15 Essential Digital Marketing KPIs to Track (and Improve) in 2026
Tatev Malkhasyan
November 20, 2025
12
minutes read
As we approach 2026, the gap between data-rich and insight-driven marketers is widening. Consider this: 83% of marketers say proving ROI is their top challenge, yet data-driven organizations are 6% more profitable than their competitors. By mastering the right KPIs, you can bridge this gap, turning data into a strategic asset that optimizes campaigns, secures budget, and demonstrates undeniable business value.
In digital marketing, success is measurable outcome. However, the challenge is not a lack of data but an overabundance of it. The key to cutting through the noise lies in focusing on the right key performance indicators (KPIs).
But what separates a simple digital marketing metric from a true KPI for digital marketing? While metrics are quantitative measurements, KPIs are the vital signs that connect your marketing activities directly to business goals like revenue, growth, and customer retention.
While metrics are the raw data points, the true marketing performance indicators we, at AI Digital, focus on are the AI-fueled insights that directly connect your activities to critical business outcomes like revenue and customer retention.
Why is this AI-powered approach non-negotiable? Traditional digital marketing analytics offer a look in the rearview mirror. AI Digital uses proprietary AI to analyze your GA4 metrics and digital advertising metrics in real-time, predicting conversion tracking trends and autonomously optimizing campaigns for maximum ROI. In fact, a recent study found that organizations that actively track and analyze their campaign performance metrics are 2.3x more likely to exceed their revenue goals.
This analysis, powered by AI Digital's methodology, will explore 15 most essential digital marketing KPIs to track and improve in the coming year, giving you a clear roadmap to demonstrate your impact and optimize your efforts. You'll learn how our expertise in advertising metrics and KPIs makes every decision more intelligent.
What Are Digital Marketing KPIs (And Why Do They Matter)?
Simply put, KPIs for digital marketing are a select set of quantifiable measurements used to gauge a company's long-term performance in achieving its key marketing objectives. They are the vital signs of your strategy, distinct from the broader category of digital marketing metrics.
While all key performance indicators are metrics, not all digital marketing metrics qualify as KPIs. The critical difference is alignment: true marketing performance indicators are explicitly tied to core business goals like revenue growth, market share, and customer retention. They answer the "so what?" behind the data. For instance, a social media "like" is a metric; the conversion rate of social media visitors into email subscribers is a KPI.
This distinction is crucial for any team because it forces strategic clarity. Digital marketing KPIs directly connect daily activities to big-picture outcomes. They are the engine that allows you to measure marketing ROI accurately.
Vanity Metrics vs. Real KPIs
One of the most critical skills in data-driven marketing is learning to separate the signal from the noise. This is the fundamental battle between vanity metrics and real key marketing metrics.
Vanity metrics are surface-level numbers that look impressive on paper but offer little insight into your business's health or growth. They are often passive and easily inflated. Examples include raw page views, social media followers, or email open rates (without context). While they might boost team morale, they don't inform strategy or prove ROI.
In contrast, real digital marketing KPIs are action-oriented and tied directly to business objectives. They are the key performance indicators that reveal efficiency, impact, and potential. For example:
Instead of "Page Views," a real KPI for digital marketing is "Conversion Rate on Key Landing Pages."
Instead of "Social Media Followers," a real online marketing KPI is "Lead Generation Rate from Social Channels."
Instead of "Email Opens," a real internet marketing metric is "Revenue Per Email Subscriber."
These marketing KPIs examples show a direct line to business outcomes. Advertising metrics and KPIs like Cost Per Acquisition (CPA) and Return on Ad Spend (ROAS) are prime examples of this—they directly measure the financial efficiency of your digital advertising metrics.
At AI Digital, we engineer your marketing dashboard to highlight these real marketing performance indicators. Our AI cuts through the vanity, focusing your analysis on the digital ad metrics and conversion tracking data that truly predict growth. By ignoring vanity metrics and focusing on the most important KPI for digital marketing, you ensure that every report and strategy session is dedicated to tracking digital marketing success that actually matters to your bottom line.
The 15 essential KPIs every marketer should track in 2026
Moving beyond theory, this section delivers a actionable list of the most critical key performance indicators. For each KPI, you will find a clear explanation of what it measures, why it's a key marketing metric for 2026, and crucially how an AI-powered approach transforms it from a simple data point into a predictive tool for growth.
