Buyer intelligence for ShowingTime users.
Explore buyer intelligence and governed AI action for your ShowingTime workflow. Keep customer identities under your control.
Start with a conversation. No buyer records needed.
Why are property showings down?
ShowingTime handles the showing workflow. Explore HiveSilo for buyer context, acquisition quality and control over the next action.
Read more about falling showings
Why have my property showings dropped over the past two months?
Fewer showings can reflect local supply and demand, home prices, mortgage interest rates, appointment access or follow-up. Compare supply, demand and prices for similar properties in your city and state, and put US home-price trends in context with pre- and post-COVID history. Use consistent locations, property types and time periods; a national trend may not explain a local change. ShowingTime supplies appointment activity. Explore HiveSilo for buyer intelligence and sales activation around it, with relevant market data scoped to your evaluation. [ST2] [ST3]
ShowingTime supports scheduling, feedback and reports of requested, confirmed and cancelled appointments. Keep those established workflows. Evaluate HiveSilo for the additional buyer and sales context your enterprise needs. [ST1]
Buyer intelligence for your next move.
Better-directed follow-up. More informed spend. Accountable action.
Discuss your priorities- Who merits attention
- Buyer-readiness context to support the next sales conversation.
- Where spend needs scrutiny
- Traffic-quality and intent context for acquisition decisions.
- Who controls the next action
- Named authority and pre-action policy checks for the governed workflow.
A focused briefing around the decisions that matter to your team.
Explore HiveSilo intelligence and activation
A clearer sales decision.
Where should our team focus when showings slow?
ShowingTime access and any historical appointment analysis require a separate feasibility review. Outputs depend on the agreed deployment.
Focus follow-up on buyer readiness.
HiveSilo describes intent scoring and sales intelligence that help teams prioritize interest before and alongside the sales conversation. [HS1]
Expected output: buyer-readiness tiers and context for the sales team.
Published HiveSilo platform capability. Readiness is not proof of a person's wealth, financing eligibility or likelihood to purchase.
Bring relevant industry intelligence to the decision.
HiveSilo describes UHNW/VHNW intelligence across 12 luxury niches. For a real estate evaluation, scope the relevant markets, communities, property categories, available inventory and recorded sales stages. Agree buyer tiers around the decisions your team needs to make. [HS0]
Evaluation objective: relevant industry context and an agreed definition of useful buyer tiers.
Published coverage claim; evaluate relevance for your business. Coverage breadth does not establish an exact identity match, unique market ownership or effectiveness for every portfolio. Proprietary data sources and scoring logic remain private.
Give acquisition decisions a traffic-quality view.
HiveSilo describes invalid-traffic detection alongside intent scoring. This adds a quality lens when deciding where to review acquisition spend. [HS1]
Expected output: traffic-quality and intent signals for permitted sales and marketing workflows.
Published HiveSilo platform capability. A reduction in wasted spend must be measured against your baseline. No bot-detection percentage or budget saving is promised here.
Put intelligence to work under policy.
HiveSilo combines scoped activation with an AI implementation layer. Define the permitted destination, the action and the authority before enabling a sales or campaign workflow. [HS2][HS7]
Expected output: an authorized handoff, with accountable control over the governed action.
Published implementation model; verify the enabled workflow. Policy enforcement covers actions routed through the configured boundary; access and permitted actions are scoped for your deployment.
Require control before AI acts.
Before an AI action reaches your CRM or campaign, require a clear owner, permitted scope and approval.
Request
An AI proposes an action
Check
Policy and authority
Approve
Named owner, when required
Act
Within permitted scope
Record
Keep the action, outcome and accountable owner traceable.
Unclear authority? Hold the action.Resolve with the named, authorized owner before proceeding.
Controls apply to actions routed through the configured HiveSilo boundary.
Read the governance and escalation requirements
Make accountable authorization a condition of putting AI to work. HiveSilo describes an operating layer that combines buyer intelligence, customer-data privacy and governance. Your deployment should establish the responsible owner and permitted scope before an agent can change records, contact buyers or trigger campaigns.
