The category of standalone, modern PLG lead-scoring tools has thinned out dramatically. If you evaluated this space two years ago, most of the names on your shortlist now belong to someone else.
The consolidation, in order
- HeadsUp → Hightouch (November 2023). Absorbed into a broader data-activation platform.
- Endgame (November 2024) pivoted away from product-led sales to an AI assistant for enterprise sellers.
- Koala (July 2025) announced it would wind down after Cursor hired several of its engineers. The product shut down that September.
- MadKudu → HG Insights (August 2025). The predictive lead-scoring pioneer is now part of HG Insights' Revenue Growth Agentic Ecosystem, bundled with market intelligence and review data.
- Pocus → Apollo.io (March 2026). The product-led revenue-intelligence tool is being folded into Apollo's AI-native GTM operating system alongside outbound execution and contact data.
In roughly two years, a crowded category of independent scoring tools collapsed into a handful of enterprise GTM suites.
What that means for buyers
When a scoring tool becomes a feature of a larger suite, its roadmap stops being set by the scoring problem. It's set by the suite's priorities: outbound, contact data, advertising. For teams that bought a focused scoring tool, the product they evaluated is not the product they'll be using in a year.
It also raises the cost of entry. The remaining options skew enterprise: annual commitments, implementation cycles, and pricing built around a platform rather than a single job.
If you use Pocus, MadKudu, HeadsUp, Endgame, or Koala
Pocus customers. Apollo.io acquired Pocus in March 2026 and says it will fold Pocus into Apollo's GTM platform. Before your next renewal, ask your account team three things:
- Contract: will your current Pocus contract renew as Pocus, or convert to an Apollo plan with different pricing and terms?
- Roadmap: are the signal and scoring features you use today on the roadmap for the combined product, or replaced by Apollo's own features?
- Your data: can you export your scoring history, signal mappings, and account lists in a format another tool can import?
If any of the three answers is "not yet decided," get that in writing now. A transition is easier to negotiate before the renewal date than after it.
MadKudu customers. HG Insights acquired MadKudu in August 2025. MadKudu is now one part of HG Insights' wider platform, alongside HG Insights' market intelligence and TrustRadius review data. Ask the same three questions listed for Pocus above: contract, roadmap, and your data. The roadmap question matters most here: find out whether MadKudu's scoring stays a product you can buy on its own, or becomes a feature you only get inside a larger HG Insights package. As with Pocus, get any "not yet decided" answer in writing before your renewal date.
HeadsUp customers. Hightouch acquired HeadsUp in November 2023, and the HeadsUp team went on to build identity resolution inside Hightouch. There is no HeadsUp renewal left to negotiate.
Endgame customers. Since November 2024, Endgame's product has been an AI assistant for enterprise sellers, not product-led sales scoring. If you still use Endgame, check whether the scoring you bought it for is still part of the product.
If you replaced HeadsUp or Endgame in a hurry, check whether the replacement scores accounts from your product usage, or only identifies who visited your website. Those are different jobs, and a tool that does the second can look like it does the first during a demo.
Koala customers. Koala shut down in September 2025, after Cursor hired several of its engineers. Koala named Common Room as its migration partner, and Common Room matched Koala's pricing for customers who moved. If you took that path, the consolidation has reached you a second time: Zoom acquired Common Room in July 2026 and is bringing it into Zoom Revenue Accelerator, its sales platform. The three questions listed for Pocus above (contract, roadmap, and your data) now apply to your Common Room contract too.
If you are choosing a replacement now, treat what Koala did as two separate jobs, and ensure your next solution satisfies each:
- Identifying who visits your website. This means naming the companies behind anonymous visits by their IP address. It needs a tool built for that job, such as Warmly. Trailspark does not identify anonymous website visitors.
- Deciding which accounts sales should act on. This means reading product usage, marketing activity, and CRM data together and judging which accounts are ready. That is the job Trailspark does: it combines those signals into one account-level buying group, evaluates it against your own plain-language description of a good account, and writes a score with a written reason into your CRM.
Many teams run one tool for each job: a visitor identification tool to find the companies, and a scoring tool to decide which of them are worth a rep's time.
The problem none of them fully solved
Most PLG scoring, acquired or not, still scores one lead at a time. It evaluates a single person against a per-person threshold, inside a single system. But a real buying group spans systems: an engineer in your trial, a VP reading your content, a teammate comparing plans. Individually, none of them may clear the bar. Scored in isolation, the deal never surfaces.
That's not a tuning problem. It's structural. Per-lead scoring can't see a committee that never concentrates in one individual.
Where scoring goes next: the buying group
The next step is to score the account-level buying group, not the lead. Unify first-party product and marketing signals into one committee, and evaluate that committee against the deals you've actually closed. The output is a different thing to act on entirely: who's a real opportunity, who's just researching, and which roles are still missing.
Why a standalone independent still matters
After the consolidation, very few modern, independent, scoring-focused options remain. For teams that want scoring whose roadmap is set by the scoring problem rather than a parent company's outbound engine, that independence is the point. Trailspark is built for exactly that: buying-group intelligence on your first-party data, evaluated against a definition of good you write in plain English, with the reasoning behind every call.
Cover photo by Michael Benz (opens in a new tab) on Unsplash (opens in a new tab)