1. Brand awareness
Brand Awareness quantifies the extent to which your target audience is familiar with and recognizes your brand. It measures the visibility and mental "market share" your brand holds, typically tracked through metrics like Share of Voice, branded search volume, and direct website traffic. While a top-funnel metric, strong brand awareness is a powerful performance driver. It builds crucial trust, creates brand affinity, and makes all subsequent marketing efforts more effective and cost-efficient. A recognized brand commands higher click-through rates, lowers customer acquisition cost (CAC), and establishes a defensible market position against competitors.
How is Brand Awareness Measured?
⚡ Moving beyond traditional surveys, using programmatic display and video ads with view-through conversion tracking and frequency capping can efficiently build brand recognition at scale.
💡While crucial, Brand Awareness should be analyzed in conjunction with mid-funnel and bottom-funnel marketing KPIs to fully understand its impact on the customer journey and revenue.
2. Engagement rate
Engagement Rate measures the level of active interaction and involvement your audience has with your content or campaigns. It goes beyond passive views to quantify actions like clicks, likes, shares, comments, and time spent. In platforms like GA4, it's a core metric that combines engaged sessions, engagement time, and engagement rate per session.
The most common formula for social media and general content is:
Engagement Rate = (Total Engagements / Total Reach) × 100
How to Improve It?
⚡ Use first-party data and AI-driven insights to segment your audience and deliver hyper-relevant content. Personalization dramatically increases the likelihood of interaction. For deeper insights on reaching engaged audiences in a high-attention territory, explore Streaming TV Advertising, whichuses these very principles at scale.
3. Click-through rate (CTR)
Click-Through Rate (CTR) is a fundamental digital advertising metric that measures the percentage of people who click on your ad after seeing it. It is a direct indicator of how relevant and compelling your ad creative and targeting are to your audience.
The formula for calculating CTR is:
CTR = (Total Clicks ÷ Total Impressions) × 100
A high CTR is critical for campaign success. It not only drives traffic but also signals to advertising platforms that your ad is high-quality and relevant. This leads to lower Cost Per Click (CPC) and better ad placements, maximizing your Return on Ad Spend (ROAS). A low CTR indicates that your message isn't resonating with the audience you're targeting.
How to Improve It?
Improving your CTR is a function of refining two key areas: creative and targeting.
Use strong, action-oriented copy, compelling visuals, and clear, value-driven calls-to-action. A/B test different headlines and images to see what resonates most.
Use first-party data and audience insights to ensure your ads are being shown to users who are most likely to be interested in your offer.
For a deep dive into industry benchmarks and advanced strategies to significantly boost your performance, read our full guide: Display Ad CTR by Industry: How to Beat the Average with Better Creative and Targeting
4. Bounce rate and dwell time
Bounce Rate is the percentage of visitors who land on a page and leave without taking any further action (like clicking to another page). Dwell Time measures how long a user spends on a page before returning to the search results:
Bounce Rate Formula: (Single-page sessions ÷ Total sessions) × 100
Dwell Time: Calculated automatically by analytics platforms like GA4.
These are critical GA4 metrics for understanding content quality and user intent. A high bounce rate and low dwell time often signal that your page isn't relevant to the visitor or the search query. Conversely, a low bounce rate and high dwell time indicate engaged users, which is a positive ranking signal for SEO and a sign of effective messaging.
5. Conversion rate (CVR)
Conversion Rate (CVR) is the percentage of users who complete a desired action (a "conversion") out of the total number of visitors. A conversion can be a purchase, a form submission, a phone call, or any other valuable goal.
The formula is:
CVR = (Total Number of Conversions ÷ Total Number of Visitors) × 100
Conversion rate is the ultimate test of your message-market fit and user experience. Improving your CVR is the most efficient way to increase ROI without spending more on traffic.
6. Cost per lead (CPL)
Cost Per Lead (CPL) is a digital advertising metric that measures the average cost to acquire a new lead (e.g., someone who fills out a contact form or signs up for a newsletter).
