DemandSense

DemandSense brings several capabilities that normally require multiple tools into one platform. For us, it combines LinkedIn Ads performance insights, campaign benchmarking, and website visitor identification in a single environment. The biggest value is visibility. The platform helps us understand how our LinkedIn Ads are actually performing and where we should improve campaigns. At the same time, it allows us to identify companies visiting our website, which is extremely useful for B2B lead generation. This combination helps us move beyond basic ad metrics and see real demand signals from companies interacting with our marketing. The platform offers a lot of insights, so there is a learning curve at the beginning. It takes some time to understand all the modules and how to use them effectively. Overall, once the team becomes familiar with the system, the value becomes clear. DemandSense helps solve two key problems for us. First, it gives deeper insight into LinkedIn Ads performance beyond native LinkedIn reporting. This helps us identify inefficiencies and optimize campaigns more confidently. Second, it allows us to identify companies visiting our website. Many B2B prospects never submit forms, so being able to see which companies are showing interest helps our outbound team focus on warmer opportunities. This improves both marketing optimization and lead generation.

For a design and branding agency like ours, DemandSense works in two important directions. It tells us which brands and specific marketing leaders are reading our case studies and portfolio pages before they request a proposal. In agency work, buyers research for weeks or months before they self-identify, and knowing who's in-market changes when and how we reach out. The LinkedIn Ads attribution side gives us real visibility into which campaigns generate agency-level pipeline, not just clicks. LinkedIn Campaign Manager reports CTR and cost per click, but DemandSense tells me which ad groups move qualified prospects deeper into our funnel. The HubSpot integration ties both sides into our CRM so account managers see enriched visitor data where they already work, without a separate dashboard. Data breadth has a trade-off. In the first week or two, there's a learning curve to know which module to use when. For a small agency team that runs lean, we had to assign a specific person to own the daily workflow so the data didn't sit unused. Once that ownership was clear, the tool became part of weekly account meetings. Two problems we hit hard as a design and branding agency. First, visibility into enterprise buyers researching our work before they self-identify. Most of our pipeline starts with a marketing or brand leader clicking through our portfolio and case studies weeks before they fill out "request a proposal." Without DemandSense, that whole research phase was invisible. With it, we know which brands are in-market and can time outreach accordingly. Second, LinkedIn Ads attribution for agency acquisition. We run LinkedIn campaigns targeting marketing leaders at enterprise brands. LinkedIn's native reporting shows CTR and click volume but stops there. DemandSense closes the loop through HubSpot, and I can defend LinkedIn spend with revenue data rather than just clicks.

The visitor identification combined with spend controls is what makes this truly useful. We were running campaigns with no real sense of who was showing up. You can see decent traffic but no way to tell if it was the right accounts. Seeing which companies are visiting changes how you think about budget allocation. Ad scheduling is a major shortcoming in LinkedIn Campaign Manager, and DemandSense addresses that gap. Controlling exactly when campaigns run instead of letting LinkedIn spend around the clock makes a real difference. Budget caps too: LinkedIn's native options don't give much to work with, so having more granular limits means fewer ugly surprises mid-week. The setup takes longer than you'd expect. Getting visitor identification connected and everything tracking correctly isn't something you knock out in an afternoon. Support is helpful when you get stuck, but factor in the time. Honestly, the main thing was just not knowing who was seeing our ads. Every budget call felt like a guess. Having visibility into which accounts are on the site and tools to act on that makes the whole thing feel much more deliberate. Less waste, fewer uncomfortable client conversations.

What I value most is having campaign-level LinkedIn attribution, website visitor identification, and intent data in one connected system. Before DemandSense, we stitched reports across Google Analytics, LinkedIn Campaign Manager, HubSpot, and a few spreadsheets. That stitching took hours every week and produced numbers we could never fully defend in leadership reviews. The attribution depth is the real value. I can tell which audiences and creatives contribute to pipeline, not just which ones drive clicks. For a marketing team accountable to revenue targets, that shift in visibility is meaningful. The visitor identification piece is a substantial addition. It tells me which companies are reading our content before they fill out forms, which changes the conversation with the SDR team about which accounts to prioritize. For team members who only use one module, the platform's breadth feels like overhead. I've had to explicitly train the paid media person to ignore visitor ID panels, and the SDR leader to ignore attribution dashboards. More configurable role-based views would help. Two specific problems: 1. Attribution across paid, organic, and website interactions. Before DemandSense, our marketing reports showed either LinkedIn clicks or HubSpot form fills, never a connected picture. Leadership constantly questioned ROI. DemandSense gives us that connected picture, which has unblocked several campaign spend decisions we had deferred for months. 2. The visibility gap between LinkedIn Campaign Manager and actual pipeline. LinkedIn tells us cost per click; DemandSense tells us cost per qualified opportunity. That distinction has been quietly worth a lot in how we plan campaigns and allocate next quarter's budget.

