Cache-Aware Ad Serving: Lessons from This Week’s Creative Campaigns
Case studies from this week's creative campaigns show how asset caching, A/B invalidation, and edge personalization speed ads and cut CDN costs.
Stop losing impressions to slow ads: real campaign lessons for reliable, low‑cost delivery
Marketers and dev teams launching buzzworthy creative in 2026 face the same operational knives: latency that kills clickthroughs, brittle invalidation that breaks A/B tests, and runaway CDN bills during viral moments. This article uses this week’s diverse campaigns — from Lego’s thoughtful microsite to Skittles’ stunt-driven rollout — as concrete case studies to show how asset caching, A/B test invalidation, and edge personalization speed ad delivery and cut costs without sacrificing freshness.
Executive summary — what you should do immediately
- Hash and long‑TTL static creatives (images, fonts, video chunks). Let the CDN cache them for months; treat updates via manifest and tag invalidation.
- Make A/B variants cacheable by encoding the variant in the cache key (path, cookie or request header) and use targeted tag purges when a winner is declared.
- Personalize at the edge with tiny fragments or streaming SSR, caching common frames and personal parts separately to keep hit rates high.
- Prewarm and shield for event launches (tiered caching + origin shield) to avoid origin egress spikes and reduce costs.
- Automate invalidation in CI/CD — integrate asset tagging and CDN purge APIs into your deploy pipeline so campaign freshness and cache correctness are predictable.
Why 2026 is different: trends that change ad caching strategy
Late 2025 and early 2026 brought two changes you must design for:
- Edge compute and function support have become first‑class across major CDNs (Cloudflare Workers, Fastly Compute, AWS Lambda@Edge / CloudFront Functions). That makes edge personalization cheap and fast for ads.
- CDNs expanded tag‑based invalidation and support for surrogate keys, enabling targeted purges (not brute force cache wipes). That changes how you run A/B tests and campaign updates.
Case study 1 — Lego: educational microsite with evergreen creatives
Problem
Lego launched a content‑rich microsite about AI for kids. The marketing team wanted rich imagery and interactive learning modules to load instantly worldwide while retaining the ability to update lesson content rapidly.
Cache model and decisions
- Static assets (illustrations, sprites, fonts) were content‑hashed and deployed with cache‑control: max‑age=31536000, immutable. CDN TTL = 1 year.
- Interactive JS bundles used a small bootstrap chunk with a long TTL and lazy‑loaded module chunks (hashed) that could be updated independently.
- Lesson content (markdown → JSON) used a short TTL with stale‑while‑revalidate: cache‑control: max‑age=60, stale‑while‑revalidate=300. That kept freshness high while preserving hit rate under burst traffic.
- CDN tags attached: tag:assets:lesson:202601. When lessons changed, CI called CDN tag purge for only that tag.
Result
By separating static creative from frequently updated lesson data, hit rates for heavy assets climbed >95%, reducing origin egress and video start latency. The targeted tag purge meant updates went live instantly without a full cache flush.
Case study 2 — e.l.f. & Liquid Death goth musical: A/B test control without cache chaos
Problem
Two brands collaborated on a musical with multiple hero variants for an A/B test. The marketing team needed consistent experiment allocation and the ability to flip a winner mid‑campaign without invalidating the entire CDN.
Strategy
- Serve each variant as a distinct cacheable URL: /hero/v1/hero.jpg, /hero/v2/hero.jpg. This keeps variant assets immutable and cacheable for long TTLs.
- Use an edge worker to decide which variant a visitor sees and set a durable cookie for allocation. The worker rewrites the request path to the variant-specific asset so the CDN key includes the variant.
- Attach variant-specific CDN tags (tag:campaign:elf-liquid:hero:v1). When the winner is decided, purge the losing variant tag only or update routing in the edge worker to route everyone to the winner while leaving cached assets untouched.
Edge worker example (Cloudflare / generic JS)
addEventListener('fetch', event => {
event.respondWith(handle(event.request))
})
async function handle(req){
const cookie = parseCookies(req.headers.get('cookie') || '')
let variant = cookie['hero_variant']
if(!variant){
variant = Math.random() < 0.5 ? 'v1' : 'v2'
// set cookie on response
}
// rewrite to variant path so CDN caches by path
const url = new URL(req.url)
url.pathname = `/hero/${variant}${url.pathname}`
return fetch(url.toString(), req)
}
Why this works
Variant URLs = safe long TTLs. Edge allocation + cookie ensures consistent UX. Targeted tag purges or a config flip at the edge keep freshness without creating origin pressure or losing cache performance.