The formula is:
CPL = Total Ad Spend ÷ Total Number of Leads Generated
CPL is essential for evaluating the efficiency of your top-of-funnel and middle-of-funnel marketing activities. It allows you to compare the cost-effectiveness of different channels and campaigns in generating potential customer contacts, helping you optimize your budget for lead generation.
7. Cost per acquisition (CPA)
Cost Per Acquisition (CPA), also known as Cost Per Action or Cost Per Purchase, measures the average cost to acquire one paying customer. It is a cornerstone KPI for digital marketing.
The formula is:
CPA = Total Campaign Cost ÷ Total Number of Customers Acquired
While CPL measures the cost of a lead, CPA measures the cost of an actual customer. This is the ultimate metric for evaluating campaign profitability and marketing ROI. It tells you exactly what you're paying to earn revenue, making it critical for scaling your business sustainably.
8. Return on ad spend (ROAS)
Return on Ad Spend (ROAS) is a crucial digital advertising metric that measures the revenue generated for every dollar spent on advertising.
The formula is:
ROAS = (Revenue Attributable to Ads ÷ Cost of Ads)
ROAS is the most direct measure of advertising campaign profitability. It helps you understand which channels and campaigns are driving revenue and which are draining your budget. A ROAS of 500% (or 5:1) means you earn $5 for every $1 spent.
9. Marketing efficiency ratio (MER)
Marketing Efficiency Ratio (MER), or Total Marketing ROAS, measures the overall efficiency of your entire marketing strategy by comparing total marketing revenue to total marketing spend.
The formula is:
MER = (Total Marketing Revenue ÷ Total Marketing Spend)
While ROAS looks at individual campaigns, MER provides a big-picture view of your marketing health. It helps identify if overall strategy is working, even if some individual campaigns are not profitable.
10. Customer acquisition cost (CAC)
Customer Acquisition Cost (CAC) is the total cost of sales and marketing efforts needed to acquire a new customer.
The formula is:
CAC = (Total Sales & Marketing Spend ÷ Number of New Customers Acquired)
CAC helps determine how much you can afford to spend to acquire customers while remaining profitable.
11. Customer lifetime value (CLV)
Customer Lifetime Value (CLV) represents the total revenue a business can reasonably expect from a single customer account throughout the business relationship.
The formula is:
CLV = (Average Purchase Value × Purchase Frequency × Average Customer Lifespan)
Why It Matters
CLV helps businesses understand the long-term value of their customers, enabling smarter decisions about how much to spend on acquisition and retention. A high CLV indicates strong customer loyalty and sustainable growth potential.
Customer Retention Rate (CRR) is a vital performance indicator that measures the percentage of your existing customers who remain customers over a specific period.
The standard formula for calculating CRR is:
CRR = [(E-N)/S] x 100
Where:
E = Number of customers at the end of the period
N = Number of new customers acquired during the period
S = Number of customers at the start of the period
This calculation isolates the customers you successfully kept from the total you had at the end, providing a pure look at retention. Retained customers typically cost less to service, often buy more over time, and can become vocal advocates for your brand. They contribute directly to a higher Customer Lifetime Value (CLV), which in turn justifies a higher Customer Acquisition Cost (CAC), creating a virtuous cycle of growth.
13.Net promoter score (NPS)
Net Promoter Score (NPS) is a standardized metric used to gauge customer loyalty, satisfaction, and enthusiasm by measuring their willingness to recommend your company, product, or service to others.
It transcends simple satisfaction by capturing the strength of the customer relationship, classifying respondents into three categories: Promoters, Passives, and Detractors.
The measurement is straightforward. Customers are surveyed with the question: "On a scale of 0 to 10, how likely are you to recommend our company to a friend or colleague?" Based on their responses, they are categorized:
Promoters (Score 9-10): Loyal enthusiasts who will keep buying and refer others.
Passives (Score 7-8): Satisfied but unenthusiastic customers vulnerable to competitive offerings.
Detractors (Score 0-6): Unhappy customers who can damage your brand through negative word-of-mouth.
The NPS is calculated as: % Promoters - % Detractors.
The score can range from -100 to +100.
A high NPS is strongly correlated with repeat business and organic, word-of-mouth acquisition, which is both highly trusted and low-cost.
