Leads arriving unscored and going straight to the sales team without qualification. RFQs sitting unrouted for 48 hours because no one built a triage system. No way to predict which contracts are up for renewal before the client has already decided. ICP prospecting done manually on LinkedIn every Monday morning. MercuryMinds builds the B2B growth ops layer — the AI systems between your CRM and your sales team that score, route, qualify and predict, so your sales team focuses on the relationships that are ready to close.
The Problem
"We have an RFQ form on our B2B platform. Requests come in, sit in a shared inbox, and get picked up when someone checks. No scoring, no routing, no auto-response. A Fortune 500 procurement team submitting a £400k RFQ gets the same response time as a one-person startup. We know this is wrong. We've never built anything to fix it."
B2B growth ops failures happen in the gap between inbound interest and sales conversation. A lead arrives in the CRM unsegmented — no score, no routing, no qualification. An RFQ lands in the inbox without a system to determine priority, route it to the right team and trigger an appropriate auto-response. A contract approaches renewal without anyone having identified it as a renewal risk or an upsell opportunity. These are all systems problems — solved by building the right automation layer, not by hiring more sales coordinators.
MercuryMinds builds the B2B growth ops infrastructure that fills this gap — scoring leads before they reach sales, routing and responding to RFQs automatically, extracting contract data and predicting renewal risk, and running ICP prospecting as a continuous system rather than a Monday morning manual task.
Where B2B Pipeline Leaks
Leads reaching sales without scoring or segmentation
Sales teams spend time on unqualified leads and miss high-intent ones. Without a scoring layer, every inbound contact gets the same priority — which means high-value prospects wait as long as low-value ones, and the sales team has no signal for where to focus first.
RFQs unrouted and unacknowledged for 24–48 hours
B2B buyers submitting RFQs expect an acknowledgement within hours and a substantive response within 24 hours. A 48-hour silence is interpreted as disorganisation or low interest — and high-value prospects don't wait. Automated RFQ routing and immediate acknowledgement keeps the conversation open while the team prepares the response.
Contract renewals discovered at expiry not at risk
The window to influence a B2B contract renewal is 90–120 days before expiry. By the time a renewal is flagged at 30 days, the alternative evaluation is often already underway. Renewal prediction 90–120 days out gives the account team time to demonstrate value before the client has started looking elsewhere.
ICP prospecting manual and inconsistently executed
Manual ICP prospecting on LinkedIn depends on one person's time and consistency. An automated ICP prospecting system runs continuously — identifying new companies entering the ICP definition, flagging trigger events (funding rounds, headcount growth, technology stack changes) and feeding qualified prospects into the top of the pipeline without manual intervention.
What We Build
Every system below is a live production deployment for B2B ecommerce operators and B2B platforms. Built to sit between your CRM and your sales team — not as standalone tools, but as an integrated growth ops layer.
Composite lead score built from firmographic fit (company size, sector, geography, estimated revenue — how closely does the lead match your ICP?), behavioural intent signals (pages visited, content downloaded, pricing page views, return visits), and engagement depth (time on site, form completion rate, email response rate). Score calculated automatically for every inbound lead and written to your CRM before the lead is assigned to a sales rep. Routing rules trigger from score tier: hot leads go to senior reps immediately, warm leads enter a nurture sequence, cold leads are tagged for later.
→ ICP fit + intent score · CRM integration · score-triggered routing
Automated RFQ handling from submission to routing — immediate acknowledgement email sent on submission (with expected response timeframe), RFQ classified by product category, order size and urgency signals, routed to the appropriate sales team or specialist, and a CRM opportunity record created automatically. High-value RFQs (above configurable order size threshold) escalated with immediate notification to senior account management. Response time from submission to first human contact reduced from 24–48 hours to under 2 hours for high-priority RFQs.
→ Immediate acknowledgement · classification + routing · CRM opportunity creation
Continuous ICP prospecting infrastructure — monitoring LinkedIn, industry databases (Kompass, D&B, Companies House), funding announcement feeds and technology stack databases (BuiltWith, Clearbit) for companies entering your ICP definition. Trigger events flagged automatically: new funding rounds (budget increase signal), rapid headcount growth (scaling operations signal), technology stack additions (compatibility signal), and executive changes (new decision-makers who may review existing vendor relationships). Qualified prospects enriched with contact data and delivered to your CRM as pre-scored leads.
→ Continuous ICP monitoring · trigger events · enriched to CRM
AI extraction of structured data from unstructured contract documents — pulling contract start date, end date, renewal notice period, contract value, auto-renewal clauses, pricing escalation terms, volume commitments and key contact names from PDFs and Word documents into a structured database. Replaces manual contract data entry and creates a queryable contract intelligence layer — enabling the renewal risk prediction and upsell identification systems to run from reliable, complete contract data.
→ PDF/DOCX extraction · structured contract database · queryable terms
Renewal risk scoring model combining contract data (days to renewal, notice period, auto-renewal clause status) with relationship signals (CRM engagement frequency, support ticket history, product usage data where available, NPS scores). High-risk contracts flagged 90–120 days before renewal — time for the account team to intervene before the client has started evaluating alternatives. Renewal probability score updated as new signals arrive. Account team briefed on renewal risk ranking before quarterly review cycles.
