Signals for your industry

Choose your industry to see what SignalHOT flags and what its AI Advisors recommend, from the service desk and CRM data you already have.

Signals in Manufacturing that protect and expand your aftermarket business

For most equipment makers the aftermarket (service contracts, spare parts and repairs) is the steadiest revenue and the stickiest relationship. It is also where customers decide whether to stay. A plant that waits days for a technician, or opens a third warranty claim on the same component, starts asking your competitor for a quote before the contract renews. Those signs sit in service and warranty cases, one ticket at a time, while sales watches orders. SignalHOT reads the service history across your whole installed base and tells aftermarket, service and account teams which customers to protect and which to grow.

Who uses it VP Customer Service Head of Aftermarket Service Operations Dealer and Distributor Managers Key Account Managers CRO

What SignalHOT reads in your systems

  • Service and warranty casese.g. “Packaging line 3 jams again after repair”
  • Repeat failures and RMA ticketse.g. “Third RMA for the same pump seal”
  • Post-service CSAT surveyse.g. “Engineer visit rated 2 of 5”
  • Service contract renewal datese.g. “Maintenance contract renews 30 November”
  • Account tier: key accounts, dealers, distributorse.g. “Key account, tier 1 distributor”

From Salesforce, ServiceNow, Zendesk or a custom feed. Read-only.

Four signals, one account view

Protect: Churn Risk, Escalation · Grow: Success, Growth
ProtectChurn Risk High risk

A maintenance contract up for renewal after a bad quarter

A food-processing plant on a three-year maintenance contract has opened four cases on the same packaging line in 60 days. Two missed their response time, the last CSAT survey came back 2 out of 5, and the contract renews in 30 days.

Signals readRepeat cases on one lineMissed response timesCSAT 2 of 5Renewal in 30 days

Why it mattersLosing a maintenance contract usually takes the spare parts and upgrade business with it.

ProtectEscalation Escalate now

A line-down case going quiet

A critical case logged as line down is 18 hours past its response target. The last update from your side was yesterday, and the plant manager's latest note reads: production stopped, we need an engineer today.

Signals readCritical prioritySLA overdueNo update in 24 hoursNegative tone

Why it mattersEvery hour of downtime costs the customer money. How you handle one line-down case is remembered at renewal.

GrowSuccess Champion

A dealer that runs a model service operation

A regional dealer's customers rate its repairs 5 out of 5, its cases close well inside target and the tone of every conversation is positive.

Signals readCSAT 5 of 5Fast resolutionPositive toneStable account

Why it mattersA proven dealer is the most credible voice when you win new accounts or launch a product line.

GrowGrowth Opportunity

Installed base with no service plan

Growth opportunity, matched to your maintenance plan, parts package and training catalogue.

A customer bought 12 machines with warranty only. Its recent cases ask about preventive maintenance, spare-part lead times and operator training.

Signals readAsks about maintenance, parts, trainingProducts it does not ownGood CSAT

Why it mattersTurning warranty-only customers into service-plan customers is the core of aftermarket growth.

How SignalHOT's AI and machine learning help

Machine learning signal monitoringEvery customer, distributor and open service case is re-ranked continuously across CSAT, case pressure, tone, customer value and renewal timing. A slow decline spread across many small warranty cases is caught, not only the one loud complaint.
Self-learning modelsWhen a customer leaves or buys more, the Churn Risk and Growth models learn from that outcome and re-weight their factors for your business. Your team reviews and approves every change.
Language understandingSignalHOT reads each service conversation for tone, and for mentions of parts, maintenance and product lines, then matches them to your catalogue.
AI AdvisorFor each flagged account it explains the reason in plain words, recommends the next step and drafts the email to the customer. Account managers can ask it follow-up questions.

Signals in Logistics that keep your shippers and expand your lanes

Shippers judge a logistics provider on exceptions: the late delivery, the damaged pallet, the missed pickup, the claim that takes six weeks to settle. Contracts are usually annual and lanes move quietly. A shipper rarely cancels; it simply awards the lane to someone else at the next tender. The warning signs sit in customer service, claims and account tickets that nobody reads per account. SignalHOT does, across every shipper, carrier and delivery partner.

