One question at a time feels friendlier — but the intelligence is zero. Fixed order, no adaptation, dumb output.
Intelligent inbound that compounds.
Most tools treat qualification as a transaction. Prospect gives data, you give content — done. DemandSpark is a different object entirely. The assessment runs itself. The result belongs to the prospect and keeps working for you. Every interaction sharpens the qualification picture. The asset never goes cold.
to you
You're closer to scale than your pipeline suggests.
Demand is real. Inbound is healthy and qualified — the constraint is downstream.
Fix conversion first. Hand-offs leak between MQL and proposal — your biggest single lever.
It sits in the gap between better UX with zero intelligence and scored output that's mechanical and rigid — the conversion mechanic of scorecard marketing, with genuine reasoning.
Every lead-gen tool fails in the same place.
They collect. They don't reason. The experience ends at submission and you're left interpreting data instead of acting on intelligence.
Scorecard marketing is a genuinely smart idea. But the scoring is arithmetic on a fixed rubric and the tree is rigid and pre-built.
Valuable content, but no qualifying work. It produces an email address — generic by nature, never specific to the individual.
DemandSpark does all three. An agent runs the conversation, composes a result worth sharing, and hands you a lead you can act on the moment it lands.
There's a second failure none of them have solved: every one of these tools treats the asset as disposable. The prospect submits, the experience ends, and the marketer is left chasing a cold lead. DemandSpark is built around a different model — the assessment is the start of an ongoing relationship, not the end of a transaction. The result lives at a URL. The agent continues working. Qualification deepens with every subsequent interaction, automatically, until the prospect is ready to buy.
Build it once. The agent runs it forever.
No question-tree design. No form builder. No rigid rubric construction. You define the goal — DemandSpark composes the experience.
Build
Define the outcome, the topic set, and the result type. DemandSpark composes the conversation from your goals — what gets captured, what the experience should produce.
Deploy
Publish to a branded URL. Share it over email, LinkedIn, and paid campaigns, or embed it in a page you already have. Your brand, never ours.
Receive
Leads arrive enriched, scored, and tagged — pushed to your CRM automatically. The dashboard shows completion, score distribution, and drop-off.
Agent-driven conversation
Not a fixed question tree. The agent has an outcome schema to fill and a topic set to cover — it decides sequence, depth, and mode based on what it learns.
- Skips irrelevant areas, probes ambiguity
- Structure stays visible the whole way
- Switches input modes seamlessly
A result worth receiving
When the conversation completes, the prospect gets a living web experience — composed in real time, visually considered, and genuinely specific to them.
- Specific, not assembled from buckets
- Interrogable — they can ask it why
- Lives at a URL — revisit, share, update
Enriched pipeline intelligence
Every completed experience returns as a qualified lead — reasoned, summarised, and tagged. Pushed straight to your CRM, ready to act on.
- Reasoned score — intent, fit, readiness
- Full context summary + segment tags
- Recommended next action
The intelligence doesn't stop at the assessment.
DemandSpark keeps working after every prospect completes a spark — matching content, sharpening audiences, and surfacing where demand is forming.
Content intelligence
Available on Ignite and EmberThe platform monitors your published content — blog, podcast, LinkedIn, YouTube — and matches new pieces to specific prospects based on what their assessment revealed. Not broadcast. Not a drip sequence. Contextual matching grounded in what the agent already knows about each person.
Paid media intelligence
Available on Ignite and EmberYour highest-scoring prospects define your ICP. DemandSpark turns that into actionable targeting briefs for Meta, LinkedIn, and Google — audience parameters, suppression signals, and creative hooks written in the language your best prospects use in their own assessments.
Emerging demand signals
Available on EmberBefore prospects find you, conversations about the problems you solve are already happening. DemandSpark monitors rising search queries, LinkedIn threads, podcast topic frequency, and Reddit discussions — scoped to your offer — and surfaces spark opportunities before competitors notice the signal.
The longer you use the platform and the more content you publish, the smarter the matching gets. That's a switching cost that builds itself.
A conversation that's paying attention.
Topic-bounded and adaptive. The prospect always knows where they are; the agent always knows where it's going. The path is intelligent — the arc is clear.
Adaptive, never rigid
The agent decides the sequence and depth of what it asks. It validates in real time, probes where answers are vague, and skips what doesn't apply.
The right input, every time
Date pickers, option sets, or natural language — the agent chooses the mode that fits the question. Mode-switching is seamless to the prospect.
Bounded by design
The agent operates inside defined topics and a defined outcome schema. It can't go off-topic — which is exactly what makes the output consistent and trustworthy.
Same intent. Genuinely different intelligence.
DemandSpark occupies the same lane as scorecard lead-gen — and delivers it with real reasoning instead of mechanical scoring.
| Capability | Typeform | ScoreApp | DemandSpark |
|---|---|---|---|
| Adaptive conversation path | — | — | Yes |
| Reasoned lead scoring | — | Mechanical | Reasoned |
| Personalised result experience | — | Templated | Composed live |
| Interrogable result | — | — | Yes |
| Living result (persists & updates) | — | — | Yes |
| Enriched CRM pipeline | Basic | Basic | Reasoned |
| Qualification lifecycle after submission | — | — | Yes |
| Content matched to individual prospects | — | — | Yes |
| Paid media audience briefs from assessment data | — | — | Yes |
| Custom branding on all paid plans | Yes | Business+ only | Always |
Priced for pipeline, not for features.
Every paid tier connects to the same CRM suite. Higher tiers get richer data exchange — integration depth is the gate, not access.
- Includes
- Up to 2 active experiences
- 250 leads per month
- Reasoned scoring & context summary
- Custom branding — no DemandSpark badge
- HubSpot & Mailchimp integration
- Email support
- Everything in Spark, plus
- Unlimited active experiences
- 1,500 leads per month
- Advanced scoring, segmentation & tags
- Full CRM integration suite
- Interrogable result experiences
- Multi-user (5 seats) + analytics dashboard
- Priority support
- Everything in Ignite, plus
- Unlimited leads
- Content graph integration — agent matches your published content to specific prospects
- Agent-driven lifecycle: contextual re-engagement, multi-touch qualification
- White-label for client delivery
- Unlimited seats
- Custom onboarding + dedicated success contact
- SLA support
All prices GBP per month. Annual billing available. 14-day free trial at Ignite — no card required.
That's the whole goal of the trial. Not feature exploration — a real result, a real lead, and the moment you see why the output is the product.