Senior Customer Success · Strategic Enterprise

Mike Bogdan

Strategic enterprise customer success run the way customers need it run. Evidence-driven, and quiet when the moments matter most.

15+ years of experience across Apple consumer channel sales and Cloudflare strategic enterprise customer success. Most recently supported The Associated Press through the 2024 U.S. election cycle and led post-sale success across three of Cloudflare's largest platform partners. Claude is part of the daily practice, not a separate workstream.

High-Stakes Operations
Coordinated a 48-hour staffed-support plan with global support leadership for The Associated Press through the 2024 U.S. election cycle: Technical Account Manager (TAM) handoffs and a joint escalation channel staffed in real time across one of the year's highest-stakes operational windows.
Strategic Enterprise Book
Strategic enterprise book at Cloudflare across financial services, systems integrators, media, sports and manufacturing. Consumption-based and seat-based engagements.
Portfolio-Scale Visibility
Built a 3,500-account portfolio audit and a customer-migration scoping dashboard used in partner sales and renewals cycles. AI-assisted analytics tied directly to QBR and renewal conversations.
Channel Leadership at Scale
11 consecutive quarters at or above quota at Apple on an annual channel territory of $84M+. Designed the onboarding toolkit behind a 2x increase in US Channel Sales headcount.

Approach

Strategic enterprise customer success is operational work. The customer conversation only lands if the operating model underneath actually runs: escalation paths people trust before they need them, renewal motions that don't surprise anyone, joint planning with partner leadership at the director-and-above altitude, and account-level visibility that survives a team change.

I drive Claude through the analytical work the practice used to need a separate team for: audits, account-level reporting, dashboards, QBR material. The strategic calls stay with me: what to escalate, when, who to bring in.

Success stories

Success story · 01

Running a Plan for Election Night

The Associated Press runs the vote-tally infrastructure that powers national election calls. Election cycles are AP's highest-stakes operational window of the year.

Problem The 2024 U.S. presidential election was approaching against a backdrop of polarized national rhetoric and "rigged election" claims, with AP's vote-tally infrastructure positioned as both the operational fulcrum and a primary cyber-target. Election night and the immediate aftermath were AP's most consequential 48 hours of the year. No purpose-built coverage plan existed.
Action Coordinated a 48-hour staffed-support plan with global support leadership: TAM handoffs at fixed intervals and a joint escalation channel staffed before the night began, with real-time internal coverage so every escalation had a clear owner at any hour.
Impact Election night ran without operational drama on the platform side. The 48-hour plan held end to end, carrying the customer's most consequential window of the year on a coverage layer staffed before it started.
Success story · 02

Surfacing a Churn Problem the Partner Couldn't See

A global managed-services partner navigating a partner-first transition. Half managed-services (MSP), half resell book. Only the MSP side had ever been tracked.

Problem Multi-year churn was sitting silent in the resell book. Prior coverage tracked the MSP side only; the resell side had no renewal motion and no shared view of the book between Cloudflare and the partner.
Action Surfaced the resell-book churn via manual SFDC reconciliation. Built a joint 180/90/60/30-day renewal cadence with the partner's account team, with escalation paths and customer-level renewal forecasting baked in. Deliberately did not hand them a polished dashboard. The point was for them to own the motion.
Impact The partner's account team operationalized the cadence with their own tooling and ran it forward without me in the room. Inside the first year they won a multi-cloud consolidation deal away from a competing platform partner.
Success story · 03

Building an Operating View the Partner Could Run

A digital experience platform (DXP) partner with a large embedded customer base. Their account team had appetite to grow accounts; they didn't have a usable customer-level view to act on.

Part A — The upsell engine

Problem The partner's account team had no per-customer operating view. Every upsell conversation required someone to pull usage data, cross-reference entitlements, and frame the commercial pitch by hand.
Action Built the operating view in Claude using internal data connections (MCP). Pulled customer-usage data and mapped what each customer was paying for against what they actually used. Web lookups on customer domains flagged service fit (page-shield for payment-processing sites, API gateway for API-heavy traffic, bot management for high-automation patterns). Tied signals into established package pricing for self-serve quote generation, exported as a downloadable PDF the account team could put in front of the customer.
Impact The dashboard is in the partner's hands and being used by their account team to ground upsell conversations in actual usage; the manual data-pull cycle that bottlenecked every prior conversation is gone. Ownership transition on the tooling is in progress.

Part B — The migration tracker

Problem Multi-year migration across three parallel paths, affecting 300+ existing customers plus any joining during the migration window. End-customer production environments at stake. No central tracking of which customers needed what work, on which path.
Action Extended the same operating view into a migration tracker. Pulled DNS records across the install base. Ran NS lookups to identify customers who'd hit the static-IP requirement, the single biggest migration blocker. Tracked all three paths in one view, with the customers carrying the heaviest lift surfaced first. Tied in active orders, upcoming renewals, month-over-month revenue and year-over-year churn so migration sat next to commercial context in the same dashboard.
Impact Customer-level migration risk became visible and actionable. The partner's team started sequencing work on operational difficulty instead of reacting to whichever escalation got loudest. Same operating layer running both upsell and migration motions.
Success story · 04

Building Visibility Into a Partner's Customer Book

An enterprise cloud platform partner where most ACV came from the partner's own consumption of the underlying service. New product introductions kept stalling on missing feature requests. The partner's book of business was opaque to both sides.

