MV3 builds pipeline for banking technology companies selling into banks, credit unions, and fintechs. Every engagement is calibrated to the FI buying committee, the 9-to-18 month enterprise cycle, and the vendor-risk gates that decide whether a demo turns into a signed MSA.
A banking technology marketing agency runs demand generation for companies selling core banking, digital banking, payments, fraud, lending, and RegTech software into financial institutions. The FI buyer motion is committee-driven, security-reviewed, and 9-to-18 months long, so the marketing operating model differs meaningfully from generic B2B SaaS. MV3 builds FI-calibrated growth engines that bundle strategy and implementation across SEO, ABM, paid media, and AI operations, priced from $5,997 to $15K+ per month with pipeline-dollar accountability at every step.
Every banking technology company selling into banks and credit unions runs into most of these. We have built a repeatable answer to each.
Your demo lands with a VP. Then Risk, InfoSec, Compliance, IT, Legal, and the Business Line each want their own conversation. The deal moves in months, not weeks, and marketing has no content for two-thirds of the committee.
STRATEGY: Map the FI committee by function. Build a per-role content track for Risk, InfoSec, Compliance, IT, Legal, and Business Line owners so no seat blocks progress.
IMPLEMENTATION: Committee-specific whitepapers, SOC 2 and vendor-risk one-pagers, InfoSec-response accelerators, and a HubSpot deal-stage workflow that routes assets by contact role.
Bank and credit union operators used to land on your comparison and glossary content while scoping vendors. Post-AI-Overview, that traffic dropped 35 to 55 percent and the citation moved to the SERP itself, not your site.
STRATEGY: Reposition the content library around FI-buyer intent and expertise signals, not keyword targeting. Optimize for citation across ChatGPT, Perplexity, Gemini, and Google AI Overviews.
IMPLEMENTATION: GEO audit, schema restructure, EEAT byline system with FI subject-matter attribution, LLMO citation tracking across the four major AI surfaces on banking-tech buyer prompts.
6sense or Demandbase costs $80K+ per year and points at 5,000 accounts. Your actual TAM is roughly 4,500 U.S. banks and 4,700 credit unions, segmented by asset tier, core provider, and charter. The alerts are noise.
STRATEGY: Reduce the target-account list to 500 truly high-fit FIs by asset tier, existing core, and buying-signal thaw. Sequence across email, LinkedIn, phone, ads, and analyst-cited third-party content.
IMPLEMENTATION: MV3 runs the 500-account FI ABM program directly, integrating with your 6sense or Demandbase for intent signal, delivering booked committee meetings, not lead scores.
FI buyers reference Gartner, Forrester, Aite-Novarica, Datos Insights, and Celent before the RFI goes out. If you are missing from the report or grouped in the wrong quadrant, you are off the shortlist before marketing gets a call.
STRATEGY: Build an analyst-relations program calibrated to the reports your buyers actually read. Position your category placement to match how FIs frame the buy.
IMPLEMENTATION: Quarterly analyst briefings, updated capability matrices for each firm, coordinated PR and analyst-cited content pipeline, and category-defining digital PR into banking press including Bank Automation News, American Banker, and PYMNTS.
You spend six figures on Money20/20, Finovate, and ACAMS every year. Sales walks the floor. Nothing tracks. Marketing cannot show which booked FI meetings came from which event dollar.
STRATEGY: Design pre-event, on-event, and post-event motion tied to a 90-day pipeline sourcing window. Attribute every meeting, demo, and MSA back to the originating event.
IMPLEMENTATION: HubSpot event-source tracking, targeted ABM pre-invites to 500 FI accounts, on-site meeting scheduling automation, and 90-day post-event nurture built to convert booth conversations into signed MSAs.
Not single-service. MV3 is a full growth stack. Every engagement bundles strategy and implementation across the levers your FI revenue model actually needs.
Category, comparison, and product pages tuned for AI Overviews and organic. Written for FI operators and analysts.
500 named-FI monthly sequences. Segmented by asset tier, core provider, and charter.
Outcome-priced FI meeting delivery for enterprise pipeline models. Metered on SAO not MQL.
Long-form, technical, and analyst-grade content authored by writers fluent in banking regulation.
LinkedIn, Google, and industry-publication paid managed with FI targeting overlays.
Marketing ops automation, HubSpot workflows, committee-based routing, agent-driven personalization by role.
Category-defining coverage in American Banker, PYMNTS, Finovate, Bank Automation News. Backlinks earn authority, not blogger outreach.
FI-facing SEO at scale: charter comparisons, core-provider alternatives, asset-tier use cases with editorial oversight.
Real-time GA4, HubSpot, and Salesforce unified pipeline dashboards. See MSA-signed value vs. spend in one view.
Not aspirational language. Each guarantee is written into every MV3 banking tech SOW.
No long-term lock-in. Cancel any retainer with 30 days written notice. Month 13 exit gets the same terms as month 3.
Every monthly retainer ships a defined deliverable count: content published, ABM sequences run, campaigns optimized. Miss the count, next month is credited.
Flat monthly retainer. Ad spend, tool licenses, and third-party fees pass through at cost with monthly reconciliation. No agency mark-up on media.
Client came to MV3 with a stalled pipeline: a large TAM of community and mid-tier banks, an installed 6sense that pointed at the wrong 4,000 accounts, and a booth spend at Finovate that had never been attributed to sourced pipeline. We rebuilt the 500-FI ABM list by asset tier and core provider, layered committee-specific content for Risk and InfoSec, ran an analyst briefing cycle, and instrumented event-source attribution. Sourced pipeline grew from $3.9M to $11.1M attributed contribution across the engagement.
Composite testimonials drawn from three MV3 banking-tech engagements. Names anonymized per NDA; outcome metrics verified in HubSpot, Salesforce, and GA4.
Grew booked FI committee meetings 2.9x in 90 days. MV3 rebuilt our 500-account list against actual community bank asset tiers and ran the ABM sequences directly; the SDR team finally had qualified conversations by role.
AI Overviews wiped out most of our category research traffic. MV3 rebuilt the citation surface across ChatGPT, Perplexity, and Gemini on banking-tech buyer prompts and our category presence is stronger than pre-rollout.
Money20/20 and MBA Annual used to be $300K of untracked spend. MV3 instrumented event-source attribution end-to-end and now we know which booth conversation produced which signed MSA in the following 90 days.
Category, motion, and outcome are real. Client identity redacted per NDA. Detailed breakdown available on request.
Great fit matters more than closing the deal. If any of these describe you, we are probably the wrong partner, and we would rather say so up front.
If none of those describe you, you are likely in the fit range. Start with the $997 GEO Audit to confirm.
70% of MV3 banking-tech engagements begin here. Five days. Delivered as PDF plus 45-minute review call.
Not sure where to start? The GEO Audit is where 70% of our banking-tech engagements begin.
Start With The $997 GEO Audit →
30 minutes. We will ask about your ARR, current FI pipeline breakdown, and the growth gap. You will walk out with a 3-lever plan whether or not we engage.
Book The Call →AI Marketing & SEO Automation, All States
AI Content & SEO Infrastructure for B2B companies that want to own their growth channel , not rent it.
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