CRM
36 post(s)
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App retention benchmarks 2026: the median D1/D7/D30 by category (and what it implies)
Unstar published 2026 median retention benchmarks across major app categories. It’s a useful reality check, and a reminder to compare retention definitions before you ‘fix churn’.
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Retention in 2026: build habit loops, not feature lists (17 engagement tactics, filtered)
StriveCloud’s long list of engagement tactics is salesy, but still useful as a checklist. The real value is the recurring pattern: shorten time-to-value, use behavior triggers over blasts, reduce permission friction, and treat deep links as conversion infrastructure.
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Retention Edge: automated push notifications are the highest-ROI messages because they run on autopilot
A credited summary of Retention Edge’s Apr 17, 2026 post on why push works best when it’s event-triggered (welcome, cart, back-in-stock, re-engagement), and why ‘setup once, earn forever’ is the real advantage.
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OneSignal: your notification tray is a brutally honest engagement dashboard
A credited summary of OneSignal’s Apr 17, 2026 piece on running a ‘notification center audit’, using a real device and a 48-hour backlog to spot noisy automation, channel duplication, and stale triggers that quietly train users to mute you.
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Pushwoosh: 12 push notification formats, and the trigger that makes each one work
A credited summary of Pushwoosh’s Apr 17, 2026 guide to push notifications, with a practical lifecycle map (onboarding, transactional, re-engagement, ratings, social) so teams stop defaulting to ‘promo blasts’.
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EFF: Push notifications can betray your privacy (and what to do about it)
EFF’s practical point is simple: notifications leak in two places, in transit (Apple/Google push infrastructure) and at rest (what your OS stores locally). Their advice is to reduce preview content, tighten per-app and OS-wide settings, and treat notification copy like sensitive data.
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App Store Marketing Weekly – Week 16 (2026)
This week’s theme: the ‘quiet layers’ are multiplying. OS-level attention filters are changing retention mechanics, and Apple’s developer workflow updates (App Store Connect + Hello Developer) are nudging teams toward faster, cleaner shipping.
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Mobile app retention is a systems problem: onboarding, prompts, habits, and support loops
Userpilot’s retention guide is a useful reminder that retention rarely hinges on one ‘clever’ push. The durable wins come from getting onboarding to value, behavior-based nudges, habit loops, feedback, and support right.
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Location SDK panic is usually a configuration story, not a magic data leak
OneSignal clarifies how location works in its mobile SDK: it is off by default, requires explicit developer enablement, and still depends on OS-level user permission. Useful framing for privacy reviews and stakeholder questions.
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Phiture: A practical mobile app marketing strategy for 2026 (with real examples)
Phiture argues the funnel is a loop: retention drives everything, ASO is a continuous cadence, and post-ATT paid growth is mostly a creative and measurement problem.
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OneSignal’s 2026 State of Customer Engagement: AI filtering, behavior triggers, and why the first 30 days still decide retention
A credited summary of OneSignal’s 2026 engagement report: OS-level AI filtering is becoming the new inbox, behavior-triggered messages outperform broadcasts, and Journeys win by sending fewer, better-timed messages.
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Push in 2026 is still the fastest way to lose trust, or win back users
OneSignal’s 2026 push best-practices guide focuses on the fundamentals that actually move retention: permission priming on iOS, careful timing and frequency, deep linking, and measuring downstream conversion, not just delivery.
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Xtremepush gamification benchmarks: why ‘real-time rewards’ beat drip campaigns for retention
Xtremepush shares 2026 benchmarks for retention, engagement, and tier progression (drawn from iGaming). The transferable insight: if rewards arrive a day late (batch sync), you are training churn. Tight loops, same-session reinforcement, and simple cohort deltas win.
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What is an app marketing agency (in 2026 terms), and what should it actually do?
A solid reminder that the best ‘app marketing’ isn’t installs-only. It’s a joined-up system across storefront discovery, onboarding, lifecycle CRM, creative testing, and analytics.
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App Store Marketing Weekly – Week 11 (2026)
This week: age assurance is spreading, promo-code workflows are changing, and retention UX is now getting reviewed like a store page.
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Braze adds a Messaging Diagnostics dashboard (and a few ‘ops’ upgrades that reduce campaign pain)
Braze’s March 5, 2026 release is mostly ‘plumbing’, but it’s the kind that saves teams from silent delivery failures: a new Messaging Diagnostics dashboard, better CSV import validation, and clearer multichannel rate limiting.
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AI retention is mostly ‘better timing + less spam’: a practical checklist for engagement teams
Braze lays out how AI can improve retention by predicting churn risk, personalizing onboarding, and optimizing send-time and frequency across channels. The useful takeaway: coordination and suppression rules matter as much as the model.
