Data Accelerator Program

The Data Accelerator Program is our high-touch partner model for data, analytics & research providers, sellers and owners who want to generate more sales into institutional investment firms, without building a full financial sales + deal-ops stack.

Jordan Hauer (CEO & Founder of Amass Insights) has been in the alternative data trenches for more than a decade, partnering with dozens of emerging data sources and bringing them to market with hedge funds and institutional investors.

Selling Data is Hard (what problems we solve)

You're sitting on a treasure trove of valuable data, but selling to hedge funds and asset managers is unlike any other market:

• Cold outreach rarely works (and can backfire)
• Investors tend to immediately lump together data providers in the same category
• Trials drag on with no decision framework and minimal feedback
• Legal, compliance, and DDQ work becomes a bottleneck
• The longer sales cycle eats bandwidth you don’t have

To add to the complexity, most data providers aren't solely focused on the asset management industry, and therefore, one person may be simultaneously marketing, selling and managing the accounts for data buyers in various industries with vastly different needs, goals and relationship networks.

Amass Insights is built specifically to solve these issues, perfecting a model that protects buy-side trust and monetizes your data transparently and repeatably.

Data Monetization Pipeline (what we actually do)

The Data Accelerator Program is our data monetization execution layer (not just content, events or resources): we take the lead in selling your data products to the financial industry, helping you move from raw/processed data → investor-ready data product → data buyer lead-gen → relationship-building with qualified leads → trials, licenses, support and renewals.

This program is designed as a turnkey workflow, largely done on-your-behalf while keeping you in-the-loop:

• Evaluation & Profiling: competitive research, compliance first-pass, use case exploration, early value signals
• Packaging & Positioning: collateral, documentation, pricing guidance, transformations where needed
• Matching, Nurturing & Selling: phased contextual outreach to generate qualified leads, intelligence-sharing, trial + license process
• Delivery & Support: trial logistics, billing support, contract workflows, ongoing coordination

Partner Expectations (what to expect from us)

Guaranteed (things we control)

• GTM-ready materials (data profile, narrative, documentation collection into an intro package)
• A defined targeting and outreach plan (ICP + buyer personas + timeline & sequencing)
• Trial + licensing workflow setup (so deals don’t die in ops)
• A regular cadence of reporting, advice and feedback loops (what buyers said + what we can improve + what changed)

Best-effort (market-dependent outcomes)

• Exact number of meetings, speed to close, and revenue amount
• Renewal timing and expansion
• Buyer behavior during trials
• Activation of our vast network on-your-behalf

Partner Fit (who this is for)

We work with a small, highly-curated & vetted group of providers at any given time because our reputation with funds depends on quality and fit.

Providers that are a good fit for the Data Accelerator Program usually have one or more of the following:

• Own a differentiated data, analytics or research product valuable to an institutional investor, but don't want to build a full financial sales + rev-ops team/stack
• Have blind spots in distribution to the asset management industry, and may not have time to build relationships with, qualify and sell to every segment of data buyer prospect
• Clean delivery (AWS S3 / SFTP / Snowflake / Databricks / API)
• Ideally 2–3+ years of history (varies by use case)

Amass Advantages (what makes us different)

We are not a marketplace where your dataset “sits and waits.”
We actively orchestrate the data monetization process.

What we bring:

• A structured provider profile and taxonomy system (how we assess fit and readiness)
• A real-world understanding of how different fund types evaluate and deploy data (quant, fundamental, multi-strat, etc.)
• A battle-tested workflow that anticipates the institutional hurdles: discovery, meetings, compliance DDQs, trials, procurement, support, renewals

If you want a directory listing, you can register for free. If you want a repeatable GTM + deal process, this is it.

Reserve an Accelerator Slot (how to not miss out)

Due to limited slots available, for a limited time we're offering those that already know they want in to reserve below with a refundable deposit. We'll apply it to the setup/onboarding fee after we agree to the partnership.

Apply to Partner with Us (how to join)

We review provider applications on a rolling basis as cohort slots open. There are two ways to start:

1. Fastest: complete the onboarding form below (2–3 minutes).
2. Old-school: if you prefer paperwork first, email us and we'll send the agreement for review/approval and onboard from there.

