DATA ENRICHMENT AND CRM OPTIMISATION

• Review how the CRM is currently structured across contacts, companies, deals, activities, notes and ownership, then improve the architecture so sales teams can actually use it day to day alongside outsourced business development support.

• Configure pipeline stages, fields, views, tasks and reporting around the real sales process, so management can see where opportunities are, what has happened, what needs doing next and where deals are stalling.

• Improve data quality, segmentation and record structure so outreach, follow-up and account management activity can be run properly, rather than relying on fragmented records or manual workarounds.

• Align CRM workflows with live commercial activity, including prospecting, qualification, follow-up, opportunity progression and handover between team members.

• Support CRM use across platforms such as Zoho CRM, Microsoft 365-connected systems, LinkedIn Sales Navigator workflows, outreach tools and bespoke client databases, with the focus on making the system commercially useful rather than technically impressive.

Data enrichment is only useful if it improves the quality of commercial action. RPP helps turn incomplete or inconsistent CRM records into usable sales intelligence, so outreach, follow-up and account planning can be carried out with more confidence helping the B2B lead generation activity.

• Review existing CRM records to identify gaps, duplicates, outdated contacts, weak company information and records that cannot currently support meaningful sales activity.

• Clean and standardise company, contact, sector, location and role information so sales teams can search, segment and prioritise accounts properly.

• Add missing decision-maker details, job-title context, LinkedIn profile information, company websites, phone numbers and relevant account intelligence where appropriate.

• Identify whether contacts are still in role, whether companies are still trading, and whether records need updating, merging, archiving or rebuilding.

• Segment data by commercial relevance, sector, geography, seniority, account type and likely sales opportunity, rather than leaving all records in one undifferentiated database.

• Improve record structure so outbound activity, CRM tasks, follow-up notes, campaign history and opportunity progression can be managed clearly.

• Create cleaner, more usable data for LinkedIn outreach, email activity, telephone follow-up, account mapping and pipeline development.

Sourcing business data should never be a volume exercise. RPP helps build targeted B2B datasets around clearly agreed commercial criteria, so outreach activity is focused on relevant companies, appropriate decision-makers and legitimate business context.

• Build fresh target datasets around agreed ICP criteria, including sector, geography, company type, size, service relevance and decision-maker responsibility.

• Source business contact and company information from professional, publicly available and appropriate B2B data sources, with a focus on relevance and commercial suitability.

• Identify the right decision-maker groups, such as managing directors, sales directors, commercial directors, operations leaders, procurement contacts or other role types relevant to the proposition.

• Add useful account context, including company activity, website details, location, sector, service relevance and any available indicators that support sensible outreach prioritisation.

• Structure sourced data so it can be used properly within CRM, LinkedIn outreach, email activity, telephone follow-up and pipeline reporting.

• Apply sensible checks around data quality, role relevance, company status, duplication, suppression lists and existing client exclusions before outreach begins.

• Support responsible B2B outreach by helping clients work from clearly defined business relevance, appropriate targeting and properly managed CRM records.