Cust
AI retention agents that deep-research every B2B SaaS account, explain churn risk, and draft retention actions for your CS team.
Cust is worth a serious look if your CS team is drowning in accounts it cannot personally cover, and unlimited seats on every plan is a real answer to per-seat economics — Gainsight and ChurnZero both price by seat. It is cloud-only and sold as a credit meter: Foundation gives 1,000 credits/mo billed annually at $384, and asking Cust an open-ended question costs 5–10 credits while a scheduled CSM agent run costs 16–24, so a handful of power users can outrun the entry tier fast. Model your real research volume against the tier, not the headline price. Skip it if you need rigid, auditable if/else automation, or you are below roughly 100 accounts and your CSM already knows every customer by
Verified 6d ago · liveness 68/100 · cite: rightaichoice.com/tools/cust
- B2B SaaS CS teams covering 100–2,000+ accounts who cannot give every customer real attention
- Mid-market companies that want proactive retention without adding CSM headcount, since seats are unlimited on every plan
- Teams leaving Gainsight, Totango, or ChurnZero because implementation ran for months
- CS leaders who need to explain a health score to an exec and want reasoning, not a black box
- Companies below roughly 100 accounts, where a CSM already knows every customer personally
- Teams that require fully deterministic, auditable if/else automation over AI recommendations
- Organizations that need on-premises or self-hosted deployment — Cust is cloud-only
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Skip Cust if your CS motion has to be deterministic and auditable — plain-language AI conditions and agent-written health scores are the architecture, not a setting you can turn off.
Going past your monthly allowance means one-time credit top-ups: $400 for 1,000 credits, $1,500 for 4,500, $3,000 for 10,000, or $6,250 for 25,000.
Unlimited seats on every tier is the structural advantage: Foundation at $384/mo billed annually covers a whole CS, support, and RevOps team for less than a couple of Gainsight or ChurnZero seats, and Scale at $2,880/mo billed annually is where warehouse context and CRM write-back unlock. Enterprise at $6,000/mo billed annually undercuts a legacy CSP implementation project, but the credit meter — not the seat count — is what scales your bill.
In short
Cust — AI retention agents that deep-research every B2B SaaS account, explain churn risk, and draft retention actions for your CS team. Best for B2B SaaS CS teams covering 100–2,000+ accounts who cannot give every customer real attention, Mid-market companies that want proactive retention without adding CSM headcount, since seats are unlimited on every plan, Teams leaving Gainsight, Totango, or ChurnZero because implementation ran for months. Plans from $384/mo.
What people actually say about Cust — is it worth it?
We scanned public community sources for Cust on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Cust? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI retention agents that continuously deep-research every customer account
- Health scores with written reasoning behind each rating
- Portfolio prioritization and a daily feed of account updates
- One-click multi-step actions: QBR briefs, churn forecasts, ROI calcs, renewal proposals
- Reusable Skills — AI workflows steered by natural language instead of templates
- Customer data chat for open-ended questions across connected account data
- Meeting prep briefs built from meetings, emails, usage, open actions, and company news
- Sentiment and risk extraction from emails, calls, and tickets (Growth and above)
- Support tickets and product issues as customer context (Growth and above)
- Slack conversations pulled in as customer context (Growth and above)
- Data warehouse context for usage and product analytics (Scale and above)
- CRM field updates written back automatically from account research (Scale and above)
- EU or US data residency (Scale and above)
- Custom imports for proprietary data sources (Enterprise)
- Scheduled background CSM agents for QBR prep, research, and report building
About Cust
