Build vs. buy
You can build an ABM system. It’ll cost you more than you think.
Enrichment, an orchestration tool, an AI copilot and a few good afternoons get you most of an ABM system. Not the identity layer underneath it, and not a system still running in six months.
Used by teams who priced out the build and bought instead
The half-life
The build works. It’s month six that’s the problem.
A stack you assemble yourself can give you everything you need to run ABM on day one. But while your system seems to be working well, it’s quietly degrading over time. And with no identity graph of your own, you have nothing to reliably match audiences against. Vector lets you run a modern ABM program as a maintained product, so there’s no inevitable decay.
Build at launch
AccountsContactsSignalsActivationProofBuild at month 6
Accounts, partialNobody has revisited the scoring since launch
Licensed data has gone stale
A source API changed its schema
Credits ran out mid-quarter
Never actually got built
The build path
Everything you’d have to build, and the one thing you can’t
The build works on day one. By month six, scoring has drifted, data has gone stale, an API has changed and the credits ran out mid-quarter. Each piece below needs someone maintaining it, all at once, for good.
Accounts
An account model that stays honest
Scoring is easy to write and hard to keep true. Nobody revisits it, and it stops describing your pipeline.
Signals
A signal pipeline that survives
Every source is someone else’s API, with its own schema, rate limits and deprecation calendar.
Activation
Audience sync that holds
Getting one audience in is an afternoon. Keeping ten current as committees change is a standing job.
Proof
Proof that ties an ad to a deal
The piece teams always defer and leadership always asks for. Bolting it on later means rebuilding half the stack.
Ownership
Someone who owns all of it
Not until launch, for good. The stack lasts exactly as long as that person stays.
Contacts
An identity graph: the one you can’t build
Ad platforms match on personal emails, phones and devices. That graph takes years of matching; you can’t license it.
The math
Building looks cheaper on day one.
Here’s what it actually costs.
| Build it yourself | Vector, from $3,000/mo | |
|---|---|---|
| Identity resolution | Build it yourself Licensed per record, and no vendor sells the graph itself | Vector, from $3,000/mo Included, and proprietary rather than resold |
| Signal sources | Build it yourself Each one priced, integrated and maintained separately | Vector, from $3,000/mo 30+ native signals, plus custom signals you create |
| Engineering to build | Build it yourself Quarters before the first campaign runs | Vector, from $3,000/mo None |
| Engineering to maintain | Build it yourself Ongoing, forever, and invisible until it stops | Vector, from $3,000/mo None, it’s a maintained product |
| Ad ops hours | Build it yourself Recurring list building, uploading and re-uploading | Vector, from $3,000/mo Audiences update themselves |
| Reporting | Build it yourself A project of its own, usually deferred | Vector, from $3,000/mo Built into the platform |
| When it breaks | Build it yourself You find the problem and make the fix | Vector, from $3,000/mo A Customer Solutions team who will make it right |
The AI question
"Couldn’t we just point an agent at this?"
The best version of the build argument. An agent can write most of this. Writing it was never the hard part.
Agents are good at the parts that were already easy
Connectors, payloads, schedules. An identity graph isn’t a coding problem, so no amount of generation makes one.
Generated code is still code you own
Every integration an agent writes is one you maintain, and the model isn’t on call when the schema changes.
The failure mode is silence
Assembled systems rarely announce they’ve stopped working. Campaigns go quiet, and someone notices a quarter later.
Assembly isn’t accountability
When the audience stops matching two weeks before quarter close, someone has to fix it fast. An agent isn’t that someone.
Vector is the modern day ABM play, built for all of the marketers who are sick and tired of 6sense’s nonsense.
Kaylee Edmondson
Founder & Fractional Demand Gen Lead, DemandLoops
I’m not pulling together an account story from a million different platforms. Everything’s right here.
Kerri Amodio
Sr. Director, Growth Marketing, Levanta
With Vector’s contact-level data, we could trace the whole journey of the person who converted.
Meredith Gershenson
Demand Generation Lead, Navattic
The kind of tool that makes getting budget and buy-in easier.
Stan Rymkiewicz
Head of Growth, Default
FAQ
Build vs. buy, answered
On the first estimate, usually. That estimate tends to include engineering time and data, and leave out maintenance, ad ops hours and the attribution work that gets deferred until leadership asks for it. For scale: Vector starts at a $3,000/mo platform fee, roughly one engineer-week, and the build needs rather more than a week.
You probably can, and the first version will work. The question is whether you want your team maintaining it for the next three years, or spending that time on your own product.
Yes, and plenty of teams do. Vector runs on the signals and data you trust. Your stack stays where it is, and Vector takes over the hand-wiring underneath it.
Buy the part you can’t build
See the identity graph and the loop around it, already running.