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Digital Marketing Optimization: 10 Best Strategies to Increase Marketing ROI

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Digital Marketing Optimization: 10 Best Strategies to Increase Marketing ROI Digital marketing optimization plays a major role in whether a marketing program grows or remains stagnant. Most teams are running campaigns, tracking metrics, and still scratching their heads, wondering why the pipeline isn’t moving. Honestly? The problem usually comes down to process, not effort. The marketers I’ve seen consistently outperform their peers aren’t running more campaigns; they’re running a tighter system. They share KPIs across channels, connect every touchpoint to revenue, and treat testing as an operating rhythm rather than something they get to “when things slow down.” (Spoiler: things never slow down.) This guide breaks down exactly how to build that system: how optimization works across the full customer lifecycle, ten strategies you can use right now, the metrics that actually matter at each funnel stage, and how AI and AEO are reshaping what “optimized” even means in 2026. Table of Contents What is digital marketing optimization? How digital marketing optimization works across the lifecycle Digital marketing optimization strategies you can use now Digital marketing optimization metrics to track Frequently asked questions Optimization is a system, not a sprint What is digital marketing optimization? Digital marketing optimization is a repeatable process to improve marketing ROI across channels and the customer lifecycle. It’s not a process that can be completed once and be done. You have to approach digital marketing optimization as a continuous discipline of measuring, testing, and...

5 science-backed pricing tips from the U.K.’s top marketing podcast

neuromarketing
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5 science-backed pricing tips from the U.K.’s top marketing podcast In 2007, Coulter and Coulter showed two advertisements to two random groups of customers. Each advertised £10 discounts on flights to Turkey. One listed the tickets at £188. The other showed a higher price: £233. Customers found that the cheaper tickets felt like a worse value. Why? Researchers found that people more easily differentiate smaller numbers. The difference between 4 and 3 seems more salient than 9 and 8. So, customers were more likely to buy when the prices ended in smaller numbers £244 to £233), compared to those ending in higher digits (£199 to £188). The takeaway is fairly simple. Next time you run a discount, make the sale price less than five. That’s just one piece of pricing advice that we’ve discussed on my podcast Nudge, the U.K.’s number one marketing podcast. Here are four more psychology-backed tips for pricing your products. Table of Contents Break down your price. Show the price difference. Be transparent with your costs. Make the difference visible. Break down your price. Check out the two ads for a budget lunch from Huel. One shows the total cost of 21 meals (£78.96). The other breaks down the price per lunch ($3.76). Researchers found that breaking down the price per unit performed better with customers. Showing a lower price led shoppers to perceive that they were getting a better deal. Richard Shotton and Michael Aaron...

Brand Visibility: How to Increase It in the Era of AI

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Brand Visibility: How to Increase It in the Era of AI Brand visibility determines whether your business gets found or gets passed over — in search results, on social feeds, and increasingly, in AI-generated answers. It’s one of the highest-leverage investments a marketing team can make, and also one of the most commonly mismanaged. Most teams treat visibility as a byproduct of other activities: run some ads, publish some content, and hope people notice. The brands that consistently outperform their categories do the opposite — they deliberately build visibility, measure it rigorously, and connect it directly to the pipeline. I’ve watched companies cut their sales cycles nearly in half simply by ensuring prospects arrived at every conversation already familiar with the brand. This guide covers what brand visibility actually means (and how it differs from brand awareness), seven strategies to increase it across traditional and AI-powered channels, and the six metrics that show whether your efforts are translating into revenue—not just impressions. Table of Contents What is brand visibility? Why brand visibility matters for growth How to increase brand visibility for your company Brand visibility metrics to track Frequently asked questions about brand visibility. Visibility is a compounding asset, not a campaign. What is brand visibility? Brand visibility is the frequency and prominence of a brand’s exposure to its target audience across relevant channels. When your ideal customers are searching, scrolling, or asking an AI assistant for a recommendation,...