Who uses it VP Customer Service Head of Customer Experience Claims Managers Network Operations Key Account Managers CRO

What SignalHOT reads in your systems

  • Exception, delay and damage casese.g. “Pallet damaged on arrival at the Dallas DC”
  • Claims tickets and how long they stay opene.g. “Damage claim open for 41 days”
  • Post-delivery CSAT and complaintse.g. “Third late delivery this month”
  • Contract and tender datese.g. “Annual tender opens 15 January”
  • Shipper value and tiere.g. “Top 20 shipper, Enterprise tier”

From Salesforce, ServiceNow, Zendesk or a custom feed. Read-only.

Four signals, one account view

Protect: Churn Risk, Escalation · Grow: Success, Growth
ProtectChurn Risk High risk

A shipper heading into a tender

A retail shipper raised delay complaints on three lanes this month, three cases are past SLA, its CSAT has fallen from 4.5 to 2.8, and its annual contract goes out to tender in 45 days.

Signals readMore exception casesSLA missesCSAT 4.5 to 2.8Tender in 45 days

Why it mattersLanes lost at a tender rarely come back before the next one.

ProtectEscalation Escalate now

A delivery partner falling behind

Account Escalation ranks the partner first in the network view, with closing speed shown.

One regional delivery partner carries five at-risk cases and takes twice as long as the rest of your network to close a case.

Signals readAt-risk cases per partnerClosing speed vs networkShare of open cases at risk

Why it mattersYour customer never sees the partner, only the late delivery with your name on it.

GrowSuccess Champion

A shipper ready to vouch for you

A manufacturer has rated every delivery case 5 out of 5 for six months, and its claims close quickly.

Signals readCSAT 5 of 5 for 6 monthsClaims closed fastPositive tone

Why it mattersA reference from a shipper in the same vertical shortens the next sales cycle.

GrowGrowth Opportunity

An e-commerce shipper outgrowing its contract

Growth opportunity, matched to your warehousing and returns services.

An e-commerce customer's cases keep asking about returns handling, peak-season storage and next-day delivery in a new region.

Signals readAsks about returns, storage, new regionServices not in contractGood CSAT

Why it mattersAdding services for an existing shipper costs far less than winning a new one.

How SignalHOT's AI and machine learning help

Machine learning signal monitoringHundreds of shipper accounts and thousands of claims and delivery cases are ranked continuously, so the team starts each day with the few accounts that matter most.
Network viewMachine learning rolls cases up to each carrier and delivery partner and compares how fast each one closes cases against the rest of your network.
Self-learning modelsChurn Risk and Growth learn from the shippers you actually lost or grew, and adjust to your business after your approval.
AI AdvisorWrites the reason, the next step and a draft message for each flagged shipper or partner, and answers follow-up questions.

Signals in Field Service that protect your contracts and expand every site

Field service is managed job by job: response time, first-time fix, repeat visits. Customers judge it by the whole contract: did the building stay cool, did the lift work, did anyone call back. A run of repeat visits at one site, or a partner who keeps missing windows, puts a renewal at risk long before the contract comes up. SignalHOT reads jobs, visits and messages per account and per service partner, so managers see the risk while there is still time to fix it.

Who uses it Head of Service Operations Service Network and Partner Managers Dispatch Leads Customer Success CRO

What SignalHOT reads in your systems

  • Work orders and service casese.g. “Chiller down in Building B”
  • Repeat visits and missed windowse.g. “Second visit; the 8 to 10 am window was missed”
  • Post-visit CSAT and feedbacke.g. “Visit rated 2 of 5: nobody called back”
  • Contract renewal datese.g. “HVAC contract renews 1 February”
  • Technician and partner on each jobe.g. “Authorised service centre, North region”

From Salesforce, ServiceNow, Zendesk or a custom feed. Read-only.

