The Complete Guide to Using AI as a Marketing Professional in Charlotte in 2025

By Ludo Fourrage

Last Updated: August 15th 2025

Marketing professional using AI tools with Charlotte, NC skyline in the background, 2025.

Too Long; Didn't Read:

Charlotte marketers should upskill now: UNC Charlotte's 2025 AI Summit drew ~300 registrants; Bank of America's Erica logs 2.5B interactions and 20M users, with 90% employee adoption and >50% fewer IT calls. Pilots can double conversions and cut CAC ~30% with a 6–8 week test.

Charlotte marketers can no longer treat AI as optional: local signals - UNC Charlotte's 2025 AI Summit drew nearly 300 registrations (including about 150 faculty across 90 departments) and events like UNC Charlotte 2025 AI Summit event page and Build with AI Charlotte 2025 Google GDG event show practical, ethics‑aware uses from generative agents to analytics; nationally, a Bluevine survey found 61.3% of small business owners view AI favorably and marketing is already a top use (39.4%), so local teams who learn hands‑on tools and prompt craft can cut costs, personalize campaigns, and keep jobs strategic rather than transactional - a clear reason to upskill now via focused training like Nucamp AI Essentials for Work bootcamp registration.

Program Details
AI Essentials for Work AI at Work: Foundations; Writing AI Prompts; Job-Based Practical AI Skills
Length 15 Weeks
Includes AI at Work: Foundations; Writing AI Prompts; Job-Based Practical AI Skills
Early bird cost $3,582
Syllabus AI Essentials for Work syllabus and course outline
Register Register for the AI Essentials for Work bootcamp

“The faculty and staff participating in the AI Summit displayed a commitment to thoughtful, responsible and ethical AI integration that supports teaching and learning in meaningful ways.” - Jennifer Troyer, provost and vice chancellor for academic affairs

Table of Contents

  • Understanding AI Basics - What Marketers in Charlotte Need to Know
  • How AI Is Transforming Business Operations in Charlotte in 2025
  • Can I Use AI in Digital Marketing? Practical Tools and Stack for Charlotte Marketers
  • Modeling the Non‑Linear Customer Journey in Charlotte: Influence Maps vs. Funnels
  • Measurement, Attribution, and Testing - Modern Measurement for Charlotte Marketing Teams
  • Creative at Scale: Using AI to Generate Localized Content for Charlotte Audiences
  • Is AI Going to Take Over Marketing Jobs in Charlotte? Skills, Roles, and Hiring Advice
  • A 6‑Step Action Plan for Charlotte Marketing Professionals to Start Using AI Today
  • Conclusion: The Future of Marketing Using AI in Charlotte - Next Steps and Resources
  • Frequently Asked Questions

Check out next:

Understanding AI Basics - What Marketers in Charlotte Need to Know

(Up)

Understanding AI starts with practical, local examples: Bank of America's Charlotte-area deployments show how conversational agents and internal assistants move work from routine tasks to higher-value marketing and client engagement - Erica, launched in 2018, now records more than 2.5 billion client interactions and 20 million active users, while the internal “Erica for Employees” tool is used by over 90% of employees and has reduced IT service‑desk calls by more than 50%, freeing time that the bank reports can be reallocated to client work and growth; those operational gains matter to Charlotte marketers because falling inference costs and rapid investment in AI (see the Bank of America AI dictionary on next‑generation trends) mean pilots can scale affordably if tied to specific KPIs like time saved, lead conversion lift, or reduced creative turnaround.

MetricValue
Erica client interactions2.5 billion+
Active Erica clients20 million
Erica for Employees adoption90%+ of employees
IT service‑desk call reductionMore than 50%
Developer coding efficiency (GenAI)~20% reported gain

“AI is having a transformative effect on employee efficiency and operational excellence.” - Aditya Bhasin, Chief Technology & Information Officer, Bank of America

Fill this form to download the Bootcamp Syllabus

And learn about Nucamp's Bootcamps and why aspiring developers choose us.

How AI Is Transforming Business Operations in Charlotte in 2025

(Up)

Charlotte businesses are seeing AI move from pilot to production in everyday operations: Bank of America's expansion of Erica and internal AI tools shows how conversational assistants handle routine client requests at scale (over 2.5 billion Erica interactions and ~20 million active users), while “Erica for Employees” is used by more than 90% of staff and has cut IT service‑desk calls by over 50%, freeing tens of thousands of hours that can be reallocated to client engagement and targeted local campaigns; developers report roughly 20% efficiency gains from GenAI coding assistants, and proactive digital alerts and automated payment workflows now drive millions of timely, personalized touchpoints each month - practical signals for Charlotte marketing teams to partner with IT on narrow, KPI‑driven automations (lead routing, billing inquiries, appointment scheduling) that reduce response time and shrink creative turnaround, letting teams focus on localized messaging and measurement instead of repetitive tasks (see Bank of America's reporting on AI adoption and digital interactions for operational detail).

