Demandbase infers intent from its own ad network, IPs and cookies; Evergrowth reads the open web, account by account.
Probabilistic topic intent
EvergrowthResearch against the questions you write
Each answer dated, with its reasoning
Its own B2B DSP for display, native, video, CTV and in-app ads, audience sync to LinkedIn, Meta, X, Reddit and Google, IP identification of anonymous visitors, and website personalization.
Choose Evergrowth ifRevOps builds the signals your deals turn on, as research questions. Agents answer them account by account, with the reasoning, and turn each answer into an account plan and a play.
Each card comes from Demandbase's own pages and blog, read 1 to 5 Oct 2026.
Bidstream intent from the ad traffic its DSP sees across 1M+ publishers, on 865K+ intent keywords.
IP identification of anonymous visitors, across 3.7B+ IP addresses.
Its own B2B DSP for display, native, video, CTV and in-app, with audience sync to LinkedIn, Meta, X, Reddit and Google.
AI Chat, the Account Intelligence Agent and the Email Agent, and its MCP in ChatGPT, Claude and Copilot.
In Demandbase, it comes from the intent its own network scores. In Evergrowth, it comes from the signals RevOps builds, answered account by account and turned into a plan and a play.
The next step comes from its own data
Intent from the ad traffic its DSP sees, scored into surges. Its AI drafts from the same data.
Its Account Intelligence Agent also reads news and Gong; none of its 10 MCP tools searches the web.
EvergrowthThe next step comes from signals you build
RevOps builds the signals that matter to your deals as research questions. Agents answer them account by account, with the reasoning and the sources they found, and turn the answers into an account plan or a play.
The agentsAnswer each signal account by account, with the reasoning, then write the plan and the play
Research runs only on ICP Yes accounts; positive answers feed the signal score and can fire play generation.
Each signal is a question your deals turn on, such as a CRM consolidation or a new RevOps leader. RevOps writes it once and picks the verticals it runs on, or describes it to Eva, who writes the agents and adds them to the list.
The agents read each account's own pages, careers pages and news, and answer each signal with the date it was found and a Source and reasoning link. When nothing is found, the answer says Not found.
Research reruns daily, weekly or monthly. A workflow can start when an account newly shows a buying signal: the scheduler checks every 5 minutes, so the plan and the play follow the signal, not the calendar.
Each account's score is the share of its signals that came back Yes, on ICP Yes accounts only. Reps work the list from the top, and a positive answer can fire play generation.
RevOps tells the plan agent which signals to anchor on. It writes the plan from what those agents found: why the account matters now, where to start and the first steps for the rep.
Plays are written only for contacts who fit a persona, IBP Yes, from the account's research answers. The cold email names the signal it came from.
Demandbase's column comes from its own pages, Evergrowth's from the product itself. Checked 5 Oct 2026.
| Dimension | | Evergrowth |
|---|---|---|
| Signals | ||
| Signal source | Its own networkIts own intent network, IP and cookie identity graph and first-party engagement; optional G2, TrustRadius or Bombora feeds, each on its own license | Each account's own pagesAgents read each account's own pages, PDFs, careers pages and news |
| What a signal is | A topic surgeA probabilistic surge on 865K+ intent keywords | An answer, with reasoningAn answer to a question you wrote, dated, with its reasoning |
| Who defines the signals | Its keyword taxonomyIntent keywords from its own taxonomy, 865K+ of them | You doRevOps, as research questions, per vertical; or Eva writes them |
| Account score | Pipeline PredictA score from intent and engagement signals | Signal scoreThe share of your signals answered Yes, on ICP Yes accounts only |
| From signal to next step | ||
| Account plan | AI summariesIts Account Intelligence Agent answers from its data, your CRM, Gong and news | From your signalsA plan written from the answers to the signals you pick |
| Outreach | Drafts from its dataEmail Agent drafts emails, LinkedIn messages and call talking points from its data, CRM and Gong | Plays from the researchEmail and cold call plays from the research answers, only for contacts who fit a persona |
| Triggers | On its own dataA Next Gen Orchestration agent, listed on its AI agents page (5 Oct 2026) | A new Yes starts a workflowA workflow starts when an account newly shows a signal, checked every 5 minutes |
| Who it reaches | ||
| Account identification | Site visitors by IPIP identification of anonymous site visitors, 3.7B+ IP addresses | Not in the productNone: accounts come from CSV, Account Finder, your CRM or Eva |
| Buying group | From CRM historyBuying Group Setup Agent builds groups and personas from CRM history; recommended people are modeled | From your persona cardsContact Finder searches per persona card and checks each person against it |
| Contact data | 200M+ contacts200M+ contacts, 122M+ validated emails, 58M mobile numbers | 30+ vendors, billed when foundEmail/Phone Finder: 30+ vendors in 1 waterfall, billed only when it finds one |
| Beyond the rep | ||
| Ads | Its own B2B DSPDisplay, native, video, CTV and in-app, plus audience sync | Not in the productNo ad buying |
| Website personalization | An add-onSold with Forms Enrichment as 1 add-on | Not in the productNo website personalization |
| Coaching and roleplay | Not foundNo roleplay or coaching found on its pages | Built inVoice Roleplay and Roleplay Coach |
| CRM | 3 CRMs, 2-waySalesforce, HubSpot and Dynamics 365, 2-way | 6 CRMs, 2-way2-way sync with 6 CRMs, written back to the fields RevOps maps |
| GDPR | A DPACustomers run consent under its DPA | 2 gatesPeople searched only at ICP Yes accounts, researched only once they fit a persona |
Evergrowth's column: the product as it ships, checked 5 Oct 2026.
Their words, from their own story. Funding rounds and office moves mean little in tax, so IGEN built research agents on its own triggers and writes each message from what they find.
“The best type of outbounding is trigger-based outbounding. So something has happened at a company, therefore that person's more likely to interact with my messaging.”
If your reps need to know why an account matters now and what to do about it, yes. Demandbase scores intent from its own network. Evergrowth answers the signals RevOps builds, account by account with the reasoning, and turns each answer into an account plan and a play.
Its AI answers from its own data: Demandbase intent and engagement, your CRM, Gong and news. None of its 10 MCP tools searches the web. Evergrowth's agents read each account's own pages against the signals you write, and give each answer its date and reasoning.
Yes. RevOps writes each signal as a research question and picks the verticals it runs on, or asks Eva to write them. Positive answers feed the account's signal score, can start a workflow, and can fire play generation.
No. Evergrowth has no ad buying, no IP identification of site visitors and no website personalization. If marketing needs those, that is Demandbase's work. Evergrowth replaces the sales side: the signals, the plan and the play.
Your CRM data, research outputs and agent activity are never used to train or fine-tune models. Not by us, not by our providers.
Each workspace is logically isolated, so your data is never accessible to another customer.
If you cancel, your data is returned or deleted, your choice. If you make no request, all personal data is permanently deleted within 30 calendar days.
The detail, the sub-processors and the DPA are on Security and trust.
Under the MSA, everything you upload and everything the agents produce from it is yours.
A live walkthrough: the signals your deals turn on, answered on your accounts with the reasoning, and turned into plans and plays.
Request a demo