You picked the accounts, built the audiences and ran the campaigns, and now two questions keep coming back. Which people inside those accounts did we actually reach, and did any of it turn into pipeline? Vector relaunched on 16 September 2026 around exactly those questions, under a new line: “ABM finally works the way you thought it would.”

The new Vector is a full ABM platform. It collects more than 30 kinds of buying signal, places each tracked account in a buying stage with the evidence for it, pushes contact-level audiences to ten ad networks and writes a story for every deal that opens or closes. The comparison pages on its own site set it against 6sense and Demandbase, and every plan starts from a $3,000 monthly platform fee.

DemandSense starts from the LinkedIn campaign and works outward. It reads engagement on LinkedIn, visits to your site and movement in your CRM, measures what influenced pipeline under thresholds you set, and then changes what the campaign does next, from $89 a month.

The Short Answer

Vector is an ABM platform built on contact-level signals. It tracks the accounts you choose, places them in five buying stages (Identified, Aware, Interested, Considering, Selecting) using signals such as research intent, site activity, LinkedIn engagement, CRM activity, job changes and AI web research, and lists the evidence behind each stage. It builds contact-level audiences for LinkedIn, Google, Meta, YouTube, Reddit, TikTok, Snapchat, Pinterest, X and Bing, tunes LinkedIn bids with its Bid Agent, and turns each opened or closed-won deal into an Account Story. Pricing is a $3,000 monthly platform fee plus credits for tracked accounts, site traffic, premium signals and bid agents.

DemandSense identifies the companies visiting your site from anywhere in the world and the people behind US visits, scores them against your ICP, and measures LinkedIn’s influence on pipeline under Awareness, Engagement and Intent thresholds you set. It then acts on that read: closed-won deals go back to LinkedIn through the Conversions API, spend protection keeps budget off accounts that already bought, and four settings Campaign Manager does not offer control when your ads run, how often one company sees them, who they reach and when spending stops. Every feature is on every plan from $89 a month.

Choose Vector if you are replacing a legacy ABM platform and running one programme across many ad networks. Choose DemandSense if your account-based budget runs through LinkedIn and has to prove itself while the campaigns are still live.

What Buyers Ask of an ABM Platform

What do you need the tool to do?

Account selectionVisitor identificationAd audiencesAd deliveryRevenue attributionConversions APIMCPSales alertsPricing and trialClear

DemandSense vs Vector by use case

Use case	VVector	DemandSense
Decide which accounts to focus on	Tracked accounts placed in five buying stages from 30+ signals, with the evidence behind each stage, refreshed daily	Identified visitors scored against your ICP, and accounts measured against Awareness, Engagement and Intent thresholds you set, with Rising Accounts showing who is warming up this week
See who inside the account is engaging	A journey per account broken out by contact, refreshed weekly by default and daily as a paid upgrade	The people behind US visits with job title and work email, and every job title and company your LinkedIn budget reached
Draw on signals beyond your own channels	Research intent across 36,000+ topics, job changes, AI web research for funding and press, and call recordings, each priced in credits	Your own first-party activity: paid and organic LinkedIn, site visits and CRM movement, plus your competitors’ LinkedIn ads
Name companies visiting from outside the US	Identification is geofenced to the US, with company-level information possible for EU visitors, according to its help centre	Companies worldwide on every plan, and the people behind US visits
Push an audience into ad platforms	Contact-level audiences to ten networks, built at launch on tracked accounts, account stage, site activity and research intent	ICP-scored segments pushed to LinkedIn as custom audiences, plus a suppression list that fills itself
Shape how LinkedIn delivers the ads	Bid Agent adjusts LinkedIn bids every 15 minutes and paces budget weekly, drawing credits	Scheduling by hour, a frequency cap by company, audience tuning and a monthly ceiling that pauses campaigns at your cap
Show what marketing did for pipeline	Account Stories for each opened or closed-won deal, down to the creative, with no attribution model by design	Influenced pipeline, revenue and Won ROAS under thresholds you set, split by industry, headcount and country, with each account’s journey alongside
Feed closed-won revenue back to LinkedIn	Not covered	Conversions API, sending won deals with their value attached
Keep budget off accounts that already bought	Audiences can be built on account stage, and closed accounts move to a Customer column	Spend protection removes closed accounts from targeting on a rolling twelve-month window, with no list to maintain
Ask your data a question in Claude or ChatGPT	Read-only MCP covering LinkedIn Ads performance and identified site visitors	Read-only MCP on every plan covering LinkedIn ad exposure, identified visits and CRM state
Get a rep onto a warming account	Slack alerts when ICP visitors arrive and signals fire	Rising Accounts and Opportunity Gap panels in the app, and a webhook push. No Slack delivery
Start without a sales call	A pricing calculator online, with quotes after a demo	30-day free trial, every feature, no card

Read the table by where your budget goes. If one programme has to run across ten ad networks, the audience row is the one Vector built its relaunch around. If the budget runs through LinkedIn, the rows that decide it are delivery, closed-won revenue and accounts that already bought.

