6 real-life Business Process Automation examples for Marketing

6 real-life Business Process Automation examples for Marketing

Automation in marketing is valuable because it can produce personalised, timely communication at scale without losing brand consistency, compliance, or relevance.

The existing example shows the pattern clearly: the best automations turn fragmented lead signals, campaign data, and content inputs into faster follow-up, tailored messaging, and cleaner execution, while leaving positioning, creative judgment, and audience strategy in human hands.

Industry

Sector

Poshmark's AI-Powered Product Listings

Poshmark has significantly lowered the barrier to entry for its sellers by launching Smart List AI, a proprietary tool that automates the creation of product listings. Leveraging advanced image recognition and generative AI powered by Naver, the system analyzes seller-uploaded photos to automatically generate accurate titles, descriptions, and categories, allowing even inexperienced users to produce high-quality listings with minimal effort.

Use Case
AI-automated product listing creation
Tools
Naver AI
Input
Seller-uploaded product photos, product category signals, top-performing listing templates, and pricing benchmarks
Process
The AI analyzes uploaded images to identify product type, brand signals, and condition; it then automatically generates a title, description, and suggested category for the seller to review and publish
Output
Significant reduction in listing friction for casual sellers and an increase in the overall volume of high-quality listings on the platform
Outcome
48% reduction in listing creation time during beta testing
Pure Play Ecommerce
Marketing

Leonardo AI's Character Re-generation and Visual Refinement

Springbok Agency utilised Leonardo.ai to transform the brand mascots of Ethias, a leading Belgian insurer, from flat 2D cartoons into emotionally resonant, Pixar-style 3D characters. By integrating AI into their creative pipeline, the agency moved production in-house, enabling the rapid generation of high-fidelity assets that would have traditionally required expensive external 3D modelling and rendering.

Use Case
Character Re-generation and Visual Refinement
Tools
Leonoardo AI
Input
Original brand-specific character designs (the "Ethi" mascots), existing brand assets, and custom-curated databases of high-quality training images.
Process
Springbok built a specialised five-tool AI pipeline with Leonardo.ai at the core. The team uploaded original characters and used a high-fidelity blending engine to regenerate them with enhanced textures and emotional depth. They employed an iterative feedback loop, using successful outputs to further train the model, and utilised Leonardo’s Motion features to animate the static assets. This "NextGen Studio" approach allowed for seamless style matching and scene transfers between Photoshop and the AI model.
Output
A diverse library of 3D-style, emotionally expressive assets and animated content, including variations in character poses, wardrobe, and accessories (such as the addition of an "Ethi" family dog for pet insurance promotions).
Outcome
Production time for complex campaigns was reduced from one month to just one week. By eliminating the need for external 3D contractors, the agency cut production costs by 70% while maintaining absolute brand integrity and scaling creative output across B2C, B2B, and corporate channels.
Insurance and Pensions
Marketing

Marketing Automation in Law

Submitted by Frederic Kalinke

This AI Automation helps law firms streamline their marketing efforts by auto-generating personalized emails and brochures based on website lead inquiries, delivering tailored client communication that saves one hour of manual administrative work per lead.

Use Case
Marketing Automation
Tools
Google Gemini + Workspace
Input
Website lead
Process
Auto-generate personalised email based on user input or inquiry
Output
Tailored client email and brochure
Outcome
1 hour saved per lead
Legal Services
Marketing
Read blog

Unilever's Streamlined Marketing Content

Unilever utilises advanced AI models, including GPT-3, to automate the generation of marketing content resulting in a 90% reduction in response drafting time and ensuring global brand consistency across all digital touchpoints.

Use Case
Marketing Content Automation
Tools
Internal Tools & Persado AI Platform
Input
Vast datasets aggregated from various consumer sources, customer queries, and existing product specifications.
Process
The system automates the creation of marketing copy and customer emails while generating informative product descriptions for e-commerce platforms. Simultaneously, AI models analyse data to predict emerging customer trends and preferences. The Persado AI platform is further utilised to personalise digital advertisements for individual consumer segments.
Output
Automated marketing copy, customer emails, AI-generated product descriptions, and predictive reports on consumer trends.
Outcome
Drafting time reduced by over 90%, maintaining a consistent brand voice. Personalised ads have seen a 15% increase in conversion rates, while AI-generated descriptions have achieved up to a 70% improvement in product visibility and sales performance.
Grocery and FMCG Retail
Marketing

Tesco's Personalised Loyalty Gamification

Tesco utilises an advanced AI-driven personalisation engine, developed by Eagle Eye (EagleAI), to deliver "Clubcard Challenges" to millions of members. The system transforms routine grocery shopping into a gamified experience by setting bespoke spending targets across specific product categories, significantly increasing incremental spend and customer engagement.

Use Case
Personalised Loyalty Gamification
Tools
Internal Tools & EagleEye
Input
Granular first-party consumer data from the Clubcard loyalty scheme, including transaction history, product preferences, and "index versus average" buying patterns. It also integrates Tesco’s product catalogue and participation metrics from previous loyalty campaigns.
Process
The EagleAI platform executes over 190 individual data-driven decisions per customer to construct a unique set of 20 challenges. The AI utilises deep machine learning to determine the optimal spend thresholds and reward levels for each individual, ensuring the tasks are challenging enough to drive incremental behaviour yet attainable enough to maintain engagement. Members then select 10 of these 20 personalised "quests" to complete over a six-week period.
Output
A highly customised digital dashboard within the Tesco app featuring 20 bespoke challenges (e.g., "Spend £10 on plant-based meals"), real-time progress tracking, and automated point issuance upon completion.
Outcome
Successfully reached 10 million Clubcard members, achieving a 76% conversion rate from page visitors to active players. Of those, 62% reached their first reward threshold. The initiative won "Best Global Loyalty Launch" at the 2025 International Loyalty Awards and allows customers to earn up to £50 in bonus points, which can be doubled in value through Tesco’s reward partners.
Grocery and FMCG Retail
Marketing

Uber's Content Localisation Engine

Uber is building an automated "Dynamic Language Tiering" and localisation system to accelerate entry into new markets, leveraging AI to manage the cultural and linguistic adaptation of its platform across 70+ countries.

Use Case
Geographic Market Entry
Tools
Input
Product content, marketing materials, and regulatory documentation for new regions.
Process
An AI orchestrator selects the best machine translation models for specific content types, while automated "Quality Assurance" agents (Dragon Crawler) test the localised experience for errors.
Output
Automated translation and validation of 85% of all global content.
Outcome
Dramatically reduced time-to-market for new regions and the ability to scale language support based on real-time market demand.
SaaS and Software Products
Marketing
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