Product SEO: 8 Strategies That Drive Demand for B2B & SaaS

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Product SEO: 8 Strategies That Drive Demand for B2B & SaaS Product SEO is one of the highest-leveraged — and most overlooked — strategies in B2B and SaaS marketing. While most teams pour resources into top-of-funnel content, the pages that actually drive pipeline decisions, such as feature pages, comparison pages, and pricing pages, often go unoptimized and underperform. Fortunately, fixing that gap doesn’t require rebuilding your entire site. With the right architecture, keyword strategy, and structured content, your product pages can rank for the exact queries buyers are searching when they’re closest to a decision, and convert that traffic into real revenue. Table of Contents What Is Product SEO? Why Is Product SEO Important for B2B and SaaS? How to Optimize Product Pages for SEO Best Product SEO Tools Frequently Asked Questions About Product SEO What Is Product SEO? Product SEO is the practice of optimizing pages that describe, demonstrate, or compare your products and features so they rank in search results and convert visitors into pipeline. It applies across the entire product surface area of your site, not just a single “Products” page. For B2B and SaaS companies specifically, product SEO optimizes: Feature pages (e.g., “/features/email-automation”) Integration pages (e.g., “/integrations/salesforce”) Comparison pages (e.g., “/vs/competitor-name”) Pricing pages (e.g., “/pricing”) Documentation and setup pages (e.g., “/docs/getting-started”) Deployment and use-case pages (e.g., “/solutions/revenue-operations”) This is worth emphasizing because most SEO advice about “product pages”...

Our Vision for Building an Open Ecosystem for the Agent Era

ai-hidden, Artificial Intelligence
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Our Vision for Building an Open Ecosystem for the Agent Era For years, HubSpot invested in making our platform the best place for marketing, sales, and service teams to do their work. With AI, we’ve been building it to do the work for them – through agents that qualify leads, resolve tickets, save deals, and drive outcomes across the business. That’s why we call HubSpot an agentic customer platform. But agents don’t click through dashboards or navigate interfaces; they call APIs, read structured outputs, and take action. Software built for humans has to evolve to be genuinely accessible to agents, too. Access alone isn’t enough, though. Agents also need substance. An agent reasoning over raw records has no way to know what’s normal for a specific business, or what’s worked for hundreds of thousands of companies like it. As we recently wrote, the real AI race isn’t about models or data; it’s about context. That conviction shapes everything we build. It’s why we were among the first to ship an MCP server, and why we’ve kept expanding what agents can read, write, and act on since. That was only the beginning. The vision we are working toward is bigger: Agents can run on HubSpot. And agents can run HubSpot. Running on HubSpot means any agent – ours or anyone else’s – can plug into HubSpot’s data, context, and capabilities as a building block. Running HubSpot means agents can operate the platform end-to-end through our APIs, MCP server, CLI, and whatever...

Keyword clustering: How to create a strategy for topic authority in 2026

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Keyword clustering: How to create a strategy for topic authority in 2026 As a content writer with over 7 years of SEO experience, I can confidently say that keyword clustering is a critical technique—even in a world where the SEO landscape has changed significantly. Keyword clustering builds authority, boosts your business’s web presence, and helps you find your audience wherever they are in their buyer’s journey. But what is keyword clustering, and how does it work? Keep reading to find out. Table of Contents What is keyword clustering? How keyword clustering builds topic authority Keyword clustering methods How to do keyword clustering 4 Best keyword clustering tools Frequently asked questions about keyword clustering. What is keyword clustering? Keyword clustering is an SEO technique that groups related keywords with the same search intent and targets them simultaneously on the same page. For example, people searching for “cat toys,” “toys for cats,” and other variations are looking for the same product and will see the same search results when using search engines or answer engines. Keyword clustering involves targeting a primary keyword and secondary keywords on the same page. The primary keyword is the main term you want to rank for (“cat toys”), and secondary keywords are synonyms and long-tail variants (“toys for cats”). How keyword clustering builds topic authority By building your content around central themes and related keywords, you signal to search engines that you are knowledgeable about...

AEO prompt tracking for marketing teams

AEO Product Launch
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AEO prompt tracking for marketing teams You already track and analyze your SEO strategy — keyword rankings, organic traffic, SERP positions. But when a prospect asks ChatGPT, Perplexity, or Google AI Overviews a buying question and your brand doesn’t appear in the answer, traditional rank tracking can’t tell you that. AEO prompt tracking helps you measure brand visibility within AI-generated answers by monitoring whether (and how) your brand gets cited when real AI prompts are run across the engines your audience is actually using. For marketing leaders, SEO managers, and demand gen teams, it’s the measurement layer that closes the gap between “we publish great content” and “we can prove AI search drives pipeline.” The challenge is that most teams trying to operationalize AEO today are stuck. Prompt-level visibility is limited, AI search data is disconnected from web analytics and CRM, attribution to leads and revenue is unclear, and choosing the best tools for monitoring AEO citations in answer engines feels overwhelming when the category is still emerging. The result is inconsistent reporting, governance gaps, and AEO efforts that stall before they reach a budget conversation. This guide is built to fix that. Below, I’ll walk you through: The metrics marketing should own How to build and maintain a prompt library How to close content gaps that cost you citations How to connect AEO prompt tracking tools step by step (with HubSpot’s AEO Product as your CRM-connected baseline) Everything here is structured...

