Gainsight vs Planhat

What each vendor actually publishes about price

Gainsight's pricing page lists two Customer Success packages and gives each a Request Pricing link. What it does give you in numbers are capacity limits: Essentials includes 10 full users and 100 customers per user, and Enterprise includes 20 full users and 200 customers per user, with unlimited viewer licenses on both and a note that viewer licenses are not inclusive of all features. Every feature row is a Yes or blank across the two packages, which makes the differences easy to see: company news, renewal and expansion forecasting, and organizational mapping with sponsor tracking appear on Enterprise only.

Planhat's pricing page works differently. It opens with a grid headed Included in all plans, covering data, workflow, AI and automation, reporting and application features, then lists four add-ons (Upgraded AI Platform, Advanced Service, Email Marketing, Advanced Portals) and a Services block with managed and professional services. Each block ends in an Enquire button. Planhat's FAQ headings ask how pricing works, which user types exist and whether View Users are unlimited, but the answers do not appear in the page text we could read.

• Questions to send both vendors: how many customer accounts and how many people who log in daily; whether you need a Salesforce or HubSpot sync; which data warehouse or product analytics tool holds usage; whether you need customer-facing portals or surveys in year one.
• Ask for the multi-year price and the renewal uplift in writing, and ask what changes if your account count doubles.
• Ask for onboarding services as a separate line so you can compare a vendor-led rollout with an in-house one.

How each tool models accounts, people and custom data

Gainsight's Gainsight Objects documentation says every org is provisioned with three standard objects stored in its Matrix Data Architecture: Company, Relationship and User. The Relationship object exists to manage each connection point with a customer, which matters when one customer buys two products, has separate contracts per business unit, or runs different implementation projects. People live in a separate model made of Person, Company Person and Relationship Person, so the same human can have a different title at the company and a different role on a specific relationship. Admins add custom objects for anything else, subject to limits: a low volume custom object tops out at 1 million records and 100 fields, an org gets 100 of them, and the documentation warns against using low volume objects for usage data.

Planhat's glossary describes the Company model as the businesses that are customers or prospects, with nearly every other model linking back to it, and it supports parent and child group structures. End User is the model for individual customers, and it is separate from User, which means your own colleagues. Its data model introduction says some models are opinionated and built for one purpose while others work like a Swiss Army Knife that teams rename and adapt. The API documentation lists model endpoints such as Asset, Company, Conversation, Enduser, Invoice, License, Opportunity, Project and Ticket.

• If one customer legally equals one account and one contract, either model works, and the choice comes down to everything else on this page.
• If a customer buys several products with different owners, Gainsight's Relationship object is a built-in answer; in Planhat you would reach for parent and child companies or a model you adapt to the purpose.
• If your people data is messy (contractors, champions who change employers), Gainsight's three-object person model gives you more places to put role information, at the price of more objects to maintain.

Health scoring: weighted scorecards or point-based profiles

A Gainsight scorecard is a set of measures, optionally grouped. Per the measure weights documentation, you give each measure a percentage contribution inside its group and each group or ungrouped measure a percentage contribution to the overall score, and neither level can exceed 100%. If a measure goes NA, its weight is redistributed in proportion among what is left, which is sensible but means a missing data feed silently changes how everything else counts. The scorecard FAQ adds operating details: multiple scorecards are supported, measures are shared across scorecard configurations with their own weights, snapshots run by default at 11:30 PM UTC and a custom schedule has to be arranged through Gainsight Support, and automated measures are written through the Set Score action in the Rules Engine because there is no direct scorecard API for writing scores.

Planhat's health calculation article describes a different shape. Scores run from 0 to 10, start at 5 as neutral, and each factor in a profile adds or subtracts points; anything outside the range rounds to 0 or 10. The article suggests two to eight factors is plenty. Different profiles can apply to different segments, and a parent company's score is the mean of the group. Planhat's health page adds that scoring is rule-based by design with AI contributing as one input, and that you can preview a scoring change before it takes effect. That preview matters because the help center warns that editing a profile can move scores and trigger notifications and automations.

• Gainsight rewards teams who want explicit, auditable percentages and several scorecards for different customer types; the cost is more setup per scorecard and a nightly snapshot you do not control.
• Planhat rewards teams who want a handful of strong signals that anyone can read, plus Calculated Metrics to build those signals from raw usage; the cost is that finer weighting has to be expressed through the points you assign each factor.
• Planhat also offers Success Units, a red, amber and green indicator for one product, feature or module per company, which fits multi-product usage better than one blended score.