Where the Two Tools Agree

Both now answer the same first questions. Both identify visitors to your site at company and person level. Both show why an account sits where it does: Vector cites the signals behind each stage, and DemandSense lets you write the thresholds. Both lay out an account’s activity as a journey, connect ad engagement to deals in HubSpot or Salesforce, and offer a read-only MCP server for Claude and ChatGPT. Both price on credits above a base plan. If what you need is a view of which accounts are warming up that you can defend in a meeting, either will give you one.

Three Decisions, Made Differently

Choosing who to go after

Vector’s relaunch puts its weight here. A signal library of more than 30 types covers research intent across 36,000+ topics, site activity, LinkedIn organic reach and post engagement, CRM and HubSpot marketing activity, Fathom call recordings, job changes and AI research into funding and press. You switch on the signals that fit how you sell, premium ones draw credits while your own CRM and form data does not, and each account you track lands in a stage from Identified to Selecting with the reasons listed underneath. Stages refresh daily, and the contact-by-contact journey behind them refreshes weekly unless you pay for daily.

DemandSense builds the same picture from the activity your own programme creates. Awareness, Engagement and Intent each carry thresholds you set across paid impressions, organic engagements, clicks and site visits, over three, six or twelve months, so an account’s position traces back to rules you can read out in a meeting. Rising Accounts shows who is warming up this week, and Opportunity Gap lists the engaged accounts with no deal in the CRM yet. Identification reaches companies anywhere in the world and the people behind US visits, while Vector’s own help centre describes its identification as geofenced to the US.

Reaching them

Vector pushes contact-level audiences to ten networks: LinkedIn, Google, Meta, YouTube, Reddit, TikTok, Snapchat, Pinterest, X and Bing. At launch its FAQ lists tracked account and account stage as the new audience conditions alongside its existing segments, with individual signals as conditions planned for later. On LinkedIn, Bid Agent adjusts bids every 15 minutes and paces budget across the week instead of by the day, and each bid agent draws credits.

DemandSense pushes ICP-scored segments to LinkedIn as custom audiences. What it adds is control over the campaign once the audience is live. Outside the hours you choose, the bid drops to a cent instead of the campaign pausing, so LinkedIn keeps its learning overnight. A frequency cap stops one company absorbing your impressions, audience tuning shows every job title and company the budget reached and suppresses a competitor, a customer or an active deal in one click, and a monthly ceiling pauses campaigns at your cap and restarts them on the first.

Proving it worked

When an opportunity opens or a deal closes won, Vector’s Account Stories look back across the account’s signals and write the journey as a narrative: the moments that moved it, the people involved, the order it happened in and the creative they saw. Stories export as a link or an image for a review deck. Its FAQ says this is deliberately not multi-touch attribution: each story lists the touches in the order they happened, and no model divides the deal between them.

DemandSense measures influence across the whole programme. The thresholds you set decide what counts as influenced, and the reporting adds it up: influenced pipeline, revenue and Won ROAS, split by industry, headcount and country, with each account’s journey alongside. A story is written once a deal exists. The thresholds are running before that, so the accounts crossing Intent this month are visible while the campaigns that moved them are still live, and the same definitions produce the pipeline number when the budget is reviewed.

Sending Revenue Back to LinkedIn: The Conversions API

A Vector Account Story ends with the deal marked closed in your CRM. Nothing on Vector’s site describes sending that deal back to LinkedIn, so Campaign Manager keeps optimising against whatever conversion you set up months ago.

For most B2B accounts that conversion is a form fill. Sharper audiences and faster bids still feed a platform that learns from it, so LinkedIn keeps finding more of the people who fill in forms, a group that overlaps your buyers without being them.

DemandSense returns the outcome. Won deals go to LinkedIn as Purchase events with the deal amount attached and qualified opportunities as Qualified Lead events, six identifiers apiece on a daily sync, each mapped to a conversion rule a campaign can optimise toward. Those two event types hold a 365-day window where most others stop at 180, which is what lets a nine-month deal count. The setup around it is in the DemandSense guide to LinkedIn Ads conversion tracking.

Asking Your Data a Question

Both tools now ship a read-only MCP server for Claude and ChatGPT, so the comparison comes down to what each one can see. Vector MCP covers LinkedIn Ads performance, down to campaigns, creatives, bids and spend, plus identified site visitors, and its FAQ lists more platforms as roadmap. It is included in the platform fee.

DemandSense MCP, open on every plan and included in the trial, covers LinkedIn ad exposure and identified visits and adds the CRM state. A question like “ICP-fit companies that saw our ads, visited the site and are not in the CRM yet” depends on that third source, since its last clause can only be answered from the CRM. A walkthrough with Claude runs it on a live account.

Is There a Downside?

On Vector’s side, much of what a buyer will want to check is new. The relaunch went live on 16 September 2026, so its reviews describe the product it replaced, and some pieces arrive in stages: individual signals as audience conditions are planned for later, and the contact-level journey refreshes weekly unless you pay for daily. The bill starts with a platform fee before usage, and the exact figure comes after a demo.

On DemandSense, it takes some time to get used to everything the platform does, and frequency capping and suppression enforce weekly rather than on the click. Both products change month to month, so test these in a trial of your own.

Both rate well on G2, 4.9 for Vector and 5.0 for DemandSense, and both sets of reviews were written before Vector’s relaunch.

Pricing

The difference starts at the base: $89 against a $3,000 platform fee, before either bill grows. Both then charge in credits, so size each one against your own account list and traffic. Vector describes its calculator as an estimate built from the same model its sales team quotes from.

What Vector Does Differently

• Signals from outside your own channels. Research intent, job changes, funding and press found by AI research, and call recordings feed its stages, each switched on and priced separately. DemandSense reads your own LinkedIn, site and CRM activity, along with your competitors’ LinkedIn ads. Third-party intent is not something DemandSense offers at the moment.
• One audience across ten networks. The same contact-level audience can run on LinkedIn, Google, Meta and seven more. DemandSense currently activates audiences on LinkedIn only, where its campaign controls and the Conversions API work, and tracks engagement from Google Ads, Facebook Ads and StackAdapt.
• A ready-made story for every deal. Account Stories turn an opened or closed-won deal into a narrative you can share as a link or an image. DemandSense reports influenced pipeline, revenue and Won ROAS with each account’s journey available underneath, and leaves the narrative to you.

What DemandSense Does With It

Vector helps you choose where to look. DemandSense measures what the LinkedIn spend produced, changes the campaign because of it, and hands the result back to LinkedIn, so each month’s targeting starts from what closed.

• Influence you define, added up across the programme. Thresholds you write decide what counts, and the result reads as influenced pipeline, revenue and Won ROAS for every account, with the journey available for any one of them.
• The campaign changes when the numbers do. The hours your ads run, how often one company sees them, which job titles and companies stay in, and a monthly ceiling that pauses spend at your cap. On Vector the lever inside LinkedIn is a bid optimiser that draws credits.
• Accounts that bought drop out of targeting by themselves. Spend protection works a rolling twelve-month window, so a customer stops costing you impressions without a list or a segment to maintain.
• LinkedIn learns from the deals you closed. Won revenue returns to Campaign Manager as a Purchase conversion with its value, so delivery tunes toward buyers instead of form-fillers.
• Companies outside the US get a name. Company identification works worldwide on every plan, with person-level identification for US visits.
• You can start this month for $89. Every feature is on every plan, billed monthly, and the trial runs 30 days with no card needed. Vector’s platform fee is $3,000 a month before any extra credits, and the firm number arrives after a demo.

Verdict

Choose Vector if you are replacing a legacy ABM platform, the programme runs across several ad networks at once, and you want third-party signals deciding where the team looks next. That is the job its relaunch was built around, and its pricing is set for it.

Choose DemandSense if LinkedIn is where the account-based budget goes and that budget has to justify itself while it is still being spent. It measures influence against thresholds you set, changes what the campaigns do, and tells LinkedIn which deals closed, from $89 a month.

Start a 30-day trial and run it against the accounts you are already targeting.

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