Siggnals vs 4QT: AI Lead Intelligence vs Real Estate Marketing Analytics

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4QT is a proptech analytics platform for Indian real estate developers — built to help marketing teams track campaign performance, attribute leads across channels, and measure cost-per-acquisition more accurately across a fragmented media mix (Google, Meta, portals, offline events). Siggnals comes at the lead-generation problem from a fundamentally different direction: instead of measuring how your campaigns are performing, it replaces the campaign targeting upstream by identifying which individuals are actually ready to buy, before any campaign reaches them. The two products solve different problems, and for many developer marketing setups, they're more complementary than competitive.

What 4QT is built for

4QT's core job is marketing intelligence: giving real estate marketing teams a consolidated view of which campaigns, channels, and spend buckets are generating real leads — not just clicks or form fills. For marketing heads who are accountable for cost-per-qualified-lead across five-plus touchpoints (Instagram, Google, portals, events, broker referrals), a tool that stitches those attribution paths together is genuinely valuable. Real estate CAC has risen 20-30% YoY for many developers, and the inability to attribute correctly across a multi-touch journey makes it nearly impossible to reallocate budget toward what's actually working.

4QT is primarily a measurement and attribution tool — it helps you understand what you've already spent and what it produced.

What Siggnals is built for

Siggnals operates before the campaign runs. Instead of asking "which of my ads generated which leads," it asks "which individuals in this city match the buyer profile for this project, and which of them are financially ready and in the right life stage to purchase in the next 90-180 days?" The answer is a ranked, exclusive list of prospects — delivered before your marketing team has booked a single ad placement.

This inverts the typical campaign flow: instead of broadcasting to a large audience and waiting for qualified buyers to self-select, Siggnals narrows the universe to pre-qualified individuals first. The result is a fundamentally different unit economics: fewer impressions, fewer calls, fewer rupees spent per qualified conversation, because the targeting happens at the individual level rather than the interest-segment level.

Side-by-side

Dimension	Siggnals	4QT
Core function	Pre-campaign buyer identification — who to target	Post-campaign analytics — what your spend produced
Primary user	Sales and marketing teams wanting pre-qualified buyers	Marketing teams needing attribution clarity across channels
Lead type	Proactive — AI-identified, exclusive, pre-qualified	Reactive — tracks and attributes inbound leads from campaigns
Solves for	High CAC, junk leads, shared portal inventory	Attribution confusion, channel ROI visibility, budget reallocation
Output	Ranked buyer list per project	Attribution dashboards, channel performance reports
Works alongside	Any CRM for follow-up and pipeline management	Any ad platform, portal, or CRM — stitches data across them

When you'd use each — and why some teams use both

If your challenge is attribution: you know leads are coming in but can't tell which campaigns, channels, or spend buckets are generating ones that actually convert, 4QT addresses exactly that. It's the tool that lets a Head of Marketing walk into a budget review and say "Instagram generated 40% of our qualified leads but only 15% of our spend — we should shift budget."

If your challenge is lead quality itself: campaigns are running, attribution is clear, but the leads that come in are mostly junk — wrong budget, wrong location, already spoken to five other developers — that's a targeting problem, not an analytics problem. 4QT can tell you which campaign generated the junk; it can't fix the junk. Siggnals addresses that upstream by changing who gets targeted in the first place.

For teams with both challenges, using Siggnals on the direct channel (for pre-qualified outbound) while using 4QT to track and optimize inbound campaign performance is a coherent setup. Siggnals improves the quality of one input; 4QT improves how you measure all the others.

Frequently asked questions

What is 4QT used for in real estate marketing?

4QT is a real estate marketing analytics and attribution platform that helps developers track which campaigns, channels, and spend buckets are generating leads that actually convert — not just leads that come in. It's designed to give Heads of Marketing a clearer picture of cost-per-qualified-lead by source, so budget can be reallocated toward channels with better funnel performance rather than just lower CPL on paper.

What's the difference between 4QT and Siggnals?

4QT measures the performance of your existing lead channels — it tells you which campaigns are working and which aren't. Siggnals generates a new lead channel — pre-qualified buyers who haven't appeared on any portal. If your campaigns are generating junk leads, 4QT will accurately report that the leads are junk; it can't fix the quality. Siggnals addresses the quality problem upstream by identifying buyers through external signals rather than waiting for portal enquiries.

Can better marketing analytics improve real estate conversion rates?

Analytics improves conversion by enabling better budget allocation — identifying which channels produce leads that actually convert and reallocating spend accordingly. But analytics can only optimize within the channels you're already running. If every channel produces low-quality shared leads, more granular measurement won't change the quality of what's coming in. Analytics and sourcing quality are complementary levers, not substitutes.

How do I know if my real estate leads are low quality vs. poorly followed up?

Track both first-call qualification rate (how many leads are legitimate buyers on the first call) and the follow-up completion rate (what percentage of leads in your CRM get called within 24 hours and reached within 48). If the first-call qualification rate is below 40%, that's a sourcing problem. If qualification is fine but deals go cold and aren't followed up consistently, that's an execution problem. Attribution tools like 4QT help identify which sources produce higher qualification rates.

• Attribution is your blocker: 4QT is the right priority.
• Lead quality is your blocker: Siggnals is the right priority — no attribution tool can fix a bad lead.
• Both are broken: fix lead quality first; better measurement of bad leads doesn't improve conversion.