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  • Multichannel Advertising Campaigns: A Practical Guide for SMEs and Local Performance Marketing

    Multichannel Advertising Campaigns: A Practical Guide for SMEs and Local Performance Marketing

    Summary

    This article examines how to use multichannel advertising campaigns for SMEs, with a focus on Performance Max, tracking, and channel reporting to optimize ads on Google and other platforms. It includes practical solutions to increase conversion volume, improve targeting and creative assets, and understand platform limitations.


    Key takeaways

    • Regularly analyze channel performance to discover which platforms perform best and how they relate to ROAS and conversions.

    • Balance PMax with alternative campaigns to increase conversion volume by testing different calls to action and targeting strategies.

    • Use targeted exclusions and optimize assets for the most promising platforms, maintaining profitability and control.

    At this point, PMax placement controls are available only at the account level. The PMax placement settings are available only at the account level. If you have placements you don’t want on PMax but want to show them in other campaigns, you’ll probably need to skip this step, as it would exclude a placement from all campaigns in the account.

    But if you want to be absent from a placement entirely, this solution will remove it from PMax but will also exclude it from all other campaigns. If you want to be absent from a placement entirely, this solution will remove it from PMax and exclude it from all other campaigns.

    Once you’ve created your list of URLs to avoid, go to the Content section and navigate to Exclusions. In the top-right corner, click Edit exclusions.

    From there, if you’ve filtered the view to Performance Max campaigns, you’ll only have the option to add exclusions at the account level; Campaign and Ad Group will be greyed out.

    Once you’ve selected Account, you can browse an exclusions list or click Enter and paste the URLs you want to avoid.

    Visually verify the exclusions applied to the campaigns.

    3. Channel Performance Insights

    The Channel Performance Report shows on which platforms your ads are shown and how this affects overall performance.

    Most PMax campaigns can appear on Google properties, but not all campaigns perform the same on those platforms; some channels can be avoided based on performance.

    With the Channel Performance Report (currently in beta, but rolling out globally), you can now see which platforms your ads appear on and understand how they influence overall performance.

    There is currently no way to directly influence the performance of a specific platform, and platform opt-outs in PMax are not possible as in Demand Gen.

    This is useful for understanding which platform performs best and, if needed, adjusting your assets to focus on that platform without compromising overall performance.

    PMax Performance Problems and Solutions

    Typically, there are three main reasons why Performance Max campaigns may underperform: insufficient conversion volume, weak targeting, and ineffective creative assets.

    Problem #1: Insufficient Conversion Volume

    Insufficient conversion volume is often tied to a weak conversion base. PMax campaigns use either Maximize Conversions or Maximize Conversion Value (and the subtypes TCPA and TROAS); having a solid conversion base is essential.

    If you aren’t seeing many conversions and PMax is struggling, you could balance your PMax strategy with other campaign types to increase conversion volume or test a different call to action that could convert at higher rates.

    Problem #2: Targeting

    It may seem difficult to control a PMax campaign because it is highly automated; however, don’t overlook the targeting controls you can manage to make a difference. Targeting insights are found in the search terms and placement reports discussed earlier. If you’re leveraging strong targets and regularly adding exclusions for low-quality placements, you should be in a good position.

    Problem #3: Ineffective Creative Assets

    Poor-quality creative assets can be one of the reasons for underwhelming performance. Many of these placements rely heavily on visual elements.

    Using the Channel Performance Report, you may deduce that strong performance in Search combined with weak performance on YouTube could indicate your video assets aren’t engaging. However, it’s not an exact science: you can glean what works and adapt your creatives accordingly.

    Performance Max campaigns will always have blind spots, but they now offer reports and controls to steer them toward the right customers and ignore others.

    Use these reports and controls to understand whether your PMax campaigns are performing and what you can do to make them even more efficient. For more ways to improve your Google Ads Performance Max strategy, check out our solutions.

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    Michelle Morgan

    Michelle is the Co-Founder of Paid Media Pros. She has twelve years of experience across all phases of PPC and contributes to the development and execution of search, social, and display campaigns both in agencies and in-house. Her experience gives her a broad, holistic view of paid search, which she regularly shares as an influencer, author, and speaker at events such as SMX, HeroConf and Pubcon, as well as on the Paid Media Pros YouTube channel.