Four signals, one account view

Protect: Churn Risk, Escalation · Grow: Success, Growth
ProtectChurn Risk High risk

An HVAC contract after a hot summer

A commercial property customer reported four chiller failures in three weeks. Two jobs needed a second visit, a technician missed the agreed window, and the facilities manager wrote: this is not acceptable. The annual contract renews in 45 days.

Signals readRepeat visitsMissed windowNegative toneRenewal in 45 days

Why it mattersA maintenance renewal is decided by the worst month, not the average.

ProtectEscalation Escalate now

An authorised service centre falling behind

Account Escalation ranks the centre, with breadth, severity and closing speed.

Across your network of authorised service centres, one centre has several jobs ageing past target and closes cases far slower than the rest.

Signals readAgeing jobs per partnerClosing speed vs networkShare of jobs at risk

Why it mattersCustomers blame the brand, not the partner who made the visit.

GrowSuccess Champion

A technician customers ask for by name

Champion on the Staff Success scorecard.

A technician's customers rate visits 5 out of 5, and their jobs close fastest in the region.

Signals readCSAT per technicianResolution speedPositive feedback

Why it mattersKeeping your best technicians, and spreading their habits, is cheaper than hiring.

GrowGrowth Opportunity

From HVAC to the whole building

Growth opportunity, matched to services the customer does not buy from you.

A customer using you for HVAC across five buildings keeps asking for electrical checks and fire safety inspections, and its feedback is positive.

Signals readAsks about electrical, fire safetyServices not in contractPositive CSAT

Why it mattersMore services per site makes the contract harder to replace.

How SignalHOT's AI and machine learning help

Machine learning signal monitoringEvery contract customer and every job is ranked continuously across repeat visits, SLA, tone, CSAT and renewal timing.
Network and technician viewMachine learning ranks service partners by breadth of at-risk jobs and closing speed, and scores technicians on CSAT and resolution, so you see who needs help and who to learn from.
Self-learning modelsChurn Risk and Growth learn from the contracts you lost or expanded and re-weight to your business, with your approval.
AI AdvisorExplains each flag in plain words, recommends the next step and drafts the message for the account owner or service partner.

Signals in Equipment Dealerships that keep fleet customers and expand parts, service and rental

An equipment dealer earns most of its margin after the sale: parts, service, rental and extended warranties across the customer's fleet. Customers rarely leave in one step. A contractor whose excavator waits a week for a part starts buying parts online and renting from the dealer across town, and by the time the next machine is due the relationship is gone. Those signs sit in service orders, parts requests and branch tickets. SignalHOT reads them per customer, so dealer principals, service managers and sales reps know who to call first.

Who uses it Dealer Principal Service Manager Parts Manager Product Support Sales Reps Rental Manager

What SignalHOT reads in your systems

  • Service orders and repair casese.g. “Excavator down, waiting on a hydraulic pump”
  • Parts requests and back-order complaintse.g. “Third back-order on filters this month”
  • Post-repair CSATe.g. “Repair rated 2 of 5”
  • Service agreement and warranty end datese.g. “Extended warranty ends in 60 days”
  • Fleet size and customer valuee.g. “Contractor with a 35-machine fleet”

From Salesforce, ServiceNow, Zendesk or a custom feed. Read-only.

Four signals, one account view

Protect: Churn Risk, Escalation · Grow: Success, Growth
ProtectChurn Risk High risk

A contractor drifting to another dealer

A contractor with 35 machines has had three machines wait more than a week for parts this quarter. Its last two repairs were rated 2 out of 5, and the extended warranty on six machines ends in 60 days.

Signals readLong machine-down casesParts back-ordersCSAT 2 of 5Warranty ends in 60 days

Why it mattersA customer who stops buying parts from you usually buys the next machine elsewhere too.

ProtectEscalation Escalate now

A combine down in harvest season

A farmer's combine has been down for three days in the middle of harvest. The case is past its response target and the last update was two days ago.

