Category: Advertising

Local advertising keywords are the starting point for building messages, audiences, and landing pages that convert for restaurants, shops, gyms, and professional studios.

What do we mean by “keyword”

A keyword is a word or phrase that represents the central theme of a search, an ad, or a piece of content, and helps match supply and demand on search engines and advertising platforms.

Using the right keyword helps search tools and advertising platforms show your message to the right people.

Why keywords matter for local campaigns

Keywords are more than words: they signal intent, context, and the immediate need of a potential customer, and this applies to Google Ads, Meta, and other channels.

Local-intent keywords (e.g., “emergency plumber Milan”) increase the likelihood of conversion because they capture users who are ready to act.

Types of keywords and when to use them

Distinguishing short-tail, mid-tail, and long-tail keywords helps choose the right approach: awareness, comparison, or direct conversion.

Long-tail keywords are often the most effective for local businesses because they combine low volume with clear intent and a high likelihood of conversion.

Short-tail, mid-tail and long-tail

Short-tail are generic terms with high volume; mid-tail balance volume and intent; long-tail are specific and more action-oriented.

If you sell local services, favor mid- and long-tail in creatives and landing pages to improve relevance.

Intents: informational, commercial, transactional

Every keyword carries an intent: to learn, to evaluate, or to buy. The ad, the landing page, and the CTA must align with that intent.

Matching the keyword’s intent to the ad proposition increases CTR and conversion rate.

How to find keywords: step by step

1. Start with seed keywords

Initial brainstorming: list the main topics of your service, customer problems, and the real language they use.

Use seed keywords as input in research tools to generate hundreds of more specific variants.

2. Expand with keyword research tools

Tools like Keyword Planner or other professional tools provide volumes, CPCs, and variants; they can also indicate conversational queries drawn from AI prompts.

Combine data from multiple tools to get a reliable overview of demand, cost, and competitiveness.

3. Evaluate keywords with actionable metrics

Consider search volume, keyword difficulty (KD%), personal keyword difficulty (PKD%), CPC, and potential traffic to determine opportunities to pursue.

Don’t choose by volume alone: cross KD/PKD and intent to find realistic and advantageous keywords.

Metrics to consider

Search volume indicates demand, KD measures ranking difficulty, PKD measures domain-specific difficulty, and CPC indicates commercial value.

Use a combination of these metrics to decide whether to target organic, paid, or both.

Organizing keywords: clustering

Keyword clustering groups similar terms to create pages or ad groups that respond to the same intent, avoiding duplication and cannibalization.

Create clusters with a primary keyword and various secondary keywords to cover the full spectrum of queries expected from a single page or campaign.

Practical benefits of clustering

Reduces keyword stuffing, improves topical depth, and helps both SEO and advertising show content relevant to users.

A good cluster enables a single landing page to capture many query variants with the same intent.

How to use keywords in advertising campaigns

Insert the primary keyword into ad headlines, descriptions, and the landing page URL; use variants and long-tail terms for more targeted ad groups.

Make sure headlines, copy, and landing pages explicitly answer the query to maximize CTR and Quality Score on Google Ads.

Recommended structure for local ads

Headlines with the keyword, body text that solves the problem, and a local CTA (book, call, visit). Leverage local extensions and call extensions when possible.

Local business extensions and call extensions increase visibility and ease of contact for nearby users.

AI and agentic search optimization

In the AI era, it’s essential that content is structured to enable retrieval of specific relevant passages, not just page ranking.

Open each section with a clear keyword-framed sentence, use FAQ-style headings, and explicitly name entities to favor selection by AI agents.

Query fan-out and semantic coverage

AI agents expand a question into many sub-queries; your page should cover that range to be cited or used as a source.

Design content to answer related sub-questions to increase chances of appearing in AI overviews and conversational responses.

SEO and advertising practices that integrate

SEO and advertising feed off each other: high-performing organic keywords indicate opportunities for paid campaigns, and paid campaigns can test copy and landing that are also useful for SEO.

Use paid campaigns to validate headlines, offers, and landing pages before investing in broader SEO optimizations.

Operational checklist for your local campaigns

– Define 10 seed keywords related to your services and local language. – Expand with a research tool to discover long-tail variants. – Evaluate volume, KD, PKD, and CPC for each term. – Create clusters and assign a primary keyword to each page or ad group. – Optimize ads and landing pages with the corresponding keyword and intent.

This sequence provides a repeatable roadmap to move from idea to campaign, with metrics to guide priorities and budget.

