Why companies switch personalization engines

About a third of documented personalization-engine departures have no new standalone vendor identified: the company builds its own, switches on personalization in a platform it already licenses, or has no replacement in place yet. Leavers build their own more often than in the CRM, CMS and social tool moves we track. Capability, not price, is the complaint most often behind a move, and fewer moves are tied to a broader organizational or vendor event than in those categories. The pressures, the events, where companies go, and why most stay.

Based on verified interviews with the ecommerce, digital and marketing leaders who select and run personalization and recommendation engines, at DTC and enterprise brands. Buyers are anonymized before publication; vendor names and views are reported as given. No vendor paid to appear or could edit this page.

In these interviews a few dozen companies describe a completed personalization move or one already underway, and most of the companies running an engine describe none — an observation from interviews, not a measured switching rate. Two things set this category apart from the CRM, CMS and social tool moves we have tracked. About a third of departures have no new standalone personalization vendor identified at the time of the interview, and the largest of those routes is the company's own build, usually at a large retailer that tested it against the vendor first. And a move here more often starts with the tool itself: capability is the complaint cited most often, ahead of cost and the effort to run it. Salesforce's bundled personalization is left more often than any single product. The companion reads are what personalization buyers wish they'd known, where the ratings live, and top complaints about personalization engines.

A third
Of documented departures, the share with no new standalone vendor identified — an internal build, a capability already licensed, or no replacement in place yet.
Capability
The complaint most often behind a move, in about half the moves that name one. Cost comes second.
About half
Of moves with a stated reason, the share tied to a broader organizational or vendor event — consolidation, a vendor change, a replatform, a leadership decision. Fewer than in CRM, CMS or social tool moves.
Where companies leaving a personalization engine land Most companies leaving a personalization engine move to another vendor. About one in six move to their own build, and about one in ten each switch on a feature of a platform they already had or have no replacement in place yet — together about a third with no new standalone vendor identified. WHERE LEAVERS LAND Another vendor Their own build A feature they already had Nothing yet ABOUT A THIRD HAVE NO NEW VENDOR IDENTIFIED
Counted moves are completed changes and replacements buyers describe as already underway, from a named personalization or recommendation engine or an earlier build; first tools, plans, evaluations and changes within one vendor's products are excluded. Each company is counted once for each distinct move. A feature they already had means personalization in a commerce platform or suite the company already licensed. Destinations are those identified at the time of the interview; Nothing yet does not mean the company has abandoned personalization or will not buy another vendor. Bar lengths show relative frequency in these interviews, not churn rates or market share.

The pressure that builds: why companies switch personalization engines

The complaint buyers cite most often about the engine they leave is capability — in about half of the moves that name one — followed by cost and the effort it takes to run. A single move can carry several reasons, so the shares overlap. These are the pressures; the events follow.

Slow-burn · #1

It could not do the personalization the team wanted

The complaint cited most often in completed moves. A large specialty retailer moved off Adobe Target because “within Adobe Target, we were using a lot of third-party tools to try to do that personalization because we just weren't having enough offerings.” An apparel retailer took recommendations off Salesforce and onto Dynamic Yield: “The early data suggests we've seen some improvements versus Salesforce.” Another buyer had started “using Magento's Genie platform and just weren't impressed by what they had currently.” Sometimes the better option is the company's own: a large retailer says “we do see better performance with our in-house models than what we were seeing from this vendor.”

Named in this context: Adobe Target · Salesforce · Magento · Monetate · Dynamic Yield

Slow-burn · #2

The cost, set against what it delivered

Second to capability, and usually paired with it or with the effort of running the tool. One company that dropped its engine without a replacement found “It was hard to justify the cost and the time and effort it took to manage the system itself.” On the arriving side, a buyer sums up the choice: “So, the two things are cost and personalization.” The price-led moves themselves, and what the tiers cost, are on what buyers actually pay for personalization software.

Named in this context: Dynamic Yield · Salesforce

Slow-burn · #3

Too much work to run

An engine that needs more people than the team has. Of one testing-heavy tool, a buyer says “So it's self serve, any experiment, you're running it yourself, so it's time heavy.” Another company that left Dynamic Yield put it plainly: “this tool's just too expensive, it's too hard to use.” A third decommissioned its engine “so that we could invest in a new tool which is easier to use and requires less involvement from tech companies.” Dynamic Yield is both left and joined in these interviews: most of the companies leaving it are smaller and cite cost or effort, and most of those arriving are larger — a question of fit that the lessons page also draws.

Named in this context: Dynamic Yield · Qubit · Visually.io · Trbo · Yieldify

Slow-burn · #4

No proven lift, or no one using it

A few moves follow a test the engine lost or a tool that sat unused. A media company tested Salesforce's personalization in its campaigns and found “It didn't seem too enhanced in terms of personalization, and the results that we were getting didn't seem to be satisfactory.” Elsewhere, engines are simply retired: “these were some legacy platforms that were in there and just haven't fully gotten rid of.” Proving the lift is the hardest part of running these tools at all, which the lessons page covers.