Anonymous website visitor identification drives daily value for my SDR team. We produce a lot of content; most visitors never fill out forms, and that traffic used to be dead air. DemandSense reveals which companies are reading our pricing pages, case studies, integration docs, and comparison pages. That data feeds our account prioritization every Monday. For US traffic specifically, person-level identification is a major upgrade over company-level tools. Seeing names and titles of people actively researching changes how we sequence outreach. The LinkedIn Ads side is useful too, but the outbound workflow is where I spend most of my time in the tool. US-only person-level ID is a real constraint if you have significant EU-based pipeline. For our territory, it's fine because we're US-heavy. But a buyer with substantial non-US traffic will hit that limit and should know upfront. Primary problem: anonymous traffic was invisible to the outbound team. Our content got read, our pricing page got visited, but we had no way to follow up because we didn't know who the visitors were. DemandSense makes that traffic actionable by surfacing companies and, for US traffic, specific people engaging with our pages. Secondary problem: outbound list prioritization. Without intent signals, our SDRs worked through cold target-account lists alphabetically. Now they target buyers actively researching, and reply rates have moved noticeably in the right direction since we switched.

For a 20-person B2B SaaS company, DemandSense delivers enterprise-level visitor identification at a price we can actually afford. Before this tool, my options were RB2B (priced for later-stage companies) or stringing together cheap point solutions that didn't integrate. The LinkedIn Ads attribution quietly changed how I think about paid spend. Before DemandSense, I was spending on LinkedIn and hoping it worked. Now I can defend each spend line to the board with attribution tied to actual pipeline. The HubSpot integration means the tool lives where my team already works. No one has to learn a second dashboard, and the CRM remains the source of truth. The onboarding isn't as hand-held as I'd like. We figured most of it out from documentation and support tickets. A dedicated onboarding call or structured 30-day setup would smooth the first month for a team with limited marketing ops bandwidth. Practical budget problem. RB2B delivers the specific capability I wanted (US person-level visitor ID), but its pricing and procurement didn't fit our size. I couldn't justify the monthly spend for a single module, and RB2B's procurement trail felt heavy for what we needed. DemandSense solved the same core capability at a fraction of the annual spend, and the contract process was a direct conversation rather than an enterprise procurement cycle. On top of that, I got LinkedIn Ads attribution and a HubSpot-native integration that I didn't get from RB2B without paying for another tool.

From a technical integration standpoint, DemandSense is clean. The HubSpot connection is native, the API for data export is sensible, and the data hygiene on person-level identifiers is strong enough that I can confidently route records into our CRM without extra cleanup scripts. The attribution data is structured for downstream use. I can pipe it into our warehouse (BigQuery in our case) and join against our own CRM tables without the usual reshape gymnastics that most marketing tools require. The platform is mostly self-contained. For a RevOps function that owns three or four connected systems plus a warehouse, not adding another integration-hungry vendor is a real win. SSO setup required a support conversation rather than being self-service. For a company used to managing SAML via Okta on our own, this felt old-school. To their credit, support resolved it within a day. Two integration problems. First, data sprawl across LinkedIn, HubSpot, our warehouse, and a few spreadsheet handoffs was costing my team days of joining logic every month. DemandSense consolidates enough data that we can run account scoring from one source instead of reconciling three. Second, visibility into LinkedIn Ads performance beyond Campaign Manager exports. Campaign Manager's native reporting is surface-level, and its API for deeper data is painful to use. DemandSense exposes conversion-level data in a format I can actually use for BI reporting without writing custom ETL.