  • How display ads work and how to measure their impact

    How display ads work and how to measure their impact

    Summary

    This article provides a practical guide to what display ads are, how they work, formats, buying models, and metrics to measure their impact in multichannel campaigns for SMEs.


    Key takeaways

    • Choose the right platform for your audience and goals: search, display, or social to maximize reach and reduce costs.

    • Craft clear copy and CTAs, highlighting tangible benefits and a specific call to action.

    • Run structured A/B tests and maintain visual consistency across formats to improve recognition and performance.

    • Monitor key metrics like impressions, CTR, CPA, and ROAS to refine targeting and creativity across multiple channels.

    The key is to define the right platform and create effective creatives to maximize reach and conversions. This guide explores what display ads are, how they work, where they appear, and how to measure their impact on multichannel campaigns for SMEs.

    What are display ads?

    Display ads are visual ads like banners and videos that appear on websites, apps and social to drive visibility, traffic and conversions. They are tools that allow you to reach users while browsing in diverse contexts.

    How do they work?

    They are bought in three main ways: Direct buying, Ad networks (for example Google Display Network) and Programmatic advertising. These models vary in control, management and scalability and allow you to target ads to specific audiences.

    You pay for the inventory available on selected networks or properties and you achieve measurable reach. In practice, buying models let you place ads and measure effectiveness.

    Display ad types include: banners, native, video and interstitial, with responsive formats and remarketing that adapt to the available assets.

    Common cost metrics include CPC and CPM, with CPC per click and CPM per thousand impressions; programmatic buying offers greater transparency and control. These metrics drive targeting and budget decisions.

    Do display ads fit your strategy?

    If the goal is to increase awareness or test creatives, display ads can be useful in the acquisition funnel. To maximize their effectiveness, align copy, creatives and the conversion funnel.

    Casper, an ecommerce mattress brand, tested 467 display ads in the United States over the last year, with an average CPM of $4.35 and a direct publisher agreement share of 63.57%.

    ActiveCampaign relies mainly on programmatic for display campaigns (90.39%), with an average CPM of $2.52 and a below-the-fold impression share of 84.73% to keep costs down.

    Expedia uses a combination of programmatic and direct buys. It spends about $150,000 per month on display ads, conducting frequent A/B tests: they used over 8,000 ad variants in the last 12 months.

    6 tips for effective display campaigns

    1. Choose the right platform for your audience

    The choice of platform depends on where your audience spends time and the level of targeting and scalability. Common options include Google Display Network, Microsoft Audience Network and programmatic platforms.

    Consider which solutions offer the reach and formats suitable for your brand and budget.

    2. Write strong copy and CTAs

    Write copy that communicates a clear benefit and a specific, action-oriented CTA. Keep messages simple and unambiguous within the constraints of ad formats.

    Focus on benefits and concrete evidence rather than the product alone.

    3. Research competitors’ strategies

    Use tools like AdClarity to understand how much competitors spend, which campaigns they launch, and which ads they use. Analyze the reports to identify patterns of success and areas for improvement.

    Check the top ads and top publishers sections to understand where competitors’ ads appear.

    4. Use strong visual elements

    Visual elements are decisive: use high-quality images, keep a simple layout, and maintain a brand-consistent look. Design for small screens and use video or animation sparingly.

    5. Optimize placements and formats

    Test manual and automatic placements and remove those that perform worst. Try different formats to see which generate greater engagement.

    6. Run A/B tests

    Run A/B tests to compare creativity, copy and CTAs, setting clear objectives before you start. Keep sample sizes adequate for reliable results.

    How to measure the impact of your display ads and adjust

    Measure impact by tracking impressions, CTR, conversion rate, CPA and ROAS. Use the data to adjust targeting, creatives and placements across multi-channel.

    To measure brand impact, monitor brand lift and the trend in branded searches to evaluate the awareness generated by the campaign.

    Useful tools include managing metrics for display campaigns, with targeted queries on Organic Rankings to analyze visibility and performance over time.

    The combination of targeted placements and creative flexibility is the key to achieving real results.

    A consistent multi-channel approach allows you to measure impact on awareness, traffic, and conversions reliably.