→ 90–120 day early warning · risk-ranked account list · signals-updated
Segmentation of your B2B customer base by value, behaviour and churn risk — identifying your highest LTV customer cohorts (by sector, company size, product mix, usage pattern), your at-risk cohorts (declining order frequency, reducing order size, increasing support ticket rate) and your highest upsell potential cohorts (strong engagement, growing company, using a subset of available product range). LTV model built from historical transaction data and updated quarterly as new data arrives.
→ LTV cohort model · at-risk segmentation · upsell opportunity identification
Score-differentiated email sequences for B2B lead nurture — high-intent leads receive case study and ROI-focused content sequences, mid-intent leads receive educational and comparison content, low-intent leads receive long-nurture sequences triggered by re-engagement signals. All sequences sent from the assigned rep's inbox (not a generic marketing address), personalised at company and role level. Re-engagement sequences triggered automatically when a previously cold lead returns to the website or engages with content.
→ Score-tiered sequences · rep-inbox delivery · re-engagement triggers
Structured LinkedIn outreach for B2B prospecting — connection request with contextually relevant personalisation, acceptance follow-up with value-relevant content, content sharing sequence (case studies, industry insights, product announcements), and direct conversation request at appropriate engagement point. Coordinated with email outreach so LinkedIn and email touches are sequenced, not simultaneous. Suitable for senior ICP roles where LinkedIn response rates exceed cold email and where the buying relationship benefits from a visible personal connection.
→ Sequenced LinkedIn + email · senior ICP targeting · coordination layer
Unified B2B pipeline intelligence dashboard for sales and account management leadership — live pipeline by score tier, RFQ response time tracking, conversion rates by lead source and ICP segment, renewal risk rankings, contract value at risk in the next 90 days, and upsell opportunity value by account segment. Data pulled from CRM, RFQ system and contract database in real time. Replaces manual reporting from multiple systems with a single queryable view of the B2B pipeline health.
→ Live pipeline view · renewal risk · RFQ tracking · upsell opportunity
Yes. B2B lead scoring automation builds a composite score from two dimensions: ICP fit (how closely does the lead's company match your ideal customer profile — sector, company size, geography, estimated revenue, technology stack) and intent signals (what behaviour has the lead exhibited — pages visited, content downloaded, pricing page views, return visit frequency, email engagement, form completion). ICP fit data comes from enrichment tools (Clearbit, Apollo, LinkedIn data) appended to the CRM record at the point of lead creation. Intent signals come from your website analytics platform (GA4, Segment, or similar) and your email marketing platform. The composite score is calculated automatically when a new lead enters the CRM, before it is assigned to a sales rep. Score tiers trigger different routing and outreach rules — a high-fit, high-intent lead goes to a senior sales rep immediately; a low-fit, low-intent lead enters a long-nurture sequence without consuming sales capacity. MercuryMinds builds the scoring model, connects the data sources and integrates the routing logic with your CRM — whether that's Salesforce, HubSpot, Pipedrive or a custom system.
An RFQ auto-responder is an automated system that handles the first-response stage of a B2B request-for-quote process — acknowledging the submission immediately, classifying the RFQ by category and value, routing it to the appropriate team or individual, creating a CRM opportunity record, and sending an acknowledgement to the submitter with an expected response timeframe. The auto-responder ensures that every RFQ gets an immediate response (preventing the silence that signals disorganisation or low interest to a buyer) and reaches the right person in the right team without manual triage. For high-value RFQs above a configurable threshold, the auto-responder triggers an immediate escalation notification to senior account management rather than following the standard routing flow. The classification logic can be configured to identify priority signals in the RFQ text itself — specific product categories, order volumes, delivery timeframes or customer types that indicate a high-priority request regardless of the submitting company's standard score tier.
ICP prospecting for B2B ecommerce starts with defining the Ideal Customer Profile precisely — the specific combination of industry, company size, revenue range, geography, technology stack, business model and buying behaviour that describes your highest-value customers. From this definition, an automated prospecting system monitors data sources for companies that match: LinkedIn company search filters updated continuously, industry database additions (Kompass, D&B, Companies House new registrations and growth signals), funding announcement feeds (a Series B funding round is a strong signal of scaling operations and new vendor evaluation), technology stack databases (a company adopting the ERP or ecommerce platform that your product integrates with), and competitor customer lists where available. Companies entering the ICP definition are flagged automatically with the matching criteria and trigger event noted. Contact-level enrichment (decision-maker name, job title, email, LinkedIn URL) is added from Apollo or similar, and the enriched prospect record is created in your CRM as a pre-scored lead. The system runs continuously — new prospects arrive in the pipeline without requiring a manual research session each week.
Related E-Commerce Services
Ready to Stop Leaking B2B Pipeline?
Tell us your CRM platform, your monthly inbound lead volume, whether you handle RFQs, how many active contracts you manage, what your current ICP prospecting process looks like, and which of the 9 use cases represents the biggest immediate gap. We'll scope the right starting point.