HiveSilo documents policy checks before execution, default denial when authorization is unclear, human checkpoints, scoped stop controls and decision receipts. These controls apply to actions routed through its policy boundary. Keep decisions, required approvals and held actions traceable as the workflow progresses, then record the action, outcome and accountable owner. [HS6][HS7]
- Who
- Identify the acting agent or person and name the business owner accountable for this workflow.
- What
- Define the action and permitted data categories before execution.
- Where
- Specify the approved system, destination and customer custody boundary.
- How
- Require an approved execution path, access scope and applicable policy checks.
- When
- Set the permitted conditions and approval validity; recheck authority before a held action resumes.
- Why
- Record the business purpose and the basis for allowing, denying or holding the action.
An edge case should stop the affected action.
For the deployment, require unresolved authority, an unapproved destination or an out-of-policy action to remain on hold. A timeout or unanswered approval request must not become permission to proceed.
Who gets the question?
Agree a named owner and authorized delegate for each workflow. A proposed responsibility model is: sales for buyer outreach and lead handling; marketing for campaign spend and audiences; security or privacy for data-access exceptions; the platform owner for connector or runtime changes. Test the escalation route. If no authorized reviewer is available, keep the action held.
ShowingTime example: an agent proposes changing buyer follow-up after a showing decline. The proposed control requirement is to check its scope before any CRM write or outbound message, and hold an unapproved action for the designated sales owner. Data-access exceptions go to the designated security or privacy owner.
Named-owner routing is configured and demonstrated for each deployment. Governance covers actions routed through its configured boundary; external systems remain responsible for actions outside that scope.
Your client list stays yours.
Get useful insights without handing over your customers’ names or contact details.
Explore the security architectureYour client records stay with your business under HiveSilo’s published architecture.
How your data stays under your control
HiveSilo's published architecture keeps customer identities and re-identifiable data inside the customer's enclave. HiveSilo receives permitted non-PII signals and scores. Validate that boundary for the exact workflow before connecting a new source. [HS4]
Your controlled environment
Customer PII
Identities and re-identifiable records stay here.
Your enclave. Your keys.Only permitted non-PII signals and scores
HiveSilo intelligence
Buyer context, scoring and governed activation.
Published architecture. Confirm the data boundary for your deployment.
Customer-controlled keys
Documented BYOK options cover AWS, Azure and GCP. Review key ownership, revocation and the deployment's access policy with your security team. [HS3]
Protected processing
The architecture describes confidential computing and trusted execution environments. Request deployment-specific attestation and data-flow evidence for your CISO's review. [HS3]
Scoped destinations and actions
Agree which systems receive outputs and what actions are authorized. Keep identity handling within the documented customer boundary. [HS2][HS4]
Control through the full relationship
Review permitted use, export, retention, deletion and offboarding terms. Customer-controlled keys are one control; they do not establish every contractual exit right. [HS3][HS4]
Customer-identity custody is distinct from HiveSilo account, billing and support records. Re-identifiable pseudonymous data is not anonymous. A proposed ShowingTime workflow needs its own approved data-flow review.
Optional Google Analytics
Allow Google Analytics to measure page use. No contact-form entries are sent to Google. You can change this choice here. HiveSilo first-party measurement remains governed by your privacy choices.
Google Analytics off until you choose.
Privacy choices and data useWhat you could gain.
See the intent behind your most valuable customers. Scale what works.
Explore HiveSilo case studiesContact HiveSiloSharper scoring. Clearer intent.
3,790 of 5,000 · UHNW buyer scoreIllustrative score
Use buyer-readiness signals to prioritize the next sales conversation, with customer identities kept in your environment.
Find more clients like your best.
4–6× · Reported conversion liftClosed-revenue outcomes
Use conversion feedback to guide growth through approved ad platforms and put more attention behind what works.
Put more of your budget to work.
Up to 31% · Reported ad-spend savingsBot and invalid-traffic filtering
Identify bot and invalid traffic before it distorts acquisition decisions and consumes more of your budget.
Keep evolving your protection.
99.99% · Bot detectionObserved client results
Goal, not an achieved result: toward 99.999999994% bot detection as the hive evolves. Observed client results vary.