    Enhance Your Display Ad Strategy

    If you want to accelerate creative production, use tools like AdCreative.ai to generate brand-aligned content. Follow the guided workflow to import brand, create creatives and generate variants for testing.

    Set up your project and generate multiple versions you can use in A/B tests, to quickly iterate on copy and visuals.

  • Lead Prioritization with AI in CRM: Tools to Grow Local Businesses

    Lead Prioritization with AI in CRM: Tools to Grow Local Businesses

    Summary

    This article explores how AI-powered lead prioritization in CRM can improve multi-channel campaigns for SMEs: conversation analysis, real-time ranking, and follow-up recommendations to boost leads, bookings, and conversions without excessive workload.


    Key takeaways

    • Use AI in the CRM to analyze conversations, identify signals of intent, and build a more targeted contact pipeline.

    • Apply real-time lead ranking to prioritize ready-to-buy contacts and reduce wasted follow-ups.

    • Adopt automatic follow-up recommendations for every conversation, accelerating deal closures without manual effort.

    • Monitor key metrics such as CTR, CPA, and ROAS across channels to tailor budget and creative to local specifics.

    AI-powered lead prioritization in CRM can turn operational efficiency into tangible results. Artificial intelligence applied to CRM is not just about automation: it’s a tool that helps identify which leads deserve immediate attention, which conversations are worth deeper analysis, and how to guide every contact toward a real conversion.

    In the multi-channel campaign landscape for local businesses, having a clear view of interactions is crucial. AI can automate data collection from conversations, form submissions, and chats, providing an overview that helps ensure you don’t miss relevant details.

    Leads do not behave uniformly across channels. An integrated analysis of interactions lets you understand signals of interest and prioritize concrete actions.

    An AI-based conversation analysis system can automatically capture and summarize interactions, highlighting key details. This way, the team can stay focused on the conversation while the platform records the essential contact information.

    Call Analysis

    To improve lead management from the very first conversation, AI can automatically extract and log the key points of each call, supporting targeted and timely follow-ups. This way you don’t have to rely on memory or scattered notes alone.

    Pro Tip: look for tools that go beyond calls, but also analyze form submissions and chats to get a complete view of every interaction.

    Lead Prioritization

    After capturing details from each interaction, the choice of which leads to follow up first becomes practical and quick. AI-powered lead prioritization lets you classify in real time the most promising opportunities. The analysis is based on engagement history, the content of conversations, and signals of intent, providing an immediate ranking of opportunities to pursue.

    To improve efficiency, focus on three concrete actions:

    1) respond quickly to high-value leads; 2) limit follow-ups on less interesting leads; 3) allocate resources to leads showing real purchase signals.

    Through ongoing assessment of engagement indicators, you can prioritize contacts with the highest probability of conversion.

    Follow-Up Recommendations

    After a conversation, AI can automatically propose the most probable next steps to close a deal: quotes to send, appointments to schedule, or content to share. This eliminates guessing and makes the next action immediate.

    By shifting focus from indecision to action, the team can ensure timely, relevant, and contextual follow-ups for every contact, accelerating sales cycles and reducing close times.

    Data quality affects effectiveness: for local campaigns, it’s essential to keep interactions up-to-date and define clear scoring rules.

    The Right AI Features Make the Difference

    If you’re evaluating an AI-enabled CRM, it’s important to prioritize features that reliably capture, prioritize, and recommend the next step. Solutions that integrate conversation analysis, lead prioritization, and follow-up recommendations help manage contacts better and focus on activities that truly impact results.

    In particular, new practices include conversation analysis, real-time prioritization, and automatic follow-up suggestions, guiding teams toward concrete actions and faster response times.

    Conclusions for Local Campaigns

    In short, adopting AI tools within the CRM can improve contact quality, accelerate sales cycles, and optimize campaigns across channels, with a particular focus on restaurants, retail, beauty, gyms, and local services. The key is to combine analysis, ranking, and recommendations into a cohesive, action-oriented workflow.

  • Local Trust-Based Marketing: Why Local Trust Wins Multi-Channel Campaigns for SMEs

    Local Trust-Based Marketing: Why Local Trust Wins Multi-Channel Campaigns for SMEs

    Summary

    This article explains how local trust-based marketing substitutes or complements pure advertising for SMEs. It focuses on reviews, engagement, answering questions, and consistency, with practical examples to turn trust into visits, leads, and bookings. It analyzes the long-term value of reputation, measurement options, and different perspectives on ads versus trust management.


