Palladin: A determined advocate for, or champion of, a cause — your success. Move the inputs; see where the revenue lives.
For fiber network operators carrying a mature platform footprint. The model below illustrates where revenue retention, churn reduction, and acquisition motion would compound at your operator's scale. Defaults are sector averages; numbers move when you do.
Growth Programs For Select Telecom Clients
01 · CROSS-PROMOTION
Acquire New B2C Customers from Your B2B Customer Base
Every B2B account is a roster of households. Model the take-rate when those households are offered a referral-style B2C package.
02 · ON-NET WINBACK
Reverse Churn — On and Near Your Fiber
Of the customers you have lost, what share lives at an address your plant can already light? Model the recoverable MRR.
03 · CRM SPEND GUARDIAN
What About Your CRM Contract?
15 minutes saves money on car insurance. 30 minutes on your CRM contract can put tens to hundreds of thousands a year back on the table.
04 · CAPEX EFFICIENCY
CapEx Wizard & Accountability Tracker
Where every CapEx dollar is in flight, what its variance looks like, and how much is recoverable from leakage, scope-creep, and stale POs.
05 · M&A PLAYBOOK
Acquirer-Side Readiness
Four lanes — financial, systems, customer continuity, people/ESOP. Rehearsable. Two weeks to readiness.
06 · CHURN REDUCTION
Customer Retention Agent
Proactive save motion against every upcoming renewal. Usage-pattern Early Warning System catches drift outside the contract envelope — including suspends — before it converts to churn.
Start the conversation
Take this against your operator's actual numbers.
Tell us where to start. We schedule a working session, scope the growth program that fits your footprint, and produce a proposal you can take to the board. Engagements are scoped tight, priced tier-anchored, and carry a walk-away clause as standard.
⚐ High Level Analysis Illustrated
Acquire New B2C Customers from Your B2B Customer Base
Your B2B customers are doorways. Every employee on their payroll is a household that may already live, or have family, inside or near your network. A coordinated cross-promo turns a B2B relationship into a B2C funnel without buying a single new lead.
⚐ High level analysis illustrated. Uses single-segment averages; production model would segment by SMB / mid-market / enterprise, on-net vs. near-net, plan tier, and household density. Treat the calc'd MRR as a directional target, not a forecast.
Two motions on one list. Churn reversal targets the customers your operator has lost whose address still sits on, or one short lateral build from, active plant. Sales execution targets the addresses that have never been on your operator's network but sit inside the same near-net envelope. Stretch the lateral, scale the prospect pool.
⚐ High level analysis illustrated. Attrition is treated as undifferentiated; production model segments by churn reason, tenure, and time-since-churn. Near-net prospect counts scale linearly with the lateral distance slider — production model uses the operator's GIS layer for true counts.
StratApex BVI · Illustrative Screenshot · Not Live
B
Show me churned subscribers in Fairfax and Springfield whose service address is on-net or within a short lateral build of an active node, churn date in last 12 months, last plan ≥ 50 Mbps.
BVI
847 records matched. 612 on-net, 235 near-net (≤ ¼-mile lateral from nearest node). Median plan at churn: 100/20. 71% cited "price" or "competitor"; 19% "moved"; 10% "service."
Top winback signal: 74% are still receiving an active competitor bill at the same service address.SELECT addr, churn_dt, last_plan, competitor_signal
FROM bvi.churn_xref
WHERE on_net OR near_net_lateral_miles <= 0.25
AND churn_dt > now() - interval '12 months'
AND last_plan_mbps >= 50;
B
Of the 612 on-net, how many had ≥ 24 months tenure before churn?
Full BVI preview gated
Live BVI query layer unlocks once your operator's footprint and churn data are wired in. This is an illustrative example, not a live query.
▤ On-Net / Near-Net Map · Example
Stretch the lateral. The sales-target ring expands. The prospect count scales with the distance.
Stretch the lateral from the nearest active node. Sales-target pool scales with the radius.
2.5miles
012345 mi
⚙ Inputs · Move These
Avg B2C MRR (per subscriber)$85
Avg B2B MRR (per account)$850
Total Subscriber Attrition · B2B (12mo est'd)50
Total Subscriber Attrition · B2C (12mo est'd)2,400
% of Attrition On / Near Active Network65%
Share of churned subscribers whose service address sits on-net, or within a short lateral build of an active node on the carrier network.