Find revenue in data you already own.
5–21% · Revenue lift from existing dataHiveSilo-reported client results
Explore the revenue-discovery upgrade to surface overlooked opportunities in your existing CRM, databases and connected systems.
Published outcomes include client-reported results and illustrative, unaudited ranges. The owned-data revenue range was supplied by HiveSilo; request the measurement context in your briefing. Results vary.
Measure what matters
Define the result. Then require the evidence.
Focus on better-directed follow-up, less acquisition waste, protected customer identity custody and accountable AI execution. Agree the baseline, success measures and scope for your business.
- CEO: a clearer decision about the communities and sales opportunities that merit attention.
- CFO: an agreed baseline, evaluation costs and attributable outcomes before any ROI claim.
- CTO: a demonstrated, permitted connection and a usable handoff into the agreed system.
- CISO: verified identity custody and pre-action authorization, with tested hold, approval and revocation behavior.
Explore HiveSilo’s published outcomes and the measurement context behind them. [HS5][HS8][HS9]
Your next move starts with a conversation.
Bring your showing challenge. Map a first workflow, the data you control and a measurable next step with HiveSilo.
Enterprise real estate · Sales, marketing, technology & security
Mention ShowingTime and your business question.
No customer records or credentials.
A closer look,
when you need it.
Product scope, decision criteria and source-backed answers. The same facts for your team and its research tools.
Reviewed
ShowingTime connection & briefing scope
ShowingTime connection status
Explore connecting permitted ShowingTime appointment context with HiveSilo intelligence and your approved sales context.
Access, product edition, data rights and permitted actions are confirmed during your enterprise briefing.
Put your sales question in front of HiveSilo.
Request a private briefing focused on your sales decision and the controls required before AI acts. Establish product fit, connection feasibility, accountable owners and the evidence your deployment must provide.
A useful fit when
- Best suited to enterprise teams with substantial customer activity and margins that support an intelligence layer.
- Sales, marketing and security owners require governed execution before delegating actions to AI.
- You want an evaluation against an agreed baseline before expanding.
When this may not fit
- A lightweight scheduling or reporting tool would cover your needs.
- Your customer activity or margins do not yet justify an enterprise intelligence layer.
In the enquiry, name ShowingTime, your CRM and the business question. Please leave out buyer records, credentials and sensitive samples.
The contact button opens HiveSilo’s existing enterprise enquiry form, which asks for company and revenue context.
Eight questions before your briefing
1.Why evaluate HiveSilo alongside ShowingTime?
ShowingTime supports the showing workflow. HiveSilo combines buyer intelligence, customer-data privacy and an AI implementation layer. If your enterprise delegates sales or marketing actions to AI, require authorization and accountability before execution. Evaluate HiveSilo against that requirement and your business objectives. [HS1][HS6][HS7][ST1]
2.Can we keep ShowingTime and our current CRM?
Yes, retaining existing workflows is the intended approach. ShowingTime remains the showing system. HiveSilo's supported CRM or advertising destinations depend on the adapter, permissions and deployment. An existing destination adapter does not automatically provide access to your historical CRM or ShowingTime records. [HS2][ST1]
3.Does HiveSilo take our customer PII?
HiveSilo's published data-handling model keeps customer identity fields and re-identifiable values within the customer's enclave, while HiveSilo receives permitted non-PII signals and scores. Account, billing and support records are a separate category. Confirm the same boundary, including logs and outputs, for any proposed ShowingTime deployment. [HS4]
4.What happens when an AI action needs approval?
HiveSilo documents pre-action policy checks, human checkpoints and default denial within its governed boundary. For your rollout, require the affected action to stay held until a named authorized owner resolves it. Configure the responsible role, delegate, notification route and resumption conditions, then test them. [HS6]
5.How do the industry datasets and buyer tiers fit real estate?
HiveSilo publishes coverage across 12 luxury niches, including UHNW/VHNW buyer intelligence. A real estate evaluation should establish the relevant category coverage and how useful readiness tiers relate to the team's approved sales decisions. This page does not promise exact person-level matches, disclose proprietary scoring or infer financing eligibility. [HS0][HS1]
6.How would HiveSilo connect to our systems?
