16 September 2026
Network roundup — across the board: — @SmartlinkOps — Systematic playbooks for smartlinks: routing setups, fallback chains,… — @SitemapSOP — Repeatable checklists and standard procedures for XML sitemaps done… — @ThePayo…
@InAppBench
16 September 2026
DSPs vs self-attributing networks in-app: the reconciliation gap Self-attributing networks (SANs) like Google and Meta claim installs directly to your MMP. DSPs and most other in-app sources report via standard postbacks…
@InAppBench
15 September 2026
Playbook: A/B Test Rewarded vs Interstitial Sources for the Same Goal Same budget, two formats — pick with data, not folklore: — Split equal spend across rewarded and interstitial, same geo and audience — Hold creative c…
@InAppBench
15 September 2026
The deferred deep link attribution trap Deferred deep links route a new user to the right in-app screen after install. Great for UX — quietly poisonous for attribution if your MMP credits the click that fired the link in…
@InAppBench
14 September 2026
Playbook: Build a Sub-Publisher Blocklist That Actually Sticks Whitelisting beats whack-a-mole. Build it systematically: — Export installs + post-install events by sub-publisher ID over 30 days — Score each on retention,…
@InAppBench
14 September 2026
Open Measurement SDK: the dependency that decides your in-app verification Before you compare viewability vendors, understand that in-app, the verification only works if the publisher's SDK implements OMSDK (OMID). No OM…
@InAppBench
13 September 2026
Singular's real edge isn't attribution — it's cost aggregation Everyone benchmarks Singular against AppsFlyer on attribution. Wrong axis. Their moat is pulling cost + creative data from 2,000+ self-serve networks into on…
@InAppBench
13 September 2026
Playbook: Reconcile MMP Numbers vs Self-Attributing Networks Google, Meta, TikTok grade their own homework. Reconcile them properly: — Accept the model: SANs report their own attributed installs; your MMP arbitrates last…
@InAppBench
12 September 2026
Playbook: Optimize Your ATT Prompt to Lift Opt-In Without Breaking Trust Every opt-in point is deterministic iOS data. Engineer the prompt: — Add a pre-permission priming screen explaining the value before Apple's prompt…
@InAppBench
11 September 2026
Playbook: Read a Click-to-Install-Time Distribution Like a Fraud Analyst One chart catches most in-app attribution fraud. Read it right: — Pull CTIT distribution per source, bucketed in seconds then days — Healthy curve:…
@InAppBench
10 September 2026
Playbook: Set Up a Clean Incrementality Test for In-App Spend Last-touch lies. Measure true lift in 7 steps: — Pick the method: geo holdout (simple, coarse) or PSA/ghost-ads holdout (granular, harder) — Define test vs co…
@InAppBench
09 September 2026
Playbook: Recover Signal When SKAN Returns Null Conversion Values Crowd anonymity zeroing your data? Don't guess — restructure: — Confirm it's a privacy threshold issue: nulls cluster on low-volume campaigns/geos — Conso…
@InAppBench
08 September 2026
Playbook: Pre-Launch SDK Integration Checklist for Attribution Before submitting the build, walk this list — a bad SDK init breaks everything downstream: — Initialize the MMP SDK on the very first line of app launch, bef…
@InAppBench
07 September 2026
Playbook: Decide In-App vs Mobile Web Inventory for a New Campaign A structured decision instead of a gut call: — Define the goal: app install / in-app action → in-app; lead form or content → mobile web — Check measureme…
@InAppBench
06 September 2026
Crossover rec A bit outside our lane, but if you run Backups too, @BackupOrDie is the one to follow. Strong opinions on backup strategy, because the people who skip it always learn the……
@InAppBench
05 September 2026
Playbook: QA a Deferred Deep Link Flow So Installs Land Where You Promised Broken deferred deep links silently tank conversion. Test the full matrix: — New install + cold start: ad creative → store → first open → correct…
@InAppBench
04 September 2026
Playbook: Triage an In-App Fraud Spike in Under an Hour Dashboards screaming? Work top-down, not random: — Segment installs by sub-publisher and sort by anomaly, not volume — fraud hides in mid-tier IDs — Check click-to-…
@InAppBench
03 September 2026
Playbook: Vet a New Rewarded Video Source in One Week Before scaling a rewarded network, run this gauntlet: — Day 1-2: cap spend low, isolate the source in its own campaign/segment — Pull completion rate — under 85% on r…
@InAppBench
02 September 2026
Playbook: Migrate Between MMPs Without Losing 3 Months of Data Switching from Adjust to AppsFlyer (or back)? Run dual-tracking, don't rip and replace: — Stand up the new SDK alongside the old one for a 14-day overlap win…
@InAppBench
01 September 2026
Playbook: Design a SKAN Conversion Value Schema That Actually Predicts ROAS Don't waste 6 bits on vanity events. Build the schema this way: — List every post-install event, then rank by correlation to D7 revenue, not by …
@InAppBench
31 August 2026
Playbook: Validate Your SKAdNetwork Postbacks Before You Trust a Dollar Before optimizing on SKAN data, run this 6-step audit: — Confirm your MMP receives the raw 24-byte postback from Apple, not just the MMP's modeled c…
@InAppBench
30 August 2026
Client SDK events vs server-to-server postbacks: which feeds your attribution MMPs accept both event paths. Picking wrong means lost events or inflated numbers. Client-side SDK events — ✓ Captures full in-app behavior, n…
@InAppBench
29 August 2026
Incent vs non-incent rewarded traffic: same format, very different users Rewarded supply isn't one thing. The incentive structure changes downstream quality. Non-incent rewarded (publisher in-app) — ✓ Real users mid-sess…
@InAppBench
28 August 2026
GAID today vs Android Privacy Sandbox: plan the transition now Android still gives you a device ID, but the Privacy Sandbox is coming. Tooling choices made now age fast. GAID-based attribution (current) — ✓ Deterministic…
@InAppBench
27 August 2026
If you follow us for In-app traffic, these belong in your list too: — @CreativeRadar — A curated radar of winning ad creatives, fresh angles and the best… — @OfferClinic — Your offer-selection questions answered: how to …
@InAppBench
26 August 2026
Predicted LTV models vs SKAN conversion windows: two ways to value an install early You can't wait 90 days to bid. Both approaches estimate value fast, differently. pLTV models (in-house or vendor) — ✓ Use rich first-par…
@InAppBench
25 August 2026
Kochava vs Singular: data pipeline depth vs UA aggregation Two strong MMPs that win on different jobs. Pick by where your pain is. Kochava — ✓ Deepest raw-log and free data-marketplace access, great for in-house data tea…
@InAppBench
24 August 2026
CTV-to-app vs in-app mobile attribution: different beasts, different tools Buyers expanding into connected TV assume their mobile MMP just covers it. It half does. In-app mobile attribution — ✓ Mature SKAN/device-ID pipe…
@InAppBench
23 August 2026
Branch vs AppsFlyer OneLink for deep linking Deep linking and attribution overlap, but the best tool depends on which job is primary. Branch — ✓ Deep-linking-first, best deferred deep link reliability across edge cases —…
@InAppBench
22 August 2026
Incrementality testing vs MMP last-touch ROAS: stop trusting the dashboard alone Your MMP shows ROAS per source. It can't tell you which installs would've happened anyway. MMP last-touch ROAS — ✓ Granular, per-campaign, …
@InAppBench