    Key takeaways

    • Build local trust with automated reviews, rapid responses, and consistent communication to increase real conversions.

    • Engage the community authentically and turn customers into ambassadors who generate word-of-mouth and new opportunities.

    • Integrate review and CRM tools to automate invites, follow-ups, and KPIs related to leads, bookings, and visits.

    In 2026, growing a SME through advertising campaigns is not only a matter of budget: it’s about trust built in the local area. The local audience values authentic relationships, reputation, and neighbors’ testimonials. Local trust-based marketing is today the most tangible lever to convert interest into measurable actions.

    Visibility alone isn’t enough: people seek recent reviews, effective responses, and signals of genuine customer attention. Trust built over time translates into sustainable value and purchase readiness.

    This approach focuses on the set of elements that make a local business trustworthy: monitoring and managing reviews, responding quickly, maintaining consistency in communications, and letting satisfied customers advocate for us. Collect and automatically manage reviews, respond quickly, and keep communications consistent to stay top of mind.

    For real results, it’s essential: Integrate review and CRM tools to automate review invites, post-service follow-ups, and appointment reminders. The integration boosts efficiency and operational consistency.

    Companies that automate review management and rapid responses achieve higher conversion rates; without wasting time, reputation grows stronger over time.

    People love to buy where others have had positive experiences. Engage your community authentically and make it easy to share feedback and testimonials.

    A long-term approach, not an immediate promotion, builds real loyalty: customers return, bring friends, and recommend the business online. Daily consistency is your best lever for local growth.

    The mechanism is clear: every interaction, review, or message, when managed with consistency and transparency, builds local authority. Reputation is fueled by simple but steady actions.

    How to transform contacts into measurable results

    To measure the success of a local-trust-based strategy, you can monitor: number of reviews collected and quality of responses, response times, volumes of referrals, and new bookings generated by reputation.

    • number of reviews collected and quality of responses

    • 24-hour response rate

    • volumes of referrals and new bookings generated by reputation

    • growth in store traffic or appointments booked

    Integrate review and CRM tools to automate review invites, post-service follow-ups, and appointment reminders. The integration boosts efficiency and operational consistency.

    Another important aspect is online reputation management: responding to reviews, even negative ones, shows care and accountability. A targeted response improves perception and local engagement.

    In short, local trust is not a superficial tactic but a long-term strategy that reduces friction in conversions. Daily consistency builds a base of loyal customers.

    Comparison of approaches: pros and cons

    Some companies believe that investing in continuous ads is the quick path to more leads. The difference lies in combining advertising push with a solid reputation fueled by genuine interactions. On the other hand, some entrepreneurs fear that dedicating resources to reputation management deprives advertising campaigns of immediate purpose and measurability.

    A perspective is that trust should be fed by service: quick responses, helpful staff, and promises kept. When the customer experience is consistent, leads become loyal customers and spontaneous referrals.

    Another viewpoint emphasizes that traditional success metrics (CTR, CPC, CPA) are still useful but need reinterpretation: it’s not enough to measure clicks, but also the quality of interactions and conversions assisted by reviews.

    An hybrid approach that combines targeted advertising and local trust management can deliver sustained results: trust amplifies ad response and lowers cost per lead.

    In a local context, consistency is the key, not improvisation. Establish communication guidelines, response times, and follow-up processes to help build reputation expeditiously.

    Conclusion: trust as a driver of sustainable growth

    To summarize, growing a local business through multi-channel advertising campaigns is more effective when community trust guides interactions and conversions. Investing in reputation, reviews, and daily engagement makes campaigns more effective and sustains growth over time.

  • AI Visibility Audit Semrush: Practical Guide

    AI Visibility Audit Semrush: Practical Guide

    Summary

    This article presents a practical approach to AI visibility auditing using Semrush One. It measures how the brand appears in AI responses, identifies citation-worthy content and gaps, evaluates sentiment, and provides a six-step plan to improve the brand’s presence in AI responses and indexing, with concrete tools and use cases.


    Key takeaways

    • Establish an AI visibility baseline by recording mentions, cited pages, and distribution across AI platforms for time-based comparisons.