Signals readMachine downSLA overdueNo update in 2 daysNegative tone

Why it mattersIn seasonal work every day down is lost income for the customer, and they remember who got them running.

GrowSuccess Champion

A fleet customer who would vouch for you

A rental company rates every repair 5 out of 5, and its service orders close quickly.

Signals readCSAT 5 of 5Fast resolutionPositive tone

Why it mattersA satisfied fleet customer is the best lead for the next machine sale.

GrowGrowth Opportunity

Parts and service without an agreement

Growth opportunity, matched to your service agreements and telematics packages.

A customer buys parts piece by piece, and its cases keep asking about scheduled maintenance and machine tracking.

Signals readAsks about maintenance, telematicsNo service agreementGood CSAT

Why it mattersCustomers on a service agreement buy more parts and stay longer.

How SignalHOT's AI and machine learning help

Machine learning signal monitoringEvery fleet customer and machine-down case is ranked continuously across downtime, parts delays, CSAT, tone and warranty end dates.
Self-learning modelsChurn Risk and Growth learn from the customers you lost or grew, and re-weight to your dealership with your approval.
Language understandingSignalHOT reads each case for tone, and for mentions of parts, maintenance, rental and telematics, then matches them to your catalogue.
AI AdvisorExplains each flag in plain words, recommends the next step and drafts the message for the service manager or sales rep.

Signals in Healthcare that keep referral partners and expand your relationships

Hospitals and clinic groups depend on relationships that rarely appear on a dashboard: the referring practices that send patients, the employers that buy occupational health programmes, the partner sites that share services. When referral confirmations are slow or a billing query drags on, a practice quietly refers elsewhere. Those signs sit in the requests your access, partner and business teams already log. SignalHOT reads them per relationship.

Who uses it Business Development Physician Relations Partner Management Access and Operations leaders

What SignalHOT reads in your systems

  • Requests from referring practices and partnerse.g. “Referral not confirmed after five days”
  • Response and resolution timese.g. “Request answered in six days against a two-day target”
  • Partner and client satisfaction surveyse.g. “Practice survey down to 3 of 5”
  • Agreement and programme renewal datese.g. “Screening programme renews in March”
  • Relationship valuee.g. “Top 10 referring practice”

From Salesforce, ServiceNow, Zendesk or a custom feed. Read-only.

Four signals, one account view

Protect: Churn Risk, Escalation · Grow: Success, Growth
ProtectChurn Risk High risk

A referring practice losing confidence

A high-volume referring practice has logged repeated complaints about appointment availability and slow referral confirmations, and its satisfaction has fallen two quarters running.

Signals readRepeat scheduling complaintsSlow responsesFalling satisfaction

Why it mattersReferral volume often moves before anyone says a word.

ProtectEscalation Escalate now

An employer client waiting for answers

An employer client's requests about its staff health screening programme are past the agreed response time and have had no update for ten days.

Signals readSLA overdueNo update in 10 daysNegative tone

Why it mattersEmployer programmes renew every year; one slow quarter becomes the reason to switch.

GrowSuccess Champion

A partner clinic that would vouch for you

A partner clinic rates every request 5 out of 5, and its requests close quickly.

Signals readSatisfaction 5 of 5Fast resolutionPositive tone

Why it mattersPeer introductions are how most referral networks grow.

GrowGrowth Opportunity

An employer asking for more

Growth opportunity, matched to your occupational health services.

An employer client keeps asking about flu vaccination days and pre-employment screening, which it does not buy from you.

Signals readAsks about vaccination, screeningServices it does not buyGood satisfaction

Why it mattersA wider programme deepens the relationship and the revenue per employer.

How SignalHOT's AI and machine learning help

Machine learning signal monitoringEvery referral partner and business client is ranked continuously across satisfaction, open requests, service targets and tone.
Language understandingSignalHOT reads each request for tone and for mentions of services the client does not buy yet.
Self-learning modelsChurn Risk and Growth learn from the relationships you lost or grew and adjust to your organisation, with your approval.
AI AdvisorFor each flagged relationship it explains why, recommends the next step and drafts the outreach for your partner team.