Critiques and limits: viewpoints compared

The centrality of keywords has been questioned with the rise of AI and conversational search: some say traditional keywords will lose relevance, while others emphasize they remain the glue between demand and supply.

It’s essential to balance the approach: don’t abandon keyword analysis, but integrate it with passage-level optimizations and trust signals for AI agents.

Pro: keyword strategy remains a practical method for mapping intents and creating coherent creatives; enables effective targeting on search and paid. Cons: conversational queries and automated answer generation could favor deep, authoritative content over pages optimized only for keyword.

Additionally, for local SMEs there are practical risks: limited budgets can make competing for high-CPC keywords uneconomical; here long-tail and geotargeting become essential tools.

Another view concerns data reliability: different tools provide different metrics on volume and KD, so basing decisions on a single tool can lead to investment errors.

The operational recommendation is to use multiple sources, validate with low-cost campaigns, and favor keywords that combine clear intent and economic feasibility.

Practical conclusions for local campaign managers

For local businesses, keywords remain a fundamental tool for designing ads, defining audiences, and building landing pages that convert; the move toward AI requires greater attention to content structure and semantic coverage.

Focus on local and long-tail keywords, test copy with low-cost paid campaigns, and structure content so AI and agents can retrieve clear, useful passages.

Source semrush.com

Optimizing landing pages for ads is now critical: Google has filed a patent describing how it could replace weak landing pages with AI-generated pages for users. This development doesn’t mean Google is already substituting pages en masse, but it signals an important direction that could impact traffic and conversions from advertising campaigns.

Understanding the impact now allows you to adapt campaigns and landing pages before the conversion landscape changes. In this article you’ll learn what the patent describes, why local marketers should pay attention, and concrete actions to protect results and advertising investments.

What Google’s patent describes

The patent US12536233B1 describes a system that evaluates landing pages and, if the score falls below the threshold, can display a link to an AI-generated version built by Google. The stated goal is to improve the user experience by showing an alternative page when the brand page is deemed below the quality threshold for conversion.

Why this matters for local advertisers

If your Meta, TikTok, or Google campaigns drive traffic to landing pages with weak signals, you could lose control over the purchase experience and conversions. For local businesses that rely on leads, bookings, calls, or in-store visits, this could translate into fewer conversions despite steady or increasing ad spend.

Practical impact on campaigns

A penalized landing page can reduce ad performance because Google’s algorithm might favor an alternative page with a higher perceived conversion rate. This means optimizing landing pages is not just about SEO: it’s a defensive measure to protect the ROI of paid campaigns.

How the described system works in practice

When a landing page result appears in the SERP, the system computes a score and may update the results page by inserting a link to an AI-generated page if the original page falls below the threshold. The AI pages are built using the brand’s data and the user’s context (query and history) to maximize the likelihood of conversion.

What to do right away: operational checklist

Perform a comprehensive audit of the landing pages used in your campaigns and fix critical errors flagged by site-audit tools first. A baseline today gives you context to measure changes when AI features start interacting with your site.

1) Technical and on-page audit

Fix issues that impact speed, indexing, and usability: these factors directly affect bounce rate and conversion rate. Use tools like Site Audit to identify errors, warnings, and priorities (red errors first).

2) Optimize for user experience

Ensure that the CTA, headline, meta description, and content precisely match the campaign intent to reduce bounce and boost conversions. For transactional queries, avoid vague CTAs like Learn more and prefer action-oriented messages aligned with the user’s desired action.

3) Data and product feed (when applicable)

If you sell products online, align Merchant Center, feeds, and product content: discrepancies between feeds and pages reduce the algorithms’ automated trust. Titles, prices, and attributes must match across data sources to prevent an AI from deeming your page unreliable.

4) Structured data and markup

Implement Product schema and other relevant markup on all product pages and landing pages to improve automatic readability of information. Use the correct schema and verify with the Rich Results Test to prevent errors that could lower the landing page score.

Measurement, tracking, and attribution

Set up server-side tracking to capture orders and leads that may not generate traditional pageviews if the conversion occurs on external surfaces or via agents. Sales without pageviews create an attribution gap that must be managed at the backend level.

Internal reporting

Log the source of each conversion via API to distinguish direct traffic, paid campaigns, and transactions initiated by external agents. This lets you compare internal data with advertising platform data and adjust budgets and creative accordingly.

Brand visibility monitoring

Monitor where your brand appears in AI responses and conversational interfaces to understand if you’re losing visibility on surfaces where consumers begin their research. Visibility tools help identify gaps in presence compared to competitors.