    • Identify citeable content and opportunities: focus efforts on educational or comparison pages that AI often cites as sources.

    • Analyze AI sentiment and narrative to understand how your brand is perceived and where to intervene to improve it.

    • Investigate influential external sources and technical issues that limit AI access to your content to boost citability.

    An AI visibility audit helps determine whether your brand appears in AI responses generated by systems like ChatGPT, Perplexity, or Google AI. This tool provides a clear map of where to intervene with targeted content to boost your brand’s presence in AI-generated responses.

    Objectives of an AI Visibility Audit

    Defining six key signals ensures a comprehensive view of how AI cites or omits your brand. We analyze visibility, citations, content, sentiment, and opportunities for concrete action.

    Step 1: Establish the AI visibility baseline

    Start by measuring how your brand appears in AI responses using the Visibility Overview from Semrush’s AI toolkit. This provides a baseline for time-based comparisons against competitors.

    This step provides a useful baseline for assessing progress and areas for improvement.

    A clear baseline enables setting concrete, measurable objectives for AI visibility growth.

    Step 2: Identify citable content

    Check which pages are actually cited in AI responses and how many requests they receive. This shows which URLs are considered reliable sources by the AI.

    Educational and comparison pages tend to receive more citations than promotional or product content.

    Expanding the cited pages helps improve the brand’s citability in AI responses.

    Step 3: Find missing themes and prompts

    Analyze topics where AI responds without mentioning your brand. In Visibility Overview, open Topics & Sources and select Topic Opportunities to discover which questions your content doesn’t cover.

    For Allbirds, for example, high-volume topics like “Running Shoes” show competitors cited but not Allbirds.

    Step 4: Analyze brand sentiment and narrative

    Use Brand Performance reports to examine sentiment and key drivers in AI responses. If Allbirds is often described positively, you can reinforce strengths and address weaknesses.

    AI narrative is not URL-based but can influence how the brand is perceived within a response.

    Understanding AI narrative helps position the brand more effectively in automated discussions.

    Step 5: Identify influential off-site sources

    AI responses commonly cite Reddit, YouTube, Quora, LinkedIn, and Medium; identify which domains carry the most influence. This determines where to invest in content marketing and reputation management.

    If YouTube or Reddit are influential, consider targeted actions on those platforms to improve brand presence.

    Step 6: Check website access issues

    Use Site Audit to identify technical problems that hinder AI access and interpretation. Common issues include weak internal context, pages with few internal links, and missing structured data signals.

    Fixing these aspects helps the AI use your pages as reliable sources.

    How to deliver the AI Visibility Audit

    Present the results in a measurable, actionable way. You can offer a version with screenshots, branded PDF via My Reports, or a brief video walkthrough to align actions and priorities.

    Clear results facilitate quick decisions and concrete actions for the brand.

    What to do after the audit

    Immediate (Week 1): fix technical issues that limit AI access. These fixes impact site accessibility and citability at the site level.

    Near-term (Weeks 2–4): improve citation readiness. Refresh existing content to make it easier for AI to cite.

    Mid-term (2–3 months): expand topic coverage. Create targeted content in areas where your brand is less present.

    Turn results into clear priorities

    With Semrush, AI patterns become observable signals to review and reconfigure over time. Start your AI visibility audit now to anticipate changes in the AI ecosystem and stay competitive.

    In conclusion, a well-conducted audit translates data into concrete actions to improve the brand’s presence in AI responses and related sources.

  • AI Visibility for SMEs: How to Monitor It for Multi-Channel Campaigns

    AI Visibility for SMEs: How to Monitor It for Multi-Channel Campaigns

    Summary

    This article proposes a practical method for measuring AI visibility for SMEs, useful for optimizing campaigns on Meta, TikTok, and Google. It describes concrete metrics (AI Visibility Score, Mentions, Cited Pages), useful tools, and actionable steps to correct inaccurate information and boost exposure.


    Key takeaways

    • Understand the three key AI metrics: AI Visibility Score, Mentions, and Cited Pages, useful for measuring brand exposure.

    • Use large prompt datasets: avoid single rankings and obtain reliable trends on AI’s impact in multi-channel campaigns.

    • Schedule regular checks (daily or weekly) to identify changes, correct information, and protect local reputation.

