Lead Scoring

Client Background:
A mid-market B2B SaaS platform based in Austin, Texas, providing project management tools to the construction and engineering sector. The company had grown its marketing function to generate approximately 3,500 MQLs per month but was struggling with a 12% MQL-to-SQL conversion rate — far below the industry benchmark for software platforms targeting mid-size enterprises.

Challenge:
The company’s existing lead scoring model was purely rule-based, assigning fixed points to job titles, email opens, and single form submissions. Sales reps were spending 60–70% of their outreach time on leads with minimal conversion potential, resulting in high SDR burnout, long sales cycles, and missed revenue targets for three consecutive quarters. The marketing-sales alignment was deteriorating, with the sales team dismissing marketing-qualified leads as low quality.

Solution:
Hir Infotech’s data intelligence team performed a complete audit of 24 months of historical CRM data, mapping 47 behavioral, firmographic, and technographic attributes against closed-won outcomes. We designed a predictive AI scoring model that weighted intent signals — including multiple visits to pricing and integration pages, demo scheduling behavior, and multi-stakeholder account engagement — significantly higher than passive content consumption. The model was integrated directly into Salesforce via API, displaying real-time scores and behavioral summaries on each lead record.

Results:
Within 90 days, MQL-to-SQL conversion rate rose from 12% to 36%. SDR productivity increased by 42% as reps focused exclusively on top-tier scored accounts. Sales cycle duration dropped by 23 days on average. Monthly pipeline contribution from marketing increased by $1.4M.

Client Testimonial:
“Hir Infotech didn’t just give us a scoring model — they gave us a shared revenue language between sales and marketing. Our SDRs now trust the leads they receive, and that trust alone has transformed our pipeline culture.”
— VP of Revenue Operations, B2B SaaS Platform, Austin, TX

Client Background:
A Frankfurt-based B2B fintech company offering regulatory compliance and treasury management software to mid-size and large European banks, asset managers, and insurance firms across Germany, Austria, Switzerland, and the Netherlands. With a complex enterprise sales cycle averaging 9–14 months, the company needed to ensure its small but highly specialized sales team was spending time only on accounts with genuine buying intent.

Challenge:
The existing marketing automation setup was generating weekly lead lists from webinar registrations, whitepaper downloads, and trade show badge scans — but with no scoring or prioritization logic, all contacts received identical outreach sequences regardless of their actual seniority, account fit, or behavior. SDRs reported that over 55% of their weekly outreach calls went to contacts who were either junior researchers with no buying authority or companies outside the product’s target revenue range.

Solution:
Hir Infotech built a GDPR-compliant account-based scoring model integrating firmographic enrichment (company revenue, regulatory classification, technology stack), behavioral data from HubSpot, and third-party intent signals from financial regulatory content platforms. The model scored at the account level — aggregating signals across all contacts within a target organization — and surfaced buying-committee completeness as a key scoring dimension, alerting SDRs when three or more senior stakeholders within one account were simultaneously engaging with the platform’s content.

Results:
Wasted outreach dropped by 55% in the first quarter post-deployment. Account engagement rate on outbound sequences increased by 67%. Three accounts that had been deprioritized by the previous model were re-ranked to top-tier status and converted to €280,000+ contracts within four months. The sales team reported a measurable improvement in pipeline confidence and forecast accuracy.

Client Testimonial:
“In a regulated, relationship-driven market like European fintech, reaching the right person at exactly the right moment is everything. Hir Infotech’s scoring model gave us that precision — while keeping us fully GDPR-compliant.”
— Chief Revenue Officer, FinTech Software Firm, Frankfurt, Germany

Client Background:
A Sydney-based healthcare technology company offering AI-powered clinical documentation and patient workflow solutions to hospital networks, private health groups, and aged care providers across Australia and New Zealand. The company’s enterprise sales cycle involved clinical informatics leads, procurement managers, and C-suite healthcare executives — a complex buying committee with long evaluation timelines.