Operational MetricValue
Erica client interactions2.5 billion+
Active Erica users~20 million
Erica for Employees adoption90%+ of employees
IT service‑desk call reductionMore than 50%
Developer coding efficiency (GenAI)~20% reported gain

“Erica acts as both a personal concierge and mission control for our clients.” - Nikki Katz, Head of Digital, Bank of America

Can I Use AI in Digital Marketing? Practical Tools and Stack for Charlotte Marketers

(Up)

Charlotte marketing teams can put AI to work today by building a privacy‑first stack that centers first‑party data, a modern CDP/CRM, and real‑time activation tools: use first‑party signals captured on site and in email to fuel AI-driven segmentation and dynamic creative, connect those profiles to ad platforms that support real‑time optimization (GA4 + Google Tag Manager for event plumbing and attribution), and layer on personalization engines or platforms like StackAdapt first-party data guidance for AI advertising to turn consented signals into higher‑value audiences; performance advertisers also recommend agency or partner expertise to manage model tuning and measurement rather than treating AI as “set and forget” - the payoff is tangible: first‑party strategies have been tied to roughly a 2x increase in conversion rates and a ~30% drop in CAC, so Charlotte teams that combine CDP/CRM integration, dynamic creative optimization, and AI‑powered ad optimization can both protect customer trust and measurably lower acquisition costs (see practical tips on choosing a performance advertising partner and integrating ad measurement in 2025).

For event‑driven content and nurture, consider platforms that unify engagement and first‑party signals - ON24's Lumina shows how tying webinars to Salesforce/Pardot feeds audience intent back into the stack for smarter activation.

“The question isn't whether you need to evolve, it's whether you'll lead the transformation or get left behind.” - Carlotta Contreras, Why Your Business Needs a Performance Advertising Agency in 2025

Fill this form to download the Bootcamp Syllabus

And learn about Nucamp's Bootcamps and why aspiring developers choose us.

Modeling the Non‑Linear Customer Journey in Charlotte: Influence Maps vs. Funnels

(Up)

Charlotte marketing teams must move beyond a single, linear funnel and adopt influence maps that reflect how modern shoppers hop between screens, stores, and social proof - Google research shows consumers can touch 130+ mobile touchpoints a day, so a straight funnel misses the detours that actually change decisions; mapping those detours surfaces high‑leverage moments - early discovery, active identification, and post‑purchase advocacy - where localized SEO, targeted CTV spots, and in‑store signage or reviews nudge Charlotte buyers most effectively.

Influence maps combine qualitative shop‑along insights with quantitative touchpoint weights (so teams can prioritize investment rather than spray spend) and create testable hypotheses for AI‑driven attribution and automation; for practical mapping methods and examples, see Think with Google's customer journey mapping and W5's consumer‑journey approach to prioritize touchpoints and validate them with metrics.

“wheel” and spoke model W5

StageRole in the Journey
DiscoveringPassive exposure and inspiration across digital and traditional channels
IdentifyingActive search and evaluation across sites, reviews, and video
Post‑purchase EngagementRetention and advocacy that feed future discovery

Measurement, Attribution, and Testing - Modern Measurement for Charlotte Marketing Teams

(Up)

Modern measurement in Charlotte demands a shift from last‑click arguments to causal, testable systems: local learning events - from the sold‑out MMI 2024 Annual Conference in Charlotte to technical programs that teach causal methods - show that the skills live at the intersection of experiment design, causal diagrams, and reproducible analytics; practitioners can use the same toolchain ISPOR highlights (directed acyclic graphs, causal inference workflows, and R‑based modeling) to turn first‑party event plumbing into robust holdout tests and defendable attribution.

Run small, fast randomized holdouts for creative or channel shifts, instrument event‑level tagging so models learn from real outcomes, and codify assumptions with simple DAGs before applying LLM‑augmented analysis pipelines - ISPOR's program includes hands‑on sessions like “Causal Inference and Causal Diagrams in Big, Real‑World Observational Data” and “Using LLMs to Simplify Real‑World Evidence Research” that map directly to marketer tasks.

So what? Charlotte teams that learn these methods stop debating vanity metrics and instead produce repeatable, stakeholder‑ready lift estimates that survive budgeting conversations and scale local campaigns with confidence; start by inventorying event tags, choosing one KPI for a 6–8 week holdout, and iterating.

