Salesforce Software / SaaS United States

RealZips

Marketing Personalization · Sales Automation

Manual outreach slowed down the sales pipeline. With a sales team of just two employees, RealZips’ couldn’t afford the time spent manually researching prospects and crafting individually tailored emails.

Generative AI speeds up creating personalized outreach emails for reps by 10x.
It took each rep over an hour to research a new lead and 20 minutes to write a single outreach email.
RealZips delivers personalized outreach 10x faster with AI.
This automation reduces the time to craft a personalized email from 20 minutes to 2 minutes, enabling reps to reach 40% more new customers and boosting website traffic by 30% due t

Reported impact

Business outcome

Reported outcomes include Generative AI speeds up creating personalized outreach emails for reps by 10x., This automation reduces the time to craft a personalized email from 20 minutes to 2 minutes, enabling reps to reach 40% more new customers and boosting website traffic by 30% due t, and It took each rep over an hour to research a new lead and 20 minutes to write a single outreach email..

  • Productivity Improvement
  • Revenue Growth

Solution

Generative AI speeds up creating personalized outreach emails for reps by 10x. RealZips transformed its sales process by integrating zipcode-based data with website behavioral insights in Sales Cloud , giving sellers a unified view of leads. This unified data enables sellers to use pre-built Einstein Prompt Builder templates, tailored to specific use cases and industries, instead of writing emails from scratch. Each email is enriched with personalized data, including persona, demographics, and industry. For example, when targeting healthcare groups, Einstein Copilot generates emails that highlight RealZips’ benefits like enhanced targeting and improved access to care, based on the demand of the lead’s location. This automation reduces the time to craft a personalized email from 20 minutes to 2 minutes, enabling reps to reach 40% more new customers and boosting website traffic by 30% due to higher open rates.

Solution architecture

4 components · 2 layers
  1. Compute
    • Einstein AI Generates recommendations, summaries, and content that help teams generate personalized prospecting emails and suggest next steps for reps faster.
    • Einstein Prompt Builder Builds grounded prompt templates that personalize generate personalized prospecting emails and suggest next steps for reps.
    • Einstein Next Best Action Recommends the next best follow-up step while teams generate personalized prospecting emails and suggest next steps for reps.
  2. Serving
    • Sales Cloud Stores account, opportunity, and workflow data teams use to generate personalized prospecting emails and suggest next steps for reps.

Architecture clues

  • The deployment centers on Sales Cloud, Einstein AI, Einstein Prompt Builder as the core shared workflow stack.

Evidence from the source

Generative AI speeds up creating personalized outreach emails for reps by 10x.
It took each rep over an hour to research a new lead and 20 minutes to write a single outreach email.
Manual outreach slowed down the sales pipeline.
The company needed to free its reps from this manual work, allowing them to focus on selling.
This automation reduces the time to craft a personalized email from 20 minutes to 2 minutes, enabling reps to reach 40% more new customers and boosting website traffic by 30% due t
With a sales team of just two employees, RealZips’ couldn’t afford the time spent manually researching prospects and crafting individually tailored emails.
Transparency Evidence & methodology 95/100 reference value · 87% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value95/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Salesforce

    RealZips customer story

    First-party
    https://www.salesforce.com/customer-stories/realzips/
    Source type
    Vendor-published customer story
    Published
    Aug 16, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Aug 16, 2024 · Salesforce · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.