Champify Pricing 2026: Cost, Tiers and Best Alternatives

Champify publishes list pricing, and here it is. Champify's own pricing page shows three tiers: Core starting at $2,000 per month, Pro starting at $3,000 per month, and Enterprise starting at $6,000 per month, which works out to roughly $24,000, $36,000 and $72,000 per year on the standard annual contract. Each tier is gated by how many contacts you have in Salesforce (15,000 on Core, 40,000 on Pro, 150,000 on Enterprise) and each has paid add-ons that push the real number higher. Champify does not publish add-on pricing, so anything above the tier floor is quote-only. Source: champify.io/pricing.

And the short answer on alternatives: the best Champify alternatives for 2026 fall into three groups. Other job-change and champion-tracking tools with broader CRM support and a full agent layer (UserGems, from $40,000 per year on its own published pricing). Person-level website visitor identification platforms that see who is browsing your site right now rather than only who changed jobs (RB2B from $79 per month, Warmly from $10,000 per year per module). And full AI-native revenue platforms that capture job-change signal alongside account and contact deanonymization, personalization, and activation in one system (Abmatic AI, from $36,000 per year for the whole platform). Champify is a genuinely useful, Salesforce-native tool for surfacing champions and executives the moment they move. It is one signal category, delivered into one CRM.

If you already know you want job-change signal folded into a platform that also identifies anonymous visitors and runs the follow-up automatically, you can book a demo and skip the shortlist. If you are still comparing, the rest of this guide breaks down the price of every option, what Champify does well, where it stops, and how four real alternatives stack up. Every third-party claim on this page links to the vendor's own page, and all sources are listed at the bottom.

Champify pricing in 2026: the full breakdown

Unlike most of the ABM and signal category, Champify puts numbers on the page. That is a genuine point in its favour when you are budgeting. The three published tiers, taken directly from champify.io/pricing, look like this.

Three things to hold on to before you compare that number to anything else.

• "Starting at" is doing real work. Every tier is a floor. Champify's own page lists add-ons for relationship-tracking volume, Insider AI account volume, Calendar Sync users, New Executive Hires monitoring, CRM Clean contact processing and custom enrichment throughput. None of those add-ons carry a published price, so the only figure you can plan against is the floor.
• The price scales on CRM contact volume, not on outcomes. If your Salesforce database grows, the bill grows, whether or not the extra contacts ever produce a job-change signal worth acting on.
• It is one signal category. $24,000 to $72,000 per year buys champion and executive job-change tracking, lost-deal re-engagement, contact hygiene and Insider AI account intel, delivered into Salesforce. It does not buy website visitor identification, web personalization, outbound sending, chat, meeting routing or ad activation. Those are separate subscriptions.

That third point is the entire reason "champify pricing" and "champify alternatives" are the same search. Once you price the rest of the stack you need around it, a single-signal line item at $36,000 per year starts to look like the first of four invoices. See what a consolidated alternative covers at the same price point with an Abmatic AI demo.

Champify alternatives, priced side by side

Here is every option in this guide at its published list price, with what that price actually covers. Vendors that do not publish a figure are marked as not published rather than guessed at.

Read that table as a cost-per-capability exercise rather than a cheapest-wins one. Champify Pro and the Abmatic AI platform floor are the same $36,000 per year. One of them is a signal feed into Salesforce, the other is fifteen-plus modules on one identity graph. UserGems is a strong product but its published entry price is $40,000 per year before implementation, and the contact-level web deanonymization most buyers actually want sits on the $150,000 Elite tier. Sources: champify.io/pricing, usergems.com/pricing, rb2b.com/pricing, warmly.ai/p/pricing.

Why teams look past Champify

Champify tracks relationship signal: champions, executives, and past customers as they change jobs, plus lost-deal re-engagement and CRM contact hygiene, all delivered natively into Salesforce with Slack and email alerts. For a sales org that already lives in Salesforce and wants a "your champion just started at Company X" alert routed to the right rep, it is a defensible, well-built pick. The friction shows up in three places.

• Salesforce-only. Champify describes itself as native to Salesforce and an official Salesforce ISV partner, shipping a managed Salesforce package as part of the core offering. Its native integrations page lists Salesforce, Gong, Calendar and Slack, and does not list HubSpot, so HubSpot-native teams route the data through Salesforce first. Source: champify.io native integrations.
• One signal category, priced per contact volume. As broken down above, roughly $24,000 per year at Core through $72,000 per year at Enterprise, scaling with the size of your CRM and with unpriced add-ons on top, for job-change and relationship tracking specifically. That is a meaningful line item for a single signal category.
• No visibility into anonymous website traffic. This is the gap that matters most for teams evaluating alternatives. Champify tells you when a known contact in your CRM changes jobs. Nothing on its product or pricing pages covers identifying anonymous website visitors, and it does not run contact-level deanonymization, web personalization, outbound sending, chat, or ad activation off the signal it captures.

None of this makes Champify a weak product at the job it was built for. It means "alert me when a champion moves" and "identify every anonymous visitor and act on it across the funnel" are two different jobs, and most standalone job-change tools only solve the first. We covered this same signal-versus-activation gap in detail in our Champify vs UserGems vs Abmatic AI comparison. See the difference on your own traffic with an Abmatic AI demo.

Best Champify alternatives compared

The table below compares Abmatic AI against Champify and three other real alternatives across the capability dimensions that matter when a B2B team is shopping to replace or supplement a job-change signal tool. Abmatic AI is the most comprehensive AI-native revenue platform on the market, collapsing the personalization, testing, identity, and activation stack that most teams currently buy as 8 to 12 separate point tools (web personalization, VWO-class A/B testing, Clay and Apollo-class list building, RB2B and Vector-class contact deanonymization, Unify-class agentic outbound, agentic chat, Chili Piper-class meeting routing, BuiltWith-class technology scraper, and a DSP buying tool) into one shared identity graph and signal layer, with job-change signal as one input among many rather than the whole product.

Every competitor cell below describes what that vendor's own published pages say it covers as of 24 August 2026. Where a capability is outside a vendor's product scope, the cell says so and says why, rather than implying the vendor has no AI. All four of these vendors ship real AI features, and the honest difference is architectural: Abmatic AI runs these modules first-party on one identity graph, where the alternatives run a narrower scope and expect the rest of your stack to fill in.

The gradient in that table is the point, and it is a gradient of scope, not of quality. Champify and UserGems are strong at surfacing job-change and champion signal into a CRM. RB2B and Warmly are strong at identifying who is on your website in the moment. Abmatic AI covers 16 of these dimensions natively because it was built as one platform with a shared identity graph, so a champion signal, an anonymous visit, a sourced decision maker and a personalized follow-up all run through the same system instead of four separate subscriptions and an ops person to join them. See a live walkthrough of the full stack with a demo of Abmatic AI.

Honest teardown of each alternative

Champify

What it does well: A Salesforce-native tool purpose-built for warm-outbound plays: tracking champions, executives, and past customers as they change jobs, surfacing lost-deal re-engagement opportunities, and keeping CRM contact data current. The Salesforce install is clean, Champify is an official Salesforce ISV partner shipping a managed package, unlimited Salesforce users are included on every plan, and the signal itself is a well-established, high-intent trigger for renewed outreach. Insider AI adds a genuine layer on top, structuring insight buried in call transcripts, rep notes and email interactions so a rep re-engages the right contact at the right account. Champify also publishes its list prices, which more than half of this category refuses to do.

Where it stops: Its published native integrations are Salesforce, Gong, Calendar and Slack, with no native HubSpot connection listed, so HubSpot-first teams sync through Salesforce. It runs on CRM records rather than on your website, so anonymous visitor identification at the account or person level, web personalization, outbound sending, live-site chat and ad activation are all outside its scope and land on other line items. Pricing scales with contact volume from roughly $24,000 per year at Core, and add-on pricing is not published. Sources: champify.io/pricing, Insider AI, native integrations.

UserGems

What it does well: Covers the same champion job-change category with a much broader surface than Champify. Salesforce and HubSpot are both native on every tier, sales-engagement integrations are included, and UserGems has expanded well past job-change alerts into a multi-signal platform with account and contact scoring, automated campaigns, and a real agent layer: Gem-E, a Writing Agent, a Research Agent, an AI co-pilot Chrome extension, and a UserGems MCP surface on the Advanced tier. In 2025 it also announced a partnership with Vector for contact-level website visitor identification. For a full head-to-head, see our UserGems vs Abmatic AI comparison.

