Buyer wants to know the payback period. Your site shows a 20-field form. They close the tab
Energy equipment buyers — homeowners, facility managers — research for weeks before contacting anyone. They want one thing before committing: "What will it cost and when will it pay back?" Companies that answer that question online capture the lead. Everyone else gets a callback that never comes.
87%
Visitors bounce from long quote forms without submitting
78%
Of energy sales go to the first company that gives a real number
5 min
Consumption to proposal with ROI — no form, no callback
Most energy leads never become proposals. Out of 500 monthly "want a quote" inquiries:
500
MONTHLY "WANT A QUOTE" INQUIRIES
65
435 BOUNCED — FORM TOO LONG (87%)
FILLED FORM OR CALLED
22
43 CALLED COMPETITOR — FASTER RESPONSE
AWAITING PROPOSAL
7
15 STILL WAITING
PROPOSALS SENT
End-to-end conversion
1.4%
MOST LOST BEFORE PROPOSAL — FORM TOO LONG OR COMPETITOR FASTER
What happens when the buyer gets a real number before they leave your site
Same visitor. Same budget. Now they stay — and you capture a qualified lead:
Answer before they leave
Consumption, area, region. Configurator delivers system + ROI + payback. Client gets answer now — you capture the lead.
Beat the competitor
Proposal in one session. No "we'll get back to you next week." Speed wins. First credible proposal gets the deal.
Right system, right sizing
Matched to consumption and site. No oversell, no undersell. Happy client, fewer warranty issues.
Compliance built in
Grid and regulatory rules checked during qualification. Audit trail for procurement. No surprises at installation.
How others solve it vs. us
You have the products. The pain is qualifying the buyer and giving them a number before they leave
First energy company to give a real number wins 78% of sales. Leads contacted within 5 minutes are 21× more likely to qualify. Average industry response time: 38–47 hours.
Generic ROI calculators on the website
Ballpark estimates, not a real proposal. Buyer gets a number but no system spec, no compliance check, no next step. Doesn't capture a qualified lead.
Full proposal: system spec, ROI, payback, compliance check. Conversation-based. One session from consumption to qualified lead in CRM.
Engineering design tools (for internal use)
Built for designers, not for buyers. Client doesn't interact with them. Doesn't solve the first-touch qualification problem.
We qualify and propose at first touch. Design tools come in after the lead is captured and the deal is moving.
20-field quote request forms
87% of visitors bounce without submitting. Competitor with a configurator gets the lead.
Conversation. Consumption, area, region. Proposal in one session. No form abandonment.
"Request a site visit" as first step
Buyer isn't ready for a commitment. They want a number first. They leave.
Proposal before site visit. Qualify in conversation. Visit only when the deal is already warm.
See consumption-to-proposal in action
Buyer describes usage and site. Configurator returns system, ROI, and payback. Demo run time: ~2 minutes.
Form abandonment
87%
0 min proposal
First credible number
38–47h
same session
Site visit to qualify
required
0
Industry benchmarks; your results depend on product line and region rules.
ROICalc
Get your ROI estimate
See payback for your quote volume. How many leads you lose today, and what changes when the configurator handles first touch.
Loading ROI calculator
What does AI CPQ cost?
Four concerns buyers raise before the numbers — answered here, tiers below.
Too expensive?
One full-time quote specialist ≈ $60,000–90,000/year loaded. Talkulate: implementation + monthly — break-even in a handful of deals you lose to speed or wrong-fit quotes.
Catalog not ready?
Phase 1 includes database construction and population. Data structuring is our job, not yours.
5–10 days too long?
5 days with a clean catalog export. Larger catalogs with CRM integrations: timeline after a free data audit.
Already have CPQ?
Talkulate sits upstream of CPQ — buyer discovery and validation before your rep opens the catalog. We do not replace approval workflows. Compare with incumbent CPQ vendors
Close 3× more deals 10× faster
Turn complex product configuration into a 15-minute guided flow that generates qualified quotes automatically.
~5–10
closed deals to break even
3–5×
conversion rate lift
80%
less presales workload
minutes
RFQ turnaround, not days
Run the ROI calculator — plug in deal size and presales load to see whether the numbers work for you (same page, below).