ResourceWhy it matters
MMI 2024 Annual Conference in Charlotte (Event Details)Local forum on marketing trends and digital asset management (Oct 15–17, 2024; sold out)
ISPOR 2025 Conference Program: Causal Inference and LLM SessionsHands‑on sessions on causal inference, R modeling, and LLMs for real‑world evidence and measurement

Fill this form to download the Bootcamp Syllabus

And learn about Nucamp's Bootcamps and why aspiring developers choose us.

Creative at Scale: Using AI to Generate Localized Content for Charlotte Audiences

(Up)

Scale localized creative by using AI to generate tailored landing pages, neighborhood FAQs, and ad variants that speak to Charlotte audiences in NoDa, South End, Ballantyne, and Uptown - then tune those assets for the new AI surfaces that matter: Online Advantages AI Search Optimization for Charlotte businesses targets visibility in Google's AI Overviews and similar platforms to make local answers show up where intent is highest; combine that with playbooks from local agencies that map influence moments across channels and recommend AI-first creative workflows for multimodal formats, for example the Charlotte Business Owner's Guide to the AI Era - AI marketing playbooks from Overtop Media.

Practical detail: use generative tools to produce multiple headline and FAQ variants plus a regionally voiced ad track (e.g., ElevenLabs voice AI for localized narration) so teams can test messaging by neighborhood without hiring extra voice talent - see ElevenLabs voice AI for localized ad narration - top AI tools for Charlotte marketers - so what? this approach puts relevant, local content into the AI-driven discovery paths Charlotte consumers use most, reducing manual copywork and increasing the chance that search‑generated summaries and multimodal results show your business first.

Is AI Going to Take Over Marketing Jobs in Charlotte? Skills, Roles, and Hiring Advice

(Up)

AI will reshape marketing jobs in Charlotte more than erase them: IBM's Institute for Business Value found that “4 in 5 executives say generative AI will change employee roles and skills,” signaling a strategic shift that local hiring teams should plan for now (IBM Institute for Business Value report on the augmented workforce); complementary analysis from Microsoft shows the highest AI applicability in sales, writing, research, and customer‑facing tasks, while creativity, strategic interpretation, and in‑person relationship work remain human strengths (Microsoft analysis of marketing jobs most affected by AI).

For Charlotte employers - where large local adopters like Bank of America have already deployed conversational agents - practical hiring advice is simple and concrete: prioritize candidates who pair domain expertise with AI fluency (prompting, model‑assisted testing, and measurement), keep at least one creative lead focused on visual and strategic differentiation, and build reskilling plans so current staff move into higher‑value roles rather than compete with automation (Local example: Bank of America's Erica and employee AI tools).

So what? Teams that hire for AI collaboration and preserve human strengths (strategy, design, client relationships) will convert productivity gains into sustained local competitive advantage.

IndicatorValue / Note
Executives saying generative AI will change roles4 in 5 (IBM Institute for Business Value)
Writers and Authors - AI applicability score0.45 (Microsoft)
Sales Representatives - AI applicability score0.46 (Microsoft)
Customer Service Representatives - AI applicability score0.44 (Microsoft)

“AI won't replace people - but people who use AI will replace people who don't.” - IBM Institute for Business Value

A 6‑Step Action Plan for Charlotte Marketing Professionals to Start Using AI Today

(Up)

Start small and measurable with this 6-step action plan for Charlotte marketers: 1) Inventory and own first‑party signals (emails, site events, CRM fields) to stop relying on third‑party cookies - see practical guidance on Charlotte first-party data list building and CRM marketing guide; 2) Choose one high‑value KPI (e.g., leads or checkout conversion) and run a single 6–8 week randomized holdout so results produce a defendable lift estimate for stakeholders; 3) Select 1–2 AI tools from a vetted list (creative voice, copy variants, and workflow automation) and limit the pilot to clearly defined inputs and outputs - refer to a regional tools roundup for Charlotte marketers (Top 10 AI tools for Charlotte marketers in 2025 - regional tools roundup); 4) Localize creative early (neighborhood headlines, FAQ variants, and a regionally voiced ad track) and A/B the variants to avoid overgeneralized output; 5) Add an accessibility check to the launch checklist if services reach EU customers - patch common failures now to meet the European Accessibility Act deadline and limit legal risk (European Accessibility Act compliance steps for businesses); 6) Document the experiment, codify tag/event definitions, and run a 30‑minute reskilling session so one cross‑functional owner can repeat the next pilot.

So what? A single, well‑instrumented 6–8 week pilot using owned data produces a defensible lift number and a repeatable recipe that wins budget and scales local AI work without hiring a specialist team.