Where it stops: Price and packaging. UserGems publishes $3,333 per month ($40,000 per year) for Core with a $3,000 implementation fee, $6,250 per month ($75,000 per year) for Advanced, and $12,500 per month ($150,000 per year) for Elite. Contact-level intent and web deanonymization, CRM hygiene and buying stages are all listed on that Elite tier, so the capability most Champify shoppers are hunting for sits at the top of the price list. There is also no web personalization or A/B testing, and no live-site conversational AI. Sources: usergems.com/pricing, UserGems and Vector partnership.

RB2B

What it does well: The cheapest way to start. A focused, credit-based tool for person-level identification of US website traffic, surfacing LinkedIn profiles of visitors in real time and pushing them to Slack, with Hot Pages for high-intent page tagging and Hot Leads for ICP filtering. Free tier at 150 monthly resolutions for company-level identification, Starter at $79 per month for 300 resolutions with LinkedIn URLs, Pro at $149 per month adding business emails and full integrations, Pro+ at $199 per month for premium resolution.

Where it stops: Person-level identification is US-only, with RB2B's own published coverage at roughly 15 to 20 percent on standard resolution and 35 to 45 percent on the Pro+ premium tier. It does not track job-change signal, and personalization, outbound sending, chat and ad activation are outside its scope. It is a visitor-identification feed you plug into other tools, not a job-change tool or a full platform. Source: rb2b.com/pricing.

Warmly (acquired by HubSpot, June 2026)

What it does well: A website visitor identification and real-time orchestration platform that deanonymizes traffic and then triggers Slack alerts, AI chat, or email sequences automatically when a target account visits. It ships a real agent suite: AI Studio agents and an Autopilot Agent in the top tier, a standalone TAM Agent for account and contact list orchestration, and a Demand Gen agent that syncs warm-signal segments to LinkedIn, Meta and Google. It also layers in second-party signals like LinkedIn job-change intent, which puts it closer to a hybrid of visitor ID and relationship tracking than Champify or RB2B alone. It publishes list prices, which is rare in this category.

Where it stops: The pricing is modular, so capabilities you would expect in one platform arrive as three: AI web deanonymization at $10,000 per year, Inbound Chat at $20,000 per year, AI Inbound Autopilot at $30,000 per year. There is no native web personalization or A/B testing. And it is no longer an independent vendor: HubSpot announced the acquisition on 30 June 2026, with contracts and pricing unchanged at announcement and a stated plan to fold Warmly's intent data and agents into HubSpot over time, so weigh roadmap risk if you are not a HubSpot shop. Sources: warmly.ai/p/pricing, Warmly is joining HubSpot.

Why teams choose Abmatic AI instead

Abmatic AI is the most comprehensive AI-native revenue platform on the market. It captures job-change and champion signal the same way Champify and UserGems do, then closes every gap that follows: anonymous visitor identification, contact sourcing, personalization, testing, outbound, chat, meeting routing, and ad activation, all on one shared identity graph, starting at $36,000 per year for the whole platform. Request a walkthrough to see the shared identity graph on your own traffic.

• Account-level deanonymization: identifies the companies behind anonymous website visits, so a champion's new employer is named the moment anyone from that account browses the site, not only when a job-change record updates in the CRM.
• Contact-level deanonymization, natively, no add-on and no top-tier gate: identifies the individual people behind anonymous site traffic, including the rest of the buying committee around a returning champion.
• Web personalization: a visual editor and JSON API to personalize the landing page a returning champion sees, based on firmographic, account-stage, or intent signal in real time.
• A/B testing (VWO-class): multivariate testing across web, email and ads, sharing the same targeting layer as personalization rather than running as a separate optimization tool.
• Account and contact list building (Clay and Apollo-class): build target-account and contact lists from firmographic, technographic and intent filters against a first-party database, export-ready and sync-ready.
• Agentic Workflows: if-X-then-Y autonomous agents that act across the platform, for example if an account crosses an intent threshold, enroll it in a sequence, show a personalized banner and alert the AE, all in one rule.
• Agentic Outbound (Unify-class): signal-adaptive sequences that trigger the moment a job-change or intent signal crosses a threshold, with copy that can reference a champion's prior experience with the product, instead of a Slack alert your team still has to act on manually.
• Agentic Chat: live-site conversational AI that already knows the account and the contact, so a returning champion is greeted with context instead of a cold, anonymous chat window.
• AI SDR meeting routing (Chili Piper-class): inbound and outbound meetings auto-routed to the right AE, with native calendar booking, so a job-change alert converts into a scheduled meeting without a manual handoff.
• Native advertising activation: Google DSP, LinkedIn Ads, and Meta Ads driven directly off the same account list and signal, surrounding a champion's new buying committee across channels rather than relying on one email sequence.
• Technology scraper (BuiltWith-class): detects a prospect's tech stack on-domain, useful for confirming whether a champion's new company runs competitor tooling, feeding straight into targeting and personalization.
• First-party and third-party intent in one signal layer, plus built-in analytics and an AI RevOps reporting layer, so pipeline, attribution and account journey are native rather than a separate BI project.