The best thing about DemandSense for me is that it replaces three separate tools with one platform. I primarily use it for LinkedIn Ads conversion tracking and anonymous website visitor identification. Account-level intent data sits alongside both. The LinkedIn Ads attribution side goes deeper than what LinkedIn Campaign Manager shows natively. I can see which audiences and creatives actually convert into pipeline. Campaign Manager stops at clicks and form fills. For any B2B team spending real money on LinkedIn, that visibility alone justifies the tool. For visitor identification, DemandSense tells me which companies are engaging with our website content before they fill out a demo form. That signal is what differentiates cold outbound from warm outbound for my SDR team. The HubSpot CRM integration means insights flow into the tool sales already uses, instead of sitting in a separate analytics dashboard that nobody opens. The product surfaces a lot of data, and the first week or two requires intentional effort to internalize. There are several modules (attribution, visitor ID, audience intelligence, Co-Pilot), and knowing which to reach for first isn't obvious on day one. Once the team has run a few LinkedIn campaigns through it and reviewed visitor ID reports, the learning curve smooths out. The first two weeks just require deliberate exploration. DemandSense solves two problems that matter specifically for B2B teams using LinkedIn Ads as a primary channel. First, LinkedIn Ads attribution and conversion tracking. LinkedIn's native reporting shows CTR and clicks but stops short of telling you whether those clicks turn into real pipeline. DemandSense closes that loop by tying ad interactions to CRM outcomes in HubSpot. I can tell leadership which campaigns actually generate qualified opportunities and which waste budget. Second, anonymous website visitor identification. In B2B, most buyers research content extensively before submitting a form. That means the majority of buyer intent stays invisible to traditional analytics. DemandSense identifies which companies—and for US traffic, which specific people—are engaging with our pages before they self-identify. Outbound then becomes targeted. My SDRs follow up on accounts actively researching. Together, these give me a tighter feedback loop between paid LinkedIn spend and sales outreach, with content engagement as the middle layer. My cost per qualified meeting has dropped because I waste less on poorly-converting audiences and prioritize accounts actually in-market.

For an ABM program, DemandSense's strength lies in combining account identification and orchestration into one place. I can identify which target accounts are engaging with our content, then coordinate LinkedIn ad targeting, SDR outreach, content sequencing, and executive briefing timing for those specific accounts. That coordination is what ABM truly requires, and most tools fall short here. The account-level intent data is more detailed than what our previous stack offered. Visit frequency, page depth, time on site, and engagement clusters directly feed our account scoring model. The HubSpot integration makes account signals available to sales without requiring them to learn a new dashboard, which has been critical for adoption. The Co-Pilot and AI-driven features are still maturing. For prompt-driven account summaries, I get useful results about two-thirds of the time; the other third needs editing. Given how fast AI is evolving, I expect improvement, but it's not yet a daily feature for my team. Account-based orchestration is my primary use case. The problem it solves is coordination: in an ABM program, you need to know which accounts are active, then align paid media, content production, outbound motion, and event invites for those accounts within the same week. Without a tool like DemandSense, that coordination happens in spreadsheets and breaks down once the account list exceeds 50. Secondary problem: attribution to account-level outcomes, not lead-level. Most marketing tools report by lead or contact, missing the fundamental ABM question: did the account move? DemandSense reports at the account level, matching how my program is actually structured.

As a marketing leader, I view DemandSense more as a consolidation tool than an additional point solution. It eliminates the need for three separate vendors—LinkedIn ads attribution, anonymous visitor detection, and account-based intent—by offering all in a single platform. From a budget and team standpoint, this consolidation is our biggest win. The board-level narrative I can now present with DemandSense was impossible before. I can demonstrate CAC by channel, tying LinkedIn spend directly to closed-won pipeline, not just MQLs. The HubSpot CRM integration means revenue ops no longer disputes the attribution methodology—the data flows where the CFO already trusts it. For a marketing organization spending six figures quarterly on LinkedIn, this is the difference between "we think paid social works" and "here is the dollar return for the last four quarters." The platform is richer than a typical dashboard—it includes attribution, visitor ID, audience intelligence, and Co-Pilot—and I can't hand it to a junior marketer cold and expect productivity in week one. There's a significant onboarding curve. That's not unique to DemandSense (anyone replacing three tools faces this), but it means I allocate two weeks of intentional ramp time before expecting daily use from my team. Two strategic problems for a marketing leader. First, defending LinkedIn budget to leadership. I can now include LinkedIn-driven pipeline as a column in my monthly board pack, not just impressions and CTR. When the CFO asks why social spend is up 30%, I have a deal-level answer. Second, marketing-driven account selection that sales actually trusts. DemandSense reveals which accounts engage with our content before they self-identify. My field marketing and SDR leaders use the same source of truth when prioritizing accounts. That alignment, with marketing and sales operating off one platform, was the breakthrough—pre-DemandSense, we had separate marketing analytics and sales intent tools that argued over which list was correct.