In this guide, I compare Madison Logic vs. Influ2 on features, pricing and ABM fit so marketing and sales teams can quickly see which platform lines up with their ABM motion.
I also cover how ZenABM can work as a lean LinkedIn-first alternative or sit beside them as a lighter ABM analytics layer.
Madison Logic is an enterprise ABM platform that helps you reach named accounts across several paid channels from one place.
Here is a condensed look at what it does, what it costs and how users see it.
The Activate ABM platform combines content syndication, ads and intent data in a single system.
Madison Logic coordinates content syndication, display, LinkedIn ads, CTV and digital audio in one platform.
You can reach target accounts through whitepapers, webinars, LinkedIn Sponsored Posts and streaming TV or audio placements.
Madison Logic claims a large B2B intent graph built over many years and a broad set of accounts and contacts.
These signals feed ML Insights, which scores and prioritizes in market accounts so you know who to focus on.
Madison Logic can syndicate your content through its publisher network to generate MQLs from target accounts.
The vendor highlights tight filters, although some marketers view syndication as opaque and inconsistent on lead quality, with one Redditor calling it “a blind network with no way of filtering out of spec leads.”
Madison Logic runs programmatic display and LinkedIn campaigns against your account list.
As a LinkedIn Marketing Partner, it syncs segments into Campaign Manager and includes LinkedIn as part of multi-channel sequences.
The goal is sustained exposure across display, social and other channels, even though display networks still struggle with bots and banner blindness.
For teams with creative capacity and budget, Madison Logic can also activate CTV and digital audio campaigns as part of an ABM mix.
ML Measurement and the ML Intent Dashboard connect engagement to pipeline and revenue. The Intent Dashboard centralizes intent, engagement and benchmarks, then surfaces hot accounts and recommended next steps, with views for stage movement and cross-channel performance.
Madison Logic built its edge on deep intent data.
Its data arm later became Bombora, and the platform still blends first-party engagement with Bombora Company Surge, plus firmographic and technographic data inside the ML Data Cloud.
Targeting uses firmographics and job attributes, so you can reach the right roles and regions via syndication, display and LinkedIn.
Third-party keyword surge intent can skew toward curiosity rather than purchase intent, and some G2 reviews point out a strong top-of-funnel tilt.
Pro Tip: Third-party surge data can be noisy and expensive. ZenABM instead focuses on first-party qualitative intent by tracking how companies interact with each LinkedIn ad you run. You tag campaigns by theme, and ZenABM groups accounts by what they actually click, giving sales and marketing clearer signals.
Madison Logic connects to major CRM, MAP and sales tools, which suit complex B2B stacks, although setup and upkeep can require ops effort.
| Platform | Integration Details | User Notes |
|---|---|---|
| Salesforce (CRM) | Embeds account insights and engagement data and connects campaigns to the pipeline. | “The integration with Salesforce is everything when it comes to our reporting.” |
| HubSpot, Marketo, Pardot (MAP) | Pushes leads and engagement data into nurture flows that sync with CRM. | Some users mention early setup friction and occasional manual CSV fallback. |
| LinkedIn Marketing Solutions | Exports account segments into Campaign Manager for activation. | Reported to streamline activation and reduce launch time. |
| Gong | Feeds intent-backed insights into call prep and follow-ups. | Used to personalize conversations with AI-supported cues. |
| Convertr | Enriches leads in real time with intent scores and topics. | Helps route qualified leads faster into the right workflows. |
| Adobe Experience Platform | Feeds intent data into Adobe tools such as Journey Optimizer. | Supports full funnel personalization for enterprise programs. |
Madison Logic does not share list pricing publicly, so most buyers will see custom enterprise quotes.
Public benchmarks suggest:
User feedback reflects strong capabilities along with predictable tradeoffs.
Pros:
Cons:
Influ2 calls itself the first person-based ABM platform and focuses on getting ads in front of specific people inside your target accounts.
Influ2 is built around person-based advertising and giving sales contact-level insight.
Unlike many that operate at the account level, Influ2 shows ads to named individuals across major ad networks.
You can, for example, pick the CIO of Acme Corp and have them see ads on LinkedIn and later on news sites. The pitch is less waste on irrelevant employees.
Matching is not perfect, though. A Syft study found IP-based website visitor identification accuracy at roughly 42 percent.