Deep integrations: bi-directional sync with Salesforce and HubSpot (accounts, contacts, opportunities, campaigns), unlike Champify's Salesforce-only footprint, plus native Google Ads, LinkedIn Ads, and Meta Ads connections, Slack alerts and AE routing, Gmail and Outlook for sequence sends and meeting booking, Marketo and Pardot on the marketing-automation side, and warehouse exports to Snowflake, BigQuery, and Redshift. A remote MCP server is live at mcp.abmatic.ai with 28 read-only tools, so Claude and other MCP clients can query accounts, contacts, campaigns, revealed companies and reports directly with an account-scoped API key.

Best for: mid-market and enterprise B2B teams, typically a marketing or RevOps group of 3 to 25+ people at companies with 200 to 10,000+ employees, running target-account lists anywhere from 50 to 50,000+ accounts across tier-1 1:1 ABM, tier-2 1:few, and broad-based 1:many programs. Pricing starts at $36,000 per year, with enterprise tiers available, covering the full platform rather than a single signal category. Time-to-value is days, not months: the pixel goes live and first-party signal capture starts the same day it is installed.

Teams already running Champify or UserGems for job-change alerts often keep that feed flowing into Salesforce or HubSpot while they pilot Abmatic AI's deanonymization and activation layer on a subset of accounts, since both signal types land in the same CRM objects Abmatic AI already syncs with. See how that path works with a demo of the full platform.

Auto-Sourced ICP Contacts: when the account is warm but the Contacts tab is empty

Every SDR and AE starts the day on the same two questions: who do I reach out to, and when. Today the answer is usually a hunt. An account is clearly in market, the rep opens it, and the Contacts tab is empty. So they go digging through LinkedIn, or the signal quietly dies. That is the exact gap a job-change tool cannot close, because a job-change tool only knows the contacts already in your CRM.

Abmatic AI shipped Auto-Sourced ICP Contacts on 24 August 2026 to close it. When an account turns Warm or Hot and Abmatic AI has the company but has not deanonymized a contact on it, the platform sources the real decision makers itself, matched to the ICP you define at both account level and contact level, in the persona priority order you set. Tech-stack signals count as part of account fit, so an account running a rival product is read as a strong signal. Typical output is two to three good contact matches per qualifying account.

• Coverage: a work email and a LinkedIn profile on every sourced contact, and a phone number on 88 percent of them.
• Delivery: Slack alerts, your CRM on its normal sync, and in the app. Every sourced contact lands in a group called Auto-Sourced ICP Contacts.
• Provenance you can filter on: the contact record carries Source = Abmatic AI and Sub Source = auto_source, shown in the grid as "Auto Source", and it maps to a CRM property through the HubSpot integration's Sub Source field mapping. Nothing else writes that value, so it is a clean filter.
• Honest by design: a sourced contact has not personally visited your site. The account showed intent, the person is a matched decision maker at that account. Our first customer to roll this out asked for the provenance flag precisely so they could exclude these contacts from sequences whose copy says "you visited our site" and treat them as the different motion they are.
• Forward-looking only: it runs on accounts that heat up from turn-on onwards. It deliberately does not backfill a large batch across your existing account base.
• Setup: once, about five minutes, to supply the account-level and contact-level ICP definitions in priority order.

This is not a replacement for a contact database subscription in general. It is a triggered, ICP-matched sourcing motion attached to accounts that are already showing intent. The point-tool version of this play is four line items: a deanonymization vendor for the account signal, a contact-data vendor for the people, an enrichment or waterfall tool to fill gaps, and an ops person or workflow tool to join them on a trigger. Several vendors in this guide can source contacts. The difference here is that the signal, the sourcing, the ICP match, the grouping, the CRM write and the alert are one system on one trigger with one provenance flag. Book a demo to see it fire on a warm account.

