Every vendor page on the internet tells you what its alternatives are. None of them tells you what the people who actually left said on the way out — or that most of them stayed. Each page here takes one platform buyers rate in the bottom half, reports what they complain about, names the alternatives they move to and how those rate, and says plainly when staying is the better call.
The complaint, the destinations, and the case for staying — each with the head-to-head reads behind every alternative it names.
The complaint is almost never that it cannot do the job — it is that the team cannot make it. And every comparable enterprise alternative rates at or below the platform being left.
Few leave. Most who do go into the Microsoft estate, to HubSpot, or onto another suite a parent company chose.
Well liked at 7.7, and rarely left over dissatisfaction. Half the moves go to enterprise SEO platforms, and AI search comes up in five of the eight.
Half the buyers who leave it move because the organization changed — the CRM or a merger. The other half are the team’s own call, two of them staying inside Salesforce with Marketing Cloud.
Nine of nineteen moves went into Salesforce. Some movers sought broader enterprise capability; others found Marketo too complicated or too expensive.
Nine of 20 leavers joined an enterprise marketing cloud, several after an acquisition or a compliance rule — and about as many companies arrive from the same platforms.
Six of twelve leavers moved to Marketo, and five of the twelve moves followed broader organizational or stack decisions — while three companies consolidated other platforms onto Eloqua.
Two buyers who rate it 8 are migrating away anyway. What they describe leaving is the investment behind the product, not the product.
Five of nine departures name no replacement. The three that name one point at a platform whose own leavers are heading somewhere lighter.
Kept for one capability — reviews on retail partners’ pages — and exactly one other platform here is named for that job. The better-rated alternatives answer a different question.
Zendesk rates 7.1/10 — but not evenly. It rates nearly a point lower with buyers running a Shopify storefront, yet almost none of them name ecommerce fit as the problem.
Half its raters score it 8 or better, and the rest describe a ceiling rather than a broken product — yet it rates worse at small companies than at large ones.
Brands in the middle of the market rate it lowest and describe having outgrown it; Attentive is the most common destination, and the move is often sideways.
Well rated and rarely left over a failure. Five of eleven leavers went to Braze, among them for channel and compliance needs; four to Klaviyo, mostly alongside a Shopify move.
Rates nearly a point lower with Shopify merchants than with everyone else — and the few buyers who leave for another vendor mostly come from Shopify storefronts, none of them to the most-rated alternative.
The most-rated CDP, and a split verdict. Leavers take the job several ways — most often into a platform they already pay for, or toward the data warehouse.
Liked and priced out — the buyers naming its cost are disproportionately the ones rating it well, while cost is named in almost every exit.
The most common outcome isn’t another tool — seven of seventeen leavers name no replacement. The rest mostly pick a free one rated the same.
Its leavers mostly move to a lower-rated tool. The complaint that divides happy buyers from unhappy ones isn’t price — it’s complexity.
Twice as many companies move onto it as off it, three explicitly consolidating several tools onto it — while the six departures that name a destination name six different tools.
None of its six leavers moved directly to another packaged attribution vendor — two went to marketing mix modeling, two to agency-built attribution, and two have no replacement.
Its most common destination rates exactly the same, 7.4 against 7.4. The exits run on cost and estate consolidation, not on the product.
Nineteen companies moved onto it, thirteen from Tableau, against eight moving off — and half of those went to Google’s Looker or Looker Studio, not Tableau.
Eighteen companies moved off it, eight of them to Sigma, Omni or Metabase against four to Tableau or Power BI — while thirteen arrived, six from Tableau.
Its peers rate no better — commercetools 6.4, Adobe Commerce 6.2. The only higher-rated destination arrived from the other end of the market.
Fourteen of sixteen departures that state where they went name Shopify. What divides happy buyers from unhappy ones isn’t development burden — it’s cost.
A well-liked tool buyers still leave — mostly for Inbox Monster, a deliverability platform that now renders email too, and mostly over price.
Departures cluster two main ways — up to an enterprise suite for security and consolidation, or out to a design-first or developer-built site for flexibility.
Lowest of the eight CMS platforms in our ratings. Four of six departures went headless, two to Adobe — and Sitecore’s own upgrade is a substantial migration too.
Cost comes up in six of seven exits, into Shopify or another CMS — while every buyer arriving from a heavier platform is a larger company.
Half of the leavers moved to another CMS, four to Contentful — while slightly more companies arrive, from Sitecore, WordPress and legacy platforms.
About a third of departures went to another testing vendor. The rest built testing into what they already run, took it in-house, or stopped — several times as often as other vendors’ leavers.
Its most common destination is not a vendor — more departing buyers went back to posting natively than moved to a competing tool.
Four of nine leavers moved to another social platform and three moved a single job to a narrower tool — while all ten observed arrivals are companies above $5 billion.
An alternatives page is a hub: it names several destinations and links the comparison behind each one. If you already know the two platforms you are weighing, go straight to the pair.
Sixty-five “X vs. Y” reads built from the same interviews — what buyers praise and complain about on each side, where each one wins, and what the decision usually turns on. Indexed by category and by vendor.
Browse the comparisons →They report where buyers went, not whether going worked. The corpus is strong on what people say about the platform they have and which alternatives they name; it does not follow a buyer through a migration and measure whether satisfaction improved afterwards. So where a page shows that the destinations rate higher than the incumbent, that is a fact about ratings across all buyers of those platforms — not evidence that switching caused the difference. Both things are worth knowing, and they are not the same thing.
They also take the case for staying seriously. Across the pages published so far, most dissatisfied buyers do not leave, and the reasons they give are worth more than the complaint list: a data relationship that no alternative reproduces, an obligation that belongs partly to someone outside the company, a contract better than the one on offer now. A page that only argued for switching would be leaving out the part buyers spend the most time on.
By what buyers in the interviews actually name, not by category taxonomy or market share. Each page lists the platforms that come up among buyers who rate the incumbent in the bottom half, sorted by what kind of product each one is rather than by how often it is mentioned — the corpus supports the first precisely and the second only directionally. Where a head-to-head comparison exists for a destination, the page links it, so the shortlist and the detail behind it stay one click apart.
No, and several of them argue the other way. The format reports observed behaviour — what buyers complain about, which alternatives they name, how those alternatives rate across the corpus — and every page carries a section on when staying makes sense, because on the evidence most dissatisfied buyers stay. Where a page shows that lighter platforms rate higher than a heavy one, that is a statement about buyer satisfaction across each platform's whole user base, not a measured outcome of anyone's migration.
Yes. Every figure is a buyer-satisfaction average across all verified interviews that rate that product, on the same 1–10 scale, re-verified against source data when a page is built or edited. A platform carries the same number wherever it appears, and the build fails if two pages disagree. What the ratings are not is a score we assign: they are what buyers gave, aggregated, with a minimum sample before any number is published at all.
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