Cust is an AI customer retention platform for B2B SaaS teams that carry more accounts than their CS headcount can cover. You connect the systems your team already lives in — email, calendar, CRM, call transcripts — and retention agents continuously deep-research the whole book of business to surface who is drifting and who is ready to expand. Instead of a dashboard nobody opens, you get a prioritized portfolio with the written reasoning behind each call. The problem it targets is silent churn. Cust's own framing: a typical B2B company with 2,000 accounts has 8–12 people managing them, each person handling 150–250 accounts but giving real attention to their top 20. The other 80–90% get a quarterly check-in if they're lucky, then cancel. Cust researches every account continuously so a risk signal shows up before it becomes a non-renewal. Core capabilities: health scores that explain themselves, a portfolio feed of daily account updates, open-ended questions against your connected customer data, and reusable Skills — natural-language AI workflows instead of a template library. Multi-step jobs run in one click: QBR briefs, churn forecasts, ROI calculations, and renewal proposals are drafted rather than assembled by hand. Sentiment and risk extraction from emails, calls, and tickets arrives at Growth; Slack conversations and support tickets likewise; data warehouse context, CRM field write-back, and EU or US data residency arrive at Scale; custom imports of proprietary data at Enterprise. Pricing is credit-based with unlimited seats on every tier, billed annually by default with a 20% saving over monthly: Foundation at $384/mo billed annually ($4,608/yr) for 1,000 credits, Growth at $1,440/mo billed annually for 4,500 credits, Scale at $2,880/mo billed annually for 10,000 credits, and Enterprise at $6,000/mo billed annually for 25,000 credits. Monthly billing is available at higher rates. Architecturally this is a different bet from Gainsight, Totango, and ChurnZero: no months-long implementation, no template library to maintain, no per-seat math. The tradeoff is that you are buying AI judgment rather than deterministic rules — teams that need auditable if/else logic will find it a poor fit.
Behind the Verdict
Cust's pitch is narrower and more honest than most CS platforms: attention is the product. The company says a 2,000-account book is typically covered by 8–12 people who each give real attention to about 20 accounts, and it sells an agent per account instead of a better dashboard. Whether that framing survives contact with your data is the whole evaluation. Strengths worth naming. Unlimited seats on every plan, including Foundation at $384/mo billed annually, is unusual in a category where Gainsight, Totango, and ChurnZero all meter by seat — it means your support and RevOps people can read account context without a contract conversation. Health scores ship with written reasoning rather than a black-box number, which matters when a CS leader has to defend a call to an exec or a board. The multi-step actions are concrete rather than aspirational: QBR briefs, churn forecasts, ROI calculations, renewal proposals, and scheduled background CSM agents for research and report building. Reusable Skills let you steer the agents in natural language instead of maintaining a library of email templates. And Cust publishes a credit-cost table, so you can see that analysing one interaction costs 0.02–0.03 credits while an open-ended customer question costs 5–10 — more transparency than most usage-priced AI tools offer. Weaknesses and honest tradeoffs. Capabilities are tiered in a way that bites. Support tickets, product issues, and Slack conversations as customer context all start at Growth ($1,440/mo billed annually); data warehouse context, CRM field write-back, and EU or US data residency start at Scale ($2,880/mo billed annually); custom imports of proprietary data start at Enterprise ($6,000/mo billed annually). A team that needs warehouse context is not a Foundation buyer. Certain things cost extra on top of the plan: the Shared Inbox & Ticketing add-on and the Custom Apps builder are $500/mo each, another data source is $500 per integration, and credit top-ups run $400 for 1,000 credits up to $6,250 for 25,000. The credit meter is the thing to interrogate. Scheduled CSM agent runs at 16–24 credits and open-ended questions at 5–10 credits mean Foundation's 1,000 credits is roughly 450 open-ended answers or about 50 agent runs per month — fine for one CSM, thin for a team of ten sharing the workspace. Growth's 4,500 credits buys roughly 20,000 account health scores or 450 open-ended answers per month by Cust's own estimates. Where it fits: mid-market B2B SaaS carrying 100–2,000+ accounts, teams migrating off a legacy CSP because implementation ran for months, and CS leaders who want to explain a score rather than defend a black box. Where it doesn't: sub-100-account companies where the CSM already knows everyone, teams required to run deterministic and auditable if/else automation, and anyone needing on-prem or self-hosted deployment — Cust is cloud-only. If your CS motion is fundamentally rules-based and contractual, this is the wrong architecture; if
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Real-world workflow fit
Concrete scenarios for the personas Cust actually fits — and what changes day-one when you adopt it.
Connect Salesforce, Gmail, Google Calendar, and call transcripts on Foundation, then let retention agents research each account and produce health scores with written reasoning overnight.