Tactical actions for ad campaigns

A/B testing for landing pages, CTA variants, and creatives should be part of an ongoing process: improve the page that receives traffic from campaigns and scale the winning versions. The goal is to maintain a high landing page score to avoid being replaced by alternative AI pages.

• Identify and fix critical errors before increasing campaign budgets.

• Align messaging between ads and landing pages to reduce bounce and raise perceived quality.

• Implement server-side tracking to reconstruct attribution when pageviews are absent.

Pros and cons of the described model

Google’s model offers potential benefits for users, such as more effective pages at converting, but raises questions about brand control and traffic loss for site owners.

On the positive side, an AI-generated page could offer faster, better-optimized experiences for certain search intents: if your page is truly weak, the user still gets a version that better meets the need.

From the merchants and marketers’ perspective, however, there are several real risks. First, loss of visibility and control: the user might never visit your site, and the business loses brand engagement opportunities, upsell potential, and data collection.

Second, liability and accuracy concerns: third-party generated pages must use up-to-date and correct data; errors or inconsistencies can damage the brand’s image and create legal or reputational issues.

Finally, there’s an economic angle: if the platform providing the AI page also handles the transaction, the company’s monetization channel could change significantly, with potential commissions and new technical integrations required.

In short: the system can benefit user experience but requires marketers to protect their digital presence by improving landing page quality, data, and measurement processes.

Quick checklist for local SMEs

Prioritize: technical audit, UX and CTA, data consistency, structured data, and server-side tracking.

1. Run a Site Audit and fix critical errors.

2. Check consistency between ads and landing pages (message, offer, CTA).

3. Implement or verify structured data and Product schema if you sell online.

4. Prepare server-side reporting to track conversions not visible via pageviews.

5. Monitor brand presence in AI responses and on conversational surfaces.

Recommended next steps

Plan ongoing landing page tests, improve UX signals, and coordinate legal, engineering, and marketing to reduce risks and seize opportunities. Involve the right people in the company: legal for policies, engineering for data and tracking, marketing for creativity and messaging.

Final word: prepare without alarm

Now is not the time for drastic reactions, but for a practical, measurable plan to protect conversions and brand value. Measure today, continually improve, and ensure you have reliable data to decide when these systems become more widespread.

Resources and tools

Use Site Audit, Rich Results Test, and Merchant Center to verify data conformity and consistency; run A/B tests for CTAs and layout.

Technical implementation quick guide (in brief)

Document the data flow between feeds, product pages, Merchant Center, and checkout system; fix mapping IDs and key attributes.

Final words: what to monitor in upcoming releases

Stay updated on signals used for the landing page score, Google’s reporting tools, and developments in agentic commerce to shape how your strategy evolves.

Contact your team

Share this checklist with SEO, advertising, engineering, and customer service to kick off a coordinated action plan.

Finally: protect the value of your campaigns by improving landing pages and data, so you maintain control over experience and conversions—even in a world increasingly influenced by AI.

Source semrush.com

Google Ads for local businesses is the key to more in-store visits, bookings, and leads, but when your business falls into a sensitive category, targeting options shrink. The practical solution is to combine content placements, prebuilt segments, and targeted creative to reach the right audience without violating policies.

Why Sensitive Categories Complicate Local Campaigns

Google’s policies limit the use of custom audiences on sensitive topics, which prevents reaching people directly based on highly specific searches or behaviors. That doesn’t mean you can’t achieve results: you simply need to rethink the approach, using allowed tools like placements and prebuilt segments.

1. Content Targeting: Place Ads Where It Matters

Content targeting lets you choose specific websites, apps, or YouTube channels to show your ads, reducing dependence on custom audiences. For a local display campaign, select pages or apps that cover topics relevant to the service you offer in your geographic area.

• Operational example: for a local beauty center, place ads on pages about cosmetic surgery, anti-aging treatments, or beauty blogs frequented by your target audience.

• Operational example: for a pizzeria or restaurant, use placements on local review sites and apps, food guides, and local YouTube videos to catch those looking for where to eat in the area.

• Operational example: for real estate or agencies, place ads on the most-used real estate apps and sites in your area to capture users in active search mode.

2. Non-linear Targeting: Use Prebuilt Segments

When you can’t use audiences built from behavioral data, use predefined segments such as Detailed Demographics, Affinity, In-Market, and Life Events. These segments contain your ideal audience, even if in a broader form, and are still usable in campaigns.

• Demographics: choose elements like profession or education level to target specific local customer profiles.