14. ROI
Return on Investment (ROI) is the fundamental financial metric used to evaluate the efficiency and profitability of an investment. In a marketing context, it measures the net profit generated from your marketing campaigns relative to their total cost. Unlike ROAS, which focuses solely on direct revenue, ROI provides a holistic view of profitability by accounting for the total cost of investment, including agency fees, creative production, and software expenses.
The standard formula for calculating Marketing ROI is:
Marketing ROI = [(Revenue Attributable to Marketing - Cost of Marketing Investment) / Cost of Marketing Investment] x 100
This result is expressed as a percentage. A positive ROI indicates profitability, while a negative ROI signifies a loss.
ROI is the ultimate benchmark for marketing success, directly connecting activities to the company's financial health. By focusing on ROI, you shift the conversation from "how much did we spend?" to "what was the financial return on our spend?"
How to Improve ROI?
While performance channels are easily measured, brand-building efforts like TV and streaming advertising create long-term value. A balanced strategy that builds mental availability in a high-attention environment makes all your performance marketing more effective, thereby improving overall ROI. To master this balance, AI Digital created this guide to show you exactly how to improve your Return on Investment (ROI) by integrating these powerful channels.
15. Attribution accuracy / Data quality score
Attribution Accuracy is the foundation that determines the reliability of all other KPIs. A Data Quality Score is a composite measure that evaluates the health and completeness of your marketing data, tracking factors like tracking code errors, cookie consent rates, and data integration gaps.
While there is no single formula, key indicators include:
Tracking Coverage: (% of website pages with proper tracking tags installed)
Attribution Model Discrepancy: (Variance in conversion value between first-touch and data-driven models)
Cookie Consent Rate: (% of users accepting analytics cookies)
Without accurate attribution and clean data, every other KPI in this guide—from ROAS to CPA—is fundamentally compromised. Poor data quality leads to misguided budget decisions, as you might be scaling channels that appear to be driving conversions but are merely taking credit for them. High attribution accuracy ensures you are investing in the marketing activities that genuinely drive growth, maximizing true marketing ROI.
How to choose the right KPIs for your campaign
Choosing the right digital marketing KPIs is not a one-size-fits-all process; it's a strategic exercise in alignment. The most effective key performance indicators are those that directly reflect your campaign's primary objective. By mapping your goals to specific marketing performance indicators, you create a focused marketing dashboard that provides actionable insights and a clear measure of success.
Putting It Into Practice:
For an Awareness Campaign launching a new product, you would focus on CTR and Impressions to gauge initial interest and reach, not CPA. A high number of impressions with a low cost indicates you are efficiently building visibility.
For a Conversion Campaign promoting a limited-time sale, CVR and ROAS are your north stars. They tell you if your offer is compelling and if the campaign is profitable, making other metrics like social media likes secondary.
For a Retention Campaign aimed at existing customers, tracking NPS and CLV helps you understand customer satisfaction and long-term profitability, guiding investments in loyalty programs and customer service.
Measuring and reporting KPIs effectively
Collecting data is only half the battle; the true power of digital marketing KPIs is unlocked through effective measurement, visualization, and interpretation. In 2024, manual reporting is no longer sufficient. To keep pace with the customer journey, you need AI-automation and sophisticated data visualization tools that provide a unified, actionable view of performance.
However, relying on a single source for metrics from every channel creates a fragmented and often contradictory view of performance. Here it comes to Elevate: it's a centralized command center that unifies your marketing data from every channel—including streaming TV, digital advertising, and owned properties—and enhances it with proprietary artificial intelligence.
Unlike siloed platforms that require manual reconciliation, Elevate provides a single source of truth for all your campaign performance metrics, from top-funnel brand lift to bottom-funnel ROI.
Unified Cross-Channel Attribution
Predictive AI and Automation
Intelligent, Actionable Dashboards
Seamless Integration for a Holistic View
In short, AI Digital Elevate is the best solution because it replaces fragmented data and reactive reporting with intelligent, automated, and actionable insights.
Common mistakes when tracking KPIs
Even with the best intentions, marketers often fall into common traps that undermine their ability to measure digital marketing success. Avoiding these errors is crucial for maintaining data integrity and making sound strategic decisions.
