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5 AI Challenges for Multi-Location Marketers & How to Solve Them
5 AI Challenges for Multi-Location Marketers & How to Solve Them
Although artificial intelligence (AI) can help marketing strategies become more efficient and effective, marketers face common challenges when leveraging the technology. Especially those with multiple business locations. Our research found that 44% of marketers believe introducing new AI tools tends to cause confusion. Don't let challenges or concerns around AI hold your brand back from experimenting with these tools and reaping their benefits. Within this blog, we'll break down the top five most common challenges marketers face when leveraging AI and solutions to each challenge. If you're unfamiliar with how marketers incorporate AI into their strategies, our blog on using AI in multi-location marketing can help. Now, let's get into the challenges and their solutions!1. Integration with Existing Systems
One of the most common challenges marketers face when getting started with AI is if and how the technology will integrate with existing solutions. Correctly integrating new AI can be complex, often requiring significant technical expertise and resources. This delays the implementation and adoption. For instance, does the tool that your brand is using to manage social media have AI offerings? If not, can it integrate generative AI tools like ChatGPT or Jasper? If the answer is no, you're left with two options — using the generative AI tools separately and adding to your marketing technology (MarTech) stack or not using the technology until your current systems can support it. Both options present a challenge and may result in too many tools, which can seem daunting and time consuming for marketers with a lot on their plate. Waiting to use AI altogether presents a separate challenge — falling behind the competition. Solution: To solve this issue, your brand should look for an AI-driven and consolidated solution that allows you to manage multiple aspects of your multi-location marketing strategy. Need help finding the right tool for your brand? Our recent blog shares ten questions you should ask MarTech vendors about their investment in AI.2. Lack of Quality Data
A fragmented tech stack can also lead to concerns around data. Marketers may also question the quality and credibility of data when using AI. For instance, with social media, AI can monitor and analyze user-generated content, interactions, and trends to extract insights for targeted campaigns. In reputation management, AI can track online mentions, sentiment, and customer feedback across platforms to assess brand perception. This begs the question, how can you ensure that the data you're receiving is accurate? Can you measure the same key performance indicators (KPIs) you've been tracking in the past? Lack of information around these questions can present a challenge, preventing marketers from using AI. Solution: Your brand can find a tool that allows you to consolidate your MarTech stack while adding an AI layer over different areas of your strategy. This aims to harmonize your data and processes, creating a solid data foundation.3. Understanding and Trusting AI Outputs
Another common challenge around AI? Marketers often don’t understand or trust AI outputs.. At times, generative AI tools can provide unexpected or inaccurate information, leading to skepticism and underutilization. Even ChatGPT itself highlights that its limitations include:- Periodically generating incorrect information
- Occasionally producing harmful instructions or biased content
- Having limited knowledge of world events after 2021
4. Privacy and Compliance Concerns
According to a recent survey, 57% of marketers' most significant concerns about using AI were around data security and privacy. AI often raises privacy and compliance concerns related to data handling and consumer privacy regulations, requiring careful navigation to avoid legal and ethical issues. AI relies heavily on data, and when used in marketing, it often processes personal information to target and personalize campaigns. This raises concerns about data privacy, consent, and compliance with regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Failure to comply with regulations can result in:- Hefty fines
- Legal actions
- Damage to brand reputation