Moving to Iterable? Things to Consider.

Moving to a new marketing platform is a big undertaking. There are data sources to map, campaigns to rebuild, integrations to rethink, teams to train, and inevitably a few things lurking in your current platform that no one remembers building in the first place.

Migrating to Iterable adds another important consideration. You are not simply moving campaigns from Platform A to Platform B. You are moving into a platform designed around customer data, behavioral events, cross-channel journeys, and more real-time customer engagement. That can create significant new opportunities, but only if you take the time to rethink how your marketing operation should work in Iterable.

Whether you are coming from Oracle Eloqua, Oracle Responsys, Adobe Marketo Engage, Salesforce Marketing Cloud, Hubspot, or another platform, here are some of the key areas you should think about before the migration gets underway.

Start With What You Are Trying to Accomplish

Before inventorying every campaign, field, integration, and template in your existing platform, start with a more basic question: Why are you migrating?

Maybe you need to support more sophisticated cross-channel customer journeys. Perhaps your current platform has become too complicated to manage. You may want to activate behavioral data faster, improve personalization, reduce technical dependencies, or give marketers more control over campaign execution. In many cases, it is some combination of all of the above.

Document those goals early because they should guide the decisions you make throughout the migration. If your goal is to create more responsive customer experiences, for example, rebuilding every scheduled batch campaign exactly as it operates today probably is not the best use of your shiny new Iterable environment.

This is especially important when migrating from a platform your organization has used for many years. An Eloqua or Salesforce Marketing Cloud environment may contain a decade or more of accumulated programs, data extensions, custom objects, scripts, integrations, and workarounds. Some of those are mission-critical. Others exist because they solved a problem eight years ago that may no longer exist.

Your migration is your opportunity to tell the difference.

Clean Up Your Data Before You Pack It

Data is one of the most important parts of an Iterable implementation. It is also one of the easiest places to carry old problems into your new platform.

Before moving anything, create an inventory of the data supporting your current marketing programs. Identify where each data point originates, how frequently it changes, which campaigns use it, who owns it, and whether it still provides value. Look for duplicate fields, inconsistent naming conventions, outdated attributes, unused data, and values whose meaning has become unclear over time.

We recommend thinking about migration data across categories such as user data, event data, and general data. That distinction matters because the way your previous platform modeled information may not be the way you should model it in Iterable.

For an Eloqua migration, that might mean evaluating how Contact fields and Custom Data Objects should translate into Iterable user profiles, events, or other data structures. For Marketo, you may be working through person fields, custom objects, activities, and program data. A Salesforce Marketing Cloud migration can require untangling Data Extensions and deciding which information belongs on a customer profile versus an event or another source. Responsys customers may have Profile Lists, Profile Extension Tables, supplemental data, and behavioral data that need similar consideration.

Do not assume every table needs another table or every field needs another field. Iterable is case-sensitive, so establishing clear field and event naming conventions during this process is particularly important.

A good migration question is not, “How do we recreate our current data model in Iterable?”

Ask, “What data model will make Iterable work best for us?”

That small change in thinking can save a lot of cleanup later.

Think in Events, Not Just Attributes

One of the bigger changes for organizations moving to Iterable can be the increased importance of behavioral and event data.

Traditional marketing automation implementations often become heavily profile-driven. A customer has a status, product, segment, lifecycle stage, lead score, or another attribute, and campaigns use those fields to determine what happens next. That model still has value, but Iterable also gives you the opportunity to make customer behavior a much larger part of your orchestration strategy.

Instead of simply knowing that someone is a customer, you may want Iterable to understand that the customer viewed a product, abandoned a cart, downloaded content, purchased a ticket, started an application, renewed a subscription, watched a video, or completed another meaningful action.

That means your migration discovery should identify the events you need to capture, where those events originate, how quickly Iterable needs to receive them, and what marketing experiences they should trigger.

This can be an especially important shift for Eloqua and Marketo customers whose environments have traditionally focused on B2B lead and contact records. It can also be relevant for Salesforce Marketing Cloud customers who have historically relied heavily on scheduled SQL queries and Data Extensions to create campaign audiences.

Moving to Iterable gives you an opportunity to reconsider whether some of those experiences could instead respond directly to customer behavior.

Audit Your Campaigns, But Resist the Urge to Rebuild Everything

This is where migrations can get dangerous.

You inventory 250 campaigns in your existing platform. Someone creates a spreadsheet with 250 rows. Then everyone assumes the migration requires building 250 campaigns in Iterable.

It doesn’t.

Conduct a campaign audit before you determine migration scope. Document the campaign’s purpose, audience, trigger, channel, personalization, dependencies, volume, performance, and business owner. Then decide whether you should migrate it, consolidate it, redesign it, or retire it.

You may discover three campaigns doing essentially the same thing. You might find campaigns with very low engagement that no one wants to own. You may uncover programs built around limitations of the previous platform that simply are not necessary anymore.