StepImmediate Action
1. DataInventory first‑party signals and consolidate in CRM/CDP
2. KPI & TestPick one KPI; run a 6–8 week randomized holdout
3. ToolsPilot 1–2 vetted AI tools (creative + automation)
4. LocalizeProduce neighborhood variants and voice tracks
5. AccessibilityRun an EAA/WCAG checklist if serving EU users
6. Train & RepeatDocument, run a short reskill session, and scale

Conclusion: The Future of Marketing Using AI in Charlotte - Next Steps and Resources

(Up)

Charlotte's AI moment is already local and practical - keep momentum by pairing hands‑on training with a single, measurable pilot: attend local convenings to network and learn (UNC Charlotte's full‑day AI Summit on May 14, 2025 showcased campus‑to‑industry examples and practical workshops) and combine that learning with a focused 6–8 week randomized pilot using owned CRM/site events so stakeholders get a defensible lift estimate; for skills, consider a structured course like Nucamp's 15‑week Nucamp AI Essentials for Work syllabus and Nucamp AI Essentials for Work registration to build prompt craft, tool fluency, and cross‑functional playbooks in a timetable that fits marketing teams.

So what? A short, instrumented pilot plus a repeatable training path turns abstract AI promises into a repeatable recipe for lower CAC, faster creative turnaround, and measurable local lift - the two‑step playbook for Charlotte teams ready to lead rather than react.

Resource Date / Length Immediate next step
UNC Charlotte 2025 AI Summit details May 14, 2025 (full day) Review sessions/archives and adopt one classroom‑to‑workshop insight for your team
Charlotte AI Summit (CPCC) June 20, 2025 (one day) Attend panels/workshops to meet vendors and hires in the region
Nucamp AI Essentials for Work syllabus 15 weeks; early bird $3,582 Enroll in Nucamp AI Essentials for Work and assign a cross‑functional owner to run the first 6–8 week pilot

“AI isn't here to replace us. It's here to evolve with us. It's a mirror of human imagination, a bridge across barriers, and a catalyst for possibility.” - Ann Gonzales, President & CEO, Carolinas Asian‑American Chamber of Commerce

Frequently Asked Questions

(Up)

Why should Charlotte marketing professionals adopt AI in 2025?

AI adoption in Charlotte is already practical and measurable: local deployments (e.g., Bank of America's Erica) show large operational gains - 2.5 billion client interactions, ~20 million active users, 90%+ internal adoption and >50% reduction in IT service‑desk calls - while national surveys report marketing as a top AI use (39.4%). Marketers who learn hands‑on tools, prompt craft, and causal measurement can cut costs, personalize campaigns, shorten creative turnaround, and shift roles from transactional to strategic. Upskilling through focused training and short, KPI‑driven pilots is recommended.

What practical AI stack and tools should Charlotte teams use for digital marketing?

Build a privacy‑first stack centered on first‑party data with a modern CDP/CRM, event plumbing (GA4 + Google Tag Manager), and real‑time activation to ad platforms. Layer in personalization engines and vetted generative tools for dynamic creative, voice narration, and workflow automation. Use partners or agencies for model tuning and measurement. First‑party strategies have been tied to roughly 2x conversion rates and ~30% lower CAC when combined with AI‑driven segmentation and dynamic creative.

How should Charlotte marketers measure AI-driven campaigns and attribute lift?

Move from last‑click to causal, testable systems: instrument event‑level tagging, codify assumptions with simple causal diagrams (DAGs), and run small randomized holdouts (6–8 weeks) to produce defendable lift estimates. Use reproducible analytics and experiment design (R or equivalent toolchains) and consider LLM‑augmented analysis for synthesizing results. Start by inventorying tags, picking one KPI for a holdout, and iterating based on measurable lift.

Will AI replace marketing jobs in Charlotte and how should hiring change?

AI will reshape roles rather than eliminate them: 4 in 5 executives expect generative AI to change roles. Employers should hire candidates with domain expertise plus AI fluency (prompting, model testing, measurement), keep creative and relationship-focused roles, and invest in reskilling so staff move into higher‑value tasks. Prioritize people who can collaborate with AI and preserve strategic, creative, and client-facing strengths.

What immediate, practical steps can a Charlotte marketing team take to start using AI?

Follow a 6‑step action plan: 1) Inventory and consolidate first‑party signals in your CRM/CDP; 2) Choose one high‑value KPI and run a 6–8 week randomized holdout; 3) Pilot 1–2 vetted AI tools (creative and automation) with clearly defined inputs/outputs; 4) Localize creative (neighborhood headlines, FAQ variants, regionally voiced ad tracks) and A/B test; 5) Add accessibility checks (EAA/WCAG) if serving EU users; 6) Document the experiment, codify tag definitions, and run a short reskilling session so a cross‑functional owner can repeat and scale the pilot.

You may be interested in the following topics as well:

N

Ludo Fourrage

Founder and CEO

Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. ​With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible