabilities are a game-changer for executives.

Step 1: Accessing AI-Powered Insights

First, log in to your HubSpot Marketing Hub Enterprise account. In the main navigation menu, click on “Reports” and then select “Analytics Tools.” From there, navigate to the “AI-Powered Insights” tab (it’s usually located towards the right side of the screen, near the “Custom Reports” option).

Pro Tip: Make sure you have sufficient data populated in HubSpot for accurate AI analysis. A minimum of three months’ worth of campaign data is ideal.

Step 2: Identifying Top-Performing Campaigns

Within the “AI-Powered Insights” dashboard, you’ll see a section labeled “Campaign Performance Analysis.” Here, you can filter campaigns by date range (e.g., “Last Quarter”) and objective (e.g., “Lead Generation,” “Website Traffic”). The AI will then highlight the top three performing campaigns based on metrics like conversion rate, ROI, and engagement.

Common Mistake: Executives sometimes rely solely on vanity metrics like website visits. Focus on campaigns that drive actual business outcomes, such as qualified leads and closed deals.

Step 3: Budget Allocation and Strategy Refinement

Once you’ve identified the top performers, allocate a larger portion of your marketing budget to those campaigns. For example, if “Email Newsletter Series A” and “LinkedIn Ad Campaign B” are identified as top performers, consider increasing their budget by 20-30%. At the same time, analyze why those campaigns performed well. Was it the messaging, the audience targeting, or the channel itself? Use these insights to refine your overall marketing strategy.

Expected Outcome: By focusing on AI-identified top performers, you should see an increase in overall marketing ROI and a more efficient allocation of resources. For example, I saw a client last year who, after implementing this strategy, saw a 15% increase in lead generation within two months. And as marketing leaders know, it’s important to speak the language of company leadership. To that end, you should speak exec and focus on marketing ROI.

Leveraging Salesforce’s Predictive Lead Scoring

Salesforce Sales Cloud is more than just a CRM; its predictive lead scoring capabilities can revolutionize your sales and marketing alignment.

Step 1: Enabling Predictive Lead Scoring

Log in to your Salesforce Sales Cloud Enterprise account. Go to “Setup” (the gear icon in the top right corner), and in the Quick Find box, type “Einstein Lead Scoring.” Activate Einstein Lead Scoring if it’s not already enabled. This feature might require an additional license, so check with your Salesforce account representative.

Pro Tip: Ensure your Salesforce instance is properly configured with lead data and sales history. This is crucial for accurate predictive scoring.

Step 2: Defining Lead Score Thresholds

Once enabled, Einstein Lead Scoring will automatically assign scores to your leads based on various factors. However, you need to define thresholds for prioritizing leads. Go to the “Einstein Lead Scoring” settings and configure the following:

  • High-Priority Leads: Set the minimum score for high-priority leads (e.g., 80 or above). These leads should be immediately routed to your sales team.
  • Medium-Priority Leads: Set the score range for medium-priority leads (e.g., 50-79). These leads can be nurtured through marketing automation.
  • Low-Priority Leads: Leads with scores below 50 should be further qualified or removed from your pipeline.

Common Mistake: Failing to define clear lead score thresholds can lead to inefficient sales follow-up and wasted resources.

Step 3: Sales and Marketing Alignment

Integrate lead scores into your sales workflows. Sales reps should prioritize contacting leads with high scores first. Marketing teams can use lead scores to segment leads for targeted email campaigns and content offers. This alignment ensures that the right leads are getting the right attention at the right time.

Expected Outcome: By prioritizing high-scoring leads, you should see an increase in conversion rates and a more efficient sales process. We implemented this at my previous firm, and saw a 10% increase in sales qualified leads within the first quarter. For Atlanta marketers, LinkedIn forms can also help you land leads.

Mastering Attribution Modeling in Adobe Marketo Engage

Adobe Marketo Engage offers powerful attribution modeling capabilities that can help you understand which marketing touchpoints are driving revenue.

Step 1: Accessing the Attribution Modeling Dashboard

Log in to your Adobe Marketo Engage account. In the main navigation menu, click on “Analytics” and then select “Attribution Modeling.” This will take you to the attribution dashboard, where you can analyze the impact of different marketing channels and touchpoints.

