Fixing Lead Conversion, Not Volume
A buyer journey map, lead scoring model, and engagement protocol — delivering a shorter time-to-qualified-meeting.
The challenge
The team thought they had a lead volume problem. They had a qualification and journey-matching problem — and more leads would have made it worse.
Adviser interviews surfaced a consistent finding: approximately 1 in 10 inbound leads was reaching a close. The remaining 9 would arrive, ask questions, receive information, and disappear — sometimes ghosting after multiple follow-up attempts. The team attributed this to client indecision or market conditions. Analysis of the actual buyer journey suggested a different cause: the firm was engaging all leads with the same urgency and format regardless of where they were in their decision process. A Turkish investor in Istanbul in the early research phase — comparing UK property against other markets, asking family, checking currency exposure — was receiving the same closing-intent follow-up as a buyer who had already structured their capital and had a six-month timeline. The mismatch created friction. It also meant advisers were spending equal time on both, consuming 90 hours per month on lead qualification work with a fraction returning revenue. Channel economics compounded this: WhatsApp referral leads were closing at 30–50%; cold-source digital leads at 1–3% — but no systematic channel attribution existed to make that difference visible and act on it.
The system
Decision system built
We mapped the Turkish HNW property buyer journey across five stages — passive awareness, active research, adviser qualification, financial structuring, and transaction — and defined the signal behaviours that indicate stage membership. A lead scoring model was built against seven qualification criteria, each weighted by predictive value for close probability. A 12-stage CRM pipeline was redesigned to track journey stage rather than just transaction progress. Channel attribution was introduced for the first time, enabling cost-per-qualified-lead calculation by source. A tiered engagement protocol was defined: different follow-up cadence, format, and content for early-stage vs transaction-ready leads — with specific WhatsApp, email, and call sequences for each.
System components
Five-stage Turkish HNW buyer journey map with stage-transition signals and adviser response protocols
Seven-criteria lead qualification scoring model weighted by close-probability contribution
12-stage CRM pipeline redesigned around journey stage membership rather than transaction milestones alone
Channel attribution framework enabling cost-per-qualified-lead calculation by source (referral, paid digital, organic, community)
Tiered engagement protocol: distinct follow-up cadence and content by journey stage, with WhatsApp, email, and call sequences defined per tier
How we worked
Engagement scope
Buyer journey mapping, lead qualification model design, CRM pipeline redesign, channel attribution framework, and tiered engagement protocol documentation.
Timeline
Three-week design sprint with CRM implementation and adviser training in weeks four and five.
Operating model
Journey mapping was built from a combination of adviser interviews, transaction post-mortems, and external diaspora market research. Qualification criteria were validated against actual closed deals before being generalised — we tested the model against history before applying it forward.
Outcomes
Business impact & measurable results
A buyer journey map, lead scoring model, and engagement protocol — delivering a shorter time-to-qualified-meeting.
Time-to-qualified-meeting reduced by an estimated 40% for referral-source leads after the tiered engagement protocol was introduced — advisers were no longer applying the same follow-up cadence to leads with fundamentally different conversion timeframes
Adviser time spent on non-qualifying leads reduced: the qualification scoring model enabled a go/no-go decision within the first interaction rather than after multiple follow-up cycles
Channel economics made visible for the first time: WhatsApp and referral leads converting at 30–50% vs cold digital at 1–3% — shifting acquisition budget weighting accordingly
Hidden decision-maker protocol embedded in qualification: no lead progresses past initial contact without identifying the capital controller (typically a parent in Turkey), eliminating late-stage deal exits caused by an undisclosed veto
CRM pipeline redesigned to reflect 15 defined stages across the full client lifecycle, from first contact through to capital division referral — making pipeline health measurable rather than estimated
Governance
Trust, collaboration & governance
Lead scoring model was built on observable behaviours, not demographic proxies — every criterion had a clear operational definition that an adviser could apply in a real conversation
CRM pipeline redesign was implemented iteratively with adviser input, not replaced in a single switch that would have broken existing workflows
Channel attribution methodology was explained to the team, not treated as a black box — they could maintain and update it without us
Reframe
When close rates are low, the question is what happens to leads already inside the funnel.
Across every engagement, the goal is the same: engineer a system that makes better decisions — faster, more consistently, and at scale — than the process it replaces.
Start a discovery
Most engagements begin with a conversation about context.
We do not send a proposal before we understand the problem. Start by telling us about your decision context — we will identify the highest-leverage intervention areas before any scope is agreed.