Named in this context: Salesforce Interaction Studio · Optimizely

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The event that fires the decision

In about half of the moves with a stated reason, buyers describe a broader organizational or vendor development alongside the product considerations: a vendor changing its offering, consolidation onto an existing suite, a replatform or a leadership decision to build internally — about the same share as in marketing automation, and fewer than in CRM, CMS or social tool moves. These are triggers or surrounding circumstances, not necessarily events outside the company's control, and they can overlap with capability or cost complaints. Vendor changes and suite consolidation account for most of them: without those two, about a quarter of the moves with a stated reason involve the remaining developments.

Trigger · #1

The vendor changed under the buyer

About one departure in six follows the vendor being acquired, a product being retired, or a vendor leaving the category. One vendor left website personalization altogether, and a B2B technology company describes what happened to its contract: “They decided that the future of their business wasn't in the website personalization piece, so they have sunset that piece from their product completely and basically handed over that half of the contract to VWO.” A retailer on a product that had changed hands describes where it stood: “We can only use what we build, we were not able to build new stuff.” Some of these buyers were satisfied with what they had to leave.

Named in this context: VWO · Monetate · Adobe · Constructor

Trigger · #2

Onto a suite, or a licence already paid for

Consolidation onto a platform the company already uses. One retailer “partnered with Salesforce a few years ago in an effort to move things in-house: our CDP platform, our email trigger program, our onsite personalization program.” Another set out to “unlock all the opportunities we have already bought from Adobe, which is Journey Optimizer, which I mentioned earlier and the Adobe Target.” Most of Adobe's and Salesforce's arrivals in these interviews come this way rather than as competitive wins.

Named in this context: Salesforce · Adobe Target · Salesforce Einstein

Trigger · #3

A replatform carried it

A new commerce platform or CMS brings its own recommendations, and the standalone engine goes with the old site. One brand weighing its options said “It's still an open decision whether we are going to transition that to Shopify or bring a vendor on board to help us with product recommendations” — and a year later ran Shopify's own.

Named in this context: Shopify · Salesforce Commerce Cloud · Adobe Commerce · Optimizely

Trigger · #4

A leader who wanted to own it

A few builds started with one person's conviction. At a DTC apparel brand, “Our head of engineering felt strongly that we needed to have homegrown to have the flexibility to do lots of different expressions of product recommendations on the site.” At a large retailer, “There was a leadership decision, which I don't disagree, to replace an off-shelf recommendation engine with our own internal ML based” — a story told below.

Named in this context: Nosto · in-house builds

Where do companies switch to?

Most observed departures go to another personalization vendor, and arrivals are spread across many of them, with no single destination dominating. Roughly a third have no new standalone vendor identified at the time of the interview: about one in six involve an internal build, about one in ten existing platform capabilities, and about one in ten have no replacement in place yet — a group that may still select a vendor. Salesforce's bundled personalization — Einstein, Interaction Studio, Marketing Cloud Personalization — is left more often than any single product, usually for capability, and its arrivals are mostly consolidations onto a suite the company already runs; one company that consolidated onto it is now moving back to the engine it left. Several products that were acquired or retired by their owners appear only as origins. These are directional findings from the interview set, not measures of vendor growth or churn. The leading engines are compared on Dynamic Yield vs Monetate and Optimizely vs Dynamic Yield.

Do companies build their own?

More often than in the other categories we track. About one departure in six ends in the company's own build — RichRelevance, Salesforce's recommendations and Nosto among the products replaced — against far fewer in CRM, CMS or social tool moves. Most of the builders are large retailers, and several tested the build against the vendor before cutting over: “We've been piloting our own in-house for the last three or four years because obviously we didn't want to just switch over.” An online retailer that moved from Salesforce's recommendations to its own heard from customers who wrote in to praise the new recommendations. The number of builds is small, so this is a distinctive pattern in these interviews rather than a market-wide rate, and it is not the usual route: most leavers still buy another vendor.

How long does a switch take?

Buyers provide few complete timelines from decision to cutover, so these interviews do not establish a typical duration for switching personalization engines. The examples instead show how different the work can be. The apparel retailer above had Dynamic Yield's recommendations live for about six weeks when it reported early improvements, although that does not establish the full migration timeline. A large retailer piloted its own recommendation engine for three or four years before replacing the vendor. Another buyer, weighing a renewal, described a product “that's taken us almost a year to implement.” Some transitions run two engines on the same site for a while, and a commerce replatform can set the cutover date. The time required depends on implementation, testing and the architecture involved rather than on a standard switching period.