Signals in Telecom that keep enterprise accounts and expand your network business

Business customers buy connectivity on multi-year contracts, but they judge the provider fault by fault: the outage that took a site offline, the ticket passed between teams, the bill that did not match the quote. As the contract nears its end, those memories decide whether they renew, renegotiate or move. The evidence sits in fault, service and billing cases across thousands of accounts. SignalHOT reads it per account and ranks the ones your account team must call first.

Who uses it VP Enterprise Customer Care Head of Service Assurance Account Management Billing Operations CRO

What SignalHOT reads in your systems

  • Fault and outage ticketse.g. “Branch 12 offline for four hours”
  • Billing disputes and service requestse.g. “Invoice does not match the quoted rate”
  • SLA and time to restoree.g. “Restore target four hours, took eleven”
  • Post-resolution CSATe.g. “Fault fix rated 2 of 5”
  • Contract end dates and account valuee.g. “40-site contract ends in 90 days”

From Salesforce, ServiceNow, Zendesk or a custom feed. Read-only.

Four signals, one account view

Protect: Churn Risk, Escalation · Grow: Success, Growth
ProtectChurn Risk High risk

An enterprise account before contract end

A multi-site enterprise customer raised 12 reliability cases in 60 days, two billing disputes are still open, its CSAT has fallen, and the contract ends in 90 days.

Signals read12 fault cases in 60 daysOpen billing disputesCSAT downContract ends in 90 days

Why it mattersEnterprise customers start talking to other providers months before their contract ends.

ProtectEscalation Escalate now

A repeat fault with no update

A business broadband customer has reported slow speeds five times in a month, and the latest case has had no update for eight days.

Signals readRepeat faultNo update in 8 daysNegative toneBusiness tier

Why it mattersRepeat faults met with silence are the usual path to a formal complaint.

GrowSuccess Champion

A reference account

A multi-site customer rates support 5 out of 5, and its faults are restored well inside SLA.

Signals readCSAT 5 of 5Restored inside SLAPositive tone

Why it mattersA satisfied enterprise reference is worth more than any discount in a competitive bid.

GrowGrowth Opportunity

More sites, more bandwidth

Growth opportunity, matched to your dedicated access, backup and managed network services.

A customer's recent requests are about connecting two new branches, more bandwidth at head office and backup connectivity.

Signals readAsks about new sites, bandwidth, backupServices not in contractGood CSAT

Why it mattersExpansion inside an existing account is the cheapest revenue a provider can win.

How SignalHOT's AI and machine learning help

Machine learning signal monitoringThousands of business accounts and fault cases are ranked continuously, weighting each account by value and renewal timing so the right enterprise customers rise first.
Language understandingSignalHOT reads fault and billing conversations for tone, and spots requests for more bandwidth, new sites or managed services.
Self-learning modelsChurn Risk and Growth learn from the accounts you actually lost or upgraded, and re-weight to your business after your approval.
AI AdvisorWrites the reason, the next step and a draft message for each flagged account, ready for the account team to send.

Signals in Financial Services that protect your clients and expand share of wallet

Business clients rarely leave a bank, insurer or payment provider over price alone. They leave after a payment that did not go through, a claim that stalled, a relationship manager who stopped calling back. Those moments are logged as service requests and complaints, often in a different system from the relationship. SignalHOT reads them per client and tells relationship teams who needs attention, with the reasons shown, so every action can be explained.

Who uses it Head of Client Service Relationship Management Complaints and Customer Experience Claims Managers CRO

What SignalHOT reads in your systems

  • Service requests and complaintse.g. “Supplier payment delayed three days”
  • Claims and payment casese.g. “Property claim open for six weeks”
  • Response times against your service standardse.g. “Complaint answered in nine days against a five-day standard”
  • Client satisfactione.g. “Relationship survey down to 3 of 5”
  • Renewal and review dates, client valuee.g. “Policy renews 1 April; high-value client”

From Salesforce, ServiceNow, Zendesk or a custom feed. Read-only.