Challenge:
The company’s marketing team was generating 800–1,200 leads per month from content marketing, conference participation, and LinkedIn campaigns. However, without a meaningful scoring framework, all leads entered the same nurture sequence. Sales reps were allocating equal time to early-stage researchers and near-decision procurement teams — resulting in missed follow-up windows on high-intent accounts and excessive resource spend on prospects still six to twelve months away from evaluating vendors.

Solution:
Hir Infotech designed a behavioral scoring model specifically calibrated to healthcare B2B buying patterns in Australia, assigning highest scores to late-stage intent actions: downloading compliance documentation relevant to the Australian Digital Health Agency framework, attending live ROI and clinical outcome webinars, requesting pricing, and engaging multiple department stakeholders within a 14-day window. The model was integrated with HubSpot and Salesforce Health Cloud, with custom score alert thresholds triggering immediate SDR notifications when key accounts crossed high-intent benchmarks.

Results:
Demo booking rate from scored top-tier leads increased by 58%. Sales cycle for enterprise contracts reduced by an average of 31 days. Marketing and sales alignment score (measured via internal NPS survey) increased from 54 to 81. The company closed two new hospital network contracts within 60 days of deployment, representing combined contract value exceeding AUD $920,000.

Client Testimonial:
“Our sales team had always known that some leads were ‘hot’ — but we could never prove it systematically. Hir Infotech gave us the data framework to act on what our instincts were already telling us, with measurable results.”
— Head of Sales Enablement, HealthTech Company, Sydney, Australia

Client Background:
A Lyon-based industrial equipment manufacturer supplying specialist machinery components to automotive, aerospace, and energy sector companies across France, Germany, Spain, and Italy. The company had a field sales team of 18 representatives responsible for managing distributor relationships and identifying new accounts.

Challenge:
Lead generation relied on trade show contacts and inbound enquiry forms, with no systematic way to rank which distributors were actively in-market. Field sales representatives were spending significant time visiting low-priority accounts, while high-potential distributors in Germany and Spain were receiving delayed follow-up — and in several cases, were lost to competitors that engaged more quickly.

Solution:
Hir Infotech built an intent-based lead scoring system that integrated data from European industrial directories, trade association membership databases, product catalogue engagement tracking, and firmographic enrichment covering company size, machinery fleet age, and sector classification. A GDPR-compliant data pipeline aggregated these signals into a single Salesforce-integrated score, ranking all active and prospective distributor accounts by acquisition priority on a weekly refresh cycle.

Results:
Field sales call efficiency improved by 38% in the first six months, as reps focused visits on top-quartile scored accounts. New distributor acquisition rate increased by 29% year-over-year. The company identified and engaged seven high-value German distributors that had not previously been in the active pipeline — collectively generating €640,000 in new annual contract value within the first year of deployment.

Client Testimonial:
“We had excellent products and a talented sales team — what we lacked was the intelligence to direct them precisely. Hir Infotech solved that problem, and the business results have been significant and fast.”
— Sales Director, Industrial Equipment Manufacturer, Lyon, France

Client Background:
A London-based B2B e-commerce platform connecting wholesale suppliers with retail buyers across the UK, Ireland, and Spain. The platform onboarded 200–350 new supplier and buyer registrations weekly but had no qualification scoring to distinguish high-volume transactional buyers from one-time samplers.

Challenge:
The platform’s account management team was overwhelmed by the volume of new registrations, applying identical onboarding sequences and outreach cadences to all new accounts regardless of potential order value or engagement depth. High-value retail chains and multi-location buyers — representing the top 15% of potential platform revenue — were receiving the same attention as single-location boutique buyers with minimal reorder potential.

Solution:
Hir Infotech engineered a real-time behavioral scoring model for the platform, combining account registration data, product category browsing patterns, catalogue page depth, sample order history, and firmographic enrichment (buyer company type, number of locations, annual purchasing category spend). Scores were updated in real time as buyer behavior evolved on the platform, with high-score threshold alerts automatically routing accounts to dedicated senior account managers for personalized engagement. UK GDPR compliance was maintained throughout all data processing workflows.