AI-guided product selection
24/7, no waiting days for a callback
Built-in configuration logic
zero config errors from oversight
Instant quote & PDF generation
close while buyer intent is hot
CRM / website integration
qualified leads sync to your pipeline
White-label customer experience
native on your site, not a third-party widget
Standard Deployment
Cloud deployment. Most common path for rapid market entry.
$18,400+
Typically pays back in 1–3 months
Special pricing available: We can adjust terms if you co-publish a detailed case study with real conversion metrics, timeline, and ROI.
Phase 1: Implementation
Direct website integration (Chat or API)
Business logic customization
System calibration
Database construction & population services
Then: Monthly Infrastructure
$1,725+/month
Managed cloud hosting
Updates & maintenance included
Scales with request volume
Enterprise On-Premise
One-time license
On request
For strict data sovereignty requirements. Full control, deployed on your infrastructure.
Detailed pricing. Full line-item breakdown for Standard and On-Premise. View full breakdown →
Thinking it’s pricey?
One presales engineer costs more per year. AI CPQ cost less.
Don’t need everything?
We’ll map the minimum viable implementation and price it accordingly.
FAQ
Common questions for this industry. The full product FAQ covers implementation, security, and pricing in depth.
The proposal still needs a site visit to be accurate. How does this work without one?+−
The configurator produces a qualified pre-proposal: system size range, ROI estimate, payback period — based on consumption, roof area, and region. It's accurate enough to start the conversation and win the lead. The site visit refines the final design. You stop losing leads to competitors who give a number first; the site visit closes the deal.
What about regional grid rules and compliance requirements?+−
You load your compliance rules into the configurator: net metering policies, feed-in tariff eligibility, grid connection requirements by region. The configurator checks these during qualification and flags any issues before the proposal goes out.
Can it handle both solar and heat pump / HVAC in one conversation?+−
Yes, if you offer both. Client describes their situation; configurator qualifies for the relevant system (or combination). You define what you offer and the configurator stays within your catalog.
What if the client's consumption data is inaccurate or estimated?+−
The configurator asks for the best available data (last 12 months' bills, estimated monthly kWh, or annual spend). It produces a range rather than a single number when data is uncertain, and flags that the site visit will refine the estimate. Honest output builds more trust than a precise number that turns out to be wrong.
Does it replace engineering design tools for system layout?+−
No. Engineering design tools handle detailed system layout — they come in after the lead is qualified. The configurator handles first-touch qualification and pre-proposal, before the buyer commits to a site visit. Two different stages, two different tools.
Can the end buyer use it directly on our website?+−
Yes. That's the primary use case. Visitor lands on your site, uses the configurator, gets a proposal. You capture a qualified lead with consumption data, system size, and contact details — without a discovery call.
How does it integrate with our CRM or lead management system?+−
Via API or embedded widget. Lead data (consumption, system size, contact details, proposal output) is pushed to your CRM automatically. Integration options and technical specs are covered on the demo call.
Why teams trust R[AI]SING SUN
We work with regulated data: medical records, claims, customer information. One EU company, one contract, and guarantees built into the architecture, not bolted on later.
Your data
Encrypted end to end
Encrypted at rest and in transit, at all times. The same protection level banks use.
Never used for training
Your data never trains anyone's models. What you share stays exclusively yours.
Compliance
GDPR and CCPA aligned
Built for EU and US privacy law. Your data won't leak, and you won't explain anything to regulators.
HIPAA-ready, EU AI Act mapped
Access controls, encryption, and a full audit trail for regulated health and high-risk AI.
Where it runs
EU or US hosting
You pick the region. We deploy there.
On-premise option
Run it entirely on your own infrastructure. No data leaves your network.
Explore other industries
Ready to see it in action?
30-minute demo. We show the configurator in action — consumption to proposal with ROI and payback. No pitch, no long deck.
What happens on the call
We show the configurator in action (use-case-first, one entry, validated output)
We walk through your flow and integration options (chat widget, API, or embedded)
We answer your questions and next steps if it is a fit
What you will not get
A generic demo deck or a forced enterprise upsell.