Structify pricing: what’s included in the Start-up plan ($350/month) vs Enterprise, and how do monthly credits work?
AI Revenue Analytics

Structify pricing: what’s included in the Start-up plan ($350/month) vs Enterprise, and how do monthly credits work?

12 min read

For most RevOps and data leaders, pricing pages raise more questions than they answer. If you’re evaluating Structify, you’re probably asking two things: what do I actually get at $350/month on the Start-up plan vs Enterprise, and how do the credits work so I can predict cost as usage grows?

Quick Answer: Structify’s Start-up plan is a fixed $350/month (or $3,500/year) with 1–3 seats, $150 in monthly usage credits, and all the core capabilities you need to connect tools, structure messy data, and ship revenue dashboards. Enterprise is a custom, form-fit package with flexible seats, unlimited credits, and enterprise-grade support and governance. Credits are a “pay only for what you use” meter that get drawn down as Structify processes and analyzes your data.

Why This Matters

If you own pipeline, forecasting, or budget decisions, you can’t afford a black-box pricing model. You need to know:

  • Can my team get full value from Structify on the Start-up plan, or do we need Enterprise out of the gate?
  • How do monthly credits translate into real work—like syncing Salesforce, extracting tables from contracts, or scraping competitor sites?
  • What happens when usage spikes (end-of-quarter, board prep, big campaign analysis)?

Clarity here means you can commit to Structify as a core revenue data platform—without worrying that one heavy month of analysis will blow up your budget.

Key Benefits:

  • Predictable base cost: The Start-up plan gives you a clear $350/month price with built-in credits, so you know your minimum spend.
  • Scale-as-you-go usage: Credits let you ramp up data volume, connectors, and analysis without renegotiating contracts every time.
  • Fit-to-org flexibility: Enterprise adds unlimited credits, more seats, and stronger governance so larger teams can standardize revenue reporting across the company.

Core Concepts & Key Points

ConceptDefinitionWhy it's important
Seats & rolesThe number of users who can log into Structify, with permissions controlled via user roles and group-based access.Determines how many RevOps, GTM, and data team members can self-serve insights instead of filing tickets.
Monthly creditsA usage-based balance (e.g., $150/month on Start-up) that Structify draws down as it processes, enriches, and analyzes your data.Aligns cost with actual work done—more extractions, merges, and web scrapes consume more credits, but you’re never paying for idle capacity.
Plan tier (Start-up vs Enterprise)Start-up is a standardized bundle for smaller teams; Enterprise is a custom package with flexible seats and unlimited credits.Lets you start small with full functionality, then move to a tailored, “no ceiling” setup as you standardize Structify across the org.

What’s Included in the Start-up Plan ($350/month)

The Start-up plan is built for teams that are serious about revenue analytics but don’t want to spin up a data engineering project just to get answers.

Price & seats

  • Price (monthly): $350 per month
  • Price (annually): $3,500 per year (pay annually and save vs monthly)
  • Seats: 1–3 seat(s) — enough for a RevOps lead, a marketing owner, and a data partner to work together.

Credits & usage

  • $150 in credits per month included
  • Credits are automatically replenished each month when your billing period resets.
  • As Structify processes your data—connecting tools, extracting from documents, scraping web sources—your usage draws down from that balance.

Core capabilities included

From the Start-up tier, you get the same core engine that powers larger deployments:

  • Unlimited custom connectors
    Connect Salesforce or HubSpot, ad platforms, customer support tools, call recording systems, and more. You’re not nickel-and-dimed by connector count.

  • Data exports
    Push structured tables, cleaned records, and analysis outputs back into your systems or warehouse. Use Structify as both analysis layer and data pipeline.

  • Priority email & Slack support
    Get help quickly when you’re setting up connectors, defining revenue metrics, or debugging entity matches.

  • Team Wiki
    A shared, living “Business Wiki” where you define what pipeline, ARR, stages, and other key metrics mean. This powers consistent, self-serve answers.

  • Data documentation
    Keep a semantic layer over your fields and sources, so dashboards don’t break every time you add new fields or tweak your CRM.

  • Group-based access control
    Control who can see what—RevOps vs Leadership vs SDR managers—without handing everyone raw access to everything.

  • Company branding
    Share dashboards and outputs that look like they belong to your company, not a third-party tool.

For most high-growth B2B teams, this is enough to go from scattered exports and spreadsheets to “ask once in Slack, get the real answer with charts.”

What’s Included in the Enterprise Plan

The Enterprise plan is built for orgs where Structify becomes the default way the company answers revenue questions—from board decks to front-line team dashboards.