Problem NPI deals blocked on missing features. No shared visibility into which customers were on which side of the internal/external classification line after the partner negotiated new pricing for internal consumption. The book of business was opaque to both Cloudflare and to the partner's own commercial teams.
Action Built the classification audit first: domain heuristics auto-flagged partner-name and subsidiary domains as internal; web-fetches resolved ambiguous cases. Aligned with the partner on classification logic in a question-and-scenario loop, then set a quarterly audit cadence the partner could run. From that base, layered in book mapping across geography, industry, region and stack, sourced from customer websites, Wikipedia, SEC filings and zero-trust telemetry probes. Fed the same operating layer into an agentic feature-request tracker built in OpenCode with Claude: ingested partner conversation across email and Jira, captured technical requirement plus partner-stakes context, auto-tagged PMs on Confluence, pulled Jira and GitLab status for follow-through.
Impact Classification accuracy on the partner's internal/external book rose from ~80% to 98% against partner ground truth, with a quarterly cadence the partner can run. PMs accelerated development on partner-prioritized feature requests; the account team ran joint GTM conversations off the same operating layer. The partner's book of business is legible at a resolution they hadn't shared with us before this work existed.
Success story · 05

Listening to the Field at T-Mobile

T-Mobile. Apple's brief was iPad attach across the carrier. T-Mobile's actual problem was different. You only heard it if you spent enough time in their stores to surface it.

Problem T-Mobile was missing SMB lead-gen targets. The iPad and Apple Pencil story was sitting silently unsold across thousands of retail conversations.
Action Built a partner-specific enablement workshop with Apple's SMB development team: talk tracks and hands-on conversion skills designed for the SMB-conversation moment in carrier-retail. Piloted as a 4-day workshop with T-Mobile's NYC district leadership team at their Times Square office.
Impact ~20–30% SMB lead lift in the NYC patch with a tracked iPad sales lift in the same cohort. Apple's training team picked the program up, ran it nationally and pulled it into AT&T and Verizon partnerships through their alliance managers.

Working with AI

AI is a working tool in the practice, not a branding point. I use Claude (Claude Code and OpenCode) as the analytical layer behind every story on this site: audits, reporting, dashboards, QBR material. The model doesn't make the strategic calls. It moves faster on the data work so I can spend more time on the customer conversation.

The other half of the work is the change-management side: partner-enablement programs and Train-the-Trainer motions customers can run themselves once the data is real. That work is the same shape AI-adoption rollouts need at the customer side. The data half and the change-management half are the same job.

The 3,500-account audit is where I learned the discipline these tools demand. The first pass came back fast and confidently wrong: verticals misgrouped, service-fit signals that didn't track to anything actionable. I rebuilt the work from the variable level, walking the model through what each signal meant and where the cleaner source data lived. Strategic interpretation comes from me. The model moves faster once it knows what I'm looking for.

The work falls into a few patterns:

Portfolio-scale audits. Normalize large sets of account and usage data to surface patterns hard to find manually. The customer map and DNS-readiness audit both started here.

Customer-facing analytics. Account-level views and renewal-trend analysis. The kind of material that shows up in a QBR.

Dashboards the customer keeps using. Trackers that customer and partner teams keep running after the initial analysis is done. The goal is an operating view they can run themselves.

Operational automation. Draft communications, intake tracking and other workflow automation that makes follow-through easier.

When a CSM has analytical horsepower the role didn't used to come with, the customer conversation stops being bottlenecked on whether someone has time to manually pull and reconcile data. The QBR slide that used to need a separate analyst doesn't.

Background

Cloudflare — Customer Success and Partner Success, 4+ years. Started as a CSM with a 295-customer book during a major plan-to-offering transition, roughly 10x the typical starting portfolio. Promoted to Senior CSM on the Strategic Enterprise book, supporting customers across financial services, systems integrators, media, sports and manufacturing including Stack Overflow, MLB, Warner Bros. Discovery, Binance, Carrier, Kyndryl and a strategic cloud-platform partnership. Promoted to Senior Partner Success Manager, owning post-sale success across three of Cloudflare's largest platform partners.

Apple — Channel Sales, 12 years. $84M+ annual territory across consumer and wireless channel. 11 consecutive quarters at or above quota. Designed the onboarding toolkit behind a 2x increase in US Channel Sales headcount. Ran a partner-website pilot that drove +16% sell-through on Apple Watch (amazon.com) and +21bp on MacBook Pro (bestbuy.com).

Contact

If you're building a strategic enterprise customer success team and want to talk about how this work would translate, reach out.