Blog · Alternatives and comparisons
Choose an approach by the question your sales and marketing teams need to answer. Compare prospect research with internal CRM analysis, then test the choice on a checked campaign export.
Marketing and sales intelligence solutions are best evaluated by the question they must answer: who to approach, where leads stall, or which campaigns produce recorded sales outcomes. Internal CRM exports can answer much of the second and third questions when their identifiers, dates and definitions agree. Start there before buying a source of information your current records already contain.
The word intelligence covers several jobs. A prospect research service may help identify companies or contacts outside your CRM. Internal analysis starts with the accounts, campaign responses and opportunities your business has already recorded. Neither output substitutes for the other.
External research has a legitimate place. The US Small Business Administration's market research guidance distinguishes questions about market demand, size and demographics from research into a specific customer base. Your CRM cannot reveal companies it has never encountered; an external market estimate cannot explain why your own accepted opportunities did not close.
Write the question before choosing the approach. “Which named accounts fit our territory?” needs different evidence from “Which source produced accepted opportunities?” The sales intelligence definition gives the broader context, while the comparison of sales analytics and revenue intelligence separates the overlapping terms.
There is no universal winner. Match the method to the records available and the frequency of the decision.
| Approach | Best fit | Evidence to request before choosing |
|---|---|---|
| Prospect data and research services | Finding potential accounts or contacts beyond existing records | Source, coverage, update dates and permitted use of the supplied information |
| Existing CRM reports | Reviewing leads, ownership, stages and recorded opportunities | Definitions of stage, source and close date, plus access to the underlying records |
| A spreadsheet analysis | Testing a specific question on a manageable export | Visible formulas, stable identifiers and a reconciliation to the source totals |
| A recurring BI report | Repeating an agreed comparison for the same audience | Consistent filters, responsibility for definitions and a way to inspect exceptions |
| File-based analysis with Covirage | Computing and explaining comparisons from business files or Google Sheets | The supplied columns, calculation basis, checks and rows supporting each figure |
Ask the same question of each approach. Do not reward a polished prospect list for failing to explain campaign conversion, or judge an internal report by whether it discovers new contacts. Decide separately whether your team needs more information, better use of existing information, or both.
Consider a US industrial supplier reviewing leads created from July 1 through September 30, 2026, with opportunity outcomes observed through October 23, 2026. Its agreed rule assigns each lead and opportunity to one originating campaign. Each lead creates at most one opportunity in this example, so opportunity counts equal distinct converted-lead counts. This is a management classification, not proof of causal impact.
The lead export needs lead ID, creation date and campaign source. The opportunity export needs opportunity ID, linked lead ID, stage, outcome date and closed-won value in USD. Keep campaign costs in a separate campaign-level table so that joining them to many leads does not multiply spending. The guide to sales intelligence from existing records covers other useful files.
After deduplicating identifiers, the team produces this comparison. All counts and amounts below are illustrative business inputs.
| Originating campaign | Leads | Opportunities | Won opportunities | Closed-won value (USD) | Campaign cost (USD) |
|---|---|---|---|---|---|
| Webinar | 120 | 24 | 6 | 90,000 | 12,000 |
| Paid search | 240 | 24 | 4 | 60,000 | 18,000 |
| Partner event | 80 | 20 | 5 | 100,000 | 20,000 |
| Total | 440 | 68 | 15 | 250,000 | 50,000 |
The evaluation should reproduce these measures from the same rows:
Lead-to-opportunity conversion = Opportunities / Leads
Opportunity-to-win conversion = Won opportunities / Opportunities
Campaign cost per won opportunity = Campaign cost / Won opportunities
| Originating campaign | Lead-to-opportunity conversion | Opportunity-to-win conversion | Cost per won opportunity (USD) |
|---|---|---|---|
| Webinar | 20.0% | 25.0% | 2,000.00 |
| Paid search | 10.0% | 16.7% | 4,500.00 |
| Partner event | 25.0% | 25.0% | 4,000.00 |
| Total | 15.5% | 22.1% | 3,333.33 |
Percentages are rounded to one decimal place; unit costs are rounded to cents. Webinar cost per win is 12,000 / 6 = $2,000.00. The total uses 50,000 / 15 = $3,333.33, rather than averaging the campaign ratios.
These results identify questions for investigation. Paid search supplied more leads than either other campaign but produced fewer wins. Review its qualification rules and lead disposition before changing the budget. The partner event produced the highest closed-won value, but that value is neither collected cash nor profit.
The campaign counts must sum to 440 unique leads, 68 unique opportunities and 15 won opportunities in the filtered exports. Closed-won opportunity values must sum to $250,000. Campaign invoices and approved internal allocations must sum to $50,000 independently of how many lead rows they match.
In Excel, a source-level won-value total can use SUMIFS. With source in column A, stage in B, value in C and the campaign name in H2, the formula is:
=SUMIFS(C2:C1000,A2:A1000,H2,B2:B1000,"Closed won")
Microsoft documents SUMIFS as summing values that meet multiple criteria. Use an export already filtered to the agreed cohort and observation date. Covirage is not affiliated with Microsoft.
Then ask both teams what action follows. Marketing might review paid-search qualification; sales might inspect rejected leads and stalled handoffs. Finance should confirm costs and distinguish opportunity value from recognized revenue. Agree the measures through a shared sales and marketing metrics review, and use revenue operations metrics when the disputed result spans several teams.
Bring a CRM export or Google Sheet with agreed campaign assignments, opportunity outcomes and the costs needed for your comparison. Covirage maps the columns; its tools compute and check the figures, and the external AI model explains the result with every figure traced to its rows. Create a free Covirage account, which takes about a minute, then set up your business and bring a sample of your own data.
See Covirage for sales intelligence for the supporting context.
Prospect intelligence supplies information about potential customers outside your current records. Sales analytics examines records you already hold, such as leads, opportunities and closed deals. A team may need both, but comparing their outputs as if they answer the same question obscures the buying decision.
They can answer questions about recorded sources, lead conversion and deal outcomes when identifiers and dates are consistent. Add campaign cost records to evaluate acquisition spending. Use invoice or ledger records when the question concerns recognized revenue rather than the value of won opportunities.
Give each approach the same business question, export and definitions. Check whether the result reconciles to unique opportunities, whether excluded records are visible, and whether both teams can reproduce the denominator. Judge the work required to explain a disputed figure as well as the finished presentation.
Covirage's role here is analysis of files or Google Sheets that a business brings. It maps columns, computes and checks figures with its tools, and uses the external AI model to explain results traced to their rows. This is different from purchasing prospect records or contact enrichment.