• Affinity: identify relevant interests, for example health or sports enthusiasts if you run a gym.

• In-Market and Life Events: reach people in the purchasing or life-change phase, such as relocations or retirements.

How to Apply It in Practice

Combine multiple segments to narrow reach: for example Affinity: Green Living + In-Market: Energy Solutions for a small business selling local energy solutions. Use segment layering to create overlaps that increase the likelihood of reaching interested users.

3. Creative-Led Targeting: The Ad that Picks the Audience

If targeting is broad, the creative must be tightly targeted: copy, images, and video should attract the ideal customer and deter non-interested users. A specific ad does the targeting work the platform can’t do for you, improving CTR, conversion rate, and the algorithm’s training.

• Be incredibly specific: use headlines and images that speak directly to the chosen segment, for example ‘Anti-age treatment for sensitive skin’ instead of ‘Best cosmetic treatment’.

• Use jargon and references that only your audience understands: acronyms, industry terms, or local references can increase relevance and reduce unqualified clicks.

Creative Optimization and Testing

Test different levels of specificity in creatives and measure not only CTR but also real engagement and on-site conversions or calls. Monitor metrics like CPA and conversion rate to understand which message works best with the target audience.

Operational Guidelines for Local Campaigns

To apply the three strategies together, follow these steps: identify relevant local placements, select predefined segments that contain your audience, and develop creatives tailored to each segment and placement. Set up targeted experiments with different segments and creatives, and scale the combinations that deliver the best CPA and ROAS at the local level.

Quick Checklist

• Select 10–20 relevant local placements for display and video.

• Overlay 2–3 predefined segments to create a more targeted audience.

• Design creatives that speak directly to the local customer and include a clear call to action.

• Measure CPA, conversion rate, and in-store visits, not just CTR.

Critical Analysis: Limits, Opportunities, and Strategic Choices

The proposed strategies work, but they’re not without limits. Predefined segments can be broad and wasteful if not combined properly, while content targeting takes time to select effective placements. A potential drawback is inefficiency when scaling without monitoring real performance metrics, because broader audiences can raise cost per conversion.

Operationally, one pro is compliance: avoiding sensitive custom audiences respects policies and reduces risk of suspensions or legal issues. This approach forces improvements in creativity and placements, skills valuable even beyond sensitive categories.

Another perspective concerns channel mix: integrating Google Ads with campaigns on Meta and TikTok can compensate for the loss of granularity on Google, but it requires creative coherence and cross-platform data management. For many local businesses, an omnichannel strategy with channel-specific messages and centralized conversion monitoring is the most effective choice.

Finally, the choice between automation and manual control is crucial: solutions like Performance Max offer broad automation but can limit control over placements; manual campaigns with chosen placements offer transparency but cost time. The practical recommendation is to start with manual tests and, if they work, introduce controlled automation to scale.

Recommended Measurement and KPIs

For local businesses, focus metrics on real conversions: calls, bookings, form submissions, and store visits. Set up offline conversion tracking when possible and compare CPA and ROAS for each combination of placement, segment, and creative.

• Local CPA – cost per booking or call.

• Landing conversion rate – percentage of visitors who complete the action.

• Local ROAS – return on ad spend by area or store.

Practical Next Steps to Get Started

1) Map local placements and build a short list based on relevance and volume. 2) Define 3 segment+placement combinations and create 2 creative variants for each for A/B testing. 3) Track calls and visits and test for at least 4 weeks before scaling the winning combinations.

To Conclude: Act with Creativity and Method

Sensitive category restrictions should not hinder local growth: with content targeting, non-linear targeting, and creative-led targeting you can still achieve tangible results. The practical takeaway is to systematically test placements, segments, and creatives and measure real conversions to understand what works for your local business.

If you want, start today by defining two local placements and one highly specific creative, then measure CPA and store visits to decide the next steps. Start with small tests, measure, and scale the combinations that deliver real value.

Source wordstream.com

Introduction

Advertising on Facebook and Instagram is today one of the most concrete tools to grow a local business: from restaurants to gyms, from beauty salons to neighborhood shops, the platform allows reaching target users with different formats and measurable objectives.

For local businesses, the first practical rule is to choose the right tool based on the objective: visibility and engagement are often achieved with boosted posts, while leads and conversions require Ads Manager. This article guides you, step by step, on when to use what and how to obtain measurable results.

What is a boosted post and when to use it

Boosted posts are posts already published on your page that you pay to extend visibility beyond the organic audience.