Automation and workflow: Rules Engine versus Automations and Workflows

Gainsight's Rules Engine overview says admins build business rules to trigger CTAs, update scorecard measures and load data into Gainsight objects. A rule starts from a source object and fields, filters the customers it should act on, sets up actions, is tested and then scheduled. The page states a cap of 50 actions per rule, says the Rule Results Excel sheet holds 100K records, and says the engine does not support a delete function. Rule chains let related rules run in order on a shared schedule. CTAs created by rules appear in the Cockpit; Journey Orchestrator is the hub for automated communications.

Planhat splits the work in two. Per its automation trigger documentation, an automation can start on any create, update or delete of a record, on a manual trigger, on a schedule, or on an incoming webhook, and an outbound webhook can then call any HTTP method, including Planhat's own API. Its guide to choosing between features says automations suit moving data between models, snapshotting values and sending a single task, email or chat message, while workflows suit many tasks or emails under different conditions that can end early once an outcome is reached. Workflows come as Projects (tables of tasks) and Sequences (series of emails).

• A rule like "usage down 30 days in a row, then a CTA with an owner and due date" is native in both, though each calls its parts something different.
• Planhat's incoming webhooks give your product a direct way to start an automation without a connector job in between; in Gainsight the usual path is a scheduled connector job or a Bulk API upload that fills objects a rule then reads.
• Gainsight's per-rule action cap and no-delete limit are things to design around; Planhat's documentation lists no comparable per-automation cap in the pages we read, so ask about limits during the demo.

Product usage data and integrations

Usage is where a CS platform stops being a CRM add-on. Gainsight's Adoption Explorer, per its overview, stores usage at company or person level in daily and weekly grain with entitlements, and the resulting objects can feed Customer 360, reporting, the Rules Engine, Cockpit, Journey Orchestrator and scorecards. The connector overview lists Salesforce, Microsoft Dynamics, HubSpot, Zoho CRM and Pipedrive for CRM; Zendesk, Freshdesk and Jira for support; Zuora for billing; Intercom for conversations; Google BigQuery; Mixpanel and Segment for usage; a Bulk API; and Gainsight PX. If your system has no connector, you can export comma or tab separated files to Amazon S3 and ingest them.

On the Salesforce side, the Salesforce connector maps Account to Company, Contact to Person and Company Person, and Cases to Cases, supports real-time sync for Account, Contact and Cases with one real-time job per object, and requires the Gainsight connected app package in your Salesforce org. The page says real-time bidirectional sync is not available.

Planhat's time series documentation defines four groups: default metrics, User Activities, Custom Metrics and Calculated Metrics. User Activities represent actions by an individual End User and tie to a company, asset or project; Custom Metrics do not need an End User and are stored daily; Calculated Metrics combine fields and other metrics with math operators. Its integrations page names Zendesk and Intercom, Pendo, Amplitude, Mixpanel and Segment, BigQuery and Snowflake, and Salesforce and HubSpot, and mentions Planhat's own tracking script. The API introduction describes open endpoints meant for server-side metrics, user activities and call logs, with API keys unlocking the full API.

• Planhat's admin getting-started guide says your first goal should be to get three of five data types into Planhat (customer, end-user, revenue, conversation and product usage).
• Gainsight's Salesforce connector is the more detailed CRM path, with a managed package and typed object mapping; teams on HubSpot get a connector whose out-of-the-box jobs cover Company, Contact and Owner.
• Billing is thin in both. Gainsight lists Zuora only; Planhat names no billing connector, so Stripe, Chargebee or Paddle data usually arrives through the warehouse, a file or the API.

Reporting and what customers see

Gainsight's Reports and Dashboards, called Horizon Analytics in its features overview, are the reporting tools that power its business intelligence layer; dashboards take report, Adoption Explorer, standard and scorecard widgets, and scorecard history is stored so reports can trend scores over time. Planhat's dashboard and presentation pages serve both internal portfolio views and customer-facing success plans, with date slicers that filter several widgets at once, and its Data Explorer lets you query datasets and time series without saving anything permanent.

For customer-facing views, Gainsight lists Spaces as a secure customer portal and sells Customer Communities as its own product with three tiers. Planhat shares dashboards through a Portal and sells Advanced Portals as an add-on. If your plan for year one includes a customer portal, put it in the quote for both rather than assuming it is in the base price.

Implementation effort and who runs the tool

Neither vendor's pricing page states an implementation timeline. Planhat's admin guide proposes an order: get data in and sync email and calendar, make the data usable with fields, filters and conversation types, customize the tenant, then ship quick wins of initial workflows, initial automations and a first dashboard. It calls workflows a bigger initiative that is very doable, and says manual entry can work well if you have fewer than 100 customers.