Four signals, one account view

Protect: Churn Risk, Escalation · Grow: Success, Growth
ProtectChurn Risk High risk

A business banking client

A mid-size business client made three complaints about delayed supplier payments this month. One is still open past your service standard, and its satisfaction has dropped.

Signals readRepeat payment complaintsPast service standardSatisfaction down

Why it mattersA business that moves its main account usually moves its payments, deposits and lending with it.

ProtectEscalation Escalate now

A claim stalled before renewal

A corporate insurance client has had a property claim open for six weeks. The policy renews in 60 days, and the last update was ten days ago.

Signals readClaim open 6 weeksNo update in 10 daysRenewal in 60 days

Why it mattersHow a claim is handled is the main reason commercial policyholders renew or leave.

GrowSuccess Champion

A merchant who would refer you

A merchant on your payments platform rates support highly, and its cases close quickly.

Signals readHigh satisfactionFast resolutionPositive tone

Why it mattersMerchants trust other merchants more than any sales pitch.

GrowGrowth Opportunity

A wider relationship

Growth opportunity, matched to your FX and cash management products.

A business client's requests keep touching on foreign exchange payments and cash management.

Signals readAsks about FX, cash managementProducts it does not holdGood satisfaction

Why it mattersClients who use more of your products stay longer.

How SignalHOT's AI and machine learning help

Machine learning signal monitoringEvery business client is ranked continuously across complaints, open requests, SLA, satisfaction and renewal timing.
Explainable by designEvery flag shows the factors behind it and their weight. Nothing is a black box, and people decide every action.
Self-learning modelsChurn Risk and Growth learn from the clients you lost or grew. Each change to the model is reviewed and approved by your team.
AI AdvisorRecommends the next step and drafts the client message for the relationship manager, and answers follow-up questions.

Signals in IT Services that keep your clients and expand your managed services

Managed service providers live on tickets and SLAs, and so do their clients. A client rarely leaves over one incident. It leaves after a quarter of repeat outages, P1 tickets that sat in a queue, and a service review where the SLA report looked green but the client's experience did not. The renewal is lost months before the contract ends. SignalHOT reads client tickets from ServiceNow, Zendesk or a custom feed from your PSA tool, explains which clients are at risk and why, and shows where clients are asking for more.

Who uses it Service Delivery Managers Head of Service Desk Client Success and Account Managers VP Operations CRO

What SignalHOT reads in your systems

  • Incidents and service requestse.g. “Email outage for the second time this month”
  • P1 and P2 priority and SLA breachese.g. “P1 response target missed by 40 minutes”
  • Ticket CSATe.g. “Ticket rated 1 of 5: same issue as last week”
  • Contract renewal datese.g. “Managed services contract renews in 120 days”
  • Client tier and contract valuee.g. “Tier 1 client with 1,200 users”

From Salesforce, ServiceNow, Zendesk or a custom feed. Read-only.

Four signals, one account view

Protect: Churn Risk, Escalation · Grow: Success, Growth
ProtectChurn Risk High risk

A client heading into renewal unhappy

A 1,200-user client has had the same email outage twice this month, four P2 tickets breached SLA, ticket CSAT fell to 2.6, and the contract renews in 120 days.

Signals readRepeat incidentsSLA breachesCSAT 2.6Renewal in 120 days

Why it mattersManaged services renewals are decided in the service reviews of the last two quarters, not the last month.

ProtectEscalation Escalate now

A P1 going quiet

A P1 on a client's finance system is past its resolution target, the ticket has had no update for six hours, and the client's IT director has written: we are losing a day of invoicing.

Signals readP1 prioritySLA overdueNo update in 6 hoursNegative tone

Why it mattersOne badly handled P1 outweighs a year of green SLA reports.

GrowSuccess Champion

A client that would vouch for you

A client rates its tickets 5 out of 5, and its incidents close well inside SLA.