Influ2 tracks impressions, clicks and visits per contact, so sales can see which people actually interacted and adjust outreach accordingly.
Influ2 also layers in third-party style signals, such as keyword searches and websites visited by those contacts.
Pro Tip: That kind of borrowed data is often noisy. Buying decisions are made at the account, not just from one person’s browsing. ZenABM focuses instead on first-party, company-level intent from your own LinkedIn ads. You see which companies engaged with which campaigns and how their interest shifts over time.
Influ2 lets you build simple journeys where ad sequences change as a contact clicks or ignores creatives, similar to automation workflows but focused on ads. In practice, the quality depends heavily on your logic and content library, and some users feel personalization could be more flexible.
Influ2 integrates with major CRMs and marketing platforms such as Salesforce, HubSpot, Marketo and Microsoft Dynamics, as well as sales tools like Outreach and Salesloft.
It can also feed alerts into Slack or Teams when a target account contact engages, and updates CRM records with ad engagement. For an ABM platform, typical implementation time of around a month is relatively quick.
Influ2 dashboards show how many buying groups were influenced, how many opportunities were opened or progressed and how much revenue is tied to people who saw or clicked ads, with revenue influence reports for leadership.
Given the person-level targeting, privacy is front and center.
Influ2 promotes a privacy-first matching approach that is GDPR and CCPA compliant and is SOC 2 Type II certified, using hashed emails and first-party data instead of random third-party cookies.
Sales teams get a ranked list of hot accounts and the specific contacts inside them who are most engaged.
Influ2 keeps pricing behind a “Contact us” form, but third-party chatter fills in some gaps:
For scrappy teams with a tight ad budget, the model is harder to justify.
Influ2 holds about 4.6 out of 5 on G2 across 150+ reviews.
Common positives:
Frequent drawbacks:
The key differences between Madison Logic and Influ2 are summarized here.
| Criteria | Madison Logic | Influ2 | Best fit |
|---|---|---|---|
| Primary focus | Enterprise ABM platform for multi-channel reach, content syndication and intent-based account prioritization | Person-based ABM platform that targets and tracks ads at the contact level | Madison Logic for broad account-level ABM, Influ2 for contact-centric programs |
| Targeting level | Account level, using firmographics, technographics and intent at the company scale | Individual contacts within target accounts across web and social inventory | Company strategy vs specific buyer targeting |
| Channels | Content syndication, display, LinkedIn, CTV and digital audio | Digital ads across major networks focused on individuals, not syndication | Multi-channel brand and demand vs focused contact reach |
| Intent model | Large third-party intent graph plus first-party engagement and firmographic data | Contact level ad engagement plus browsing and keyword style signals | Broad account surge detection vs person-level signals |
| Sales alignment | Account-level insights and hot account lists pushed into CRM and sales tools | Ranked lists of hot accounts and specific engaged contacts for outreach | Account teams vs outbound-focused sales pods |
| Integrations and stack | Deep integrations with CRM, MAP, analytics and enterprise experience platforms | Connectors to CRM and sales engagement tools for alerts and record updates | Complex martech stacks vs leaner sales and marketing stacks |
| Pricing approach | Custom enterprise quotes, often thousands per month, plus media and data | Pricing tied to the number of targeted contacts and media, reported in the higher cost band | Large ABM budgets and big ACVs |
| Ideal customer profile | Enterprise and upper mid-market teams running global multi-channel ABM | Teams with high deal values that want precision at the person level | Strategic ABM center vs targeted sales activation |
| Role of ZenABM | Adds LinkedIn company-level engagement, scoring and revenue analytics on top of Madison Logic | Provides company-level LinkedIn intent, ABM stages and CRM sync besides Influ2 | Best when you want first-party LinkedIn ABM analytics without extra enterprise fees |
If you want a multi-channel ABM engine that can push content syndication, display, LinkedIn, CTV and audio to named accounts, backed by a large third-party intent graph, Madison Logic makes more sense.
It is built for enterprise programs with bigger budgets, longer buying cycles and dedicated RevOps to own integrations and reporting.
If your strategy is to hit specific decision makers and champions with ads and give sales contact-level engagement insight, Influ2 is closer to what you need.
It is built for person-based advertising, so sales can see which individuals interacted and adjust outreach around that.