Outcome: You open the portfolio each morning with a prioritized list of accounts that are drifting, plus the reason each one scored where it did, instead of building that list by hand.
Use reusable Skills to define a QBR prep workflow, then run it as a scheduled background CSM agent for the accounts with renewals inside 90 days.
Outcome: QBR briefs assembled from meetings, emails, usage, open actions, and company news are drafted for review, at 16–24 credits per run rather than a day of manual assembly.
Connect Snowflake or BigQuery alongside CRM and Slack, let agents research accounts across all of it, and enable CRM field write-back so research outputs land in Salesforce automatically.
Outcome: Health scores and next steps show up in the CRM your sales team already reads, without someone copying notes between systems.
Use Cases
- Detect accounts with declining product usage and draft a re-engagement plan before the renewal conversation.
- Generate a QBR brief for every customer in your portfolio instead of the five you have time for.
- Surface churn risk within 24 hours of a missed milestone or a support ticket.
- Find expansion opportunities in accounts with growing usage or high stakeholder engagement.
- Build personalized meeting agendas from recent emails, calls, usage, open actions, and company news.
- Produce renewal proposals with ROI calculations and behavioral data in one click.
- Ask open-ended questions across connected customer data instead of pulling three reports.
- Route accounts through plain-language AI conditions to decide the next workflow step.
Limitations
- Cust is cloud-only and metered in monthly credits: Foundation 1,000; Growth 4,500; Scale 10,000; Enterprise 25,000.
- The credit costs are published, and they vary hugely by activity — 0.02–0.03 credits to analyse an email, call, or ticket, but 5–10 credits for an open-ended question and 16–24 credits for a scheduled CSM agent run.
- Estimates assume the entire allowance goes to one activity, which no real team does.
- Capabilities are tiered: support tickets, product issues, and Slack conversations start at Growth; data warehouse context, CRM field write-back, and EU or US data residency start at Scale; custom imports of proprietary data start at Enterprise.
- The Shared Inbox & Ticketing and Custom Apps add-ons are $500/mo each on top of your plan, and an additional data source is $500 per integration.
- Seats are unlimited on every plan.
as of 2026-10-03
Verification history
We have re-verified Cust 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Cust tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Foundation
$384/mo billed annually ($4,608/yr, save $1,152); $480/mo mo
Ideal for
A single CS team connecting email, calendar, CRM, and call transcripts and wanting researched health scores without a per-seat contract.
What this tier adds
Starting tier: 1,000 credits per month, unlimited seats, and the core connections — no ticket, Slack, or warehouse context.
Growth
$1,440/mo billed annually ($17,280/yr, save $4,320)
Ideal for
Support-inclusive CS orgs that want tickets, product issues, and Slack conversations folded into each customer record.
What this tier adds
Adds support tickets, product issues, and Slack conversations as customer context, and raises the allowance from 1,000 to 4,500 credits per month.
Scale
$2,880/mo billed annually ($34,560/yr, save $8,640)
Ideal for
Data-mature teams where product usage lives in a warehouse and health scores need to write back into the CRM.
What this tier adds
Adds data warehouse context, automatic CRM field updates, and EU or US data residency, with 10,000 credits per month.
Enterprise
$6,000/mo billed annually ($72,000/yr, save $18,000)
Ideal for
Large or complex operations with proprietary data sources that need higher monthly agent capacity.
What this tier adds
Adds custom imports for proprietary data and 25,000 credits per month, more than double Scale's allowance.
Add-on: Shared Inbox & Ticketing
$500/mo
Ideal for
Teams that want ticket triage and drafted replies inside Cust rather than in a separate helpdesk workflow.
What this tier adds
Paid add-on at $500/mo that adds ticket triage, drafted replies, routine resolution automation, and SLA rules by customer tier.
Add-on: Custom Apps
$500/mo
Ideal for
Teams that want internal tools built on the customer data already connected to Cust.
What this tier adds
Paid add-on at $500/mo that lets you build and publish custom tools inside Cust using your connected customer data.
Add-on: Additional integration
$500 per integration
Credit top-ups
$400–$6,250 one-time
Ideal for
Teams that hit their monthly allowance in a busy quarter and need capacity before the next billing cycle.