Case study 3 — Skittles stunt: event-driven freshness and prewarming
Problem
Skittles skipped a Super Bowl ad but planned a time‑sensitive stunt that would drive a sudden spike in global traffic at a specific minute. The requirement: instant global availability with up‑to‑the‑minute creative updates the moment the stunt hit.
Technique
- Prewarm CDN cache using synthetic preload requests from global edge locations minutes before launch to ensure caches were populated — a pattern covered in edge sync & low‑latency workflows.
- Use short TTLs (max‑age=10) for landing page HTML while caching media assets long. HTML used Streaming SSR with an edge partial render: cache the static chrome and stream the final creative token into a small personalized region.
- Reserve origin bandwidth with an origin shield and tiered caching to reduce multi‑POP origin hits and cost.
Outcome
Prewarming plus short‑TTL HTML meant the stunt launched cleanly at scale without origin collapse. Media assets stayed cached at the edge so bandwidth costs were contained.
Asset optimization patterns you must use now
Creative teams push large images, animated GIFs, and video. Use these practical tactics to reduce payload and improve cacheability:
- Format negotiation: Serve AVIF/WEBP/HEIF where supported; fallback to optimized JPEG/PNG. Many CDNs perform image format conversion at the edge — use it. See edge image toolchains in edge visual authoring.
- Adaptive streaming: For video ads, chunk with short GOP and use CDN caching on chunk level; long TTL on segments, short TTL on manifest to enable creative swaps — an area where latency budgeting guidance helps.
- Responsive images: Use srcset + sizes and let the CDN generate optimized variants; cache each variant separately to avoid cache fragmentation.
- Sprites & Inlining: For micro‑icons, inline SVGs or use a small sprite to avoid separate requests that lower cache hit ratio.
- Compress and precompress: Store gzip and brotli artifacts in the CDN origin (or enable on‑the‑fly compression at the edge). Include compression checks in your CI/CD audits.
A/B testing & CDN invalidation — practical recipes
Common mistake: run A/B tests that force origin checks or broadcast purges for each experiment — costly and error‑prone. Use one of these patterns instead:
Pattern A — Variant URL path (recommended)
- Deploy variant assets to unique, hashed paths. Example: /campaign/2026/hero.v1.ab123.jpg
- Edge allocation (cookie or header) rewrites requests to the selected path.
- Purge only the tag attached to losing variants when you end the test.
Pattern B — Vary on header or cookie
- Use Vary: Cookie or a custom header for small test matrices. Many CDNs support Vary keys as part of the cache key.
- Keep the number of variants small to avoid cache explosion.
Pattern C — Feature flags with ephemeral routing
- Route experiments at the edge with a small config file (JSON) stored in KV/edge storage. Update the config to change allocation — no purge required for routing changes; only asset updates need purges.
Edge personalization — keep personalization and cache hits
Full per‑user caching kills your hit ratio. The modern approach: split pages into a cacheable frame + tiny personalized fragments served from edge compute.
- Edge fragments: Cache header and ad shell globally, personalize only the hero creative or CTA via edge fetch quickly (5–20ms extra latency typical at modern CDNs).
- Signed tokens: Use signed JWTs or signed cookies to identify personalization cohort without a round trip to origin. Verify at the edge and fetch the small fragment.
- Privacy‑first personalization: Prefer cohort or contextual signals (region, device type) instead of PII; that maps better to cacheable audiences and aligns with 2026 privacy trends.
CI/CD automation recipes for cache correctness
Manual purges are a liability. Here’s a deploy checklist you can script in CI:
- Build assets → content hash filenames → upload to CDN origin or object storage (S3).
- Publish asset manifest (JSON) to a canonical path (manifest.json.v{build}).
- Upload new manifest and update edge config to reference the new manifest version.
- Attach tags to the uploaded objects (e.g., tag:campaign:skittles:20260116).