This exercise is particularly valuable when moving from older or heavily customized environments. Eloqua Campaign Canvas programs, Marketo Smart Campaigns and Engagement Programs, Responsys Programs, and Salesforce Journey Builder journeys do not need to be replicated tile-for-tile inside Iterable.

Start with the business objective and work backward.

If the goal is onboarding a new customer, define what the ideal onboarding experience should look like in Iterable. Then determine the audience, events, decision points, messages, channels, and data required to make that experience happen.

That is a much better starting point than taking a screenshot of the old workflow and rebuilding it.

Rethink Your Journey Architecture

Iterable Journeys can become the center of your cross-channel orchestration strategy, so spend time designing how journeys should operate before building them.

Consider entry criteria, exit criteria, frequency controls, decision logic, delays, event triggers, channel selection, suppression requirements, and how customers may interact with multiple journeys at once. Think about what happens when a customer’s behavior changes halfway through an experience. Determine where real-time events should influence the next action instead of relying on predetermined campaign schedules.

This is another area where your previous platform matters.

A Salesforce Marketing Cloud team accustomed to Journey Builder may find some concepts familiar, but should still reconsider dependencies on Automation Studio, SQL activities, Data Extensions, and other supporting processes. Eloqua teams may need to think differently about how Campaign Canvas logic and segment evaluation translate into more event-oriented customer experiences. Marketo teams should review Smart Campaign triggers, batch campaigns, and engagement logic rather than automatically recreating those processes. Responsys teams should evaluate existing Program orchestration alongside the data and channel architecture supporting it.

The objective is not to make Iterable behave like your old platform. You selected a new platform for a reason. Give yourself permission to use it differently.

Map Your Entire Integration Ecosystem

Your marketing platform probably does not operate alone. CRM, data warehouses, websites, mobile applications, e-commerce platforms, analytics solutions, loyalty platforms, customer service applications, content systems, and other technologies may all exchange data with it.

Document every inbound and outbound integration before migration begins.

For each integration, determine what data moves, in which direction, how frequently, who owns the source system, what campaigns depend on it, and what happens if the integration fails. Then determine the best integration pattern for Iterable.

Depending on your architecture, that could involve APIs, webhooks, cloud data platforms, SDKs, batch processes, or existing technology partners. The important part is avoiding the assumption that the integration method used with your previous platform should automatically follow you to Iterable.

Salesforce Marketing Cloud customers, for example, may have processes tightly connected to Salesforce CRM or Data Cloud. Eloqua customers frequently have deep CRM integrations alongside custom cloud apps and external processes. Marketo environments may rely heavily on Adobe ecosystem integrations, Salesforce CRM synchronization, and custom LaunchPoint services. Responsys implementations can include extensive data feeds, Connect jobs, and integrations supporting large-scale B2C programs.

Inventory all of them. Then ask which integrations you still need and how you would build them today.

Plan Your Channel Transition Carefully

Your data and journeys can be perfect, but your migration still has a problem if your messages cannot reach anyone.

Build a channel migration plan covering every channel moving to Iterable, including email, SMS, mobile push, web push, and in-app messaging where applicable. Each channel has its own technical configuration, testing requirements, dependencies, and timeline.

Email deserves particular attention. You need to account for sending domains, DNS configuration, authentication, IP strategy, suppression data, subscription preferences, deliverability monitoring, and potentially IP warming. If you are changing sending infrastructure, do not wait until two weeks before launch to think about deliverability.

Mobile channels require coordination with development teams for SDK implementation and testing. SMS requires consideration of consent, sender configuration, regional requirements, and existing messaging programs. Push and in-app experiences require decisions around mobile architecture, events, and application release schedules.

These workstreams can run in parallel with the larger Iterable implementation, but they need owners, milestones, and testing plans of their own.

Do Not Forget Consent, Preferences, and Suppression Data

Subscription status is data too, and it may be some of the most important data you migrate.

Before moving platforms, document how your current environment manages consent, opt-outs, channel preferences, global suppressions, bounce information, and other communication restrictions. Determine which system is the source of truth and how those rules should operate once Iterable goes live.

This can become complicated when the old platform has years of historical preference logic embedded throughout the environment. Salesforce Marketing Cloud customers may have subscriber status combined with custom preference Data Extensions. Eloqua organizations may use global subscription status alongside email groups and custom preference centers. Marketo and Responsys implementations can have their own combinations of subscription fields, lists, channel permissions, and external preference systems.

Do not treat this as a simple export-and-import exercise. Map the business rules behind the data so that a customer who should not receive a particular communication does not suddenly become eligible because the new platform interprets the information differently.

Give Your Content and Personalization a Fresh Look

Campaign logic is only half of what you are migrating. There are also email templates, content blocks, personalization rules, dynamic content, landing experiences, snippets, and years of creative assets.

Once again, resist the urge to move everything.