Est'd Winback % · B2B25%
Est'd Winback % · B2C18%
Sales Execution — Near-Net
Prospect Density (per square mile)160
Addresses per square mile not yet on the carrier network. Suburban ≈ 200–400. Rural ≈ 40–120. Production model uses GIS.
Sales Conversion % (cold to install)6%
Share of near-net prospects that convert to an install. Conservative; mature programs run 8–15%.
The recovery list is yours. The competitor's bill at the churned address is the unfair advantage. BEAD overbuilders shrink this window every quarter.
Move fast
⚐ High Level Analysis Illustrated
An Interchange Global Advisors Practice · Independent · Vendor-Blind
CRM Spend Guardian™ — What About Your CRM Contract?
If fifteen minutes is worth it to save on car insurance, what about your CRM contract? A 30-minute review can put tens to hundreds of thousands a year back on the table. A recent client: $1M+ saved, >75% reduction on a 3-year term. Independent. Line-by-line. Vendor-blind.
⚐ High level analysis illustrated. Real engagement reviews line items, license tiers, sandbox/integration/storage add-ons, and renewal escalators. Model below approximates realized savings from a typical CRM contract review.
Range observed across CRM Spend Guardian engagements: 18–55%.
Salesforce + something. Salesforce or something. Or finishing what you already started. The next platform dollar should be the highest-leverage one.
Vendor-Blind
⚐ High Level Analysis Illustrated
CapEx Wizard & Accountability Tracker
A thousand miles of fiber a year means a thousand miles of decisions, change orders, contractor variance, and stale POs. CapEx leakage is rarely one big number; it is a hundred small ones. The Wizard makes every dollar trackable to a project, a phase, and an owner.
⚐ High level analysis illustrated. Production tracker monitors per-project variance, recoverable change orders, and stale-PO aging. Model below uses portfolio-level averages.
Share of variance recoverable through change-order discipline, stale-PO sweeps, and scope-creep gates.
Recovered CapEx is the same as raised CapEx — without the rate-base conversation. A stage-gate per project, an owner per dollar.
Accountability
⚐ High Level Analysis Illustrated
Acquirer-Side M&A Playbook
If your operator is going to acquire in the next 24 months, the question is whether the next deal closes faster, integrates cleaner, and retains more MRR than the last one. The Playbook runs four lanes in parallel, rehearsable in two weeks before any LOI signs.
⚐ High level analysis illustrated. Model assumes a single representative deal. Production engagement scopes target-specific diligence and integration timelines.
Anchor-account retention plan, brand transition, NPS guardrails, churn-watch through day-180.
Lane 4
People & ESOP / Culture
ESOP-aware merger mechanics, retention design, union/non-union, four-generation cultural integration.
⚙ Inputs · Move These
# Targets in 12-Month Pipeline2
Avg Deal Size ($M enterprise value)$25,000,000
Diligence Time Saving %30%
Integration Time Saving %22%
Avoided Integration Cost (% of deal value)4%
MRR Retention Lift % (post-close)5%
Incremental customer/MRR retention vs. baseline integration.
Two weeks of work, not two quarters. Pays for itself out of the first deal, not the second.
Standalone scope
⚐ High Level Analysis Illustrated
Churn Reduction
Two levers, run together. Today, a customer retention agent fires the save motion against every upcoming renewal — before the calendar event, not after it. Tomorrow, a usage-pattern Early Warning System watches account behavior outside the contract envelope: bandwidth drift, plan/feature drift, support volume, billing friction, and suspends. The two together compress churn before it becomes a renewal-day decision.
⚐ High level analysis illustrated. Today's lever is the proactive save motion at renewal. Future lever is usage-signal Early Warning System monitoring account behavior between renewals. Modeled lift is conservative and below what mature deployments produce.
Tech Stack:Your SalesforceCustomer Retention AgentIntel Stack:Account Health MonitoringUsage-Signal EWS
⚙ Inputs · Move These
# Renewals / Year (B2B + B2C mix)8,500
Avg Renewal MRR (blended)$185
Baseline Renewal Rate %78%
Uplift from Agent % (now)6%
Today's lever: proactive save motion at renewal.
Additional Uplift from EWS % (future)4%
Future lever: usage-signal early-warning.
The retention agent shortens the save cycle on every upcoming renewal. The EWS watches for usage drift between renewals and surfaces churn risk before the renewal-day decision. Together, they compress churn before it lands on the renewal calendar.