Conclusion: turning metrics into marketing insight
In the dynamic landscape of digital marketing, success is not defined by the volume of data you collect, but by the clarity of the insights you extract. This guide has underscored a fundamental truth: effective marketing depends on strategically tracking the right KPIs, not all metrics. By moving beyond vanity metrics and focusing on the key performance indicators that directly impact your business objectives—from ROAS and CPA to CLV and NPS—you gain the power to make smarter, faster, and more profitable decisions across every channel.
💡Measure What Truly Matters: Ruthlessly prioritize the handful of marketing performance indicators that are directly tied to revenue and sustainable growth. This focus cuts through the noise and aligns your entire team on what counts.
💡Be Proactive, Not Reactive: Use your marketing dashboard not as a historical record, but as a live navigation system. This is where AI Digital fundamentally changes the game. Our Elevate platform leverages proprietary AI and real-time data to do more than just report—it anticipates trends, identifies emerging opportunities, and flags potential issues. This allows you to adjust campaigns before performance plateaus, transforming your strategy from reactive reporting to proactive revenue optimization.
💡 Foster a Culture of Continuous Learning: Your KPIs are not a final grade; they are a feedback loop for perpetual optimization. Regularly question, test, and refine your understanding of what drives success, ensuring your strategy evolves alongside your audience and the market.
The goal is to transform raw data into decisive action. By mastering these essential digital marketing KPIs, you equip yourself not just to report on the past, but to actively shape a more profitable and data-confident future.
Blind spot
Key issues
Business impact
AI Digital solution
Lack of transparency in AI models
• Platforms own AI models and train on proprietary data • Brands have little visibility into decision-making • "Walled gardens" restrict data access
• Inefficient ad spend • Limited strategic control • Eroded consumer trust • Potential budget mismanagement
Open Garden framework providing: • Complete transparency • DSP-agnostic execution • Cross-platform data & insights
Optimizing ads vs. optimizing impact
• AI excels at short-term metrics but may struggle with brand building • Consumers can detect AI-generated content • Efficiency might come at cost of authenticity
• Short-term gains at expense of brand health • Potential loss of authentic connection • Reduced effectiveness in storytelling
Smart Supply offering: • Human oversight of AI recommendations • Custom KPI alignment beyond clicks • Brand-safe inventory verification
The illusion of personalization
• Segment optimization rebranded as personalization • First-party data infrastructure challenges • Personalization vs. surveillance concerns
• Potential mismatch between promise and reality • Privacy concerns affecting consumer trust • Cost barriers for smaller businesses
Elevate platform features: • Real-time AI + human intelligence • First-party data activation • Ethical personalization strategies
AI-Driven efficiency vs. decision-making
• AI shifting from tool to decision-maker • Black box optimization like Google Performance Max • Human oversight limitations
• Strategic control loss • Difficulty questioning AI outputs • Inability to measure granular impact • Potential brand damage from mistakes
Managed Service with: • Human strategists overseeing AI • Custom KPI optimization • Complete campaign transparency
Fig. 1. Summary of AI blind spots in advertising
Dimension
Walled garden advantage
Walled garden limitation
Strategic impact
Audience access
Massive, engaged user bases
Limited visibility beyond platform
Reach without understanding
Data control
Sophisticated targeting tools
Data remains siloed within platform
Fragmented customer view
Measurement
Detailed in-platform metrics
Inconsistent cross-platform standards
Difficult performance comparison
Intelligence
Platform-specific insights
Limited data portability
Restricted strategic learning
Optimization
Powerful automated tools
Black-box algorithms
Reduced marketer control
Fig. 2. Strategic trade-offs in walled garden advertising.
Core issue
Platform priority
Walled garden limitation
Real-world example
Attribution opacity
Claiming maximum credit for conversions
Limited visibility into true conversion paths
Meta and TikTok's conflicting attribution models after iOS privacy updates
Data restrictions
Maintaining proprietary data control
Inability to combine platform data with other sources
Amazon DSP's limitations on detailed performance data exports
Cross-channel blindspots
Keeping advertisers within ecosystem
Fragmented view of customer journey
YouTube/DV360 campaigns lacking integration with non-Google platforms
Black box algorithms
Optimizing for platform revenue
Reduced control over campaign execution
Self-serve platforms using opaque ML models with little advertiser input
Performance reporting
Presenting platform in best light
Discrepancies between platform-reported and independently measured results
Consistently higher performance metrics in platform reports vs. third-party measurement
Fig. 1. The Walled garden misalignment: Platform interests vs. advertiser needs.