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The stories behind the switches

A large retailer replaced its recommendation vendor with its own engine — and shipped it after the build narrowly lost the test. “So we developed our internal recommendation engine to replace Certona.” The decision came from the top: “There was a leadership decision, which I don't disagree, to replace an off-shelf recommendation engine with our own internal ML based.” The company tested the two head to head: “So we ran AB tests and we failed.” It cut over anyway: “But it was close enough that we decided to transition anyway to get out of Certona contract and own our own future destiny by developing our own recommendation engine.” Director, product management · large retailer
A beauty retailer is moving its personalization onto the tool it already pays for, after an agency spotted the overlap. “So we're trying to pull back from Breinify, and then use, obviously, the Salesforce Einstein tool that we're already paying for.” The ecommerce leader is not yet sure the savings hold once the work comes in-house: “But I think, at least from my perspective, they didn't take into the resourcing.” For now, the jury is out: “So it'll be interesting to see how this plays out as we start to move traffic over and do it ourselves.” Senior director, ecommerce · beauty retailer
A media company ran its bundled personalization against a rival and dropped it on the result. “I think it's something we've tested with our email campaigns, but we've essentially abandoned it and moved towards Optimizely.” What it found in the bundled tool: “It didn't seem too enhanced in terms of personalization, and the results that we were getting didn't seem to be satisfactory.” And the deciding test: “And then we A/B tested that versus Optimizely and Optimizely performed better.” Head of digital · media company

The counter-current: why most stay

Most companies running a personalization engine in these interviews describe no move at all, and a large share of those who looked are still evaluating rather than gone. Some keep their engine after a head-to-head — one retailer renewed its recommendations because “Certona drove incremental revenue, Fast Simon didn't.” Long tenure holds others: “as a company as a whole, we've been using this tool for so many years,” says one long-time Adobe Target customer, and another team's rule is “if it's not broken, we really try not to touch it.” Some re-evaluate and stay for now: “I think it sounds like for now we're planning to stick with Interaction Studio, but that's a conversation that I feel like is continually being reevaluated by leadership.” And some leave tools they like — for a consolidation, as one buyer moving off Adobe Target put it, “even though we are very satisfied with Adobe Target.”

What this means if you're weighing a switch

Buyers report that capability is the complaint most often behind a move, that about a third of documented departures have no new standalone vendor identified, and that the builds come mostly from large retailers that tested them first. Our recommendations, not practices buyers describe: before replacing an engine, list the personalization you actually run, since an engine that is under-used or a feature of a platform you already license may cover it; if you are considering a build, test it against the vendor on your own traffic and decide in advance what result you will accept, since one buyer here shipped a build that lost; if a consolidation onto a suite is driving the move, price in the people who will run it, which is the cost one buyer worried had been left out; and if your vendor has been acquired or is changing its product, start evaluating before the contract forces the date.

Common questions

Why do companies switch personalization engines?

In these interviews the complaint most often behind a move is capability — the engine could not do the personalization the team wanted — followed by cost and the effort it takes to run. In about half of the moves with a stated reason, buyers also describe a broader organizational or vendor development — most often the vendor being acquired or leaving the category, or a consolidation onto a suite the company already uses. These are triggers, not necessarily events outside the company's control, and the share is smaller than in the CRM, CMS and social tool moves we track.

Where do companies go when they leave a personalization engine?

Most move to another vendor, and arrivals are spread across many of them. About a third have no new standalone vendor identified at the time of the interview: they build their own, switch on a feature of a platform they already have, or have no replacement in place yet — and that last group may still choose one. These are observed decisions in the interview set, not churn rates or market share.

Do companies build their own personalization or recommendation engine?

Some do: about one departure in six in these interviews ends in the company's own build, more often than in CRM, CMS or social tools. Most of the builders are large retailers, and several ran their build against the vendor before switching.

Is the personalization bundled in Salesforce or Adobe enough?

Salesforce's bundled personalization tools are left more often than any single product in these interviews, usually because they could not do what the team wanted, and the moves onto them are mostly consolidations. Adobe's arrivals are mostly companies putting a licence they already hold to use. Whether a bundled tool is enough depends on how much personalization the team actually runs.

How long does it take to switch personalization engines?

These interviews do not establish a typical switching time: few buyers give a complete timeline from decision to cutover. The examples vary widely — one retailer had a new vendor's recommendations live about six weeks before reporting early results, another piloted its own engine for three or four years, and one buyer described an implementation that took almost a year. Implementation, testing and the architecture involved drive the time.

What happens when a personalization vendor is acquired or leaves the market?

Several moves in these interviews began that way. Buyers moved to the acquirer's other product, to a partner the vendor pointed them to, to their own build, or off the tool entirely — and some were satisfied with the product they had to leave.

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Methodology. Alium conducts verified interviews with software buyers — the ecommerce, digital, marketing and product leaders who select and run these tools. This page aggregates what buyers in that corpus, through October 2026, say about adopting, replacing, dropping or keeping an onsite personalization or product-recommendation engine; moves are confirmed in the buyer's own words and counted once per company and move. A move counts when the company's personalization or recommendations change — to another vendor, to its own build, to a feature of a platform it already holds, or to nothing — including the bundled personalization in commerce and marketing suites. Pure site-search moves, pure A/B-testing moves, email-only personalization and upsell apps are excluded, as are changes within one vendor's products and moves a buyer describes at a previous employer. Pressures and triggers are editorial codings of what buyers said, and a move can carry several, so those shares overlap. The comparisons with CRM, CMS, social and marketing-automation tools use the same coding on those categories' moves. Ratings are on the personalization lessons page rather than here. Buyer identities are verified at interview time and anonymized before publication; vendor names are reported as given. No vendor paid to appear or was able to edit this page.