Inventory your reusable content and identify what deserves to make the trip. Use the migration to establish a cleaner template architecture and consistent standards for personalization, naming, testing, and ownership.

This is also the time to evaluate how personalization should work in Iterable. Some logic may translate directly. Other personalization may benefit from the new data model you are creating. If you have spent years building complex workarounds because customer information was difficult to access in the previous platform, do not automatically rebuild the workaround.

Fix the underlying problem when you can.

Decide What Historical Data You Actually Need

One of the most common migration questions is, “How much history should we bring?”

The answer is rarely “everything.”

Historical data can support segmentation, personalization, reporting, suppression rules, and journey logic, but that does not mean ten years of every interaction needs to live inside your new customer engagement platform.

Start with your use cases. If a journey needs to know whether someone purchased within the past 12 months, make sure that information is available. If your marketers need three years of purchase history for segmentation, account for it. If seven years of email click data only exists because nobody has deleted it, moving it may add effort without creating much value.

Your data warehouse or another enterprise data platform may also remain the better long-term home for certain historical information.

The goal is to give Iterable the data needed to make good decisions, not to turn the migration into an archaeological project.

Establish a Testing and Cutover Strategy Early

Testing should not be something you squeeze into the final week of implementation.

Build your testing approach alongside the migration plan. Define how you will validate data, integrations, audiences, personalization, journeys, templates, channels, subscription rules, and reporting. Establish expected results so testers know what “correct” actually means.

For major campaigns and journeys, compare audience counts and outputs between your existing platform and Iterable. Investigate discrepancies instead of assuming they are harmless. Sometimes the new platform is wrong. Sometimes the old platform has been wrong for years and nobody noticed.

Your cutover strategy should also define whether or not platforms will operate in parallel, which campaigns migrate first, how long the old environment remains active, and what determines when you are ready to shut it down.

A phased migration often reduces risk. Instead of moving every channel and use case simultaneously, you can establish Iterable with a defined set of campaigns, validate your architecture and processes, and expand from there.

Train Your Team for Iterable, Not Just for Launch Day

A successful migration requires more than technical implementation. Your marketers need to understand how to work in the new environment.

Iterable provides educational resources through Iterable Academy, documentation, and its broader customer community. Start using those resources before your implementation is finished. Give team members time to learn the terminology, data structure, segmentation, campaign creation, Journeys, experimentation, personalization, and reporting capabilities they will use day to day.

More importantly, give them hands-on experience.

A marketer who has spent eight years in Eloqua, Responsys, Marketo, or Salesforce Marketing Cloud has developed habits around that platform. They know where everything lives, how to troubleshoot problems, and which workarounds get the job done. Iterable changes that operating model.

Training should therefore cover more than where to click. Help your team understand why you designed the new environment the way you did and how they should approach marketing differently going forward.

Define What Success Looks Like After Go-Live

Getting Iterable live is an important milestone. It should not be the definition of success.

Before the migration starts, establish measurable goals for what should improve afterward. Those goals could include reducing campaign build time, increasing the percentage of event-triggered communications, expanding cross-channel engagement, improving conversion rates, reducing reliance on technical teams, increasing experimentation, or shortening the time between customer behavior and marketing response.

Then measure them.

Your first 30, 60, and 90 days on Iterable should include optimization. Review journey performance, data quality, integration reliability, deliverability, user adoption, and operational processes. Identify what your team has learned now that they are working in the platform every day and make adjustments.

No implementation design survives first contact with real marketers completely unchanged, and that is okay.

A Migration Is Your Chance to Build Something Better

Moving from Eloqua, Responsys, Marketo, Salesforce Marketing Cloud, or another established marketing platform to Iterable can take some work. There are campaigns to inventory, data to model, integrations to architect, channels to configure, content to rebuild, and teams to prepare.

But there is also a big opportunity hiding inside all that work. You get to decide what comes with you.

Instead of carrying years of technical debt, unused fields, redundant campaigns, outdated templates, and “we’ve always done it this way” processes into Iterable, use the migration to simplify your marketing operation and rethink how you engage customers.

Clean the data. Question the old workflows. Design around customer behavior. Build the integrations you actually need. Train your marketers on the new operating model. Most importantly, keep the business outcomes that drove the migration at the center of the project.

At Relationship One, we’ve spent years helping organizations navigate both simple and complex marketing technology migrations across platforms including Oracle Eloqua, Oracle Responsys, Adobe Marketo Engage, Salesforce Marketing Cloud, Braze, and Iterable, just to name a few. We know that the technology is only one piece of the migration puzzle. The real work is connecting your strategy, data, architecture, people, and processes so your new platform can deliver on the reasons you selected it in the first place.

If Iterable is on your roadmap, our Marketing Geeks are ready to help you plan what comes next. Whether you need a current-state systems audit, help building a migration strategy and roadmap, or simply want to talk through the pros, cons, and potential gotchas of Iterable and other platform options, we can help you make the right decision and move forward with confidence.