AEO Competitor Analysis: Track AI Answer Engine Rivals

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AEO Competitor Analysis: Track AI Answer Engine Rivals Every company’s competitors are showing up in AI-generated answers, but do marketers know which ones, for which queries, and why? That’s exactly what AEO competitor analysis is designed to tell teams. Answer engines like ChatGPT, Perplexity, and Google’s AI Overviews don’t rank pages. They cite sources. That shift changes everything about how competitive visibility works. A brand can hold a top-three organic ranking and still be completely absent from the AI answer a prospect reads first. If brands are not tracking who’s earning those citations and how, they’re making content and SEO decisions without half the picture. This guide walks through how to run an AEO competitor analysis from scratch — what to measure, which tools to use, and how to turn findings into content that closes the gap. Table of Contents What is AEO competitor analysis? Why AEO Competitor Analysis Matters Now How to Run an AEO Competitor Analysis Step by Step AEO Competitor Analysis Tools and Workflows AEO Competitor Analysis Metrics and Dashboards Turn AEO Competitor Insights Into Actions Frequently Asked Questions About AEO Competitor Analysis What is AEO competitor analysis? AEO competitor analysis is the process of identifying which brands, pages, and sources answer engines cite in AI-generated responses — and benchmarking a brand’s own visibility against competitors across those same queries. “AEO” stands for Answer Engine Optimization: the practice of structuring content so that AI platforms...

Share of Voice Tools for Growing Companies

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Share of Voice Tools for Growing Companies When tracking share of voice for marketing teams, it’s often assumed to be a vanity metric — a number executives like to include in board decks but one that rarely influences strategy. In practice, that assumption doesn’t hold up. Share of voice (SOV) is one of the clearest leading indicators of whether a brand is gaining or losing visibility long before it shows up in the pipeline. The problem is that most teams measure it inconsistently, compare apples to oranges across channels, and end up with dashboards that no one acts on. This guide is designed to change that. It breaks down what each type of SOV actually measures across SEO, social, paid, and emerging AI search, which tools are worth the investment at different stages of growth, and how to avoid common measurement pitfalls — including the growing issue of AI-driven share of voice bias. It also shows how to connect visibility metrics to CRM, attribution, and revenue outcomes that leadership actually cares about. Table of Contents What are share of voice tools and which SOV types matter? How do share of voice tools calculate SOV? How to Use Share of Voice Tools for SEO How to Measure AI Share of Voice and Avoid Prompt Bias How to Use Share of Voice Tools for Social Media Which share of voice tools help with PR and media monitoring? Share of Voice vs. Share of...

AI citation tracking: How to track (and grow) AI engine citations

Answer Engine Optimization
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AI citation tracking: How to track (and grow) AI engine citations AI search engine citation tracking helps measure brand visibility and authority in AI-powered search results. As AI-powered search experiences reshape how people discover information, evaluate vendors, and build shortlists, visibility inside AI answers is no longer a vanity metric. If AI engines aren’t citing your brand, you’re missing influence at the exact moment buyers are forming opinions. According to HubSpot’s State of Marketing Report, which surveyed more than 1,500 marketers, brand awareness is one of the top marketing priorities through 2026, alongside increasing conversion rates, closing more deals, driving revenue, and strengthening customer relationships. In an AI-search world, those goals are more interconnected than ever. Why? Because a growing share of brand discovery now happens inside AEO tools and within Google’s AI Overviews (AIO). Users increasingly rely on AI-driven responses to answer informational queries, compare service providers, and explore products before they ever click through to a website. AI citation tracking allows you to measure where, how, and why AI engines reference your brand, content, and expertise in generated answers so you can shape your AI strategy and turn AI visibility into growth. Tools like HubSpot AEO track brand visibility, citation frequency, and share of voice across major answer engines and then give teams the recommendations necessary to take action. In this guide, I break down what AI citations actually are, how they differ from mentions, how to track them, and how to grow your presence inside AI-generated...