Signals readCSAT 5 of 5Inside SLAPositive tone

Why it mattersIn IT services, references from similar clients close most new deals.

GrowGrowth Opportunity

Asking for services you already sell

Growth opportunity, matched to your managed security and backup services.

A client's recent tickets ask about phishing emails, multi-factor authentication and backup for its cloud apps.

Signals readAsks about security, MFA, backupServices not in contractGood CSAT

Why it mattersAdd-on services raise contract value and make the relationship harder to replace.

How SignalHOT's AI and machine learning help

Machine learning signal monitoringEvery client and every P1 and P2 ticket is ranked continuously across priority, SLA, silence, tone, CSAT and renewal timing.
Language understandingSignalHOT reads ticket text for tone, and for requests that match your service catalogue: security, cloud, backup and projects.
Self-learning modelsChurn Risk and Growth learn from the clients you lost or grew, and re-weight to your business with your approval.
AI AdvisorExplains each flag, recommends the next step and drafts the client update or renewal note.

Signals in B2B Software that catch renewal risk and expand your subscriptions

Subscription customers rarely cancel out of the blue. Before they do, the support queue fills with the same integration error, feature requests go unanswered, and the admin who championed you stops replying. Usage dashboards show that something changed; the reasons usually sit in the tickets. SignalHOT reads Zendesk, Salesforce or ServiceNow per account, explains each risk in plain words and gives the CSM a next step before the renewal call.

Who uses it VP Customer Success Head of Support RevOps Account Management CRO

What SignalHOT reads in your systems

  • Support tickets and bugse.g. “API sync fails for the third time”
  • Feature requestse.g. “Needs single sign-on before renewal”
  • CSAT after ticketse.g. “Ticket rated 1 of 5: still broken”
  • Renewal dates and contract valuee.g. “$120K renewal in 45 days”
  • Account tiere.g. “Enterprise tier, 400 seats”

From Salesforce, ServiceNow, Zendesk or a custom feed. Read-only.

Four signals, one account view

Protect: Churn Risk, Escalation · Grow: Success, Growth
ProtectChurn Risk High risk

Renewal in 45 days

An annual customer has twice its usual number of tickets this quarter, three bugs still open, complaints about a missing feature, and a renewal in 45 days.

Signals readTicket volume upOpen bugsNegative toneRenewal in 45 days

Why it mattersRenewal risk found in the last two weeks is usually too late to fix.

ProtectEscalation Escalate now

An integration failure that keeps coming back

A customer keeps logging the same integration failure, resolution times are getting longer, and the tone is turning negative.

Signals readRepeat issueResolution time risingNegative tone

Why it mattersA repeat bug on one account turns a support issue into an executive escalation.

GrowSuccess Champion

A case study candidate

An account rates support 5 out of 5, and its tickets close fast.

Signals readCSAT 5 of 5Fast resolutionPositive tone

Why it mattersHappy customers rarely volunteer; the ones you ask at the right time usually say yes.

GrowGrowth Opportunity

Ready for the next tier

Growth opportunity, matched to your enterprise tier.

A customer keeps asking for single sign-on, audit logs and more admin seats, which sit in your enterprise tier.

Signals readAsks about SSO, audit logs, seatsFeatures it does not havePositive tone

Why it mattersExpansion revenue from existing customers is the cheapest growth a SaaS company has.

How SignalHOT's AI and machine learning help

Machine learning signal monitoringEvery account is ranked continuously across CSAT, case pressure, tone, customer value and renewal timing, straight from your helpdesk and CRM.
Language understandingSignalHOT reads each ticket for tone, and matches feature requests to the tiers and add-ons the customer does not have.
Self-learning modelsChurn Risk and Growth learn from the customers you lost or expanded, and re-weight to your business with your approval. No data scientist needed.
AI AdvisorGives each CSM the reason, the next step and a draft email for every flagged account, and answers follow-up questions.

Examples are illustrative. SignalHOT connects to Salesforce, ServiceNow, Zendesk or your own system through a custom feed. It only reads your data and never writes to your systems.

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