Gainsight's admin path is heavier by design. Its certification page sets three levels of admin exam at $70 for Associate, $125 for Specialist and $300 for Expert, so taking one person through every level costs 70 + 125 + 300 = $495 in exam fees, and recertification exams are $25, $25 and $50 on top, which is another $100 per cycle if the same person renews all three. The Associate level lists prerequisites in Admin Foundations, Data Management, Rules Engine and Reports and Dashboards, which is a fair map of what an admin owns, and the features overview adds Connectors 2.0, Data Designer and Journey Orchestrator to that list. Planhat's switch page asserts that Gainsight needs a full-time certified administrator and that Enterprise deployments run 5 to 9 months; since that is a competitor's marketing, take the direction as a prompt to ask Gainsight how many admin hours a month a team of your size typically needs, not as a measured fact.

Three worked examples with the arithmetic shown

Example 1, 8 CSMs, one ops lead and one head of CS, 700 customers. That is 10 full users. Gainsight Essentials covers 10 full users and, at 100 customers per user, 10 x 100 = 1,000 customers, so 700 fits with 300 spare. The hire of an eleventh full user breaks the package limit, so ask what an additional seat costs and whether Essentials can stretch or the account must move to Enterprise. Planhat has no printed limit, so the quote itself is the test: ask for the same 10 users and 700 companies and see what each line is.

Example 2, 14 CSMs, 2 admins and 2 team leads, 3,200 customers. That is 18 full users. Essentials fails twice: 18 is above 10 users, and 10 x 100 = 1,000 is below 3,200 customers. Enterprise holds 20 full users and 20 x 200 = 4,000 customers, so it fits; if customers per user is counted per assigned seat, 18 x 200 = 3,600 still clears 3,200. This is the case where Enterprise's forecasting and sponsor-tracking features come with the capacity you needed anyway.

Example 3, usage data volume. Say you track 12 usage metrics for each of 500 customers every day: 12 x 500 = 6,000 values a day, or 6,000 x 365 = 2,190,000 values a year. Gainsight's low volume custom object cap of 1 million records would be reached after 1,000,000 / 6,000, about 167 days, which is why its documentation points usage at Adoption Explorer instead. Planhat stores Custom Metrics daily by design, so the same data fits its time series model; ask Planhat whether metric volume affects your quote.

Moving from Gainsight to Planhat

Planhat's switch page claims field-by-field mapping of timeline activities, health score trends, usage logs and notes via flat file, API or native integration, and an average go-live of under 8 weeks. Those are Planhat's claims about its own migration service. The risk on your side is rules that encode years of exceptions: write down why each rule exists before rebuilding it.

1. Inventory the Gainsight org: standard and custom objects, scorecards and their weights, Rules Engine rules and chains, CTA types, programs, surveys, connectors and who owns each. Planhat's switch page lists Company and Relationship objects, health score logic, the automation set and user roles as the discovery scope.
2. Export Companies, Relationships, Person data, timeline entries and notes, and any usage objects. Use Gainsight's Data Management, Bulk API or S3 route for the large objects and the Person API for people.
3. Map Gainsight objects to Planhat models: Company to Company, Person and Company Person to End User, and decide what Relationship becomes, either a parent and child company or a Project or adapted model, before importing anything.
4. Load customer data through the Planhat import options (file import, API, CRM or warehouse integration listed in its import and export documentation) and connect the CRM sync before you load activity history.
5. Rebuild health from scratch: collapse each Gainsight scorecard into one or more health profiles of two to eight factors, and recreate any measure as a Calculated Metric first.
6. Recreate Rules Engine logic as Planhat Automations and Workflows, and test each against a handful of known accounts before switching off the Gainsight rule.
7. Run both in parallel for one renewal cycle so CSMs can compare health outcomes, then cancel Gainsight once exports are archived.

Moving from Planhat to Gainsight

Sources for this section: Gainsight's pricing page and support documentation for objects, scorecards, the Rules Engine, Adoption Explorer and connectors, and Planhat's pricing page, help center and developer documentation, all read on 2026-10-07.

1. Decide first what to archive. Planhat's import and export documentation says logs, activities and emails cannot be exported from Planhat, so keep a copy of the views you need or agree an export route with Planhat before you cancel.
2. Export companies, end users, licenses, opportunities and metrics through the Planhat API or the in-app import and export.
3. Create the Gainsight objects you need. Use high volume custom objects for anything that behaves like usage data and low volume ones for reference data that will be edited, remembering the 100 object, 100 field and 1 million record limits on the low volume type.
4. Load Company first, then Person data. Gainsight's People API requires the associated Company and Relationship records to exist before Company Person and Relationship Person records are loaded.
5. If you use Salesforce, install the Gainsight connected app package and map Account to Company and Contact to Person and Company Person; set up the S3 or Bulk API route for usage files.
6. Rebuild each health profile as a scorecard with measures and percentage weights that add up to 100% at each level, and rebuild automations as Rules Engine rules that write scores with Set Score and open CTAs.
7. Train CSMs on Cockpit and CTAs, and train one or two people as admins before go-live.