    • Keep information on your site updated to improve the accuracy of AI responses that cite your resources.

    AI visibility for SMEs has become a key variable for local growth, especially when coordinating campaigns across Meta, Instagram, Facebook, TikTok, and Google/YouTube. Many companies aren’t clear how visible they really are in AI responses. This article proposes a practical approach to monitor it without needing an entire team. With targeted management, the right tools provide useful insights to optimize budget and creative output.

    Why AI visibility is crucial for SMEs

    There are several reasons why AI visibility should not be overlooked:

    • Competition is cited while you remain invisible: while traditional SEO is the focus, competitors that understand AI visibility gain mentions in AI responses.

    • High-intent traffic is being lost: AI search users aren’t browsing casually; they seek answers and concrete solutions, and if your brand isn’t part of the conversation you miss valuable traffic.

    • Brand information spreads inaccurately without control: AI sometimes reproduce outdated or incorrect data; without monitoring you won’t know when this happens to a broad audience.

    • You can’t optimize what you don’t measure: the content strategy may be misaligned with AI discovery; monitoring is essential to guide production.

    • The gap widens every day: ignoring AI visibility lets competitors advance in this channel; early visibility messages become hard to beat later.

    SparkToro research shows that asking the same question 100 times to AI tools yields nearly 100 different brand lists: individual rankings are random, but visibility across thousands of prompts is meaningful.

    This means you need to track thousands of prompts to obtain a reliable view of your brand’s visibility.

    How to monitor AI visibility?

    Effective management relies on tracking visibility trends rather than single rankings per individual query. The SparkToro research justifies this approach: accuracy increases when you observe visibility across multiple prompts.

    For SMEs, Semrush’s AI Visibility Toolkit is a recent solution that allows you to monitor visibility across the leading AI platforms. Our prompt database counts over 239 million queries, providing reliable data on two key metrics:

    • AI Visibility score: shows how often the brand appears in AI responses relative to competitors, on a 0 to 100 scale.

    • Mentions: counts how often the brand appears in AI-generated responses to user queries.

    • Cited pages: monitors how many pages on your site are cited or referred to in AI responses.

    If you don’t have aggregated data, you risk interpreting isolated examples. Reliable visibility requires analysis across thousands of prompts.

    What tools to use to start without breaking the bank?

    What free or starter tools to try?

    You can test Semrush’s AI Visibility Toolkit, Otterly AI, Peec AI, Nightwatch, and AI Search Watcher for monitoring visibility at no upfront cost.

    Here’s what each tool offers:

    • Semrush AI Visibility Toolkit: a 7-day trial to track your brand across AI assistants, analyze sentiment and accuracy, and benchmark against competitors.

    • Otterly AI: a 14-day trial to monitor brand mentions and share of voice in searches and AI assistants.

    • Peec AI: a limited free trial with key visibility tracking and monitoring of how assistants cite your brand.

    • Nightwatch: a 14-day trial with AI visibility tracking integrated with traditional SEO tracking.

    • AI Search Watcher: a free plan for basic tracking on AI search platforms.

    If you have a limited budget or are looking for simple ways to get started, these options help you understand where your brand stands in AI, with no upfront commitments.

    How to correct outdated, missing, or incorrect information about your brand

    Understanding whether AI platforms are spreading incorrect data about your brand is crucial. Follow these steps to correct outdated or inaccurate information:

    1. Find where the information comes from: the information may come from your website, social profiles, business listings, or external content. Identifying the cited sources is the first step to correcting them.

    2. Correct it yourself first: ensure that your website, social profiles, and listings have accurate and up-to-date information.

    3. Publish missing content on your site: if the correct information isn’t present, create a dedicated page that clearly describes it; for example, a comparison page if your products have important differences.

    4. Ask external sources to correct them: contact third-party sites that report incorrect data and request updates; it can take time, but it’s essential for your reputation.

    Getting started with AI visibility monitoring using Semrush

    AI is becoming a key source of discovery for customers. Those who adapt first will have a competitive edge. Yet you can’t optimize your presence if you don’t know how AI cites and describes your brand, or how your content performs in responses. The AI Visibility Toolkit offers tools to monitor your brand’s presence on ChatGPT, Google, and other major platforms.

    Start with a 7-day trial to see exactly where your brand stands in the AI era.