Key dimension
Challenge
Strategic imperative
ROAS volatility
Softer returns across digital channels
Shift from soft KPIs to measurable revenue impact
Media planning
Static plans no longer effective
Develop agile, modular approaches adaptable to changing conditions
Brand/performance
Traditional division dissolving
Create full-funnel strategies balancing long-term equity with short-term conversion
Capability
Key features
Benefits
Performance data
Elevate forecasting tool
• Vertical-specific insights • Historical data from past economic turbulence • "Cascade planning" functionality • Real-time adaptation
• Provides agility to adjust campaign strategy based on performance • Shows which media channels work best to drive efficient and effective performance • Confident budget reallocation • Reduces reaction time to market shifts
• Dataset from 10,000+ campaigns • Cuts response time from weeks to minutes
• Reaches people most likely to buy • Avoids wasted impressions and budgets on poor-performing placements • Context-aligned messaging
• 25+ billion bid requests analyzed daily • 18% improvement in working media efficiency • 26% increase in engagement during recessions
Full-funnel accountability
• Links awareness campaigns to lower funnel outcomes • Tests if ads actually drive new business • Measures brand perception changes • "Ask Elevate" AI Chat Assistant
• Upper-funnel to outcome connection • Sentiment shift tracking • Personalized messaging • Helps balance immediate sales vs. long-term brand building
• Natural language data queries • True business impact measurement
Open Garden approach
• Cross-platform and channel planning • Not locked into specific platforms • Unified cross-platform reach • Shows exactly where money is spent
• Reduces complexity across channels • Performance-based ad placement • Rapid budget reallocation • Eliminates platform-specific commitments and provides platform-based optimization and agility
• Coverage across all inventory sources • Provides full visibility into spending • Avoids the inability to pivot across platform as you’re not in a singular platform
Fig. 1. How AI Digital helps during economic uncertainty.
Trend
What it means for marketers
Supply & demand lines are blurring
Platforms from Google (P-Max) to Microsoft are merging optimization and inventory in one opaque box. Expect more bundled “best available” media where the algorithm, not the trader, decides channel and publisher mix.
Walled gardens get taller
Microsoft’s O&O set now spans Bing, Xbox, Outlook, Edge and LinkedIn, which just launched revenue-sharing video programs to lure creators and ad dollars. (Business Insider)
Retail & commerce media shape strategy
Microsoft’s Curate lets retailers and data owners package first-party segments, an echo of Amazon’s and Walmart’s approaches. Agencies must master seller-defined audiences as well as buyer-side tactics.
AI oversight becomes critical
Closed AI bidding means fewer levers for traders. Independent verification, incrementality testing and commercial guardrails rise in importance.
Fig. 1. Platform trends and their implications.
Metric
Connected TV (CTV)
Linear TV
Video Completion Rate
94.5%
70%
Purchase Rate After Ad
23%
12%
Ad Attention Rate
57% (prefer CTV ads)
54.5%
Viewer Reach (U.S.)
85% of households
228 million viewers
Retail Media Trends 2025
Access Complete consumer behaviour analyses and competitor benchmarks.
Identify and categorize audience groups based on behaviors, preferences, and characteristics
Michaels Stores: Implemented a genAI platform that increased email personalization from 20% to 95%, leading to a 41% boost in SMS click through rates and a 25% increase in engagement.
Estée Lauder: Partnered with Google Cloud to leverage genAI technologies for real-time consumer feedback monitoring and analyzing consumer sentiment across various channels.
High
Medium
Automated ad campaigns
Automate ad creation, placement, and optimization across various platforms
Showmax: Partnered with AI firms toautomate ad creation and testing, reducing production time by 70% while streamlining their quality assurance process.
Headway: Employed AI tools for ad creation and optimization, boosting performance by 40% and reaching 3.3 billion impressions while incorporating AI-generated content in 20% of their paid campaigns.