Price & seats

  • Price: Custom (based on seats, scale, and governance needs)
  • Seats: Flexible seats — you’re not capped at 3 users; you can bring in RevOps, marketing, CS, finance, and regional leadership.

Credits & usage

  • Unlimited credits
    Use Structify as heavily as you need—across business units, regions, and product lines—without watching a usage meter.

This matters when:

  • You’re pulling in large historical datasets (years of CRM and product usage).
  • You’re running ongoing competitor and market scraping to track pricing changes, new SKUs, and positioning.
  • You’re extracting from huge volumes of documents—contracts, transcripts, decks—across the enterprise.

Enterprise-grade capabilities

Enterprise includes all Start-up features plus:

  • 24/7 support
    Around-the-clock help during big go-lives, quarter-end pushes, or incident response.

  • Advanced governance (via data documentation, group-based access, and Structify’s semantic layer)
    Ensure consistent definitions and permissioning across teams, so data is self-serve without chaos.

  • Form-fit implementation
    Structify is configured around your specific stack, entity models, and governance requirements—not the other way around.

If you’re consolidating multiple CRMs, running international go-to-market motions, or answering revenue questions for an exec team weekly, Enterprise is typically the better fit.

How Monthly Credits Work

Structify uses a credit-based usage model so you pay only for what you use, we’ll handle the rest. Think of credits as the fuel that powers all the work Structify does on your behalf.

At a high level:

  • Each month, your plan includes a credit balance (e.g., Start-up: $150 in credits/month).
  • As Structify ingests, cleans, merges, extracts, and analyzes data, it draws down from that balance.
  • If you need more capacity than your included credits, you can purchase additional credits or move to Enterprise for unlimited usage.

While the exact per-action pricing can change over time, here’s the model you should have in your head.

What draws down credits?

Typical workloads that consume credits:

  1. Connecting and syncing tools

    • Ingesting data from Salesforce, HubSpot, Zendesk, Intercom, Marketo, Google Ads, etc.
    • Larger volumes and more frequent syncs consume more credits.
  2. Document processing

    • Extracting tables, text, numbers, and charts from PDFs, contracts, pitch decks, and call transcripts.
    • Turning those into structured tables you can query.
  3. Web scraping and competitor monitoring

    • Crawling competitor pricing pages, feature pages, review sites, and other web sources.
    • Regular monitoring (e.g., daily or weekly checks) uses credits as pages are scraped and parsed.
  4. Data cleaning, merging, and enrichment

    • Normalizing and deduplicating entities (e.g., “Acme Corp” vs “ACME Corporation”).
    • Building “1.5 million structured connections” like IQ500 did with Structify.
  5. Plain-English analysis and visualization

    • Running analysis questions like “Why are enterprise deals taking longer to close this quarter?”
    • Generating charts, graphs, and dashboards that you can share and reuse.

How credits replenish

  • On the Start-up plan, your $150 in credits refresh automatically each billing cycle.
  • Unused credits policies depend on your contract, but operationally you should assume credits are there to be used—not hoarded.
  • On Enterprise, credits are unlimited, so you focus on outcomes, not meters.

How to estimate usage

To avoid surprises, anchor your estimate to:

  • Number of core systems you’ll connect (CRM, marketing, CS, product, finance).
  • Document volume you need structured (contracts, transcripts, decks).
  • Web sources you want to monitor (competitor sites, marketplaces, review sites).
  • Team behavior: how many people will be asking follow-up questions and iterating on dashboards.

If you’re running a lean RevOps stack with a few core systems and some key documents, the Start-up credits are usually enough. If you’re planning a company-wide data consolidation plus ongoing external monitoring, Enterprise’s unlimited credits usually pencil out better.

How It Works (Step-by-Step)

Structify’s pricing maps cleanly to its 3-step workflow: Bring In → Clean/Merge/Analyze → Visualize/Share.

  1. Bring In Any Data Source

    • On both Start-up and Enterprise, you can set up unlimited custom connectors.
    • Connect CRM, ad platforms, ticketing, call logs, and upload PDFs, decks, and transcripts.
    • Start-up: usage for these ingests draws down from your $150 credit balance.
    • Enterprise: ingests are covered by unlimited credits.
  2. Clean, Merge, and Analyze

    • Structify’s AI normalizes, deduplicates, and merges your data into a coherent revenue view.
    • You ask questions in plain English (including in Slack) and treat analysis like a conversation, not a query builder.
    • All those transformations and queries consume credits on Start-up; in Enterprise, you don’t have to think about it.
  3. Visualize and Share Insights

    • Structify automatically generates charts, graphs, and dashboards that update as data changes.
    • You export structured tables back to your systems, or share dashboards with leadership.
    • Visualizations themselves are light on usage; the heavy lifting (ingest + processing) is what mainly touches credits.