To fasttrack your application, please gather:

1. A brief product overview / one-pager
2. Data dictionary or schema documentation
3. 2–3 rows of sample data (even synthetic is fine)
4. Your current pricing expectations (or constraints)
5. The overall status of your current data sales motions to the asset management industry

Apply here if the form below isn't loading or for a desktop-friendly version.

After you Apply (what happens immediately)

• We measure & confirm fit + scope.
• We align on ICP + use cases + packaging plans + our partnership terms.
• We share a spreadsheet with a tailored shortlist of initial targets.
• We setup our communications channel, schedule kickoff, our working cadence + materials checklist.

Then we move into the onboarding timeline below.

Program Packages (what you get/give)

In each package, Amass asks for:

• a modest setup/onboarding fee to bridge the gap between our significant upfront efforts to generate interest in your data products and the first data license we close on your behalf, and
• a minority portion of the revenue we generate of your data products to the investors we're regularly in touch with.

(Final pricing & revenue share can be adjusted per provider maturity and workload.)

Onboarding Timeline (what to expect)

Every dataset is different, but a typical rollout looks like this:

Weeks 1–2: Intake & positioning

• Review documentation, methodology, and sample data
• Assess market fit against current buyer demand
• Clarify differentiation vs. alternatives and define the initial ICP

Weeks 2–4: Materials & readiness

• Refine one-pager, narrative, and investor-ready documentation
• Map use cases to fund types (quant, fundamental, event-driven, etc.)
• Prep answers for common objections + procurement hurdles (DDQs/legal/compliance)

Weeks 4–8: Initial outreach + first trials

• Launch outreach to a first cohort of target buyers (fit-dependent)
• Manage trial setup, DDQs, and legal/procurement workflows
• Establish pipeline reporting cadence + incorporate buyer feedback quickly

Months 2–5: Conversion + expansion

• Negotiate and sign early adopter licenses
• Broaden outreach and expand trial cohorts where signal is strongest
• Tighten positioning based on what’s actually converting

Ongoing

• Structured trial windows with decision criteria (avoid endless “testing purgatory”)
• Monthly reviews: pipeline, buyer feedback, and repositioning opportunities
• Optional community/event exposure when it strengthens credibility (not noise)

Partner Responsibilities (who handles what)

Data Categories in Demand (what funds consistently buy)

Demand changes rapidly, but these are consistently active areas:

• Consumer spend & behavioral signals (such as transactional or panel-based data)
• Macroeconomic indicators (such as labor market intelligence through job postings or esoteric government filings)
• Web/app engagement signals (clickstream and app usage)
• News/media signals beyond basic sentiment (perception, trust, native-language coverage)
• IP/innovation data (patents mapped to public-company hierarchies)
• Alternative corporate data (UCC, trademarks, litigation, etc.)

Our Community & Events (what else moves the needle)

Partners get access to curated amplification pathways (events + content) designed to build credibility without turning it into a pitch-fest:

• The Data Market Network (DMN):
  • Data Provider Club: a community of your peers from complementary providers to competitors
  • Data Tool Club (Coming Soon!): a community of products & resources to increase the value of your own data products
• Investor dinners / premium events: invitations are curated & fit-dependent and cannot be guaranteed, unless you'd like to sponsor an event.
• Thought-leadership opportunities (when credible and additive)

Guardrails (why this works)

We don’t dump a target buyer list. Our business exists because we've been able to closely protect buy-side trust.

• Opt-in follow-ups and contextual intros only
• Build real relationships (no pitch-fests)
• We prioritize long-term repeatability over one-off chaos

FAQ

Is this the same as the Data Provider Club?
No. Data Provider Club = community + shared playbooks. Data Accelerator Program = hands-on execution.

Do I need to be a subscriber/member first?
No, but many partners also keep Bronze/Silver for the resource engine.

Do you require exclusivity?
Typically no. You retain freedom to sell independently. We do require standard non-circumvention around deals we originate.

What if my data isn’t fully ready?
We’ll tell you directly. Some providers launch immediately; others benefit from a couple months of prep before going wide.

Can my team be included?
Yes. Team access is common; details are handled in the partner agreement.