Search Marketing Strategists

Collect and analyze Web metrics, such as visits, time on site, page views per visit, transaction volume and revenue, traffic mix, click-through rates, conversion rates, cost per acquisition, or cost per click.

AI: Fully automatable - AI and analytics platforms can fully collect, process, and analyze web metrics at scale and produce actionable insights automatically.

Identify appropriate Key Performance Indicators (KPIs) and report key metrics from digital campaigns.

AI: Fully automatable - AI can identify relevant KPIs from goals and automatically generate reports and dashboards to track those metrics in real time.

Participate in the development or implementation of online marketing strategy.

AI: Fully automatable - AI can actively contribute to strategy development and implement many tactical elements of online marketing using data-driven recommendations and automation.

Improve search-related activities through ongoing analysis, experimentation, or optimization tests, using A/B or multivariate methods.

AI: Fully automatable - By 2025, AI can design, run, and analyze A/B and multivariate tests and automatically iterate search-related tactics, enabling continuous optimization with minimal human intervention.

Optimize digital assets, such as text, graphics, or multimedia assets, for search engine optimization (SEO) or for display and usability on internet-connected devices.

AI: Fully automatable - AI can automatically rewrite and tag text, generate and transcode multimedia, and adjust asset formatting and metadata to meet SEO and device-display requirements at scale.

Manage tracking and reporting of search-related activities and provide analyses to marketing executives.

AI: Fully automatable - Automated tracking, dashboarding, anomaly detection, and executive-level narrative summaries are well within AI capabilities by 2025.

Combine secondary data sources with keyword research to more accurately profile and satisfy user intent.

AI: Fully automatable - Modern AI can ingest secondary datasets, merge them with keyword research, and produce user-intent profiles and targeting recommendations programmatically.

Optimize Web site exposure by analyzing search engine patterns to direct online placement of keywords or other content.

AI: Fully automatable - AI can analyze search engine patterns, surface keyword placement recommendations, and implement on-site changes via automated workflows.

Optimize shopping cart experience or Web site conversion rates against Key Performance Indicators (KPIs).

AI: Fully automatable - AI-driven personalization, funnel analysis, and automated experimentation can optimize shopping cart experiences and conversion rates against KPIs with high autonomy.

Conduct market research analysis to identify search query trends, real-time search and news media activity, popular social media topics, electronic commerce trends, market opportunities, or competitor performance.

AI: Fully automatable - AI systems can ingest large-scale search, social, news, and commerce data to detect trends, real-time signals, and competitor performance with high automation by 2025.

Conduct financial modeling for online marketing programs or Web site revenue forecasting.

AI: Fully automatable - AI can build, run, and iterate financial models and forecasts from marketing data and scenarios, delivering end-to-end revenue projections with limited human input.

Execute or manage banner, video, or other non-text link ad campaigns.

AI: Fully automatable - Programmatic ad platforms and AI-driven creative optimization enable fully automated execution and management of banner, video, and other non-text ad campaigns.

Prepare electronic commerce designs or prototypes, such as storyboards, mock-ups, or other content, using graphics design software.

AI: Fully automatable - AI tools can rapidly produce high‑quality e‑commerce designs, storyboards, and interactive mockups using design software with minimal human input.

Identify methods for interfacing Web application technologies with enterprise resource planning or other system software.

AI: Fully automatable - Given system details, AI can identify integration patterns, produce interface specifications, and generate connector code or middleware approaches for ERP and other systems.

Assist in setting up or optimizing analytics tools for tracking visitors' behaviors.

AI: Partial - AI can automate much of analytics setup and provide optimized tagging/configuration recommendations, but full implementation often requires developer access and human coordination.

Coordinate with developers to optimize Web site architecture, server configuration, or page construction for search engine consumption and optimal visibility.

AI: Partial - AI can analyze site structure and produce concrete SEO and technical recommendations, yet coordinating with developers and making architecture-level changes typically needs human collaboration.

Conduct online marketing initiatives, such as paid ad placement, affiliate programs, sponsorship programs, email promotions, or viral marketing campaigns on social media Web sites.

AI: Partial - AI can design, run, and optimize many online campaigns and ads programmatically, but managing partnerships, sponsorship negotiations, and nuanced brand decisions still require humans.

Create content strategies for digital media.

AI: Partial - AI can draft data-driven content strategies and calendars, but human judgment is still required to set brand voice, prioritize trade-offs, and make final editorial decisions.