Start-up vs Enterprise: When to Choose Which

Here’s a practical way to decide.

Start-up ($350/month) is usually right if:

  • You have a small core team (1–3 users) driving revenue analytics.
  • You want to replace messy spreadsheets and ad-hoc exports with a single, governed view of pipeline and ROI.
  • Your data sources are meaningful but not massive: e.g., 1 CRM, a handful of ad platforms, 1–2 support tools, and key contract/transcript volumes.
  • You’re okay with a usage meter as long as your base cost is predictable.

Enterprise (Custom, unlimited credits) is usually right if:

  • You need more than 3 seats across RevOps, marketing, CS, finance, and leadership.
  • You’re running multi-region or multi-BU motions and want Structify to be the standard across all of them.
  • You expect heavy document processing and ongoing web and competitor monitoring at scale.
  • You want 24/7 support and the comfort of unlimited credits so teams can ask questions and run analyses freely.

Common Mistakes to Avoid

  • Assuming Start-up is “limited functionality.”
    The Start-up plan includes unlimited connectors, exports, the business wiki, data docs, and governance basics. It’s not a toy; it’s the full engine with usage caps.

  • Underestimating credit needs when planning big migrations.
    If you’re pulling in years of CRM history or thousands of documents at once, talk to the Structify team. It may be more cost-effective to move straight to Enterprise or purchase additional credits for the migration window.

Real-World Example

Imagine a Series B SaaS company with a small RevOps team:

  • Tools: Salesforce, HubSpot, Google Ads, LinkedIn Ads, Zendesk, Gong, plus a pile of PDF contracts and call transcripts.
  • Problems: No one can answer “What’s causing enterprise deals to drop in Q4?” without days of manual export-and-vlookup.

They start on the Start-up plan:

  • Connect all tools using unlimited custom connectors, feeding everything into Structify.
  • Use the Team Wiki and data documentation to define what “enterprise,” “pipeline,” and “SQL” mean so everyone is aligned.
  • Run document extraction to pull MRR, terms, and renewal clauses out of contracts and call transcripts.
  • Use their $150 monthly credits to process ingests and run analyses like:
    “Which marketing channels drive the most pipeline that actually closes within 90 days?”

Within a few weeks, they’ve replaced a patchwork of spreadsheets with dashboards that update automatically and can be queried in Slack.

Six months later, they raise a Series C and expand globally. Now they:

  • Add more GTM leaders and regional managers as users.
  • Increase the frequency of web scraping to monitor competitor pricing and packaging weekly.
  • Pull in bigger data volumes from new regions and CRMs.

At that scale, the team moves to Enterprise:

  • Seats expand to cover RevOps, marketing leadership, CS ops, and finance.
  • Unlimited credits mean they can process large spikes in data and external monitoring without worrying about usage.
  • 24/7 support ensures quarter-end and board prep never stall because of data bottlenecks.

Pro Tip: If you’re on the fence between Start-up and Enterprise, scope your first 90 days of usage: list the systems to connect, how much historical data you’ll ingest, and how many documents you’ll process. If that list feels “one team, one motion,” Start-up is usually enough. If it reads like “company-wide standard,” jump to Enterprise so credits never become a constraint.

Summary

Structify’s pricing is built around a simple idea: predictable base cost, pay only for what you use, and scale when you’re ready.

  • Start-up ($350/month or $3,500/year) gives 1–3 seats, $150 in monthly credits, unlimited custom connectors, data exports, a team wiki, data documentation, access control, and priority support—everything you need to unify scattered revenue data and ship dashboards that don’t break every quarter.
  • Enterprise (Custom) adds flexible seats, unlimited credits, 24/7 support, and form-fit governance so larger organizations can standardize how they answer revenue questions across teams and regions.
  • Credits function as the fuel behind Structify’s work—connecting tools, processing documents, scraping the web, and running analysis—and either reset monthly (Start-up) or are effectively unbounded (Enterprise).

If your goal is to stop guessing why deals win or lose and start answering revenue questions in a single place, the real decision is simple: Start-up to prove value with your core team, Enterprise when you’re ready to make Structify the way your whole company uses data.

Next Step

Get Started