Job-change signal alone versus signal plus identification

A job-change alert only matters if you can act on it, and in B2B that increasingly means knowing who else from that account is already on your site. In our own study of identified versus anonymous website visitors, IP-identified visitors submitted forms at 2.52%, roughly 2.4x the 1.07% rate of anonymous traffic, and the top-confidence identification tier converted at 7.55%, nearly 7x anonymous. A job-change tool that tells you a champion moved, but cannot tell you that three other people from the same new company visited your pricing page last week, leaves most of that lift on the table. Read the full breakdown in the identified vs. anonymous website visitors study.

Champify tells you a contact moved. UserGems does too, and reaches site visitors at the contact level on its Elite tier and through its Vector partnership. RB2B and Warmly tell you who is on your site right now natively. A platform that does all of this on the same identity graph, sources the decision makers when the contact record is empty, and then personalizes, sequences, chats, and advertises off the combined signal, is what turns an alert into pipeline. If reverse IP lookup and cookieless identification are new to your team, our reverse IP lookup explainer covers how the matching works.

How to choose

Start with budget and with what signal you are missing today.

• Under $2,000 a year and you just want names on your US traffic: RB2B at $79 to $199 per month is the lowest floor in this guide, and nothing else comes close on price.
• Salesforce shop, strong outbound motion already, the only gap is "alert me when a champion changes jobs": Champify at roughly $24,000 to $36,000 per year solves that narrow job well and is transparent about what it costs.
• You need multi-CRM, multi-signal and an agent layer, and budget is not the constraint: UserGems at $40,000 per year and up, understanding that contact-level web deanonymization sits on the $150,000 Elite tier.
• You want visitor ID plus real-time orchestration and you are already a HubSpot shop: Warmly, module by module from $10,000 per year, with the HubSpot ownership change factored into your roadmap risk.
• The real gap is broader: job-change signal, anonymous visitor identification, auto-sourced decision makers, personalization and activation all living in one system instead of three or four subscriptions plus the ops time to wire them together. That is the case for a platform like Abmatic AI at $36,000 per year, the same price as Champify Pro.

For teams weighing that tradeoff against the wider category of B2B data and enrichment tools, it is also worth comparing against our Clearbit alternatives for B2B guide, which covers the enrichment and identification lane beyond job-change signal specifically. Book a demo to see how Abmatic AI's signal, identification, sourcing and activation layers work together on your own traffic.

Frequently asked questions

How much does Champify cost?

Champify publishes three tiers on its own pricing page: Core starting at $2,000 per month, Pro starting at $3,000 per month, and Enterprise starting at $6,000 per month. On the standard annual contract that is roughly $24,000, $36,000 and $72,000 per year. Each price is a floor, because every tier is capped on CRM contact volume (15,000, 40,000 and 150,000 contacts respectively) and Champify sells add-ons for contact volume, Insider AI accounts, Calendar Sync users, New Executive Hires monitoring and CRM Clean throughput without publishing add-on prices.

Does Champify publish list pricing?

Yes. Champify is one of the minority of vendors in this category that shows dollar figures publicly, which makes budgeting far easier than with vendors like 6sense, Demandbase or ZoomInfo, none of which publish a list price. What Champify does not publish is add-on pricing, so the number you plan against is the tier floor plus a quote for anything beyond it.

Is Champify expensive for what it does?

That depends entirely on what else you are buying around it. At roughly $24,000 to $72,000 per year, Champify is priced like a platform but scoped like a signal source: job-change, champion and executive-move tracking, lost-deal re-engagement, contact hygiene and Insider AI, delivered into Salesforce. If you are also paying separately for visitor identification, personalization, sequencing, chat and ads, compare the total. Abmatic AI's full platform starts at $36,000 per year, the same as Champify's Pro tier.

What does Abmatic AI cost compared to Champify?

Abmatic AI pricing starts at $36,000 per year with enterprise tiers available, covering the full platform: signal capture, account and contact deanonymization, auto-sourced ICP contacts, personalization, A/B testing, list building, outbound, chat, meeting routing, advertising and analytics. Champify starts at roughly $24,000 per year at Core and reaches about $72,000 at Enterprise, covering job-change and relationship signal. Compare on which capabilities each price point actually includes, not on the sticker alone.

Is Champify worth it for a Salesforce-only sales team?