The briefing maps your APIs, endpoints, databases and existing connections, then establishes the access permissions, product edition, data rights and actions in scope. [ST1]
7.What results should we expect from an evaluation?
Agree the business question, access scope and baseline. Measure better-directed follow-up, acquisition efficiency and useful sales opportunities against that baseline. Request supporting evidence for the outcomes that matter to your team. [HS5]
8.What should we share to request a private briefing?
Name your business, the showing or sales decision, ShowingTime edition or MLS if known, and your CRM. Describe the problem in general terms. Do not send buyer names, records, credentials or sensitive samples in the initial enquiry. The existing HiveSilo enterprise form asks for company and revenue context.
Sources, scope & verification
- ShowingTime: Listing Activity [ST1]
Appointment activity, feedback context and report download in the documented product.
Does not establish a general public read API, HiveSilo access or partnership.
- HiveSilo: industry coverage [HS0]
First-party description of buyer intelligence across 12 luxury niches.
Not independent proof of uniqueness, exact matching or efficacy for this use case.
- HiveSilo: platform [HS1]
Published intent, sales-prioritization and traffic-quality capabilities.
First-party product documentation; this project has not independently tested these capabilities.
- HiveSilo: integration scope [HS2]
Named destinations, scoped activation and customer-controlled dispatch.
Does not establish universal historical data access or a working ShowingTime adapter.
- HiveSilo: security architecture [HS3]
Documented confidential processing, BYOK and customer control.
Deployment evidence and independent assessment are separate from published architectural descriptions.
- HiveSilo: data handling [HS4]
Customer identity custody, pseudonymous-data boundaries and separate account records.
A new operational data connection requires its own validated data flow.
- HiveSilo: published outcomes [HS5]
Existing first-party outcomes material, with client-reported and illustrative descriptions.
Published HiveSilo outcomes span other workflows; review their measurement context and supporting evidence.
- HiveSilo: AI agentic governance [HS6]
Published pre-action policy checks, default denial, human checkpoints, scoped stop controls and governance receipts.
First-party documentation, not independent testing. Applies to routed actions; automatic named-owner escalation is not established for this pilot.
- HiveSilo: AI implementation layer [HS7]
Published combined implementation model for intelligence, confidential processing and AI governance.
Connection design is scoped around the client’s APIs, endpoints, databases, access rights and permitted actions.
- HiveSilo: bot-detection results and buyer-score specimen [HS8]
The homepage presents 99.99% bot detection as observed client results, 99.999999994% as a goal, and a 3,790-of-5,000 UHNW buyer-score specimen.
The score is illustrative. The longer bot percentage is an aspiration, not an achieved result. Observed results vary.
- HiveSilo: owned-data revenue result briefing [HS9]
HiveSilo supplied a 5–21% client revenue increase range for existing-data workflows on 25 October 2026.
Company-reported range. Request the customer cohort, baseline and measurement period. The linked page is the briefing contact route, not a published case study.
- FHFA: historical house-price indexes [ST2]
Public house-price history at national, state and metropolitan levels supports comparisons across periods.
Indexes describe their defined housing markets; they do not explain an individual listing or establish a connected HiveSilo data feed.
- Freddie Mac: mortgage-rate history [ST3]
The Primary Mortgage Market Survey archive provides historical mortgage-rate context.
Survey averages are not an individual borrower quote or proof that rates caused a local showing change.
What an evaluation needs to prove
- The agreed connection and permitted data categories are demonstrated.
- The output helps the team make the named decision beyond its existing reports.
- Customer custody, access and revocation controls are checked for this deployment.
- Any outcome claim records its baseline, period, scope and limitations.
- Uncertain and unauthorized actions remain held; named-owner review, timeout behavior and authorized resumption are demonstrated before go-live.
Independent HiveSilo use-case page. ShowingTime is identified to explain the workflow; no endorsement, certification or partnership is implied.
Make your next conversation count.
Contact HiveSilo