Comparison

Sortment vs Pinpoint

Pinpoint was messaging infrastructure. Sortment is lifecycle strategy that executes itself.

No credit card · No migration · One revenue metric moved in 30 days

Sortment

Sortment is an AI-native lifecycle marketing platform that identifies growth opportunities your team didn't know to look for, then executes them with campaigns and journeys.

Choose Sortment when you're evaluating against a specific outcome, retention, activation, or conversion, and want to see results in 30 days.

Warehouse-native

AI-native

Outcome focused pilot

Warehouse-native

AI-native

Outcome focused pilot

Pinpoint

AWS-native multichannel messaging service built for engineering teams. Pinpoint handled email, SMS, push, and voice delivery, but it was infrastructure, not a lifecycle marketing platform.

Segmentation, content creation, journey design, and analytics all needed separate tooling or custom dev work on top of it. AWS also ends support on October 30, 2026.

Features

Sortment

Pinpoint

Platform Type

AI-native lifecycle marketing platform

AWS messaging infrastructure / API layer

Core strength

Upstream intelligence — strategy, data, content, and QA before the send

Transactional and promotional message delivery

AI scope

Agents for strategy, content creation, audience building, QA, and background monitoring

None native

Data access

Direct warehouse connection (Snowflake, BigQuery, Redshift) — no data copying

Data piped in via AWS SDK or S3 import

Audience building

Natural language → SQL → segment built & synced to your ESP automatically (during pilots)

Segment builder via AWS console or API

Content creation

AI content agent — brand-compliant, multi-language, liquid-personalization

Template editor; external tools (e.g. Unlayer) required for HTML

Pre-send QA

Automatic — links, UTMs, spam score, brand compliance

Manual

Campaign monitoring

Background agents surface anomalies and deliver automated reports

Basic delivery metrics only

Engineering dependency

Marketers work in natural language, self-serve

Required for setup, segments, and integrations

Reporting

Native campaign, journey, channel, funnel, cohort, and session analytics — no external BI needed

Non-native

Channels

Email, Push, SMS, WhatsApp, in-app, RCS, Webhooks

Email, SMS, push, voice, OTP

Pricing

Transparent, publicly listed — starts at $100/month (based on monthly communicated users)

Pay-per-message, no platform fee — email from $0.0001/message, push from $1 per million; costs scale with volume and vary by channel

Platform Status

Active and growing

End of support: October 30, 2026

“I feel like I'm able to, in 20% of my time, execute on what normally a team of three to five full-time lifecycle marketers would do — without needing engineering, data, or shared resources.”

Drew Price, VP, Growth Marketing, BryteBridge Group

“I feel like I'm able to, in 20% of my time, execute on what normally a team of three to five full-time lifecycle marketers would do — without needing engineering, data, or shared resources.”

Drew Price, VP, Growth Marketing, BryteBridge Group

What Pinpoint never gave you, and what's gone after October 30

Amazon Pinpoint was a messaging API. Marketers who used it stitched together their own stack: a separate tool for HTML templates, another for journeys, something else for cohort analytics. Engineering was in the loop for anything beyond the simplest segments.

That's all going away on October 30, 2026. Console access, campaign management, journey builder, analytics, all of it ends. The SMS, voice, and push APIs are migrating to AWS End User Messaging, but the marketing layer your team actually used won't come with them.

The question is whether you rebuild the same patchwork with a different tool, or switch to something where strategy, content, and execution are already in one place.

Template Tool (External)

Analytics Tool

Pinpoint in the middle.
Everything else, your problem.

Create an audience of paid subscribers who might churn early.

Thought for 9s

To find paid users showing early drop-off risk, I’ll look at the below:

  • Payment timing,

  • Subscription start date,

  • Recent sessions, and

  • Content engagement

Building audience logic...

|

From engineering dependency to self-serve with AI

Building a segment in Pinpoint meant knowing your AWS data model, writing import logic, and in most cases looping in an engineer. Changing a segment meant starting over.

Sortment connects directly to your data warehouse, Snowflake, BigQuery, or Redshift, without copying data or routing it through middleware. Marketers describe what they want in plain language. The platform turns that into a query, builds the audience, and keeps it current. No ticket required.

One nonprofit team we work with came from exactly this setup. They were building HTML templates in a third-party design tool, uploading them to Pinpoint manually, and waiting on engineers for every audience change, with no dedicated data team on staff.