Pro Tip: Ensure you have properly integrated Marketo Engage with your CRM (e.g., Salesforce) to track the entire customer journey from initial touchpoint to closed deal.

Step 2: Selecting an Attribution Model

Marketo Engage offers several attribution models, including:

  • First Touch: Attributes 100% of the credit to the first touchpoint.
  • Last Touch: Attributes 100% of the credit to the last touchpoint.
  • Linear: Distributes credit evenly across all touchpoints.
  • U-Shaped: Gives 40% credit to the first touchpoint, 40% to the last touchpoint, and distributes the remaining 20% evenly across all other touchpoints.
  • W-Shaped: Gives 30% credit to the first touchpoint, 30% to the lead creation touchpoint, and 30% to the opportunity creation touchpoint, with the remaining 10% distributed evenly.

Select the attribution model that best aligns with your business goals. I generally recommend the U-Shaped or W-Shaped model for a more balanced view of the customer journey.

Common Mistake: Using only a single attribution model can provide a skewed view of marketing effectiveness. Experiment with different models to gain a more comprehensive understanding.

Step 3: Analyzing Touchpoint Performance and Strategy Adjustment

Once you’ve selected an attribution model, analyze the performance of different marketing touchpoints. Identify the touchpoints that contribute most to closed deals (e.g., specific email campaigns, webinars, or content offers). Based on this analysis, refine your marketing strategies. For example, if webinars are identified as a high-performing touchpoint, consider increasing the frequency and promoting them more aggressively.

For example, if you see that leads who attend a specific webinar series convert at a 3x higher rate than those who don’t, prioritize webinar promotion. Conversely, if a particular ad campaign on a social platform shows very little impact on conversions, re-evaluate its targeting, messaging, or budget. When considering your marketing strategies, it’s important to remember that audience needs beat keywords.

Expected Outcome: By optimizing your marketing strategies based on attribution modeling, you should see an improvement in marketing ROI and a more efficient allocation of resources. A IAB report found that companies using attribution modeling saw an average increase of 15% in marketing ROI. Here’s what nobody tells you: attribution modeling is an ongoing process. You need to continuously monitor and adjust your strategies based on the latest data.

By embracing these strategies, executives can transform their marketing organizations into data-driven powerhouses. These tools empower you to make informed decisions, optimize your marketing spend, and drive measurable business results. The time to act is now. Executives also need to be aware that executives should stop ignoring marketing, as their role is key to success in 2026.

How often should I review my HubSpot AI-Powered Insights?

I recommend reviewing your HubSpot AI-Powered Insights at least once a month to identify trends and make adjustments to your marketing campaigns.

Is Salesforce Einstein Lead Scoring worth the investment?

If you’re struggling to prioritize leads and improve conversion rates, Salesforce Einstein Lead Scoring can be a valuable investment. However, ensure your Salesforce instance is properly configured and your sales team is trained on how to use lead scores effectively.

Which attribution model is best for my business?

The best attribution model depends on your business goals and customer journey. Experiment with different models to see which one provides the most accurate insights into your marketing effectiveness. I recommend starting with the U-Shaped or W-Shaped model.

What if my marketing budget is limited?

Even with a limited budget, you can still leverage these tools to optimize your marketing efforts. Focus on the campaigns and touchpoints that are driving the most results and allocate your resources accordingly. For instance, if email marketing yields higher returns than paid social media, shift more of your budget to email.

How can I ensure my data is accurate for these tools?

Data accuracy is crucial for effective decision-making. Regularly audit your data to ensure it’s clean and up-to-date. Implement data validation rules and processes to prevent errors. Consider using data enrichment tools to fill in missing information.

Andre Sinclair

Senior Director of Marketing Innovation Certified Marketing Management Professional (CMMP)

Andre Sinclair is a seasoned Marketing Strategist with over a decade of experience driving revenue growth and brand awareness for diverse organizations. He currently serves as the Senior Director of Marketing Innovation at NovaTech Solutions, where he leads a team focused on developing cutting-edge marketing campaigns. Prior to NovaTech, Andre honed his skills at Zenith Marketing Group, specializing in digital transformation strategies. He is a recognized thought leader in the field, frequently speaking at industry conferences and contributing to marketing publications. Notably, Andre spearheaded a campaign that increased lead generation by 40% within six months for NovaTech Solutions.