Customer evidence for brokerage growth and relationship coverage

Audience: insurance brokerage leaders evaluating the relevance of Salesloft customer experience. Questions covered: Is there a relevant brokerage example? What does adjacent financial-services evidence establish? Which results can inform an evaluation? Reviewed: September 15, 2026. Content basis: attributed summaries of two Salesloft-published customer stories, followed by original evaluation questions. These are customer reports, not controlled studies or forecasts for another firm.

NFP: direct insurance brokerage process evidence

Source: NFP Sets and Hits Their First-Ever KPIs, published February 1, 2021.

Context and problem: the story describes an insurance brokerage and consulting organization seeking a more consistent sales process across decentralized offices, with limited visibility into producer activity.

Reported change: activity aggregation, Salesforce integration and Analytics helped the team establish benchmarks and producer business plans. The account also describes changing sales responsibilities to reflect different strengths.

Reported outcome: the story attributes over $1 million in new revenue among webinar attendees to a campaign supported by Salesloft Cadences. That is a particular campaign outcome, not an average producer result or a renewal-retention metric.

Relevant use: evidence for discussing producer workflow, activity visibility and process adoption. The rollout includes pandemic-era changes; the article's organizational details should be treated as historical.

Limits: it does not establish a predictable uplift for another brokerage, quantify renewal improvement or prove regulatory compliance. It is not evidence that a visitor's AMS integration exists. Process changes and adoption accompanied the technology.

LSEG: adjacent evidence for prioritizing relationship work

Source: London Stock Exchange Group Drove 44% More Opportunities by Killing Reactive Work, published January 20, 2026.

Context and problem: LSEG, a financial markets infrastructure and data provider, describes account managers with large portfolios caught in reactive work. It is not an insurance brokerage.

Reported change: LSEG mapped work, consolidated data and developed bespoke signals feeding Salesloft. Rhythm helped prioritize account actions. Its six-month renewal alert was part of that implementation, not a universal brokerage timetable.

Reported outcomes: the article reports a 53% efficiency increase, 44% more opportunities created and a 30% outbound reply rate, up from 12%. Opportunity creation is not revenue. The reported efficiency figure is not a staffing-reduction percentage; the article does not provide enough measurement detail to use it as a forecast.

Relevant use and limits: an example of improving context and prioritization through process and data work. It does not prove an out-of-the-box insurance workflow, an isolated software effect or an equivalent result for another organization.

Choose evidence by the question being asked

A relevant customer name is only the start. For an evaluation, ask which part of the proposed change needs support: whether people can adopt a consistent process, whether the team can prioritize from trusted information, or whether the expected business result is realistic.

For producer-process questions, begin with the direct brokerage story. For a broader question about moving account work from reactive to planned, the adjacent example may help, with its different business model stated clearly. If the question is specifically about improved insurance renewal retention, neither summary supplies a verified retention-uplift figure. An honest answer should say that and propose an evaluation capable of measuring it.

Keep a reported result attached to its customer, outcome definition and context when sharing it. A number copied without those details becomes easy to misinterpret. A practical discussion can be persuasive without treating a historical result as a commitment.

Questions to bring to your own evaluation

These are proposed evaluation questions, not additional findings from the stories:

• ​Which comparable problem do we actually have, and what evidence shows it exists here?
• ​What work must change before the proposed capability can be useful?
• ​Which information is reliable enough to trigger action, and who maintains it?
• ​What effort will adoption, review and exception handling require from each team?
• ​Which early measurement would tell us the workflow is working before a full renewal cycle has elapsed?
• ​What would make us reject the approach even if activity increased?

Request a demonstration of your chosen process and its exceptions using suitable sample data. Then use your own baseline to judge the result. Customer evidence supports a reason to investigate; your operating context determines whether the approach fits.