Marketing Software Resources

Articles and Discussions to expand your knowledge on Marketing Software

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts and discussions from users like you.

Contents

Marketing Software Articles

70+ Marketing Statistics to Shape Your Marketing Strategy in 2024

Things change over time, and that goes for how businesses approach marketing, too.

by Alexa Drake

2023 Trends: Making Your Marketing Win in Times of Loss

This post is part of G2's 2023 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Emily Malis Greathouse, director, market research, and additional coverage on trends identified by G2’s analysts.

by Victoria Blackwell

Marketing Software Discussions

Braze vs CleverTap vs MoEngage: which mobile marketing platform is actually better for a mid-size app with 500K monthly active users?

Hey G2 community! I'm researching the Braze vs CleverTap vs MoEngage question for mobile marketing, and which platform is actually better for a mid-size app with 500K monthly active users is one where the generic comparison articles aren't helping much. At this scale the tradeoffs are specific: enough sophistication for behavioral campaigns and lifecycle journeys, but manageable without a dedicated martech engineer keeping it running day-to-day.

Based on mid-size company reviews across all three:

Braze: Strong on multi-channel sophistication and canvas depth. Mid-market reviewers call out AI-native decisioning and the ability to run complex lifecycle programs without engineering. The MAU and data-point pricing model is the consistent friction point at this scale. How predictable does the monthly cost stay once you're running multiple active canvases?
CleverTap: Mid-sized app teams describe it as the strongest combination of built-in analytics and engagement at this tier. Automated journeys from onboarding to re-engagement, RFM segmentation, and predictive models are all cited as working well without heavy configuration. How steep is onboarding for a team without a dedicated data analyst?
MoEngage: Reviewers in this segment describe it as the platform most successful at reducing engineering dependency. Funnels, behavioral segments, and campaigns are all built visually and launched without developer support. Does the campaign builder feel as capable as CleverTap's for complex multi-step journeys?

Also worth looking at Iterable and Insider One if your use case is more cross-channel lifecycle than pure app engagement.

I'd really appreciate hearing from teams who've been through this evaluation at a similar MAU range: what made you choose one over the others, and what surprised you after go-live?

At 500K all three clear the feature bar: lifecycle journeys, behavioural segments, predictive models all work at that tier. So the real split isn't capability, it's what each one meters you on. Braze leans on MAUs plus data points, which means your bill tracks how much behavioural data you push per user: the more sophisticated your campaigns get, the more events you fire, the more you pay, so cost and sophistication climb together, an odd incentive against using the thing fully. Worth pinning down for the other two whether you're billed mainly on active users (more predictable, but you pay for dormant ones too) or on data volume as well, because at this scale that one answer swings the total more than any feature gap. For anyone who's been through it at a similar MAU: did the monthly cost stay predictable once you had several canvases running, or is that where the surprise landed?

Answered: Amita Jain on July 13, 2026

Your answer

What's the best mobile marketing platform for reaching users effectively without triggering notification fatigue or push opt-outs?

I've been looking at the best mobile marketing platform for reaching users effectively without triggering notification fatigue or push opt-outs, and the marketing copy on this is almost useless. Every platform says it has smart send controls. What actually works shows up in reviews once teams are running at volume.

From reviews where notification fatigue and opt-out prevention come up specifically:

Braze: Intelligent timing and per-channel frequency controls are cited as what prevents over-messaging, with AI decisioning choosing channel and timing per user rather than applying a single schedule to everyone.
CleverTap: A travel industry reviewer described executing millions of sends without overwhelming users, crediting trigger-based journey design and dynamic frequency adjustment based on live user behavior.
MoEngage: Behavioral segmentation means campaigns reach users based on actual actions rather than full-base broadcasts. Reviewers describe this as the change that shifted their engagement quality, not just volume.
OneSignal: Reviewers specifically describe using audience segmentation to send targeted recommendations rather than generic announcements, with re-engagement campaigns improving retention without broad push fatigue.

I'd really appreciate hearing from teams that have seen opt-out rates drop: what feature or workflow change made the actual difference?

Push is the one channel where the opt-out is close to permanent. It happens at the OS-permission level, and getting a user to re-enable notifications in their phone settings almost never happens. That asymmetry is the whole game: an over-sent email costs you a mute you can recover from, but an over-sent push can cost you the channel for that user for good, which is why frequency discipline matters far more on push than anywhere else in the stack.

Answered: Amita Jain on July 13, 2026

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Answered: Amita Jain on July 13, 2026

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Your answer

What's the best mobile marketing platform for sending messages users actually want to receive rather than ignore or opt out of?

The best mobile marketing platform for sending messages users actually want to receive rather than ignore or opt out of is something I've been trying to get a clearer read on from real practitioners. The difference between a platform that helps you send relevant messages and one that just makes it easy to send a lot of them is substantial, and it only shows up in the actual mechanics: behavioral triggers, individual-level personalisation, and frequency controls.

Based on user reviews, these platforms come up most for message relevance and engagement quality:

Braze (4.5 stars, 1,684 reviews): Known for AI-driven intelligent timing and channel selection that decides the right moment for each user individually. Reviewers describe this as what stops campaigns feeling like blanket blasts.
CleverTap (4.6 stars, 664 reviews): Behaviorally triggered journeys and real-time personalisation are consistent themes. Reviewers describe reaching users with timely, contextual messages at scale without overwhelming them.
MoEngage (4.5 stars, 524 reviews): Reviewers describe moving from broad sends to precise, behaviorally triggered outreach, reaching users based on real actions rather than static lists.
OneSignal (4.7 stars, 1,204 reviews): Comes up for teams that want strong targeting without enterprise complexity. Reviewers cite targeted push and in-app notifications driving measurable re-engagement without annoying the broader user base.

Which of these has helped you improve actual response rates rather than just send volume? Would love to hear what the turning point was.

No tool can make a message wanted. That part lives in the offer and the content, not the platform. You can see it in the fact that two teams on the same platform, with identical targeting and frequency caps, get completely different opt-out rates: one is sending "your order shipped" or "the thing you saved just dropped in price," the other is sending "we miss you, come back." So evaluating a platform on "messages users want" is slightly the wrong frame. What a tool can actually do for that outcome isn't create desire, it's give you a tight feedback loop to find which of your messages already have it: fast per-variant engagement data, clean holdout groups, and a read on whether a send drove a real action rather than just an open. That's the capability I'd shortlist on here. What was the turning point for you: a sharper offer, or a platform feature that let you see which messages were actually landing?