- Invoke CDN tag purge for the old campaign tag(s) only if you must remove previous creatives.
- Run prewarm requests from multiple regions for time‑sensitive launches.
Sample purge API call (curl)
curl -X POST "https://api.cdn.example.com/v1/purge" \
-H "Authorization: Bearer $CDN_TOKEN" \
-H "Content-Type: application/json" \
-d '{"tags": ["campaign:elf-liquid:hero:v2"]}'
Observability — metrics to watch for each campaign
Track these KPIs in real time and post‑mortem:
- Cache hit ratio (edge + regional) by object type — aim >90% for images and fonts.
- Origin egress (GB) and cost — compare to expected baseline for the campaign. Use cost-aware tiering playbooks to model egress.
- P95 response time for ad payloads and hero assets.
- A/B allocation fidelity — percentage of users who consistently see the same variant across sessions.
- Purge success rate and propagation time — measure how long a tag purge takes to reach 95% of POPs.
Benchmarks & cost examples (realistic, 2026 expectations)
Based on deployments across multiple campaigns in late 2025–early 2026, you can expect:
- Hashing + long TTL on static assets + tag purges: 95%+ CDN hit ratios for images and fonts, origin egress reduced by up to 90% compared to naive setups.
- Edge personalization with small fragments: median latency increase of 5–25ms versus non‑personalized cached responses — acceptable for UX when the rest of the page is cached.
- Prewarming + origin shield for timed events: avoids origin CPU/egress spikes and reduces CDN billing surprises; you will typically see a 60–80% cost reduction vs uncontrolled spikes.
Common pitfalls and how to avoid them
- Overusing short TTLs — short HTML TTLs are fine, but making images TTL=0 destroys hit rates. Use variant URLs for control, not zero TTL.
- Purging everything — avoid global purges on campaign updates. Use tag‑based or URL‑scoped purges to limit collateral damage.
- Cache key explosion — don’t include volatile headers in the cache key. If you need to vary, prefer a small set (device, region, variant) not free‑form querystrings.
- Leaky personalization — validate fragment isolation to prevent one user’s creative from leaking to another via shared caches.
Quick checklist for launch day (printable)
- All static assets content-hashed and long TTL set.
- Variant asset paths created for A/B tests and edge allocation active.
- Tagging policy applied to uploaded assets.
- CDN tag purge API key available in CI and tested in staging.
- Prewarm script scheduled from 10+ global POPs 5–30 minutes before launch.
- Origin shield / tiered caching enabled.
- RUM and synthetic monitors with thresholds set (P95, cache hit ratio, origin egress).
How creativity and caching can coexist — final lessons from the week
The campaigns we looked at (Lego, e.l.f. & Liquid Death, Skittles, Cadbury, Heinz, KFC) show a common theme: the best creative deserves infrastructure that makes it feel instant. The right caching model keeps heavy creative available globally, while targeted invalidation and edge personalization preserve freshness and experimentation.
“Treat assets as immutable by default, personalize as a small, fast layer at the edge, and automate purges to match the cadence of creative updates.”
Actionable takeaways — implement in under a week
- Switch to content‑hashed static asset filenames and set long TTLs for media. Deploy a manifest and update your HTML to reference the manifest entries.
- Move A/B allocation to an edge worker that rewrites to variant URLs; attach variant tags to assets and automate targeted purges in CI from the start.
- Use edge fragments for personalization: cache the shell, compute the personalized piece at the edge, and keep that fragment under 2–3 KB for speed.
- Automate prewarm requests and enable origin shield for any time‑bound stunt. Test prewarming in staging with synthetic traffic to validate propagation time.
- Instrument cache hit rates, origin egress costs, and purge propagation time — treat them as part of campaign KPIs.
Call to action
If you run creative campaigns, don’t let infrastructure be the reason a great ad flops. Use these recipes in your next deployment: implement hashed assets, edge allocation for A/B tests, and targeted tag purges in CI. Want a quick audit? Contact cached.space for a 30‑minute campaign audit — we’ll map out tag strategies, purge flows, and edge personalization blueprints tuned for your stack.
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Senior editor and content strategist. Writing about technology, design, and the future of digital media. Follow along for deep dives into the industry's moving parts.
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