Champify is a well-built, focused tool for the specific job of tracking champions, executives, and past customers as they change companies, and the Salesforce-native install and managed package make it straightforward to deploy for a team already standardized there. Unlimited Salesforce users are included on every plan. For teams that also need to identify anonymous website visitors, or want the signal to trigger outreach automatically rather than land as an alert, it leaves a gap you will fill with other subscriptions.

What is the main difference between Champify and Abmatic AI?

Champify tracks one signal category, job-change and relationship movement, and delivers it into Salesforce as an alert with Insider AI context attached. Abmatic AI captures the same signal as one input among many, then adds account and contact-level deanonymization of anonymous website traffic, auto-sourced ICP contacts on warm accounts, web personalization, and full activation across outbound, chat and ads on one shared identity graph, so a champion moving to a new company can trigger a personalized, automated play rather than a notification your team still has to act on.

Do I need Champify and a website visitor identification tool, or can one platform do both?

Champify, UserGems, RB2B, and Warmly each cover part of this. Champify and UserGems track job-change signal for known CRM contacts, with UserGems adding contact-level visitor identification on its Elite tier and through its Vector partnership, while RB2B and Warmly identify anonymous visitors on your site natively. Running these categories today usually means multiple subscriptions and separate alert feeds. Abmatic AI captures job-change signal, anonymous account and contact deanonymization, and auto-sourced ICP contacts natively in one platform, so every signal type feeds the same activation layer.

Which Champify alternative is cheapest?

RB2B, by a wide margin. Its free tier gives 150 monthly resolutions at company level, Starter is $79 per month for person-level LinkedIn profiles on US traffic, Pro is $149 per month for business emails and integrations, and Pro+ is $199 per month for premium resolution. It is also the narrowest tool in this guide: no job-change tracking, no personalization, no sending, no ads. Cheapest and most complete are different questions.

Which Champify alternative is easiest to implement?

RB2B has the lowest friction, with a fast setup and a free tier for basic company-level identification of US traffic; person-level identification starts on the $79 per month Starter plan. Champify and UserGems both require CRM-side setup (Salesforce for Champify, Salesforce or HubSpot for UserGems) plus onboarding for the relationship-tracking data model, and UserGems charges a $3,000 to $10,000 implementation fee depending on tier. Abmatic AI is days, not months: the pixel and first-party signal capture go live the same day it is installed, and Auto-Sourced ICP Contacts takes about five minutes to configure.

Does Champify identify anonymous website visitors?

Website visitor deanonymization is not part of Champify's published product scope. Champify runs on Salesforce records, tracking known CRM contacts as they change jobs plus lost-deal and executive-hire signals; its native integrations are Salesforce, Gong, Calendar and Slack. For anonymous visitor identification, teams typically add a tool like RB2B or Warmly, or move to a platform like Abmatic AI that includes job-change signal, native contact-level deanonymization, and auto-sourced ICP contacts together.

Does Champify integrate with HubSpot?

Not natively. Champify describes itself as native to Salesforce and an official Salesforce ISV partner, and its native integrations page lists Salesforce, Gong, Calendar and Slack with no HubSpot connection. HubSpot-first teams route Champify data through Salesforce. UserGems and Abmatic AI both sync bi-directionally with Salesforce and HubSpot natively.

Can I run Abmatic AI alongside Champify or UserGems instead of replacing them?

Yes. Both Champify and UserGems sync signal into Salesforce or HubSpot, and Abmatic AI integrates bi-directionally with both CRMs, so the existing job-change feed keeps flowing while Abmatic AI adds anonymous visitor identification, auto-sourced ICP contacts and activation on top. Many teams pilot this way before deciding whether to consolidate onto a single platform. Book a demo to map the overlap against your current stack.

Sources

Every third-party claim on this page is sourced to the vendor's own pages, checked 24 August 2026. Pricing and packaging change often, so confirm current figures directly before signing anything.

• Champify pricing, tiers, contact limits and add-ons: champify.io/pricing
• Champify Insider AI: champify.io/platform/insider-ai
• Champify native integrations and Salesforce ISV status: champify.io/integrate/native-integrations
• UserGems pricing, tiers, agents and implementation fees: usergems.com/pricing
• UserGems and Vector contact-level visitor identification partnership: usergems.com/news/vector-partnership
• RB2B plans, credits and match-rate coverage: rb2b.com/pricing
• Warmly module pricing and agent tiers: warmly.ai/p/pricing
• HubSpot acquisition of Warmly, announced 30 June 2026: warmly.ai/p/blog/warmly-is-joining-hubspot