Moving to Sortment meant going from campaign idea to campaign live inside a single platform.

What Pinpoint analytics couldn't tell you

Pinpoint tracked delivery: sent, delivered, opened, clicked. That's where it stopped. It couldn't tell you why a cohort stopped converting, which lifecycle stage was leaking users, or whether a campaign was actually driving retention.

Sortment's analytics layer reads directly from your warehouse. Funnel analysis, cohort tracking, journey performance, and revenue attribution are all built in.

The platform runs background analysis on a schedule and flags shifts before they show up in a review. Say activation rates start dropping in a segment that looked fine last week.

Sortment surfaces it and recommends what to run next. That's a different category of tool than what Pinpoint was.

Opportunity found

Trial-to-Paid drop-off

860 users

Urgent

High repeat intent in next 7 days.

Users complete onboarding, then drop before reaching the paid moment.

Metric
Last week
This week

Onboarding completed

69%

72%

Trial-to-Paid conversion

39%

28% ↓

Recommended motion: target this segment with upgrade education and social proof within 24 hours.

Prepare the audience and first draft.

Let me prepare these.

Working on it…

Today

30-day POC with Sortment

Oct 30, 2026

Migration before the deadline

With October 30 set, migration timelines are short. The risk of committing to a platform before you've tested it against your own data is real.

Sortment's entry model is a 30-day proof of concept tied to one outcome you pick: retention, activation, or conversion. You run it on live data. If the metric moves, you have the evidence to commit. If it doesn't, you haven't signed a 12-month contract to find out.

Most Pinpoint migrations to Sortment go one of two ways. Some teams connect Sortment for strategy and audience work while keeping delivery on their existing ESP, which means no disruption to live campaigns during the transition.

Others do a full replacement: Sortment handles email, push, SMS, WhatsApp, in-app, and RCS natively, so there's one platform and one contract when it's done.

Choosing the right platform

When to choose Sortment vs Pinpoint

Sortment helps you find and launch growth opportunities. Pinpoint helps you send messages to customers.

Choose Sortment if:

You're moving off Pinpoint before October 30 and need strategy, content, and execution in one place

Your lifecycle marketer is blocked on engineering for audience changes or campaign setup

You need a template builder that's part of the platform, not a workaround involving a separate design tool

You want cohort, funnel, and journey analytics without standing up a separate BI stack

You want AI that surfaces what campaigns to run, not just delivers the ones already in the queue

Choose Pinpoint if:

Your primary need is transactional: OTPs, delivery alerts, system notifications.

You have an engineering team managing your messaging layer

You don't need campaign automation or content creation, the API migration path may be enough

What one marketer built in a year

BryteBridge scaled a new brand from 2 states to 20 with one lifecycle marketer, no data engineering team, and Sortment.

10x

Revenue, year-over-year

2,000+

Campaigns shipped in 12 months

1

Marketer. No engineers.

Start where you are. Go as far as you want.

How teams use Sortment

Pilot Sortment with Customer.io, Braze, or any other ESP without migrating, or use it to replace your CEP entirely.

Pilot with your existing stack

Full CEP replacement

Keep your CEP, add Sortment where it helps.

Your warehouse. Your ESP. Sortment sits in between.

Sortment connects to your warehouse and works with your existing ESP, so you can build real-time audiences, AI-created traits, and segments without data team support.

Replace scattered tools with one AI-native CEP.

One platform. Every channel. No handoffs.

Sortment replaces your CEP entirely. Journeys, campaigns, segments, content, analytics, and AI agents all run in one platform.

No more coordinating across Asana, Jira, or Slack. No shared resources, no data team tickets, no waiting. Everything your lifecycle team needs to execute, in one place.

Email

WhatsApp

SMS

In-app

Push

Webhooks

The October 30 deadline is fixed. The migration decision isn't.

The October 30 deadline is fixed. The migration decision isn't.

Book a 30-minute call to see how Sortment maps to your current Pinpoint setup. Bring your configuration and we'll be specific about what transfers and what changes.

Book a 30-minute call to see how Sortment maps to your current Pinpoint setup. Bring your configuration and we'll be specific about what transfers and what changes.

QUESTIONS?

FAQs

Does Sortment replace Iterable or work alongside it?

We don't have a data team. Can we still use Sortment?

What about engineering — do we still need them?