High
High
Brand sentiment tracking
Monitor and analyze public opinion about a brand across multiple channels in real time
L’Oréal: Analyzed millions of online comments, images, and videos to identify potential product innovation opportunities, effectively tracking brand sentiment and consumer trends.
Kellogg Company: Used AI to scan trending recipes featuring cereal, leveraging this data to launch targeted social campaigns that capitalize on positive brand sentiment and culinary trends.
High
Low
Campaign strategy optimization
Analyze data to predict optimal campaign approaches, channels, and timing
DoorDash: Leveraged Google’s AI-powered Demand Gen tool, which boosted its conversion rate by 15 times and improved cost per action efficiency by 50% compared with previous campaigns.
Kitsch: Employed Meta’s Advantage+ shopping campaigns with AI-powered tools to optimize campaigns, identifying and delivering top-performing ads to high-value consumers.
High
High
Content strategy
Generate content ideas, predict performance, and optimize distribution strategies
JPMorgan Chase: Collaborated with Persado to develop LLMs for marketing copy, achieving up to 450% higher clickthrough rates compared with human-written ads in pilot tests.
Hotel Chocolat: Employed genAI for concept development and production of its Velvetiser TV ad, which earned the highest-ever System1 score for adomestic appliance commercial.
High
High
Personalization strategy development
Create tailored messaging and experiences for consumers at scale
Stitch Fix: Uses genAI to help stylists interpret customer feedback and provide product recommendations, effectively personalizing shopping experiences.
Instacart: Uses genAI to offer customers personalized recipes, mealplanning ideas, and shopping lists based on individual preferences and habits.
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Questions? We have answers
How many KPIs should I track?
Focus on a "manageable few" rather than a "confusing many." We recommend tracking 5-8 high-level KPIs that directly align with your core business objectives. Tracking too many dilutes focus and resources, while too few may leave critical gaps in your performance picture. The goal is to have a concise dashboard where every KPI demands and informs an action.
What are the most important KPIs for B2B vs. B2C?
While there is overlap, the focus differs due to sales cycle length and customer relationships.
B2B Priorities: Focus on lead quality and pipeline efficiency.
Marketing Qualified Leads (MQLs) & SQLs
Lead-to-Customer Conversion Rate
Customer Lifetime Value (CLV)
Cost Per Lead (CPL)
B2C Priorities: Focus on transaction volume and efficiency.
Return on Ad Spend (ROAS)
Cost Per Acquisition (CPA)
Conversion Rate (CVR)
Average Order Value (AOV)
What is the 70-20-10 rule in digital marketing?
This is a budget allocation framework for balanced growth and innovation.
70% of Budget: Spent on proven, high-performing strategies that you know drive reliable results (e.g., core search and social campaigns).
20% of Budget: Spent on emerging growth opportunities and testing new tactics (e.g., a new social platform or ad format).
10% of Budget: Spent on experimental, "moonshot" ideas that could lead to breakthrough innovations (e.g., new technologies like AR ads).
What are the 7 C's of digital marketing?
This is a customer-centric framework for evaluating your online presence:
Customer: Understand your target audience.
Content: Create valuable and relevant material.
Context: Deliver content at the right time and place.
Community: Build engagement and foster belonging.
Convenience: Ensure a seamless user experience.
Cohesion: Maintain a consistent brand message.
Conversion: Guide users toward a desired action.
What’s the difference between ROI and ROAS?
This is a critical distinction for evaluating profitability.
ROAS (Return on Ad Spend): Measures the revenue generated for every dollar spent on a specific advertising campaign.
Formula: (Revenue from Ads / Cost of Ads)
Focus: Campaign-level efficiency. Answers: "Is this specific ad spend driving revenue?"
ROI (Return on Investment): Measures the overall profitability of your marketing investment, accounting for the total cost of goods sold and other business expenses.
Formula: [(Net Profit from Marketing - Marketing Investment) / Marketing Investment] x 100
Focus: Overall business profitability. Answers: "After all costs, did this marketing effort make us money?" In short, ROAS tells you about revenue, while ROI tells you about profit. A campaign can have a high ROAS but a low or negative ROI if product costs are high.
Have other questions?
If you have more questions, contact us so we can help.