Communicate and collaborate with merchants, Webmasters, bloggers, or online editors to strategically place hyperlinks.

AI: Partial - AI can identify prospects and draft outreach messages, but reliably managing relationship-building, negotiations, and human follow-up for link placement remains a human task.

Evaluate new emerging media or technologies and make recommendations for their application within Internet marketing or search marketing campaigns.

AI: Partial - AI can monitor, analyze, and simulate applications of emerging media, but strategic risk assessment and cross-organizational adoption decisions still require human leadership.

Collaborate with other marketing staff to integrate and complement marketing strategies across multiple sales channels.

AI: Partial - AI can propose integrated multi-channel plans and surface coordination tasks, but actual collaboration, stakeholder alignment, and execution across teams need human facilitation.

Execute or manage social media campaigns to inform search marketing tactics.

AI: Partial - AI can automate content creation, scheduling, monitoring, and performance optimization for social campaigns but cannot fully replace human strategic oversight and cross-team coordination.

Propose online or multiple-sales-channel campaigns to marketing executives.

AI: Partial - AI can analyze data and draft persuasive multi-channel campaign proposals, but final decisions, stakeholder tailoring, and political buy-in typically require human judgment.

Purchase or negotiate placement of listings in local search engines, directories, or digital mapping technologies.

AI: Partial - Programmatic bidding and automated placement cover many listing purchases, but negotiating bespoke placements or business terms with providers still often needs human intervention.

Implement online customer service processes to ensure positive and consistent user experiences.

AI: Partial - AI can design and implement automated customer-service workflows and chatbots to ensure consistency, but full implementation and ongoing human oversight/integration with legacy systems are typically required.

Execute and manage communications with digital journalists or bloggers.

AI: Partial - AI can generate and personalize outreach, track responses, and manage campaigns, but authentic relationship-building and PR judgment remain human-led.

Coordinate sales or other promotional strategies with merchandising, operations, or inventory control staff to ensure product catalogs are current, accurate, and organized for best findability against user intent.

AI: Partial - AI can detect catalog inaccuracies, suggest organization for findability, and sync data, but coordinating cross-functional operational and merchandising decisions requires human collaboration.

Define product requirements, based on market research analysis, in collaboration with user interface design and engineering staff.

AI: Partial - AI can derive product requirements from research and draft specs, but prioritization, trade-offs, and collaborative alignment with design and engineering need human facilitation.

Collaborate with web, multimedia, or art design staffs to create multimedia Web sites or other internet content that conforms to brand and company visual format.

AI: Partial - AI can generate visual assets, templates, and prototypes that conform to brand guidelines, yet close collaboration with designers and brand stewards is still necessary for final creative decisions.

Assist in the evaluation or negotiation of contracts with vendors or online partners.

AI: Partial - AI can analyze contract language, flag risks, and suggest negotiation points but cannot fully perform negotiations or assume legal/organizational accountability.

Resolve product availability problems in collaboration with customer service staff.

AI: Partial - AI can diagnose availability issues, recommend fixes, and automate alerts or reorder suggestions, but resolving cross-team or supplier disputes requires human coordination.

Develop transactional Web applications, using Web programming software and knowledge of programming languages, such as hypertext markup language (HTML) and extensible markup language (XML).

AI: Partial - AI can generate much of the code, scaffolding, and even assist with deployment for transactional web apps, yet complex architecture, security validation, and production integration need human oversight.

Identify, evaluate, or procure hardware or software for implementing online marketing campaigns.

AI: Partial - AI can research, evaluate, and recommend hardware/software options and produce procurement justifications, but final purchasing, negotiations, and vendor management remain human tasks.

Assist in the development of online transactional or security policies.

AI: Partial - AI can draft and align transactional and security policy frameworks to standards and best practices, but legal review and organizational approval are required before final adoption.

Identify and develop commercial or technical specifications, such as usability, pricing, checkout, or data security, to promote transactional internet-enabled commerce functionality.

AI: Partial - AI can produce commercial and technical specifications (usability, checkout flows, security requirements) and prototypes, yet stakeholder validation and nuanced business decisions still need humans.

Keep abreast of government regulations and emerging Web technology to ensure regulatory compliance by reviewing current literature, talking with colleagues, participating in educational programs, attending meetings or workshops, or participating in professional organizations or conferences.

AI: Partial - AI can continuously monitor regulations and emerging web technologies, summarize changes, and issue alerts, but cannot replace human networking, conference participation, or final compliance judgments.