Marketers used to chase tracking crumbs; with third party scripts fading, the winning kitchens are serving first party data on purpose. Treat consented signals as premium ingredients: collected ethically, stored cleanly, and mixed into experiences that feel personal rather than prescriptive. That shift turns privacy constraints into creative constraints that boost relevance.
Start small, move fast, and instrument everything. Focus on clear value exchange, simple preference centers, and real time signals that actually influence the next touchpoint. Measurement should be rebuilt for owned channels so attribution tells a true story instead of guessing at ghosts.
Governance is non negotiable: map where data lives, minimize retention, and make consent easy to change. Brands that bake privacy into design win trust and higher engagement, which in turn improves the quality of every segment.
Practical next steps: audit collection points, pilot a CDP integration, and run a month of experiments replacing guessed audiences with first party segments. The result will be smarter spend, clearer ROI, and happier customers who actually recognize your messages.
AI runs your media-buying logic at absurd speeds, but unlike sci-fi, it doesn't invent strategy - it only executes the one you feed it. Hand it noisy audience lists, half-baked creative, and wishful KPIs and you'll get frantic bid wars and wasted budget. Give it clean signals, crisp objectives, and sensible constraints and it turns brute-force testing into predictable scale.
Operationalize this by treating AI like a junior strategist: define measurement windows, standardize creative briefs (length, formats, hooks), and feed cross-channel performance back into a single model. Run small controlled experiments - one creative variable at a time, consistent audiences, clear win conditions - then scale winners. Keep a human-in-the-loop to pause campaigns that drift or exploit edge-case behaviors models learn from noisy signals.
Bottom line: automation multiplies what you give it. Start with tidy data, better creative, and firm guardrails, and you'll let the machine do the heavy lifting without watching your budget go up in smoke. Start a two-week pilot that focuses on clean inputs and watch optimization stop being scary and start being repeatable.
People used to judge ads by sparkle and polish; today they swipe past. The real currency is human connection — a creator's laugh, a messy behind-the-scenes moment, a candid critique — that turns scrolling into engagement. That doesn't mean ditch production, it means privileging voice over varnish.
Creators translate brand promise into lived experience. Viewers trust recommendations from someone they follow because it feels like advice, not interruption. That trust converts, and it compounds: one authentic clip creates comments, saves, and word-of-mouth far more reliably than the prettiest banner you can design.
Here are quick, practical bets to shift budget and still win:
Track creator lift with simple metrics: engagement rate, view-to-action ratios, and repeat-purchase indicators. Attribute with custom promo codes and dedicated landing pages, then reallocate spend toward formats that show real behavior change.
Swap static banners for creator-led cycles: ideate, test with creators, measure, and iterate. Authentic beats glossy not because it's newer, but because it earns attention — and attention is the one ad asset that never ages.
Imagine every moment a shopper spends with your brand turning into a micro‑storefront: a video where a product tag opens checkout, a livestream where a viewer buys in one tap, an image that becomes a cart. The trick is to design for intent—map moments of curiosity to the simplest possible action and remove as many clicks as you can.
Creators and live hosts are the new shopkeepers. Equip them with real‑time overlays, limited offers, and clear CTAs so discovery instantly becomes purchase. Test formats: brief shoppable clips, hosted demos with clickable product cards, and creator bundles that link straight to a lightweight checkout. Use social proof—ratings, live viewer counts, and short testimonials—to nudge the undecided.
Behind the scenes, syncing catalogs and signals is nonnegotiable. Automate product feeds, keep inventory consistent, and fire standardized events for add‑to‑cart, view‑product and purchase so attribution stays sane. Focus on metrics that matter: conversion rate from content, cost per transaction, and incremental LTV. If tracking is messy, shoppable experiences will feel like magic only to the lucky few.
Make the experience deliciously fast: one‑tap checkout, saved payment methods, and frictionless returns. Add AR try‑ons or quick sizing helpers to reduce hesitation. For a practical toolkit that helps bridge creative and commerce, try an all-in-one smm panel to streamline promotional reach and catalog delivery across platforms.
Start small, iterate fast. Launch one shoppable clip, measure what converts, then scale the formats that move both revenue and brand love. Shoppable everything is not a trend, it is the playbook—so experiment boldly and let the data steer the rest.
Marketers used to celebrate the last click like it was the finish line — until we realized the race was a relay. Modern measurement treats every touch as a teammate, not a suspect. Mix Marketing Mix Modeling (MMM) to see the macro picture (including offline spend and seasonality) with rigorous incrementality tests to prove causality, and you get a measurement stack that actually tells you what to double down on.
Stop guessing and start designing: set up randomised holdouts for your campaigns, define clear conversion windows, and align incrementality results with MMM-derived channel elasticities. That means running smaller, frequent experiments to validate tactics, while using MMM to guide strategic budget shifts. In practice, that looks like shorter A/B windows for creative tweaks plus quarterly MMM reviews that reallocate budget away from vanity touchpoints toward channels that move the needle.
Here are three pragmatic levers to get you out of last-click purgatory:
The payoff is clarity: fewer arguments about “who gets credit” and more confident budget moves. Make measurement your competitive advantage by institutionalizing experiments, translating MMM signals into operational rules, and letting incrementality confirm the stuff you actually buy. Do that, and last-click will feel like an awkward relic you only mention at retro meetings.
Aleksandr Dolgopolov, 25 October 2025