How crypto marketing agencies use AI to create powerful local advertising strategies

We have mentioned that many companies are affected by AI technology. The cryptocurrency marketing industry is one of them.
The cryptocurrency industry is undergoing major changes, and the way new crypto startups’ corporate markets are changing almost as quickly. These changes mean that strategies run a year ago no longer provide the same results, so AI is necessary.
We listened to the Best Crypto Marketing Agency, a rating platform that looked at service providers in the crypto marketing niche, and the company told us that local advertising is destroying the future of cryptocurrency marketing, and AI is at the forefront of these changes.
“We have seen more changes in the cryptocurrency marketing space over the past few months than at any time in the past decade,” they said. “AI has created new opportunities for Indigenous advertisers who are trying to stand out in a more saturated market.”
Many marketers use local advertising because it is a non-infectious method to attract new customers. AI helps crypto businesses sell their services more effectively. AI has proven to be very effective in helping businesses develop marketing strategies, which is why the market size of AI is expected to be worth $26.9 billion this year.
Many institutions specialize in the marketing of cryptocurrency businesses. They use artificial intelligence to improve every part of their strategy.
Here are some ways AI can help them improve their ROI for their customers.
1. Create relevant content in an extensible way
Indigenous advertising companies recognize the need to create quality content. Unfortunately, it’s hard to create content as quickly as possible. This is especially true when trying to create encrypted press releases for timely issues.
AI makes it easier for brands to stand out by creating content more effectively. This helps them provide a lot of content for their local advertising strategies when trying to maintain their edge in the market.
2. Precise positioning
Marketers trying to attract people who want to invest in cryptocurrencies to understand that showing ads to the wrong audience is more than just a waste. It also poses great risks. AI-driven goals provide marketing teams with tools to avoid this. Rather than casting a broad network, AI breaks down cross-platform audience behavior to provide ads to people who are actually interested in topics like blockchain applications, NFTS or DEFI tokens.
This target method is effective. A 2021 study by McKinsey found that companies using AI for marketing and sales increased conversions on average by 25% compared to companies using traditional methods. This performance determines whether new crypto products gain appeal or disappear.
AI learns from every interaction, updating and narrowing the audience over time. It can detect when someone may be involved based on behaviors similar to activities. With hundreds of micro-patterned feeding algorithms, it goes far beyond basic demographic filtering.
3. Enhanced content personalization
Relevance is everything in local advertising. Crypto viewers are particularly selective – they react best to ads that directly to their interests, unlike traditional ads. This is where personalized tools based on AI stand out.
Using AI, marketers can generate ad headlines, thumbnails, and previews of articles that adapt to different user groups. These tools not only tweak language. They recognize which blockchain themes are trending and can recommend offers, air conditioners or white paper downloads at the right time.
Consumers want this relevance. Forbes author Blake Morgan cites a report that found that 91% of people are more likely to interact with brands that show them personalized offers and suggestions. This is an important opportunity for crypto marketing agencies.
“From Spotify to Netflix and Amazon, we are surrounded by extreme personalization every day. Consumers have already expected the level of personalization for companies of all sizes. Investing in personalization efforts to build relationships and create better brand rewards. In this world, the vast majority of companies are focusing on improving the model experience without prioritizing driving a certain model and creating a model of one model, which has led them to create a growing number of models.
Personalization is also becoming a long-term strategy. Nearly 89% of marketing decision makers say personalization is crucial to business success in the next three years. This applies more to cryptocurrency spaces where viewers may differ based on their token preferences, risk appetite, and platform loyalty differences.
4. Fraud detection and budget protection
In online advertising, fraud remains a constant problem. While local ads provide better interactions than standard display ads, especially on mobile devices, the threat of fraudulent clicks is imminent. Some studies report that all ad views, including local formats, have a fraud rate of 14% to 15.6%.
AI brings much-needed protection here. By tracking patterns in traffic and determining irregular behavior, AI systems can block known sources of fraud and suspicious click activity in real time. This helps the marketing team protect the client’s budget and ensures that the actual humans (not bots) see the ads.
According to recent industry data, about 73% of organizations are already using AI for fraud detection. For crypto brands that usually run in a fast-moving environment and target global audiences, these tools do the same as watching each click with a second eye.
4. Predictive analysis of market trends
The crypto market is driven by timing. Whether it’s a pre-sale launch or a sudden popularity of tokens, getting ads at the right moment can define the success of your campaign. AI-driven predictive analytics helps organizations stay one step ahead.
These tools filter thousands of data points to discover trends in obvious situations. They can suggest when certain coins or technologies will gain traction based on search volumes, social chats, or wallet activity.
The forecast analysis market is growing rapidly, with a global valuation of US$18.02 billion in 2024. In crypto marketing, this means more agencies are applying predictive models to guide when and where to run local advertising. For example, if the AI detects rising interest in a particular Layer 2 protocol, the agency can shift ad location to the audience most likely to participate.
This vision can provide marketers with a clear advantage. They can raise their budgets early before ad space becomes crowded or overpriced.