Start Optimising For Sales in Real Time

No manual effort required.

RubyLeads© feeds real sales signals back into Google Ads and Meta in real time. MQL, SQL, and revenue data train their AI to find actual customers, not form fillers. Real-time feedback, proven inside a performance agency.

Start Generating High-Value Leads

Book a free strategy call and get a tailored lead generation plan for your business.

Close the Lead-Quality Loop

Connect sales outcomes back to marketing platforms so optimisation is driven by qualification — not noise.

Real-Time Algorithm Learning

Feed Google Ads and Meta real-time lead quality signals so bidding models learn faster and optimise more accurately.

Reduce Wasted Ad Spend

Stop paying for leads that never convert by teaching platforms what bad leads look like too.

Align Marketing & Sales

Create a shared source of truth for lead quality, pipeline progression, and revenue contribution.

Real-time feedback loop means faster algorithm learning

RubyLeads© sends qualified lead signals back to your paid campaigns the moment your sales team qualifies a lead. That means optimization happens continuously, not in monthly batches. Teams replacing manual end-of-month manual process typically see faster learning cycles and more stable CAC.

Why RubyLeads© Works

RubyLeads© works because it closes the feedback loop between sales and advertising platforms. By capturing lead qualification stages and values, and feeding that data back into Google Ads and Meta, it helps train algorithms on what a good lead looks like. This allows campaigns to optimise toward qualified opportunities and revenue resulting in better lead quality, more efficient spend, and more predictable growth

Who RubyLeads© is for:

RubyLeads© is built for B2B and B2C teams who generate leads and need a clearer link between marketing spend and real sales outcomes. It’s ideal for marketing leaders, performance managers and sales managers who want better lead quality, clearer pipeline visibility, and stronger alignment between marketing and sales

Use Cases

Founders

RubyLeads© helps founders understand which marketing spend actually turns into revenue. By connecting lead quality and sales outcomes back to advertising platforms, it provides clearer visibility into growth efficiency, reduces wasted spend, and supports more predictable, scalable decisionmaking.

Marketing Leaders

RubyLeads© enables marketing leaders to optimise campaigns for qualified leads and revenue, not just form fills. By feeding sales qualification data back into Google Ads and Meta, it improves algorithm learning, lead quality, and overall return on ad spend.

Sales Leaders

RubyLeads© gives sales leaders a clear, structured pipeline and creates accountability around lead followup. By aligning sales qualification stages with marketing performance, it ensures better lead quality, clearer handover, and stronger alignment between sales and marketing teams.

VC / PE-Backed Teams

RubyLeads© supports VC and PEbacked teams by improving acquisition efficiency and revenue attribution. It creates a scalable feedback loop between sales outcomes and marketing platforms, helping portfolio companies reduce CAC, improve signal quality, and build repeatable, performancedriven growth systems.

Challenges We Solve

  • Cannot optimise paid media for genuinely qualified leads
  • CRM feedback loop gaps; weak attribution to revenue
  • Inefficient CAC and inconsistent lead quality
  • Pressure to prove ROI while scaling

Value You'll Get

  • Better qualified leads (higher MQL/SQL share)
  • Lower customer acquisition costs (CAC)
  • Revenue-aligned bidding and clearer tie-back
  • More predictable, scalable pipeline

Why Teams Pick RubyLeads©

  • Faster deployment
  • Qualification-centric design
  • SMB accessible
  • Built by operators who run paid media at scale

How It Works

1. Capture

Website forms collect lead details and passes the information to your CRM.

Rubyleads© connects to your CRM or lead management sheet.

2. Qualify

Sales move leads through clear stages — MQL, SQL, Opportunity, Client — and assign value where relevant.

3. Optimise

RubyLeads sends MQL/SQL leads and revenue signs to Google Ads and Meta in real-time so ad platforms machine learning and AI bid towards qualified clicks immediately.

Integrations

Works with the tools you already use – no rip-and-replace. Don’t see yours? Contact us.

Send qualified lead stages and conversion values back into Google Ads to train bidding algorithms on real sales outcomes, not just form submissions, so campaigns optimise toward high-quality leads.

Feed qualification and revenue signals into Meta so it optimization models learn which leads convert into real opportunities, improving lead quality and reducing wasted spend.

Use HubSpot as your system of record while RubyLeads© captures and structures qualification data, enabling clean feedback loops between sales outcomes and paid media performance.

Pair Zoho’s CRM capabilities with RubyLeads©’ qualification and attribution layer to turn pipeline data into actionable optimisation signals for your marketing platforms.

Extend Salesforce beyond reporting by using RubyLeads© to activate qualification and value data—feeding sales truth back into advertising platforms to improve optimisation efficiency.

Where native integrations don’t exist, RubyLeads© can be customised to connect with your existing systems by mapping available data points and building integrations around the platforms and workflows your business already uses.

Use Cases

RubyLeads© sends qualified signals back to your paid campaigns the moment Sales marks a lead as MQL or SQL. That means optimisation happens continuously, not in monthly batches. Teams replacing manual end-of-month uploads typically see faster learning cycles and more stable CAC.

GOT QUESTIONS
ABOUT US?

FAQ's

What's the fastest way to get started?

RubyLeads(c) is designed to be lightweight and quick to deploy. Once your lead forms are connected and your pipeline stages are defined, you can start capturing and qualifying leads immediately—without a long CRM implementation process.

Monthly offline uploads are delayed and static. RubyLeads(c) creates a continuous feedback loop by sending qualification stages and values back to ad platforms as they happen, allowing algorithms to learn and optimise faster and more accurately.

RubyLeads(c) works best when there’s enough lead activity to generate meaningful learning signals, typically around 20–30 MQLs per month. However, it has proven effective at lower volumes where lead qualification is consistent.

As leads move through your pipeline, RubyLeads(c) shares qualification stages and outcome data with platforms like Google Ads and Meta. This allows campaigns to optimise toward higherquality leads and revenue, rather than simple form submissions.

No. RubyLeads(c) is a lightweight CRM focused on qualification and attribution. It’s designed to complement your existing systems or provide a simpler alternative where full enterprise CRM functionality isn’t required.

RubyLeads(c) has been used in live production environments for several years, helping teams improve lead quality, optimise paid media performance, and better connect marketing activity to real sales outcomes.

RubyLeads(c) supports major advertising platforms such as Google Ads and Meta, and is designed to work across regions while supporting common dataprivacy requirements when implemented correctly.

Make every cent you spend more intelligent

Feed MQL/SQL and revenue signals back to ads and scale what works.