How fast can we get started?

We're mid-contract with Iterable. Can we still evaluate Sortment?

Secure & Compliant

Enterprise-grade security for world-class campaigns

Features

Core strength

Upstream intelligence — strategy, data, analytics, and content before the send

Omnichannel engagement with native lifecycle analytics and expanding AI-driven optimization

AI scope

Agents for strategy, audience building, content creation, QA, and background monitoring

Merlin AI for copy and creative; optimization AI for send time, channel, and path; Campaign Decisioning Agents (early access)

Platform type

AI-native lifecycle marketing platform

B2C customer engagement platform

Audience building

Natural language → SQL → segment built and synced automatically

Warehouse Segments, behavioral, RFM, predictive, and affinity segments — custom events and attributes require SDK or API instrumentation

Data access

Direct warehouse connection (Snowflake, BigQuery, Redshift) — queries source of truth in real time

Warehouse Segments supported (no copy required for activation) — warehouse analytics still "upcoming" per MoEngage's own roadmap

Content Creation

AI content agent — brand-compliant, multi-language, liquid-ready

Merlin AI Copywriter and Designer — strongest for push and banner contexts

Pre-send QA

Automatic — links, UTMs, spam score, brand compliance

Approval workflows and buildable QC agents — no turnkey automated pre-send QA

Reporting

Native campaign, journey, channel, funnel, cohort, and session analytics — no external BI needed

Native funnels, cohorts, retention, RFM, and path analysis — Open Analytics queries MoEngage's warehouse, not yours

Engineering dependency

Marketers work in natural language, self-serve

Reduces day-to-day dependency once instrumented — new events and attributes still require SDK or API work

Channels

Email, push, SMS, WhatsApp, in-app, RCS

Email, push, SMS/MMS/RCS, WhatsApp, in-app, web push, cards, web personalization

Pricing

Transparent, publicly listed — starts at $100/month (based on monthly communicated users

Growth plan: ~$750/month for 25k MTUs (AWS Marketplace) — full cost driven by MAUs, add-ons, analytics, predictions, and channel usage

Campaign monitoring

Background agents surface anomalies and deliver automated reports

System Alerts and Campaign Insights Agent (analytics-page initiated) — not always-on autonomous monitoring

Features

Sortment

MoEngage

Platform Type

AI-native lifecycle marketing platform

B2C customer engagement platform

Core strength

Upstream intelligence — strategy, data, content, and QA before the send

Omnichannel engagement with native lifecycle analytics and expanding AI-driven optimization

AI scope

Agents for strategy, content creation, audience building, QA, and background monitoring

Merlin AI for copy and creative; optimization AI for send time, channel, and path

Data access

Direct warehouse connection (Snowflake, BigQuery, Redshift) — no data copying

Warehouse Segments supported (no copy required for activation) — warehouse analytics still "upcoming" per MoEngage's own roadmap

Audience building

Natural language → SQL → segment built & synced to your ESP automatically (during pilots)

Warehouse Segments, behavioral, RFM, predictive, and affinity segments — custom events and attributes require SDK or API instrumentation

Content creation

AI content agent — brand-compliant, multi-language, liquid-personalization

Merlin AI Copywriter and Designer — strongest for push and banner contexts

Pre-send QA

Automatic — links, UTMs, spam score, brand compliance

Approval workflows and buildable QC agents — no turnkey automated pre-send QA

Campaign monitoring

Background agents surface anomalies and deliver automated reports

System Alerts and Campaign Insights Agent (analytics-page initiated) — no always-on autonomous monitoring

Engineering dependency

Marketers work in natural language, self-serve

Reduces day-to-day dependency once instrumented — new events and attributes still require SDK or API work

Reporting

Native campaign, journey, channel, funnel, cohort, and session analytics — no external BI needed

Native funnels, cohorts, retention, RFM, and path analysis — Open Analytics queries MoEngage's warehouse, not yours

Channels

Email, Push, SMS, WhatsApp, in-app, RCS, Webhooks

Email, push, SMS/MMS/RCS, WhatsApp, in-app, web push, cards, web personalization

Pricing

Transparent, publicly listed — starts at $100/month (based on monthly communicated users)

Growth plan: ~$750/month for 25k MTUs (AWS Marketplace), full cost driven by MAUs, add-ons, analytics, predictions, and channel usage

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sortment

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