Results:
Senior account manager time allocation to top-quartile buyers increased by 71%. Average order value for scored, prioritized accounts was 2.4x higher than the platform baseline. Buyer-to-repeat-purchaser conversion rate increased from 22% to 41%. Annual recurring platform revenue attributed to top-scored account segment grew by 34% within eight months.

Client Testimonial:
“The scoring model transformed how we think about our buyer base. We stopped treating all registrations as equal, started investing our best resources where they could generate the most return, and the numbers prove it worked.”
— Chief Commercial Officer, B2B Wholesale E-Commerce Platform, London, UK

Client Background:
A Chicago-based management consulting firm specializing in digital transformation and enterprise technology strategy for Fortune 1000 clients across the USA and Canada. With annual contract values ranging from $250,000 to $2M+, the firm needed to ensure its business development partners were investing time exclusively in the highest-probability new client opportunities.

Challenge:
Inbound lead volume from the firm’s thought leadership content, webinar series, and event presence had grown significantly — generating 400–600 new contacts per quarter. However, without a formal scoring system, business development partners were manually reviewing every contact to assess fit — a time-consuming process that led to inconsistent qualification standards and missed follow-up timelines on genuinely high-priority prospects.

Solution:
Hir Infotech built a multi-attribute lead scoring model integrating CRM data from Salesforce, behavioral data from HubSpot, and third-party firmographic enrichment covering company revenue, technology investment profile, recent digital transformation announcements, and executive leadership change signals. The model assigned highest scores to contacts at Fortune 500 and large mid-market companies who had engaged with high-intent content (ROI calculators, transformation frameworks, case study libraries) and exhibited multi-stakeholder engagement within the same account.

Results:
Business development partner qualification time reduced by 48%. Proposal conversion rate (scored leads to proposal submissions) increased from 19% to 37%. Average deal size for engagements sourced from scored, prioritized leads was 31% higher than the firm’s historical average. New engagement revenue from scored pipeline increased by $3.2M in the first contract year.

Client Testimonial:
“Hir Infotech gave us a rigorous, data-backed process for something we had always done on instinct. The quality of conversations our partners are now having — and the deals they are closing — is demonstrably better.”
— Managing Partner, Strategy & Digital Transformation Consulting, Chicago, IL

Client Background:
An Amsterdam-headquartered MarTech SaaS company with offices in New York and Sydney, offering marketing intelligence and campaign attribution software to enterprise marketing teams in Europe, North America, and Australia. The company’s go-to-market motion combined outbound prospecting, content marketing, and a high-velocity inbound trial funnel generating 1,500–2,500 trial sign-ups monthly across three regions.

Challenge:
Trial-to-paid conversion rates varied significantly by region — 8% in Europe, 14% in the USA, and 11% in Australia — with no consistent scoring framework to identify which trial users were most likely to convert to paid subscriptions. The sales team in each region was applying different qualification criteria, creating inconsistency in follow-up quality and speed-to-contact for high-intent users.

Solution:
Hir Infotech designed a unified global lead scoring architecture with region-specific calibration for the EU (GDPR-compliant, Netherlands and EDPB-aligned), USA (CCPA-compliant), and Australia. The model scored trial users across in-app behavioral signals (feature adoption depth, integration setup completion, team invitation actions), firmographic fit, and engagement with upgrade-relevant content. Scores were delivered in real time to Salesforce across all three regional instances, with region-specific scoring thresholds aligned to each market’s historical conversion patterns.

Results:
Trial-to-paid conversion rates increased to 21% (Europe), 29% (USA), and 24% (Australia) within six months. Cross-regional pipeline visibility improved substantially, enabling the CMO to make informed decisions about marketing investment allocation by region. Annual recurring revenue from inbound trial pipeline grew by 41% year-over-year.

Client Testimonial:
“What impressed us most was Hir Infotech’s ability to build one scoring framework that respected three different regulatory environments and three different buyer behaviors — without sacrificing consistency or speed.”
— CMO, MarTech SaaS Company, Amsterdam, Netherlands