{ "item_title" : "Building Predictable B2C Growth With AI-Driven Marketing Ops", "item_author" : [" Christian Strutt "], "item_description" : "Predictable B2C growth is not a creative problem - it's an operational one. If your teams have great ideas and best-of-breed tools but still struggle to turn experiments into reliably repeatable gains, this book is your playbook for closing that gap. Building Predictable B2C Growth With AI-Driven Marketing Ops lays out a pragmatic, hands-on approach to designing data-backed journeys, automating campaign execution, and aligning cross-functional teams around measurable outcomes. It's distilled from years of experience helping growth, product, and ops teams move from fragmented campaigns to governed growth systems that scale. What you'll get- A clear architecture for growth: identity, decisioning, composable orchestration, and measurement/governance - and how to integrate them.- Practical frameworks and patterns you can use immediately: event pipelines, canonical customer_id, consent stores, reusable playbooks, and simple decision outputs.- An operational approach to AI: PDAL (Predict → Decide → Act → Learn), confidence→actions matrices, drift monitoring, and how to keep models useful, explainable, and testable.- A proven 90-day plan with weekly milestones, success criteria, and a shipping checklist so you stop building half-done experiments and start producing measurable lifts. Inside the bookYou'll find concise, actionable chapters covering the full stack and operating model:- Data foundations: identity, consent, and the unified customer record- The stack: CDP, CRM, MAP, and event pipelines that actually work together- Journey design and orchestration: triggers, states, reusable flows, and playbooks- AI in the loop: prediction, decisioning, generative acceleration, and safe automation- Acquisition, conversion, retention: practical tactics for media, onboarding, and lifecycle programs- Measurement and experimentation: randomized tests, MTA/MMM calibration, and KPI hygiene- Operating model and governance: SLAs, runbooks, and cross-functional rituals Why this book is differentThis is not theory. It's a playbook: checklists, runbooks, a compact operational thesis, and concrete tradeoffs you'll face (centralization vs. speed, real-time vs. batch, simplicity vs. accuracy). The emphasis is on minimal viable systems that deliver measurable outcomes - not on building perfect models or monolithic platforms before you've proven impact. Who should read it- Growth and marketing leaders who must align teams around predictable outcomes.- Marketing ops and product engineers who build event pipelines, orchestration, and CDP integrations.- Founders and product managers who need a repeatable way to scale acquisition, activation, and retention.- Data and ML practitioners who want to operationalize models and keep AI grounded in experiments. Outcomes you can expect- Faster time to validate a high-leverage flow (cart recovery, trial activation, onboarding).- Measurable incremental lifts from governed automation and randomized tests.- Reduced operational chaos: clearer ownership, SLAs, schema validation, and fewer mis-sent campaigns.- A repeatable cadence of experimentation and improvement that compounds retention and LTV. Read with an experimental mindset: start small, measure, iterate, and scale what works. If you want a ready-to-use 90-day template tailored to your business or to continue the conversation, the author is reachable on LinkedIn: https: //www.linkedin.com/in/christianstrutt/. Start by picking one flow to stabilize this week - and measure the difference in 30 days. That's how predictable growth begins. Contact me at my digital marketing agency www.MiltonKeynesMarketing.uk or via LinkedIn", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/824/452/9798244526165_b.jpg", "price_data" : { "retail_price" : "14.99", "online_price" : "14.99", "our_price" : "14.99", "club_price" : "14.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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