ZenABM is built for teams that rely on LinkedIn as the primary ABM channel and want first-party accuracy, automation, and revenue visibility without the price or complexity of multi-channel suites.
Let’s look at its core features:
ZenABM connects to the official LinkedIn Ads API and captures account-level data for all campaigns so you can see which companies see, click, and engage with your ads.
Because this is first-party data from LinkedIn’s environment, it is more reliable than IP or cookie-based visitor ID.
A Syft study puts IP-based identification at around 42 percent accuracy.
ZenABM treats LinkedIn ad engagement itself as first-party intent. When several people in one company keep engaging with your ads, that is a strong buying signal without rented intent feeds.
ZenABM updates engagement scores as accounts interact with your ads across campaigns, so you can see who is heating up over short or long windows and let marketing and sales prioritize accounts that show real intent.
ZenABM also shows the full touchpoint timeline for each company:
ZenABM lets you define stages such as Identified, Aware, Engaged, Interested, and Opportunity and automatically places accounts in the right stage using scores and CRM data.
You control thresholds, and ZenABM tracks movement over time.
This gives you funnel visibility similar to larger suites, but powered by LinkedIn data.
ZenABM integrates bi-directionally with CRMs like HubSpot and adds Salesforce sync on higher tiers.
LinkedIn engagement data flows into the CRM as company-level properties:
Once an account crosses your score threshold, ZenABM updates the stage to Interested and automatically assigns a BDR.
ZenABM lets you derive intent topics from LinkedIn campaigns by tagging campaigns by feature, use case, or offer.
ZenABM then shows which accounts engage with which themes.
This is clean, first-party intent from owned interactions.
You can push these topics into your CRM, so sales and marketing can tailor outreach to what each company has actually explored.
ZenABM ships with dashboards that connect LinkedIn ads to account engagement, stage movement, and revenue.
ZenABM shows which job titles engage with your creatives and gives dwell time and video funnel analytics.
ZenABM provides its AI chatbot called Zena that basically answers all you want from ZenABM in natural language.
You can ask Zena open-ended questions like you would a smart analyst and get company-level answers about:
Under the hood, Zena combines OpenAI with a library of carefully designed prompts and endpoints to join ad engagement, spend and CRM deals so it can explain which campaigns drove pipeline, which accounts turned into opportunities, which formats perform best and which companies are high intent but untouched by sales.
Instead of exporting spreadsheets and stitching pivot tables, you get plain language insights, ready to drop into strategy reviews, weekly sales standups or executive updates.
ZenABM’s custom webhooks let you push events into your stack, for example, Slack alerts, enrichment flows, or other ops automations.
Most tools treat each LinkedIn campaign separately. ZenABM lets you group several into one ABM campaign object so you can see performance across regions, personas, or creative clusters.
Instead of juggling fragmented reports in Campaign Manager, you see spend, pipeline, account movement, and ROAS for the entire initiative.
For agencies, ZenABM offers a multi-client workspace.
You can manage multiple ad accounts and clients in one environment, each with its own ABM strategy, dashboards, and reporting, instead of constantly switching accounts in Campaign Manager.
Plans start at $59 per month for Starter, $159 for Growth, $399 for Pro (with AI), and $479 for Agency.
The agency plan still stays under $6,000 per year.
All tiers include core LinkedIn ABM features. Higher tiers mostly increase limits and add Salesforce sync.
Plans are available monthly or annually, and every plan includes a 37-day free trial.
Madison Logic is built for teams that want to surround target accounts across multiple channels with ads and content, heavily guided by third-party intent and a large data graph.
It shines when you have enterprise budgets, complex stacks and a mandate to coordinate display, LinkedIn, CTV and syndication from one place.
Influ2 leans into a different thesis. It is for marketers and sales teams who want to know exactly which contacts saw and clicked ads, then route that engagement straight into outreach.
If your ABM success depends on arming reps with precise contact-level signals, its person-based model can be attractive despite the higher cost per engaged contact.
ZenABM slots in when you care most about what happens on LinkedIn as a core ABM channel. It turns LinkedIn ad data into company-level intent, scores and ABM stages, syncs that to your CRM and connects it to the pipeline, all at a fraction of typical enterprise ABM pricing.
For many teams, that is a more practical way to get to usable ABM signals without dragging half the stack into it.