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App Store Marketing Weekly – Week 10 (2026)
This week’s highest-signal App Store + Google Play moves, plus what to do next (age assurance, ads, and release-risk).
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Choosing customer retention software for mobile apps: match the tool to your ‘retention DNA’
A credited summary of Pushwoosh’s 2026 guide to retention platforms: start with your churn pattern, then pick tools that support re-engagement, in-app activation, and analytics without buying an enterprise suite you won’t use.
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Move beyond ‘push-only’: why unified engagement platforms win on relevance
OneSignal argues that single-channel messaging creates blind spots (preference mismatch, incoherent experiences, data silos). Their core idea: unify profile data, orchestrate journeys across channels, and treat suppression and preference as first-class features.
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App Store Marketing Weekly – Week 09 (2026)
This week’s highest-signal App Store and Google Play moves, plus what to do next (ads, CPPs, policy, and measurement).
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Android push notifications: the practical setup checklist (FCM, channels, permission)
A clear, end-to-end guide to Android push notifications: Firebase Cloud Messaging basics, Android 13 permission, notification channels, and common delivery pitfalls.
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Top 5 things to look for in an app marketing agency (so you don’t buy a channel, and call it strategy)
A credited summary of ConsultMyApp’s checklist for picking an app marketing agency: start with the constraint, think full-funnel (not channel-first), use intent and psychology for store conversion, and treat retention plus martech as part of acquisition efficiency.
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OneSignal: three retention shifts for 2026 (reconstruct intent fast, let segments expire, and treat messaging like a system)
OneSignal argues that installs are no longer a proxy for intent in an AI-compressed discovery world. The retention edge is capturing ‘micro-intent’ early, building segments with decay and exit logic, and coordinating channels around timing.
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The Integrated Growth Manifesto: why the old playbook is dead
Phiture’s argument for integrated growth: break channel silos, use first-party data as the connective tissue, and use AI to increase experimentation velocity across the full funnel.
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App-led care only works if you treat retention like part of the service
A credited summary of ConsultMyApp’s 10-point framing for healthcare and pharma apps: lifecycle-state CRM, event-driven messaging, frequency safety, and data hygiene as the foundations for outcomes.
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A practical customer engagement strategy for 2026 (data, orchestration, AI, measurement)
A credited summary of Braze’s ‘customer engagement strategy’ guide, focusing on the four pillars (understanding, orchestration, AI personalization, and measurement) and what to operationalise in an app lifecycle program.
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Welcome series basics that still work in 2026 (and why ‘one email, one job’ is the real unlock)
A credited summary of Braze’s welcome email guide, with a practical lens for app onboarding, activation, and early retention.
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Choosing a push platform in 2026: treat delivery, consent, and experimentation as one system
SashiDo’s 2026 guide is essentially a retention-team buyer checklist: reliable delivery and token hygiene, deep segmentation, journey automation with caps, and experimentation/holdouts that let you prove impact without drowning users in notifications.
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Push notifications in 2026: how to avoid fatigue (and earn the right to interrupt)
Appbot’s 2026 push notification best practices: transactional vs promo, preference controls, tone, timing, and measuring fatigue.
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Push notifications in 2026: the boring best practices that stop users from muting you
A practical summary of Jotform’s push notification best practices: opt-in timing, frequency discipline, segmentation, and writing constraints that keep messages useful.
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Apple’s Retention Messaging API: a new ‘save’ moment for subscription cancellations
Apple’s Retention Messaging API lets you show a message, offer, or lower tier right inside iOS subscription settings when a user tries to cancel. Here’s what it is, how it works, and the practical guardrails.
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Reteno: push best practices for 2026 (fewer blasts, more earned moments)
A credited summary of Reteno’s 2026 push notification guide, with the practical bits: opt-in timing, segmentation, frequency caps, and copy that earns the tap.
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Customer.io: Lifecycle marketing trends for 2026 (RCS, consent, fewer higher-intent moments)
A credited summary of Customer.io’s 2026 lifecycle trends: richer mobile messaging (RCS), consent realities, and why orchestration + measurement matter more than channel volume.
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Reducing mobile app churn: stop guessing, watch leading engagement signals
A credited summary of Pushwoosh’s churn guide: what churn actually measures, which engagement metrics predict it early, and practical messaging/onboarding moves that reduce drop-off without spamming users.
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Seasonality is not just acquisition, it is a retention and CRM planning tool
Yodel Mobile’s guide to seasonal app marketing: use audience data, custom events, and lifecycle automation to re-engage users during predictable peaks, then measure beyond installs.