Boosting a post works best when the content already has good organic engagement: amplify what works to achieve reach and quick interactions. It’s a fast solution to promote local events, grand openings, or short-term offers.

What Ads Manager is and why it’s different

Ads Manager is the complete console to create campaigns with precise objectives (leads, conversions, traffic, sales) and advanced control of targeting and budget.

If your goal is to generate bookings, leads or sales, you must use Ads Manager because it enables optimizations for conversion, retargeting, and granular analytics. Options include custom audiences, lookalike audiences, and pixel-based retargeting.

When to prefer advertising on Facebook and Instagram

For many local SMEs, the choice is not binary: it’s often worth using both solutions in a complementary way.

An effective combination is: boost posts that already perform to increase awareness and, at the same time, launch Ads Manager campaigns for conversions and retargeting. This approach leverages both the speed of boosting and the precision of campaigns.

Practical advantages of boosted posts

Setup speed, simplicity, and results visible in a short time: these are the strengths of boosted posts for those with limited resources.

Use boosted posts to increase local engagement on content that already shows appeal and for seasonal messages or short-term events.

Practical advantages of Ads Manager campaigns

Ads Manager enables A/B testing, conversion objectives, flexible budgets, and integration with the Pixel and Conversion API to monitor real actions.

To obtain bookings, sales, or leads you need Ads Manager because it allows you to optimize toward concrete KPIs such as CPA and ROAS.

Modern features: Advantage+, AI creative, and automation

Meta now offers automated tools (Advantage+) that test audiences, adapt placements, and automatically generate creative variants.

If you have little time, use automation options to test many variants quickly, but always monitor conversion metrics to avoid budget waste.

AI-generated creative

Automatic generation of copy and images allows creating multiple versions and letting the algorithm find the best performing one.

Do not rely solely on automation: test winning variants and maintain control over brand voice and CTAs.

Formats that work for local businesses

Formats that convert for local businesses are short videos, carousels with offers, and ads with a CTA to book or message.

Prefer vertical videos and carousels with a clear CTA, showing the value to the user (menu, services, availability) in 3-5 slides or 15-30 seconds.

Practical targeting for locals

For a local business, geographic targeting is essential: use a radius, demographic segments, and relevant interests to refine the audience.

Combine narrow geo-targeting with custom audiences (site visitors, contacts) and add lookalike audiences to expand your pool with users similar to your best customers.

Measurement: which metrics to watch

For local performance marketing, monitor CTR, CPM, CPA, conversion rate and ROAS at the campaign and audience level.

Set weekly dashboards for CPM, CTR and CPA and compare campaigns to identify where to reduce waste and invest in higher-performing campaigns.

Pros and cons: when to prefer boosts or Ads Manager

Critical discussion: boosting is immediate and simple, Ads Manager offers control but requires strategy; the choice depends on resources, time and objective. In the local context boosting is often the first step to increase awareness without structuring a campaign, but risks waste if content isn’t already validated. Ads Manager is the way to scale measurable results: it enables A/B testing, retargeting and optimizations for conversions, essential when the goal is to achieve bookings or repeatable leads. However Ads Manager requires skills: setting up the Pixel, custom conversions and audiences correctly is crucial; otherwise automated optimizations can miss targets and overspend. Advantage+ automation is useful for those without a traffic team: it automates audiences and creativity, but must be monitored for performance bias and to ensure brand consistency. A pragmatic approach for local SMEs is an iterative cycle: 1) identify winning organic content and boost to test demand; 2) transfer the best content into Ads Manager campaigns with conversion objectives; 3) activate retargeting for those who showed interest; 4) use A/B tests to optimize creative and landing pages. This cycle helps use resources efficiently and gradually move the budget toward scalable results without wasting spend on underperforming boosts.

Operational checklist to launch your first campaign

Follow this sequence to reduce errors and achieve results faster.

• Verify that the Pixel and Conversion API are active and tested on the site.

• Identify 1-2 organic posts to boost to test messaging and creativity.

• Set up Ads Manager campaigns with a conversion objective and local audiences (radius, interests, custom audiences).

• Activate retargeting for site visitors and social interactions.

• Monitor CPM, CTR, CPA and adjust the budget weekly.

Practical conclusion for local businesses

Advertising on Facebook and Instagram requires clear objectives: use boosted posts for quick visibility and Ads Manager for measurable and scalable goals.

Combine both, integrate solid tracking and experiment with creativity; this reduces waste and increases bookings, leads and in-store visits.

Source thryv.com

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.

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.

Source semrush.com