What this tier adds
One-time purchases of 1,000 credits for $400 up to 25,000 credits for $6,250, used after your monthly allowance is exhausted.
Where the pricing makes sense
The company stage and team size where Cust's pricing actually pencils out — and where peers do it cheaper.
Unlimited seats on every tier is the structural advantage: Foundation at $384/mo billed annually covers a whole CS, support, and RevOps team for less than a couple of Gainsight or ChurnZero seats, and Scale at $2,880/mo billed annually is where warehouse context and CRM write-back unlock. Enterprise at $6,000/mo billed annually undercuts a legacy CSP implementation project, but the credit meter — not the seat count — is what scales your bill.
Setup time & first value
How long it actually takes to get something useful out of Cust — broken out by persona, not the marketing-page minute.
Cust sells same-day go-live rather than a months-long implementation: connect email, calendar, CRM, and call transcripts and account research begins that day. Expect most of setup to be deciding which data sources go in and defining your first Skills, not configuring workflows. Growth and Scale add ticket, Slack, and warehouse sources, which take longer to authorize than to connect.
Switching to or from Cust
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Gainsight: export account lists and health-score criteria, then let Cust research each account from connected email, calendar, CRM, and call data instead of rebuilding scorecards.
- →From Totango: keep your success plans in Totango during the overlap and run Cust against the same CRM source so you can compare its reasoning against your existing scores.
- →From ChurnZero: point Cust at the same CRM and product data, then rebuild your playbooks as natural-language Skills rather than template sequences.
- →From a spreadsheet-based CS process: connect the CRM and email sources your team already uses and get a researched portfolio without a data migration project.
- ↗To Gainsight or ChurnZero: export account records and health scores from Cust, and expect to rebuild the logic as deterministic scorecards and playbooks, since Cust's scores are AI judgments rather than rules you can
- ↗To a custom in-house build: pull your account data back out of the connected CRM and warehouse sources; Cust's research reasoning and Skills definitions do not export as runnable logic.
- ↗To a lighter CS tool: keep the CRM as the system of record and drop the connected sources you no longer need, since Cust reads from those systems rather than owning the data.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Cust”, and we withheld 6: 6 could not be judged, because “Cust” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Cust.
Official links
Tools that pair well with Cust
Common stack mates teams adopt alongside Cust, with the specific reason each pairing earns its keep.
Clay
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Insider
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Dcipher Insight Booster
Insight Booster automates enterprise-scale research, analysis, and report generation with agentic AI workflows.
Featured Head-to-Head Comparisons
Cust vs Truleo
Truleo and Cust serve entirely distinct verticals: one for law enforcement intelligence, the other for customer success retention. Choose Truleo if you need to connect siloed police data and automate case workflows; choose Cust if you manage hundreds of B2B accounts and need AI to prioritize risks and scale proactive outreach. Neither tool competes directly, so your decision hinges purely on your industry and role.
Cust vs B Rokratt
Cust and Bürokratt serve entirely different domains—B2B retention vs. public e-government. Your choice depends on which problem you need solved: if you're a CS team looking to automate account health monitoring and actions, Cust is purpose-built with AI agent workflows and CRM integrations. If you're an Estonian resident needing to interact with government services via voice/text, Bürokratt is a free, secure option. There is no direct overlap, so pick based on your role and region.
Cust vs Presto Voice
Cust and Presto Voice serve entirely different markets. Cust is an AI agent for B2B customer success teams needing proactive retention at scale, while Presto Voice automates drive-thru ordering for QSR chains. Your choice depends entirely on your domain: if you manage SaaS accounts, Cust; if you run fast-food drive-thrus, Presto Voice. Do not compare them head-to-head — pick the one matching your industry.
Alternatives to Cust
View allClay
Clay is a go-to-market data and AI research platform for teams that want to build their own enrichment, signal, and outbound workflows instead of renting a
Insider
Agentic customer engagement platform combining an AI CDP, Agent One autonomous agents, and omnichannel personalization for enterprise brands.
Dcipher Insight Booster
Insight Booster automates enterprise-scale research, analysis, and report generation with agentic AI workflows.
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